"mdu"	"lc"	"idp"	"lpi"	"fmde"	"physlim"	"ndisease"	"health"	"linc"	"lfam"	"educdec"	"age"	"sex"	"child"	"black"
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	42.87748	"male"	FALSE	TRUE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	43.87748	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	44.87748	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	45.87748	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	46.87748	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	16.59138	"male"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	17.59138	"male"	TRUE	TRUE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	18.59138	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	19.59138	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	20.59138	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	14.49966	"female"	TRUE	TRUE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	15.49966	"female"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	16.49966	"female"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	17.49966	"female"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.528776	1.386294	12	18.49966	"female"	FALSE	TRUE
6	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	43.14305	"female"	FALSE	TRUE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	44.14305	"female"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	45.14305	"female"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	46.14305	"female"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.528776	1.386294	12	47.14305	"female"	FALSE	TRUE
1	0	TRUE	6.109248	0	FALSE	13.73189	"good"	8.538699	1.098612	12	13.54962	"female"	TRUE	TRUE
0	0	TRUE	6.109248	0	FALSE	13.73189	"good"	8.538699	1.098612	12	14.54962	"female"	TRUE	TRUE
0	0	TRUE	6.109248	0	FALSE	13.73189	"good"	8.538699	1.098612	12	15.54962	"female"	TRUE	TRUE
0	0	TRUE	6.109248	0	FALSE	13.73189	"good"	8.538699	1.098612	12	16.54962	"female"	TRUE	TRUE
0	0	TRUE	6.109248	0	FALSE	13.73189	"good"	8.538699	1.098612	12	17.54962	"female"	TRUE	TRUE
1	0	TRUE	6.109248	0	TRUE	13	"good"	8.538699	1.098612	12	15.28268	"female"	TRUE	TRUE
0	0	TRUE	6.109248	0	TRUE	13	"good"	8.538699	1.098612	12	16.28268	"female"	TRUE	TRUE
1	0	TRUE	6.109248	0	TRUE	13	"good"	8.538699	1.098612	12	17.28268	"female"	TRUE	TRUE
2	0	TRUE	6.109248	0	TRUE	13	"good"	8.538699	1.098612	12	18.28268	"female"	FALSE	TRUE
4	0	TRUE	6.109248	0	TRUE	13	"good"	8.538699	1.098612	12	19.28268	"female"	FALSE	TRUE
0	0	TRUE	6.109248	0	FALSE	17.4	"good"	8.538699	1.098612	12	38.83094	"female"	FALSE	TRUE
0	0	TRUE	6.109248	0	FALSE	17.4	"good"	8.538699	1.098612	12	39.83094	"female"	FALSE	TRUE
0	0	TRUE	6.109248	0	FALSE	17.4	"good"	8.538699	1.098612	12	40.83094	"female"	FALSE	TRUE
0	0	TRUE	6.109248	0	FALSE	17.4	"good"	8.538699	1.098612	12	41.83094	"female"	FALSE	TRUE
0	0	TRUE	6.109248	0	FALSE	17.4	"good"	8.538699	1.098612	12	42.83094	"female"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	0.6931472	0	12	24.60233	"male"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	0.6931472	0	12	25.60233	"male"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	0.6931472	0	12	26.60233	"male"	FALSE	TRUE
0	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	9	15.74538	"female"	TRUE	TRUE
0	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	9	16.74538	"female"	TRUE	TRUE
0	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	9	17.74538	"female"	TRUE	TRUE
1	0	FALSE	6.006353	0	FALSE	4.3	"good"	8.682863	1.386294	9	60.48734	"female"	FALSE	TRUE
0	0	FALSE	6.006353	0	FALSE	4.3	"good"	8.682863	1.386294	9	61.48734	"female"	FALSE	TRUE
0	0	FALSE	6.006353	0	FALSE	4.3	"good"	8.682863	1.386294	9	62.48734	"female"	FALSE	TRUE
0	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	9	14.59001	"female"	TRUE	TRUE
0	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	9	15.59001	"female"	TRUE	TRUE
0	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	9	16.59001	"female"	TRUE	TRUE
1	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	4	59.27721	"male"	FALSE	TRUE
0	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	4	60.27721	"male"	FALSE	TRUE
7	0	FALSE	6.006353	0	FALSE	13	"good"	8.682863	1.386294	4	61.27721	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	8.187899	1.098612	12	14.22313	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	8.187899	1.098612	12	15.22313	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	8.187899	1.098612	12	16.22313	"male"	TRUE	TRUE
8	0	FALSE	0	0	FALSE	0	"excellent"	8.187899	1.098612	7	45.42916	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	0	"excellent"	8.187899	1.098612	7	46.42916	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	0	"excellent"	8.187899	1.098612	7	47.42916	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	8.187899	1.098612	12	37.11157	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	8.187899	1.098612	12	38.11157	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	8.7	"excellent"	8.187899	1.098612	12	39.11157	"female"	FALSE	TRUE
4	0	TRUE	6.802395	0	FALSE	17.4	"good"	9.347488	0.6931472	11	55.32923	"female"	FALSE	TRUE
5	0	TRUE	6.802395	0	FALSE	17.4	"good"	9.347488	0.6931472	11	56.32923	"female"	FALSE	TRUE
14	0	TRUE	6.802395	0	FALSE	17.4	"good"	9.347488	0.6931472	11	57.32923	"female"	FALSE	TRUE
3	0	TRUE	6.802395	0	FALSE	13	"good"	9.347488	0.6931472	7	59.01711	"male"	FALSE	TRUE
3	0	TRUE	6.802395	0	FALSE	13	"good"	9.347488	0.6931472	7	60.01711	"male"	FALSE	TRUE
5	0	TRUE	6.802395	0	FALSE	13	"good"	9.347488	0.6931472	7	61.01711	"male"	FALSE	TRUE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	10.00411	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	11.00411	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	12.00411	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	13.00411	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	14.00411	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.934221	1.609438	13	32.61328	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.934221	1.609438	13	33.61328	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.934221	1.609438	13	34.61328	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.934221	1.609438	13	35.61328	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.934221	1.609438	13	36.61328	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"excellent"	8.934221	1.609438	12	32.50377	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"excellent"	8.934221	1.609438	12	33.50377	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"excellent"	8.934221	1.609438	12	34.50377	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"excellent"	8.934221	1.609438	12	35.50377	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"excellent"	8.934221	1.609438	12	36.50377	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	3.720739	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	4.720739	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	5.720739	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	6.720739	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	7.720739	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	8.309377	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	9.309377	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	10.30938	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	11.30938	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.934221	1.609438	12	12.30938	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	30.4	"excellent"	8.969012	1.098612	13	61.42642	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	30.4	"excellent"	8.969012	1.098612	13	62.42642	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	30.4	"excellent"	8.969012	1.098612	13	63.42642	"male"	FALSE	FALSE
15	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.969012	1.098612	12	55.06366	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.969012	1.098612	12	56.06366	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.969012	1.098612	12	57.06366	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	8.969012	1.098612	12	19.02259	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	8.969012	1.098612	12	20.02259	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	8.969012	1.098612	12	21.02259	"female"	FALSE	FALSE
21	0	FALSE	0	0	FALSE	13	"fair"	9.467759	0.6931472	12	45.82067	"female"	FALSE	FALSE
15	0	FALSE	0	0	FALSE	13	"fair"	9.467759	0.6931472	12	46.82067	"female"	FALSE	FALSE
20	0	FALSE	0	0	FALSE	13	"fair"	9.467759	0.6931472	12	47.82067	"female"	FALSE	FALSE
20	0	FALSE	0	0	FALSE	13	"fair"	9.467759	0.6931472	12	48.82067	"female"	FALSE	FALSE
17	0	FALSE	0	0	FALSE	13	"fair"	9.467759	0.6931472	12	49.82067	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	17.4	"good"	9.467759	0.6931472	11	52.62149	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	17.4	"good"	9.467759	0.6931472	11	53.62149	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	17.4	"good"	9.467759	0.6931472	11	54.62149	"male"	FALSE	FALSE
15	0	FALSE	0	0	FALSE	17.4	"good"	9.467759	0.6931472	11	55.62149	"male"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	17.4	"good"	9.467759	0.6931472	11	56.62149	"male"	FALSE	FALSE
6	3.931826	FALSE	6.683361	7.376508	FALSE	0	"good"	9.594641	1.098612	14	21.68652	"female"	FALSE	FALSE
3	3.931826	FALSE	6.683361	7.376508	FALSE	0	"good"	9.594641	1.098612	14	22.68652	"female"	FALSE	FALSE
7	3.931826	FALSE	6.683361	7.376508	FALSE	0	"good"	9.594641	1.098612	14	23.68652	"female"	FALSE	FALSE
1	3.931826	FALSE	6.683361	7.376508	FALSE	34.8	"good"	9.594641	1.098612	11	48.81862	"female"	FALSE	FALSE
1	3.931826	FALSE	6.683361	7.376508	FALSE	34.8	"good"	9.594641	1.098612	11	49.81862	"female"	FALSE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	34.8	"good"	9.594641	1.098612	11	50.81862	"female"	FALSE	FALSE
1	3.931826	FALSE	6.683361	7.376508	FALSE	13	"fair"	9.594641	1.098612	9	47.6961	"male"	FALSE	FALSE
1	3.931826	FALSE	6.683361	7.376508	FALSE	13	"fair"	9.594641	1.098612	9	48.6961	"male"	FALSE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13	"fair"	9.594641	1.098612	9	49.6961	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"good"	9.454969	1.791759	12	15.7755	"male"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	0	"good"	9.454969	1.791759	12	16.7755	"male"	TRUE	FALSE
12	0	TRUE	6.907755	0	FALSE	0	"good"	9.454969	1.791759	12	17.7755	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	17.4	"fair"	9.454969	1.791759	12	43.87132	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	17.4	"fair"	9.454969	1.791759	12	44.87132	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	17.4	"fair"	9.454969	1.791759	12	45.87132	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.454969	1.791759	12	11.95072	"female"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.454969	1.791759	12	12.95072	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.454969	1.791759	12	13.95072	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.454969	1.791759	12	14.44216	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.454969	1.791759	12	15.44216	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.454969	1.791759	12	16.44216	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	TRUE	13	"good"	9.454969	1.791759	12	43.46064	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	TRUE	13	"good"	9.454969	1.791759	12	44.46064	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	TRUE	13	"good"	9.454969	1.791759	12	45.46064	"female"	FALSE	FALSE
20	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.454969	1.791759	12	17.13895	"male"	TRUE	FALSE
15	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.454969	1.791759	12	18.13895	"male"	FALSE	FALSE
11	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.454969	1.791759	12	19.13895	"male"	FALSE	FALSE
69	0	FALSE	6.393591	0	TRUE	13.73189	"fair"	8.834574	0.6931472	10	54.21492	"female"	FALSE	FALSE
58	0	FALSE	6.393591	0	TRUE	13.73189	"fair"	8.834574	0.6931472	10	55.21492	"female"	FALSE	FALSE
63	0	FALSE	6.393591	0	TRUE	13.73189	"fair"	8.834574	0.6931472	10	56.21492	"female"	FALSE	FALSE
2	0	FALSE	6.393591	0	TRUE	13.73189	"excellent"	8.834574	0.6931472	9	49.56879	"male"	FALSE	FALSE
3	0	FALSE	6.393591	0	TRUE	13.73189	"excellent"	8.834574	0.6931472	9	50.56879	"male"	FALSE	FALSE
2	0	FALSE	6.393591	0	TRUE	13.73189	"excellent"	8.834574	0.6931472	9	51.56879	"male"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.116807	1.386294	12	6.171116	"male"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.116807	1.386294	12	7.171116	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.116807	1.386294	12	8.171116	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.116807	1.098612	12	9.171116	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.116807	1.098612	12	10.17112	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.116807	1.386294	12	10.39288	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.116807	1.386294	12	11.39288	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.116807	1.386294	12	12.39288	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.116807	1.098612	12	13.39288	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.116807	1.098612	12	14.39288	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	17.4	"excellent"	9.116807	1.386294	10	44.80219	"male"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	17.4	"excellent"	9.116807	1.386294	10	45.80219	"male"	FALSE	FALSE
12	0	FALSE	0	0	FALSE	17.4	"excellent"	9.116807	1.386294	10	46.80219	"male"	FALSE	FALSE
35	0	FALSE	0	0	FALSE	13	"excellent"	9.116807	1.386294	12	33.42916	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	13	"excellent"	9.116807	1.386294	12	34.42916	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13	"excellent"	9.116807	1.386294	12	35.42916	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13	"excellent"	9.116807	1.098612	12	36.42916	"female"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	13	"excellent"	9.116807	1.098612	12	37.42916	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.410387	1.609438	17	35.87132	"male"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.410387	1.609438	17	36.87132	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.410387	1.609438	17	37.87132	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.410387	1.609438	17	38.87132	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.410387	1.609438	17	39.87132	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	10.94045	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	11.94045	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	12.94045	"male"	TRUE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	13.94045	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	14.94045	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	33.19096	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	34.19096	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	35.19096	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	36.19096	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	37.19096	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	7.750855	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	8.750855	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	9.750855	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	10.75086	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	11.75086	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	6.606434	"female"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	7.606434	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	8.606434	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	9.606434	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.410387	1.609438	16	10.60643	"female"	TRUE	FALSE
16	0	FALSE	0	0	TRUE	21.7	"good"	10.0132	2.079442	12	41.1143	"female"	FALSE	FALSE
16	0	FALSE	0	0	TRUE	21.7	"good"	10.0132	2.079442	12	42.1143	"female"	FALSE	FALSE
17	0	FALSE	0	0	TRUE	21.7	"good"	10.0132	2.197225	12	43.1143	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"excellent"	10.0132	2.079442	12	17.30869	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13	"excellent"	10.0132	2.079442	12	18.30869	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13	"excellent"	10.0132	2.197225	12	19.30869	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	10.0132	2.079442	12	18.41205	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"excellent"	10.0132	2.079442	12	19.41205	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	10.0132	2.197225	12	20.41205	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	4.3	"good"	10.0132	2.079442	12	14.19576	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	4.3	"good"	10.0132	2.079442	12	15.19576	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	4.3	"good"	10.0132	2.197225	12	16.19576	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	0	"excellent"	10.0132	2.079442	12	16.1807	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	10.0132	2.079442	12	17.1807	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	0	"excellent"	10.0132	2.197225	12	18.1807	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	26.1	"excellent"	10.0132	2.079442	16	43.61123	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	26.1	"excellent"	10.0132	2.079442	16	44.61123	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	26.1	"excellent"	10.0132	2.197225	16	45.61123	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	10.0132	2.079442	12	10.42026	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	10.0132	2.079442	12	11.42026	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	10.0132	2.197225	12	12.42026	"male"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	13.73189	"good"	10.0132	2.079442	12	11.50445	"male"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	13.73189	"good"	10.0132	2.079442	12	12.50445	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	13.73189	"good"	10.0132	2.197225	12	13.50445	"male"	TRUE	FALSE
7	0	FALSE	5.446737	0	TRUE	13	"good"	8.96339	1.609438	12	41.70842	"male"	FALSE	FALSE
19	0	FALSE	5.446737	0	TRUE	13	"good"	8.96339	1.609438	12	42.70842	"male"	FALSE	FALSE
0	0	FALSE	5.446737	0	TRUE	13	"good"	8.96339	1.609438	12	43.70842	"male"	FALSE	FALSE
12	0	FALSE	5.446737	0	FALSE	17.4	"excellent"	8.96339	1.609438	10	31.87406	"female"	FALSE	FALSE
7	0	FALSE	5.446737	0	FALSE	17.4	"excellent"	8.96339	1.609438	10	32.87406	"female"	FALSE	FALSE
3	0	FALSE	5.446737	0	FALSE	17.4	"excellent"	8.96339	1.609438	10	33.87406	"female"	FALSE	FALSE
0	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	10.96509	"male"	TRUE	FALSE
0	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	11.96509	"male"	TRUE	FALSE
1	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	12.96509	"male"	TRUE	FALSE
9	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	12.13415	"male"	TRUE	FALSE
2	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	13.13415	"male"	TRUE	FALSE
2	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	14.13415	"male"	TRUE	FALSE
3	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	9.24846	"male"	TRUE	FALSE
3	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	10.24846	"male"	TRUE	FALSE
2	0	FALSE	5.446737	0	FALSE	13.73189	"excellent"	8.96339	1.609438	10	11.24846	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	3.129364	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	4.129364	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	5.129364	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	6.129364	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	7.129364	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	25.76591	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	26.76591	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	27.76591	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	28.76591	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	29.76591	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	25.56058	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	26.56058	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	27.56058	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	28.56058	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.931109	1.386294	12	29.56058	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	1.284052	"female"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	2.284052	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	3.284052	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	4.284052	"female"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.931109	1.386294	12	5.284052	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.760442	0.6931472	12	42.06982	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.760442	0.6931472	12	43.06982	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.760442	0.6931472	12	44.06982	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.760442	0.6931472	12	45.06982	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.760442	0.6931472	12	46.06982	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"good"	8.760442	0.6931472	9	52.39151	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"good"	8.760442	0.6931472	9	53.39151	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"good"	8.760442	0.6931472	9	54.39151	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"good"	8.760442	0.6931472	9	55.39151	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"good"	8.760442	0.6931472	9	56.39151	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.63727	0.6931472	14	56.06297	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.63727	0.6931472	14	57.06297	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.63727	0.6931472	14	58.06297	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.63727	0.6931472	14	59.06297	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.63727	0.6931472	14	60.06297	"male"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.63727	0.6931472	12	55.58659	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.63727	0.6931472	12	56.58659	"female"	FALSE	FALSE
10	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.63727	0.6931472	12	57.58659	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.63727	0.6931472	12	58.58659	"female"	FALSE	FALSE
11	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.63727	0.6931472	12	59.58659	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.78987	1.609438	12	32.282	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.78987	1.609438	12	33.282	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.78987	1.609438	12	34.282	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.78987	1.386294	12	35.282	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.78987	1.386294	12	36.282	"female"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.78987	1.609438	12	11.11567	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.78987	1.609438	12	12.11567	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.78987	1.609438	12	13.11567	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.78987	1.386294	12	14.11567	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.78987	1.386294	12	15.11567	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.609438	12	12.27378	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.609438	12	13.27378	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.609438	12	14.27378	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.386294	12	15.27378	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.386294	12	16.27378	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.609438	12	5.952087	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.609438	12	6.952087	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.609438	12	7.952087	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.386294	12	8.952087	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.78987	1.386294	12	9.952087	"female"	TRUE	FALSE
11	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	8.78987	1.609438	12	35.60849	"male"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	8.78987	1.609438	12	36.60849	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	8.78987	1.609438	12	37.60849	"male"	FALSE	FALSE
1	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	31.08829	"male"	FALSE	FALSE
2	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	32.08829	"male"	FALSE	FALSE
4	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	33.08829	"male"	FALSE	FALSE
0	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	30.91855	"female"	FALSE	FALSE
0	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	31.91855	"female"	FALSE	FALSE
1	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	32.91855	"female"	FALSE	FALSE
0	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	10.27515	"female"	TRUE	FALSE
0	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	11.27515	"female"	TRUE	FALSE
0	3.258096	FALSE	6.300786	7.68708	FALSE	13.73189	"good"	8.665507	1.098612	12	12.27515	"female"	TRUE	FALSE
4	0	TRUE	6.55108	0	FALSE	17.4	"excellent"	8.498485	0	12	31.66051	"female"	FALSE	FALSE
10	0	TRUE	6.55108	0	FALSE	17.4	"excellent"	8.498485	0	12	32.66051	"female"	FALSE	FALSE
1	0	TRUE	6.55108	0	FALSE	17.4	"excellent"	8.498485	0	12	33.66051	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	7.850813	0.6931472	10	5.303217	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	7.850813	0.6931472	10	6.303217	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	7.850813	0.6931472	10	7.303217	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	7.850813	0.6931472	10	37.57426	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	7.850813	0.6931472	10	38.57426	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	7.850813	0.6931472	10	39.57426	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.940823	0.6931472	15	14.57632	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.940823	0.6931472	15	15.57632	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.940823	0.6931472	15	16.57632	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	17.4	"excellent"	8.940823	0.6931472	15	55.44969	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	17.4	"excellent"	8.940823	0.6931472	15	56.44969	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	17.4	"excellent"	8.940823	0.6931472	15	57.44969	"female"	FALSE	FALSE
3	0	TRUE	5.843544	0	FALSE	4.3	"excellent"	8.419606	0	16	23.95893	"female"	FALSE	FALSE
2	0	TRUE	5.843544	0	FALSE	4.3	"excellent"	8.419606	0	16	24.95893	"female"	FALSE	FALSE
1	0	TRUE	5.843544	0	FALSE	4.3	"excellent"	8.419606	0	16	25.95893	"female"	FALSE	FALSE
1	0	TRUE	5.843544	0	FALSE	4.3	"excellent"	8.419606	0	16	26.95893	"female"	FALSE	FALSE
2	0	TRUE	5.843544	0	FALSE	4.3	"excellent"	8.419606	0.6931472	16	27.95893	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"good"	8.792982	0	12	19.63039	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"good"	8.792982	0	12	20.63039	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"good"	8.792982	0	12	21.63039	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"good"	8.792982	0.6931472	12	22.63039	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"good"	8.792982	0.6931472	12	23.63039	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	4.3	"excellent"	9.163564	0	12	19.99726	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.163564	0	12	20.99726	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.163564	0	12	21.99726	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	4.3	"excellent"	9.163564	0	12	22.99726	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.163564	0	12	23.99726	"male"	FALSE	FALSE
11	0	TRUE	6.907755	0	TRUE	8.7	"good"	7.806173	1.386294	17	46.06434	"male"	FALSE	FALSE
44	0	TRUE	6.907755	0	TRUE	8.7	"good"	7.806173	1.386294	17	47.06434	"male"	FALSE	FALSE
7	0	TRUE	6.907755	0	TRUE	8.7	"good"	7.806173	1.386294	17	48.06434	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	7.806173	1.386294	12	17.00479	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	7.806173	1.386294	12	18.00479	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13	"good"	7.806173	1.386294	12	19.00479	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"good"	7.806173	1.386294	12	9.601643	"female"	TRUE	FALSE
3	0	TRUE	6.907755	0	TRUE	13.73189	"good"	7.806173	1.386294	12	10.60164	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"good"	7.806173	1.386294	12	11.60164	"female"	TRUE	FALSE
8	0	TRUE	6.907755	0	TRUE	39.1	"fair"	7.806173	1.386294	12	47.8987	"female"	FALSE	FALSE
6	0	TRUE	6.907755	0	TRUE	39.1	"fair"	7.806173	1.386294	12	48.8987	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	TRUE	39.1	"fair"	7.806173	1.386294	12	49.8987	"female"	FALSE	FALSE
3	3.258096	FALSE	5.420535	6.806829	TRUE	21.7	"good"	6.99821	0	6	60.81862	"female"	FALSE	FALSE
3	3.258096	FALSE	5.420535	6.806829	TRUE	21.7	"good"	6.99821	0	6	61.81862	"female"	FALSE	FALSE
3	3.258096	FALSE	5.420535	6.806829	TRUE	21.7	"good"	6.99821	0	6	62.81862	"female"	FALSE	FALSE
2	3.258096	FALSE	6.272877	7.659172	FALSE	8.7	"excellent"	8.151547	0	12	21.80698	"female"	FALSE	FALSE
1	3.258096	FALSE	6.272877	7.659172	FALSE	8.7	"excellent"	8.151547	0	12	22.80698	"female"	FALSE	FALSE
1	3.258096	FALSE	6.272877	7.659172	FALSE	8.7	"excellent"	8.151547	0	12	23.80698	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	0	"good"	8.514742	1.098612	11	33.18549	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"good"	8.514742	1.098612	11	34.18549	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	8.514742	1.098612	11	35.18549	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.514742	1.098612	12	6.672143	"male"	TRUE	FALSE
17	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.514742	1.098612	12	7.672143	"male"	TRUE	FALSE
21	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.514742	1.098612	12	8.672142	"male"	TRUE	FALSE
5	0	TRUE	6.907755	0	TRUE	39.1	"good"	8.514742	1.098612	12	29.27858	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	TRUE	39.1	"good"	8.514742	1.098612	12	30.27858	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	TRUE	39.1	"good"	8.514742	1.098612	12	31.27858	"female"	FALSE	FALSE
10	0	FALSE	0	0	TRUE	13.73189	"poor"	9.111206	2.079442	12	39.57837	"female"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	13.73189	"poor"	9.111206	2.079442	12	40.57837	"female"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	13.73189	"poor"	9.111206	2.079442	12	41.57837	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	13.73189	"poor"	9.111206	2.079442	12	42.57837	"female"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	13.73189	"poor"	9.111206	2.079442	12	43.57837	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	9.535934	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	10.53593	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	11.53593	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	12.53593	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	13.53593	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	4.971937	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	5.971937	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	6.971937	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	7.971937	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	8.971937	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	16.19986	"male"	TRUE	TRUE
7	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	17.19986	"male"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	18.19986	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	19.19986	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	20.19986	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	12	7.827516	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	12	8.827516	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	12	9.827516	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	12	10.82752	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	12	11.82752	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	14.91307	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	15.91307	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	16.91307	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	17.91307	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.111206	2.079442	12	18.91307	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	3	37.17728	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	3	38.17728	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	3	39.17728	"male"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	3	40.17728	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	9.111206	2.079442	3	41.17728	"male"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.098612	8	13.06776	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.098612	8	14.06776	"female"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.098612	8	15.06776	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	9.163564	1.098612	8	55.04175	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	9.163564	1.098612	8	56.04175	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	9.163564	1.098612	8	57.04175	"male"	FALSE	TRUE
9	0	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	1.098612	8	46.06982	"female"	FALSE	TRUE
9	0	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	1.098612	8	47.06982	"female"	FALSE	TRUE
10	0	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	1.098612	8	48.06982	"female"	FALSE	TRUE
2	3.258096	FALSE	5.720312	7.106606	FALSE	13.73189	"fair"	8.425471	0	9	54.19576	"female"	FALSE	TRUE
5	3.258096	FALSE	5.720312	7.106606	FALSE	13.73189	"fair"	8.425471	0	9	55.19576	"female"	FALSE	TRUE
9	3.258096	FALSE	5.720312	7.106606	FALSE	13.73189	"fair"	8.425471	0	9	56.19576	"female"	FALSE	TRUE
48	3.258096	FALSE	5.720312	7.106606	FALSE	13.73189	"fair"	8.425471	0	9	57.19576	"female"	FALSE	TRUE
8	3.258096	FALSE	5.720312	7.106606	FALSE	13.73189	"fair"	8.425471	0	9	58.19576	"female"	FALSE	TRUE
5	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.22772	1.609438	12	14.47775	"female"	TRUE	FALSE
8	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.22772	1.609438	12	15.47775	"female"	TRUE	FALSE
14	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.22772	1.609438	12	16.47775	"female"	TRUE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.22772	1.609438	12	11.84668	"female"	TRUE	FALSE
10	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.22772	1.609438	12	12.84668	"female"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.22772	1.609438	12	13.84668	"female"	TRUE	FALSE
7	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.22772	1.609438	12	4.596851	"female"	TRUE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.22772	1.609438	12	5.596851	"female"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.22772	1.609438	12	6.596851	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	9.22772	1.609438	12	35.14032	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	9.22772	1.609438	12	36.14032	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	9.22772	1.609438	12	37.14032	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.22772	1.609438	12	37.46749	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.22772	1.609438	12	38.46749	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.22772	1.609438	12	39.46749	"male"	FALSE	FALSE
30	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"poor"	8.558941	0.6931472	11	56.80493	"male"	FALSE	FALSE
25	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"poor"	8.558941	0.6931472	11	57.80493	"male"	FALSE	FALSE
18	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"poor"	8.558941	0.6931472	11	58.80493	"male"	FALSE	FALSE
15	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"poor"	8.558941	0.6931472	11	59.80493	"male"	FALSE	FALSE
20	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"poor"	8.558941	0.6931472	11	60.80493	"male"	FALSE	FALSE
45	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"good"	8.558941	0.6931472	12	46.55989	"female"	FALSE	FALSE
28	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"good"	8.558941	0.6931472	12	47.55989	"female"	FALSE	FALSE
14	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"good"	8.558941	0.6931472	12	48.55989	"female"	FALSE	FALSE
14	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"good"	8.558941	0.6931472	12	49.55989	"female"	FALSE	FALSE
28	3.258096	FALSE	6.907755	8.294049	TRUE	43.5	"good"	8.558941	0.6931472	12	50.55989	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.212609	1.386294	17	36.75565	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.212609	1.386294	17	37.75565	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.212609	1.386294	17	38.75565	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.212609	1.386294	17	6.329911	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.212609	1.386294	17	7.329911	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.212609	1.386294	17	8.329911	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.212609	1.386294	17	13.42642	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.212609	1.386294	17	14.42642	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.212609	1.386294	17	15.42642	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.212609	1.386294	10	42.07529	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.212609	1.386294	10	43.07529	"male"	FALSE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.212609	1.386294	10	44.07529	"male"	FALSE	FALSE
0	0	TRUE	5.883322	0	FALSE	0	"good"	8.652697	1.098612	13	27.76728	"female"	FALSE	FALSE
0	0	TRUE	5.883322	0	FALSE	0	"good"	8.652697	1.098612	13	28.76728	"female"	FALSE	FALSE
1	0	TRUE	5.883322	0	FALSE	0	"good"	8.652697	1.098612	13	29.76728	"female"	FALSE	FALSE
0	0	TRUE	5.883322	0	FALSE	13.73189	"excellent"	8.652697	1.098612	13	8.008214	"male"	TRUE	FALSE
0	0	TRUE	5.883322	0	FALSE	13.73189	"excellent"	8.652697	1.098612	13	9.008214	"male"	TRUE	FALSE
2	0	TRUE	5.883322	0	FALSE	13.73189	"excellent"	8.652697	1.098612	13	10.00821	"male"	TRUE	FALSE
0	0	TRUE	5.883322	0	FALSE	26.1	"excellent"	8.652697	1.098612	16	27.1102	"male"	FALSE	FALSE
0	0	TRUE	5.883322	0	FALSE	26.1	"excellent"	8.652697	1.098612	16	28.1102	"male"	FALSE	FALSE
0	0	TRUE	5.883322	0	FALSE	26.1	"excellent"	8.652697	1.098612	16	29.1102	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.801676	1.791759	12	17.12252	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.801676	1.791759	12	18.12252	"female"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	26.1	"fair"	9.801676	1.791759	12	19.14305	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	26.1	"fair"	9.801676	1.791759	12	20.14305	"female"	FALSE	FALSE
9	0	TRUE	6.907755	0	FALSE	26.1	"fair"	9.801676	1.609438	12	21.14305	"female"	FALSE	FALSE
10	0	TRUE	6.907755	0	FALSE	26.1	"fair"	9.801676	1.609438	12	22.14305	"female"	FALSE	FALSE
9	0	TRUE	6.907755	0	FALSE	26.1	"fair"	9.801676	1.609438	12	23.14305	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.801676	1.791759	12	43.6961	"male"	FALSE	FALSE
9	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.801676	1.791759	12	44.6961	"male"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.801676	1.609438	12	45.6961	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.801676	1.609438	12	46.6961	"male"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.801676	1.609438	12	47.6961	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	TRUE	8.7	"good"	9.801676	1.791759	12	39.83847	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	TRUE	8.7	"good"	9.801676	1.791759	12	40.83847	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	TRUE	8.7	"good"	9.801676	1.609438	12	41.83847	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	TRUE	8.7	"good"	9.801676	1.609438	12	42.83847	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	TRUE	8.7	"good"	9.801676	1.609438	12	43.83847	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	13	"good"	9.801676	1.791759	12	17.12252	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	9.801676	1.791759	12	18.12252	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	9.801676	1.609438	12	19.12252	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13	"good"	9.801676	1.609438	12	20.12252	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"good"	9.801676	1.609438	12	21.12252	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.801676	1.791759	12	13.03765	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.801676	1.791759	12	14.03765	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.801676	1.609438	12	15.03765	"female"	TRUE	FALSE
3	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.801676	1.609438	12	16.03765	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.801676	1.609438	12	17.03765	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	17.4	"good"	7.237029	0	9	20.10404	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	17.4	"good"	7.237029	0	9	21.10404	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	17.4	"good"	7.237029	0	9	22.10404	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.4	"good"	7.237029	0	9	23.10404	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	17.4	"good"	7.237029	0	9	24.10404	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"fair"	8.093943	0	8	57.48391	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"fair"	8.093943	0	8	58.48391	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"fair"	8.093943	0	8	59.48391	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"fair"	8.093943	0	8	60.48391	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"fair"	8.093943	0	8	61.48391	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	6.817248	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	7.817248	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	8.817248	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	9.817248	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	10.81725	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	3.693361	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	4.693361	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	5.693361	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	6.693361	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	7.693361	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	4.807666	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	5.807666	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	6.807666	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	7.807666	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	8.807666	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	10	35.6961	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	10	36.6961	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	10	37.6961	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	10	38.6961	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	10	39.6961	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	12	26.33539	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	12	27.33539	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	12	28.33539	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	12	29.33539	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.163564	1.791759	12	30.33539	"female"	FALSE	FALSE
2	0	TRUE	5.703783	0	FALSE	13.73189	"good"	8.841771	1.098612	9	46.73785	"female"	FALSE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"good"	8.841771	1.098612	9	47.73785	"female"	FALSE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"good"	8.841771	1.098612	9	48.73785	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	13.73189	"good"	8.841771	1.098612	9	10.32717	"male"	TRUE	FALSE
5	0	TRUE	5.703783	0	FALSE	13.73189	"good"	8.841771	1.098612	9	11.32717	"male"	TRUE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"good"	8.841771	1.098612	9	12.32717	"male"	TRUE	FALSE
6	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	8.841771	1.098612	11	53.96851	"male"	FALSE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	8.841771	1.098612	11	54.96851	"male"	FALSE	FALSE
3	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	8.841771	1.098612	11	55.96851	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	14.49144	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	15.49144	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	16.49144	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"excellent"	9.127282	1.791759	12	44.49829	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.127282	1.791759	12	45.49829	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.127282	1.791759	12	46.49829	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	42.95688	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	43.95688	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	44.95688	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.127282	1.791759	12	12.38604	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.127282	1.791759	12	13.38604	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.127282	1.791759	12	14.38604	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	16.52019	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	17.52019	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	4.3	"excellent"	9.127282	1.791759	12	18.52019	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	8.7	"excellent"	9.127282	1.791759	12	17.7577	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"excellent"	9.127282	1.791759	12	18.7577	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.127282	1.791759	12	19.7577	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.533368	0.6931472	16	52.90349	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.533368	0.6931472	16	53.90349	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.533368	0.6931472	16	54.90349	"male"	FALSE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.533368	0.6931472	16	55.90349	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.533368	0.6931472	16	56.90349	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.533368	0.6931472	12	50.8063	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.533368	0.6931472	12	51.8063	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.533368	0.6931472	12	52.8063	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.533368	0.6931472	12	53.8063	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.533368	0.6931472	12	54.8063	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	12	37.95756	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	12	38.95756	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	12	39.95756	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	12	40.95756	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	12	41.95756	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	16	44.67899	"male"	FALSE	FALSE
15	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	16	45.67899	"male"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	16	46.67899	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	16	47.67899	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	17.4	"excellent"	9.574588	1.386294	16	48.67899	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	12.15332	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	13.15332	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	14.15332	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	15.15332	"female"	TRUE	FALSE
14	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	16.15332	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	5.067762	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	6.067762	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	7.067762	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	8.067761	"male"	TRUE	FALSE
13	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.574588	1.386294	12	9.067761	"male"	TRUE	FALSE
1	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	16	23.72895	"female"	FALSE	FALSE
9	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	16	24.72895	"female"	FALSE	FALSE
1	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	16	25.72895	"female"	FALSE	FALSE
2	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	16	26.72895	"female"	FALSE	FALSE
2	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	16	27.72895	"female"	FALSE	FALSE
2	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	15	55.64956	"female"	FALSE	FALSE
5	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	15	56.64956	"female"	FALSE	FALSE
2	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	15	57.64956	"female"	FALSE	FALSE
2	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	15	58.64956	"female"	FALSE	FALSE
6	0	FALSE	6.198479	0	FALSE	13.73189	"excellent"	9.575813	1.098612	15	59.64956	"female"	FALSE	FALSE
0	0	FALSE	6.198479	0	FALSE	13.73189	"good"	9.575813	1.098612	15	55.15948	"male"	FALSE	FALSE
0	0	FALSE	6.198479	0	FALSE	13.73189	"good"	9.575813	1.098612	15	56.15948	"male"	FALSE	FALSE
0	0	FALSE	6.198479	0	FALSE	13.73189	"good"	9.575813	1.098612	15	57.15948	"male"	FALSE	FALSE
2	0	FALSE	6.198479	0	FALSE	13.73189	"good"	9.575813	1.098612	15	58.15948	"male"	FALSE	FALSE
2	0	FALSE	6.198479	0	FALSE	13.73189	"good"	9.575813	1.098612	15	59.15948	"male"	FALSE	FALSE
6	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	13.87269	"female"	TRUE	FALSE
4	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	14.87269	"female"	TRUE	FALSE
5	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	15.87269	"female"	TRUE	FALSE
1	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	16.87269	"female"	TRUE	FALSE
2	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	17.87269	"female"	TRUE	FALSE
4	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	49.93292	"female"	FALSE	FALSE
4	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	50.93292	"female"	FALSE	FALSE
1	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	51.93292	"female"	FALSE	FALSE
1	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	52.93292	"female"	FALSE	FALSE
2	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	53.93292	"female"	FALSE	FALSE
10	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	54.93224	"male"	FALSE	FALSE
7	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	55.93224	"male"	FALSE	FALSE
5	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	56.93224	"male"	FALSE	FALSE
4	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	57.93224	"male"	FALSE	FALSE
4	0	FALSE	5.662961	0	FALSE	13.73189	"excellent"	9.391296	1.098612	16	58.93224	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	7.958932	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	8.958932	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	9.958932	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	27.72895	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	28.72895	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	29.72895	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	2.38193	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	3.38193	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	4.38193	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	4.599589	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	5.599589	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	6.599589	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	33.67009	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	34.67009	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	8.88306	1.609438	12	35.67009	"male"	FALSE	FALSE
3	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	3.496235	"male"	TRUE	FALSE
6	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	4.496235	"male"	TRUE	FALSE
4	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	5.496235	"male"	TRUE	FALSE
2	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	12	6.496235	"male"	TRUE	FALSE
7	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	12	7.496235	"male"	TRUE	FALSE
6	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	27.74812	"female"	FALSE	FALSE
1	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	28.74812	"female"	FALSE	FALSE
0	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	29.74812	"female"	FALSE	FALSE
2	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	12	30.74812	"female"	FALSE	FALSE
0	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	12	31.74812	"female"	FALSE	FALSE
0	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	14	32.05202	"male"	FALSE	FALSE
5	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	14	33.05202	"male"	FALSE	FALSE
3	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	14	34.05202	"male"	FALSE	FALSE
0	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	14	35.05202	"male"	FALSE	FALSE
1	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	14	36.05202	"male"	FALSE	FALSE
8	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	0.5804244	"female"	TRUE	FALSE
7	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	1.580424	"female"	TRUE	FALSE
1	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.386294	12	2.580424	"female"	TRUE	FALSE
3	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	12	3.580424	"female"	TRUE	FALSE
2	3.931826	FALSE	6.395262	7.088409	FALSE	13.73189	"excellent"	9.038481	1.609438	12	4.580424	"female"	TRUE	FALSE
1	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"excellent"	9.550555	1.098612	12	28.63244	"female"	FALSE	FALSE
4	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"excellent"	9.550555	1.098612	12	29.63244	"female"	FALSE	FALSE
1	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"excellent"	9.550555	1.098612	12	30.63244	"female"	FALSE	FALSE
5	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"good"	9.550555	1.098612	12	8.531143	"female"	TRUE	FALSE
1	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"good"	9.550555	1.098612	12	9.531143	"female"	TRUE	FALSE
2	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"good"	9.550555	1.098612	12	10.53114	"female"	TRUE	FALSE
13	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"fair"	9.550555	1.098612	12	8.531143	"male"	TRUE	FALSE
12	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"fair"	9.550555	1.098612	12	9.531143	"male"	TRUE	FALSE
13	3.931826	FALSE	6.576469	7.269617	FALSE	13.73189	"fair"	9.550555	1.098612	12	10.53114	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	8.303902	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	9.303902	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	10.3039	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	38.2642	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	39.2642	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	40.2642	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	15.65777	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	16.65777	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	17.65777	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	42.66393	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	43.66393	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.255023	1.386294	12	44.66393	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.973975	0.6931472	14	27.98905	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.973975	1.098612	14	28.98905	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.973975	1.098612	14	29.98905	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.973975	0.6931472	12	24.09309	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.973975	1.098612	12	25.09309	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.973975	1.098612	12	26.09309	"female"	FALSE	FALSE
0	0	TRUE	4.532599	0	FALSE	13	"excellent"	8.82331	0	14	59.02533	"female"	FALSE	FALSE
4	0	TRUE	4.532599	0	FALSE	13	"excellent"	8.82331	0	14	60.02533	"female"	FALSE	FALSE
0	0	TRUE	4.532599	0	FALSE	13	"excellent"	8.82331	0	14	61.02533	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	0.6931472	12	21.49213	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	0.6931472	12	22.49213	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	1.098612	12	23.49213	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	1.386294	12	24.49213	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	1.386294	12	25.49213	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	0.6931472	13	21.79055	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	0.6931472	13	22.79055	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	1.098612	13	23.79055	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	1.386294	13	24.79055	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	8.696783	1.386294	13	25.79055	"female"	FALSE	FALSE
4	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.386294	12	2.302532	"male"	TRUE	FALSE
4	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	3.302532	"male"	TRUE	FALSE
4	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	4.302533	"male"	TRUE	FALSE
1	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	5.302533	"male"	TRUE	FALSE
3	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	6.302533	"male"	TRUE	FALSE
3	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.386294	12	28.26831	"female"	FALSE	FALSE
12	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	29.26831	"female"	FALSE	FALSE
14	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	30.26831	"female"	FALSE	FALSE
5	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	31.26831	"female"	FALSE	FALSE
10	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	32.26831	"female"	FALSE	FALSE
4	0	FALSE	5.777652	0	FALSE	13.73189	"fair"	8.984216	1.386294	12	5.185489	"male"	TRUE	FALSE
4	0	FALSE	5.777652	0	FALSE	13.73189	"fair"	8.984216	1.609438	12	6.185489	"male"	TRUE	FALSE
4	0	FALSE	5.777652	0	FALSE	13.73189	"fair"	8.984216	1.609438	12	7.185489	"male"	TRUE	FALSE
3	0	FALSE	5.777652	0	FALSE	13.73189	"fair"	8.984216	1.609438	12	8.18549	"male"	TRUE	FALSE
3	0	FALSE	5.777652	0	FALSE	13.73189	"fair"	8.984216	1.609438	12	9.18549	"male"	TRUE	FALSE
3	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.386294	12	28.87337	"male"	FALSE	FALSE
2	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	29.87337	"male"	FALSE	FALSE
1	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	30.87337	"male"	FALSE	FALSE
5	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	31.87337	"male"	FALSE	FALSE
1	0	FALSE	5.777652	0	FALSE	13.73189	"good"	8.984216	1.609438	12	32.87337	"male"	FALSE	FALSE
19	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.824679	0	16	36.56947	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.824679	0	16	37.56947	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.824679	0	16	38.56947	"female"	FALSE	FALSE
15	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.996199	0	12	43.94524	"female"	FALSE	FALSE
10	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.996199	0	12	44.94524	"female"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.996199	0	12	45.94524	"female"	FALSE	FALSE
3	0	TRUE	5.703783	0	FALSE	8.7	"good"	8.9155	0.6931472	12	52.89528	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	8.7	"good"	8.9155	0.6931472	12	53.89528	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	8.7	"good"	8.9155	0.6931472	12	54.89528	"female"	FALSE	FALSE
1	0	TRUE	5.703783	0	FALSE	8.7	"good"	8.9155	0.6931472	12	55.89528	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	8.7	"good"	8.9155	0.6931472	12	56.89528	"female"	FALSE	FALSE
5	0	TRUE	5.703783	0	TRUE	17.4	"good"	8.9155	0.6931472	10	52.94182	"male"	FALSE	FALSE
2	0	TRUE	5.703783	0	TRUE	17.4	"good"	8.9155	0.6931472	10	53.94182	"male"	FALSE	FALSE
0	0	TRUE	5.703783	0	TRUE	17.4	"good"	8.9155	0.6931472	10	54.94182	"male"	FALSE	FALSE
3	0	TRUE	5.703783	0	TRUE	17.4	"good"	8.9155	0.6931472	10	55.94182	"male"	FALSE	FALSE
4	0	TRUE	5.703783	0	TRUE	17.4	"good"	8.9155	0.6931472	10	56.94182	"male"	FALSE	FALSE
0	0	TRUE	6.272877	0	FALSE	0	"excellent"	9.286267	1.386294	12	27.84942	"male"	FALSE	FALSE
1	0	TRUE	6.272877	0	FALSE	0	"excellent"	9.286267	1.386294	12	28.84942	"male"	FALSE	FALSE
3	0	TRUE	6.272877	0	FALSE	0	"excellent"	9.286267	1.386294	12	29.84942	"male"	FALSE	FALSE
1	0	TRUE	6.272877	0	FALSE	13.73189	"excellent"	9.286267	1.386294	12	6.390144	"female"	TRUE	FALSE
0	0	TRUE	6.272877	0	FALSE	13.73189	"excellent"	9.286267	1.386294	12	7.390144	"female"	TRUE	FALSE
4	0	TRUE	6.272877	0	FALSE	13.73189	"excellent"	9.286267	1.386294	12	8.390143	"female"	TRUE	FALSE
4	0	TRUE	6.272877	0	FALSE	13	"excellent"	9.286267	1.386294	12	24.34223	"female"	FALSE	FALSE
2	0	TRUE	6.272877	0	FALSE	13	"excellent"	9.286267	1.386294	12	25.34223	"female"	FALSE	FALSE
6	0	TRUE	6.272877	0	FALSE	13	"excellent"	9.286267	1.386294	12	26.34223	"female"	FALSE	FALSE
1	0	TRUE	6.272877	0	FALSE	13.73189	"excellent"	9.286267	1.386294	12	3.863107	"male"	TRUE	FALSE
2	0	TRUE	6.272877	0	FALSE	13.73189	"excellent"	9.286267	1.386294	12	4.863108	"male"	TRUE	FALSE
5	0	TRUE	6.272877	0	FALSE	13.73189	"excellent"	9.286267	1.386294	12	5.863108	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.163564	1.386294	13	4.889802	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.163564	1.386294	13	26.49144	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.163564	1.386294	13	6.896646	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.163564	1.386294	13	27.436	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.879411	1.386294	14	38.09172	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.879411	1.386294	14	39.09172	"female"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.879411	1.386294	14	40.09172	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.879411	1.386294	15	38.18207	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.879411	1.386294	15	39.18207	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.879411	1.386294	15	40.18207	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	TRUE	0	"excellent"	9.879411	1.386294	14	16.64066	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	0	"excellent"	9.879411	1.386294	14	17.64066	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	0	"excellent"	9.879411	1.386294	14	18.64066	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.879411	1.386294	14	17.66735	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.879411	1.386294	14	18.66735	"male"	FALSE	FALSE
14	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.879411	1.386294	14	19.66735	"male"	FALSE	FALSE
0	0	TRUE	4.727388	0	FALSE	0	"excellent"	9.83351	1.098612	8	38.52703	"male"	FALSE	FALSE
0	0	TRUE	4.727388	0	FALSE	0	"excellent"	9.83351	1.098612	8	39.52703	"male"	FALSE	FALSE
1	0	TRUE	4.727388	0	FALSE	0	"excellent"	9.83351	1.098612	8	40.52703	"male"	FALSE	FALSE
2	0	TRUE	4.727388	0	FALSE	0	"excellent"	9.83351	1.098612	8	41.52703	"male"	FALSE	FALSE
2	0	TRUE	4.727388	0	FALSE	0	"excellent"	9.83351	1.098612	8	42.52703	"male"	FALSE	FALSE
2	0	TRUE	4.727388	0	FALSE	13	"excellent"	9.83351	1.098612	11	38.16564	"female"	FALSE	FALSE
0	0	TRUE	4.727388	0	FALSE	13	"excellent"	9.83351	1.098612	11	39.16564	"female"	FALSE	FALSE
0	0	TRUE	4.727388	0	FALSE	13	"excellent"	9.83351	1.098612	11	40.16564	"female"	FALSE	FALSE
7	0	TRUE	4.727388	0	FALSE	13	"excellent"	9.83351	1.098612	11	41.16564	"female"	FALSE	FALSE
3	0	TRUE	4.727388	0	FALSE	13	"excellent"	9.83351	1.098612	11	42.16564	"female"	FALSE	FALSE
3	0	TRUE	4.727388	0	FALSE	8.7	"excellent"	9.83351	1.098612	11	16.5421	"female"	TRUE	FALSE
3	0	TRUE	4.727388	0	FALSE	8.7	"excellent"	9.83351	1.098612	11	17.5421	"female"	TRUE	FALSE
3	0	TRUE	4.727388	0	FALSE	8.7	"excellent"	9.83351	1.098612	11	18.5421	"female"	FALSE	FALSE
0	0	TRUE	4.727388	0	FALSE	8.7	"excellent"	9.83351	1.098612	11	19.5421	"female"	FALSE	FALSE
0	0	TRUE	4.727388	0	FALSE	8.7	"excellent"	9.83351	1.098612	11	20.5421	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.185654	1.098612	10	15.34292	"female"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.185654	1.098612	10	16.34292	"female"	TRUE	FALSE
4	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.185654	1.098612	10	17.34292	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	8.185654	1.098612	10	55.24162	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	8.185654	1.098612	10	56.24162	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	8.185654	1.098612	10	57.24162	"female"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"poor"	8.185654	1.098612	9	58.2204	"male"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"poor"	8.185654	1.098612	9	59.2204	"male"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"poor"	8.185654	1.098612	9	60.2204	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"good"	0.6931472	0	9	21.65366	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	0.6931472	0	9	22.65366	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"good"	0.6931472	0.6931472	9	23.65366	"male"	FALSE	FALSE
0	3.258096	FALSE	5.828946	7.21524	FALSE	13.73189	"good"	7.070876	1.791759	5	8.539356	"female"	TRUE	TRUE
1	3.258096	FALSE	5.828946	7.21524	FALSE	13.73189	"good"	7.070876	1.791759	5	9.539356	"female"	TRUE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	4.3	"good"	7.070876	1.791759	5	16.41615	"female"	TRUE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	4.3	"good"	7.070876	1.791759	5	17.41615	"female"	TRUE	TRUE
3	3.258096	FALSE	5.828946	7.21524	FALSE	4.3	"good"	7.070876	1.791759	5	17.52225	"female"	TRUE	TRUE
2	3.258096	FALSE	5.828946	7.21524	FALSE	4.3	"good"	7.070876	1.791759	5	18.52225	"female"	FALSE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	4.3	"good"	7.070876	0	5	19.52225	"female"	FALSE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	4.3	"good"	7.070876	0	5	20.52225	"female"	FALSE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	13.73189	"good"	7.070876	1.791759	5	1.850787	"male"	TRUE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	13.73189	"good"	7.070876	1.791759	5	2.850787	"male"	TRUE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	8.7	"fair"	7.070876	1.791759	5	45.83984	"female"	FALSE	TRUE
5	3.258096	FALSE	5.828946	7.21524	FALSE	8.7	"fair"	7.070876	1.791759	5	46.83984	"female"	FALSE	TRUE
2	0	TRUE	5.703783	0	FALSE	13.73189	"good"	9.69917	0.6931472	12	27.41684	"female"	FALSE	FALSE
6	0	TRUE	5.703783	0	FALSE	13.73189	"good"	9.69917	0.6931472	12	28.41684	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	13.73189	"good"	9.69917	0.6931472	12	29.41684	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.69917	0.6931472	12	9.434634	"male"	TRUE	FALSE
0	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.69917	0.6931472	12	10.43463	"male"	TRUE	FALSE
2	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.69917	0.6931472	12	11.43463	"male"	TRUE	FALSE
35	0	TRUE	5.986452	0	TRUE	13.73189	"good"	9.543511	0.6931472	12	51.66325	"female"	FALSE	FALSE
20	0	TRUE	5.986452	0	TRUE	13.73189	"good"	9.543511	0.6931472	12	52.66325	"female"	FALSE	FALSE
16	0	TRUE	5.986452	0	TRUE	13.73189	"good"	9.543511	0.6931472	12	53.66325	"female"	FALSE	FALSE
9	0	TRUE	5.986452	0	TRUE	13.73189	"good"	9.543511	0.6931472	12	54.66325	"female"	FALSE	FALSE
16	0	TRUE	5.986452	0	TRUE	13.73189	"good"	9.543511	0.6931472	12	55.66325	"female"	FALSE	FALSE
22	0	TRUE	5.986452	0	FALSE	13.73189	"good"	9.543511	0.6931472	16	54.70226	"male"	FALSE	FALSE
9	0	TRUE	5.986452	0	FALSE	13.73189	"good"	9.543511	0.6931472	16	55.70226	"male"	FALSE	FALSE
13	0	TRUE	5.986452	0	FALSE	13.73189	"good"	9.543511	0.6931472	16	56.70226	"male"	FALSE	FALSE
8	0	TRUE	5.986452	0	FALSE	13.73189	"good"	9.543511	0.6931472	16	57.70226	"male"	FALSE	FALSE
5	0	TRUE	5.986452	0	FALSE	13.73189	"good"	9.543511	0.6931472	16	58.70226	"male"	FALSE	FALSE
1	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	28.21082	"female"	FALSE	FALSE
1	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	29.21082	"female"	FALSE	FALSE
1	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	30.21082	"female"	FALSE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	8.416153	"female"	TRUE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	9.416153	"female"	TRUE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	10.41615	"female"	TRUE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	9.46475	"female"	TRUE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	10.46475	"female"	TRUE	FALSE
3	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	10	11.46475	"female"	TRUE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	12	32.282	"male"	FALSE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	12	33.282	"male"	FALSE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"good"	9.163564	1.609438	12	34.282	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	8.427105	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	9.427105	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.94591	11	10.4271	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	12	32.10678	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	12	33.10678	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.94591	12	34.10678	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	5.177276	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	6.177276	"male"	TRUE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.94591	11	7.177276	"male"	TRUE	FALSE
10	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	1.544148	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	2.544148	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.94591	11	3.544148	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.417506	1.791759	11	29.73032	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.417506	1.791759	11	30.73032	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.417506	1.94591	11	31.73032	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	11.55099	"female"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.791759	11	12.55099	"female"	TRUE	FALSE
10	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.417506	1.94591	11	13.55099	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.31729	0	12	21.77413	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.31729	0	12	22.77413	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.31729	0	12	23.77413	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.31729	0	12	24.77413	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.31729	0	12	25.77413	"male"	FALSE	FALSE
2	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	47.22792	"female"	FALSE	FALSE
3	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	48.22792	"female"	FALSE	FALSE
1	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	49.22792	"female"	FALSE	FALSE
1	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	50.22792	"female"	FALSE	FALSE
4	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	51.22792	"female"	FALSE	FALSE
15	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	53.3306	"male"	FALSE	FALSE
9	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	54.3306	"male"	FALSE	FALSE
10	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	55.3306	"male"	FALSE	FALSE
2	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	56.3306	"male"	FALSE	FALSE
4	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	8	57.3306	"male"	FALSE	FALSE
4	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	12.32507	18.12457	"male"	FALSE	FALSE
2	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	12.32507	19.12457	"male"	FALSE	FALSE
0	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	12.32507	20.12457	"male"	FALSE	FALSE
3	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	12.32507	21.12457	"male"	FALSE	FALSE
0	0	TRUE	6.684612	0	FALSE	13.73189	"good"	9.077465	1.098612	12.32507	22.12457	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"poor"	8.953414	0.6931472	7	46.83094	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"poor"	8.953414	0.6931472	7	47.83094	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"poor"	8.953414	0.6931472	7	48.83094	"female"	FALSE	FALSE
9	3.258096	FALSE	6.907755	8.294049	TRUE	30.4	"poor"	8.953414	0.6931472	8	52.93634	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	30.4	"poor"	8.953414	0.6931472	8	53.93634	"male"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	TRUE	30.4	"poor"	8.953414	0.6931472	8	54.93634	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	10.48323	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	11.48323	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	12.48323	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	13.48323	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	14.48323	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13	"excellent"	9.31757	1.609438	9	31.58932	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"excellent"	9.31757	1.609438	9	32.58932	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"excellent"	9.31757	1.609438	9	33.58932	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"excellent"	9.31757	1.609438	9	34.58932	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"excellent"	9.31757	1.609438	9	35.58932	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	9.31757	1.609438	9	12.10678	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.31757	1.609438	9	13.10678	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.31757	1.609438	9	14.10678	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.31757	1.609438	9	15.10678	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.31757	1.609438	9	16.10678	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	9.407255	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	10.40726	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	11.40726	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	12.40726	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.31757	1.609438	9	13.40726	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	8.7	"excellent"	9.31757	1.609438	9	27.19781	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"excellent"	9.31757	1.609438	9	28.19781	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"excellent"	9.31757	1.609438	9	29.19781	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.31757	1.609438	9	30.19781	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	8.7	"excellent"	9.31757	1.609438	9	31.19781	"female"	FALSE	FALSE
5	0	FALSE	4.543295	0	TRUE	34.8	"good"	8.726003	0	12	59.03628	"female"	FALSE	FALSE
5	0	FALSE	4.543295	0	TRUE	34.8	"good"	8.726003	0	12	60.03628	"female"	FALSE	FALSE
8	0	FALSE	4.543295	0	TRUE	34.8	"good"	8.726003	0	12	61.03628	"female"	FALSE	FALSE
7	0	FALSE	4.543295	0	TRUE	34.8	"good"	8.726003	0	12	62.03628	"female"	FALSE	FALSE
6	0	FALSE	4.543295	0	TRUE	34.8	"good"	8.726003	0	12	63.03628	"female"	FALSE	FALSE
0	0	TRUE	6.826545	0	FALSE	13.73189	"good"	9.081026	0	8	46.41752	"female"	FALSE	FALSE
3	0	TRUE	6.826545	0	FALSE	13.73189	"good"	9.081026	0	8	47.41752	"female"	FALSE	FALSE
5	0	TRUE	6.826545	0	FALSE	13.73189	"good"	9.081026	0	8	48.41752	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	16	58.87748	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	16	59.87748	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	16	60.87748	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	16	61.87748	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	16	62.87748	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	12	17.79055	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	12	18.79055	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	12	19.79055	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	12	20.79055	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.533723	1.098612	12	21.79055	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	17.4	"good"	9.533723	1.098612	12	53.80151	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.4	"good"	9.533723	1.098612	12	54.80151	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.4	"good"	9.533723	1.098612	12	55.80151	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"good"	9.533723	1.098612	12	56.80151	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.4	"good"	9.533723	1.098612	12	57.80151	"female"	FALSE	FALSE
2	3.931826	FALSE	6.855409	7.548556	FALSE	8.7	"excellent"	9.383397	0.6931472	9	32.31485	"male"	FALSE	FALSE
0	3.931826	FALSE	6.855409	7.548556	FALSE	8.7	"excellent"	9.383397	0.6931472	9	33.31485	"male"	FALSE	FALSE
1	3.931826	FALSE	6.855409	7.548556	FALSE	8.7	"excellent"	9.383397	0.6931472	9	34.31485	"male"	FALSE	FALSE
1	3.931826	FALSE	6.855409	7.548556	FALSE	8.7	"excellent"	9.383397	0.6931472	9	35.31485	"male"	FALSE	FALSE
0	3.931826	FALSE	6.855409	7.548556	FALSE	8.7	"excellent"	9.383397	0.6931472	9	36.31485	"male"	FALSE	FALSE
8	3.931826	FALSE	6.855409	7.548556	FALSE	21.7	"excellent"	9.383397	0.6931472	15	28.4627	"female"	FALSE	FALSE
1	3.931826	FALSE	6.855409	7.548556	FALSE	21.7	"excellent"	9.383397	0.6931472	15	29.4627	"female"	FALSE	FALSE
5	3.931826	FALSE	6.855409	7.548556	FALSE	21.7	"excellent"	9.383397	0.6931472	15	30.4627	"female"	FALSE	FALSE
3	3.931826	FALSE	6.855409	7.548556	FALSE	21.7	"excellent"	9.383397	0.6931472	15	31.4627	"female"	FALSE	FALSE
7	3.931826	FALSE	6.855409	7.548556	FALSE	21.7	"excellent"	9.383397	0.6931472	15	32.4627	"female"	FALSE	FALSE
0	3.258096	FALSE	0	0	FALSE	17.4	"excellent"	9.163564	1.791759	14	32.39699	"male"	FALSE	FALSE
0	3.258096	FALSE	0	0	FALSE	17.4	"excellent"	9.163564	1.791759	14	33.39699	"male"	FALSE	FALSE
0	3.258096	FALSE	0	0	FALSE	17.4	"excellent"	9.163564	1.791759	14	34.39699	"male"	FALSE	FALSE
0	3.258096	FALSE	0	0	FALSE	17.4	"excellent"	9.163564	1.791759	14	35.39699	"male"	FALSE	FALSE
1	3.258096	FALSE	0	0	FALSE	17.4	"excellent"	9.163564	1.791759	14	36.39699	"male"	FALSE	FALSE
5	3.258096	FALSE	0	0	FALSE	30.4	"excellent"	9.163564	1.791759	14	32.72553	"female"	FALSE	FALSE
2	3.258096	FALSE	0	0	FALSE	30.4	"excellent"	9.163564	1.791759	14	33.72553	"female"	FALSE	FALSE
2	3.258096	FALSE	0	0	FALSE	30.4	"excellent"	9.163564	1.791759	14	34.72553	"female"	FALSE	FALSE
0	3.258096	FALSE	0	0	FALSE	30.4	"excellent"	9.163564	1.791759	14	35.72553	"female"	FALSE	FALSE
1	3.258096	FALSE	0	0	FALSE	30.4	"excellent"	9.163564	1.791759	14	36.72553	"female"	FALSE	FALSE
0	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	8.065708	"male"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	9.065708	"male"	TRUE	FALSE
2	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	10.06571	"male"	TRUE	FALSE
3	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	11.06571	"male"	TRUE	FALSE
3	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	12.06571	"male"	TRUE	FALSE
0	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	6.316222	"male"	TRUE	FALSE
2	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	7.316222	"male"	TRUE	FALSE
0	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	8.316222	"male"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	9.316222	"male"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	10.31622	"male"	TRUE	FALSE
3	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	8.065708	"male"	TRUE	FALSE
3	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	9.065708	"male"	TRUE	FALSE
0	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	10.06571	"male"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	11.06571	"male"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	12.06571	"male"	TRUE	FALSE
2	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	9.204655	"female"	TRUE	FALSE
2	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	10.20465	"female"	TRUE	FALSE
0	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	11.20465	"female"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	12.20465	"female"	TRUE	FALSE
5	3.258096	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.791759	14	13.20465	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	9.096578	0.6931472	12	43.38124	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	9.096578	0.6931472	12	44.38124	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"good"	9.096578	0.6931472	12	45.38124	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.096578	0.6931472	12	42.28337	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.096578	0.6931472	12	43.28337	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.096578	0.6931472	12	44.28337	"female"	FALSE	FALSE
4	3.258096	FALSE	5.926926	7.313221	FALSE	13	"good"	8.48525	0	9	46.5243	"female"	FALSE	FALSE
0	3.258096	FALSE	5.926926	7.313221	FALSE	13	"good"	8.48525	0	9	47.5243	"female"	FALSE	FALSE
0	3.258096	FALSE	5.926926	7.313221	FALSE	13	"good"	8.48525	0	9	48.5243	"female"	FALSE	FALSE
0	3.258096	FALSE	5.926926	7.313221	FALSE	13	"good"	8.48525	0	9	49.5243	"female"	FALSE	FALSE
0	3.258096	FALSE	5.926926	7.313221	FALSE	13	"good"	8.48525	0	9	50.5243	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.118645	1.386294	12	38.24504	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.118645	1.386294	12	39.24504	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.118645	1.386294	12	40.24504	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	10	35.38124	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	10	36.38124	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	10	37.38124	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	10	14.94045	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	10	15.94045	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	10	16.94045	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	12	18.52156	"female"	FALSE	FALSE
8	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	12	19.52156	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.118645	1.386294	12	20.52156	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.244047	1.609438	12	52.85695	"male"	FALSE	FALSE
12	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.244047	1.609438	12	53.85695	"male"	FALSE	FALSE
18	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.244047	1.609438	12	54.85695	"male"	FALSE	FALSE
8	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12	53.33333	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12	54.33333	"female"	FALSE	FALSE
13	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12	55.33333	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.244047	1.609438	12	12.38877	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.244047	1.609438	12	13.38877	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.244047	1.609438	12	14.38877	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12	16.52841	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12	17.52841	"female"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12	18.52841	"female"	FALSE	FALSE
6	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12.32507	18.2423	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12.32507	19.2423	"male"	FALSE	FALSE
8	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.244047	1.609438	12.32507	20.2423	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.163564	0	12	21.45927	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.163564	0	12	22.45927	"female"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.163564	0	12	23.45927	"female"	FALSE	FALSE
1	3.258096	FALSE	6.683361	8.069655	FALSE	30.4	"good"	8.879094	1.098612	10	53.90007	"male"	FALSE	FALSE
1	3.258096	FALSE	6.683361	8.069655	FALSE	30.4	"good"	8.879094	1.098612	10	54.90007	"male"	FALSE	FALSE
2	3.258096	FALSE	6.683361	8.069655	FALSE	30.4	"good"	8.879094	1.098612	10	55.90007	"male"	FALSE	FALSE
12	3.258096	FALSE	6.683361	8.069655	FALSE	30.4	"good"	8.879094	1.098612	10	56.90007	"male"	FALSE	FALSE
3	3.258096	FALSE	6.683361	8.069655	FALSE	30.4	"good"	8.879094	1.098612	10	57.90007	"male"	FALSE	FALSE
4	3.258096	FALSE	6.683361	8.069655	FALSE	13.73189	"good"	8.879094	1.098612	12	13.78782	"male"	TRUE	FALSE
2	3.258096	FALSE	6.683361	8.069655	FALSE	13.73189	"good"	8.879094	1.098612	12	14.78782	"male"	TRUE	FALSE
3	3.258096	FALSE	6.683361	8.069655	FALSE	13.73189	"good"	8.879094	1.098612	12	15.78782	"male"	TRUE	FALSE
2	3.258096	FALSE	6.683361	8.069655	FALSE	13.73189	"good"	8.879094	1.098612	12	16.78782	"male"	TRUE	FALSE
2	3.258096	FALSE	6.683361	8.069655	FALSE	13.73189	"good"	8.879094	1.098612	12	17.78782	"male"	TRUE	FALSE
2	3.258096	FALSE	6.683361	8.069655	TRUE	30.4	"good"	8.879094	1.098612	12	34.96235	"female"	FALSE	FALSE
1	3.258096	FALSE	6.683361	8.069655	TRUE	30.4	"good"	8.879094	1.098612	12	35.96235	"female"	FALSE	FALSE
2	3.258096	FALSE	6.683361	8.069655	TRUE	30.4	"good"	8.879094	1.098612	12	36.96235	"female"	FALSE	FALSE
3	3.258096	FALSE	6.683361	8.069655	TRUE	30.4	"good"	8.879094	1.098612	12	37.96235	"female"	FALSE	FALSE
3	3.258096	FALSE	6.683361	8.069655	TRUE	30.4	"good"	8.879094	1.098612	12	38.96235	"female"	FALSE	FALSE
0	3.258096	FALSE	5.556828	6.943122	FALSE	4.3	"good"	8.118642	0	12	19.83573	"male"	FALSE	FALSE
0	3.258096	FALSE	5.556828	6.943122	FALSE	4.3	"good"	8.118642	0	12	20.83573	"male"	FALSE	FALSE
0	3.258096	FALSE	5.556828	6.943122	FALSE	4.3	"good"	8.118642	0	12	21.83573	"male"	FALSE	FALSE
0	3.258096	FALSE	5.556828	6.943122	FALSE	4.3	"good"	8.118642	0	12	22.83573	"male"	FALSE	FALSE
0	3.258096	FALSE	5.556828	6.943122	FALSE	4.3	"good"	8.118642	0	12	23.83573	"male"	FALSE	FALSE
7	0	FALSE	6.139884	0	FALSE	13.73189	"excellent"	9.376721	1.098612	13	20.53388	"male"	FALSE	FALSE
6	0	FALSE	6.139884	0	FALSE	13.73189	"excellent"	9.376721	1.098612	13	21.53388	"male"	FALSE	FALSE
12	0	FALSE	6.139884	0	FALSE	13.73189	"excellent"	9.376721	1.098612	13	22.53388	"male"	FALSE	FALSE
5	0	FALSE	6.139884	0	FALSE	13.73189	"good"	9.376721	1.098612	12	48.39151	"female"	FALSE	FALSE
10	0	FALSE	6.139884	0	FALSE	13.73189	"good"	9.376721	1.098612	12	49.39151	"female"	FALSE	FALSE
5	0	FALSE	6.139884	0	FALSE	13.73189	"good"	9.376721	1.098612	12	50.39151	"female"	FALSE	FALSE
3	0	FALSE	6.139884	0	FALSE	13.73189	"excellent"	9.376721	1.098612	12	13.55236	"male"	TRUE	FALSE
7	0	FALSE	6.139884	0	FALSE	13.73189	"excellent"	9.376721	1.098612	12	14.55236	"male"	TRUE	FALSE
0	0	FALSE	6.139884	0	FALSE	13.73189	"excellent"	9.376721	1.098612	12	15.55236	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.035308	1.098612	13	6.31896	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.035308	1.098612	13	7.31896	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.035308	1.386294	13	8.318959	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.035308	1.098612	12	30.34634	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.035308	1.098612	12	31.34634	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.035308	1.386294	12	32.34634	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.035308	1.098612	13	28.46817	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.035308	1.098612	13	29.46817	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.035308	1.386294	13	30.46817	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.424891	1.098612	12	54.0616	"male"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.424891	1.098612	12	55.0616	"male"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.424891	1.098612	12	56.0616	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.424891	1.098612	16	15.93155	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.424891	1.098612	16	16.93155	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.424891	1.098612	16	17.93155	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.424891	1.098612	16	50.22313	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.424891	1.098612	16	51.22313	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.424891	1.098612	16	52.22313	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	10.15915	0.6931472	19	54.11088	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	10.15915	0.6931472	19	55.11088	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	10.15915	0.6931472	19	56.11088	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	10.15915	0.6931472	13	52.73375	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	10.15915	0.6931472	13	53.73375	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	10.15915	0.6931472	13	54.73375	"female"	FALSE	FALSE
7	0	TRUE	5.313206	0	FALSE	13	"excellent"	8.149578	0	12	51.72895	"female"	FALSE	FALSE
9	0	TRUE	5.313206	0	FALSE	13	"excellent"	8.149578	0	12	52.72895	"female"	FALSE	FALSE
5	0	TRUE	5.313206	0	FALSE	13	"excellent"	8.149578	0	12	53.72895	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"fair"	9.167304	1.386294	9	28.52019	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"fair"	9.167304	1.386294	9	29.52019	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"fair"	9.167304	1.386294	9	30.52019	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	30.4	"good"	9.167304	1.386294	11	32.32854	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	30.4	"good"	9.167304	1.386294	11	33.32854	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	30.4	"good"	9.167304	1.386294	11	34.32854	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.167304	1.386294	9	11.16222	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.167304	1.386294	9	12.16222	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.167304	1.386294	9	13.16222	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.167304	1.386294	9	12.92539	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.167304	1.386294	9	13.92539	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.167304	1.386294	9	14.92539	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	45.38809	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	46.38809	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	47.38809	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	48.38809	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	49.38809	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.364761	1.098612	11	46.72416	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.364761	1.098612	11	47.72416	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.364761	1.098612	11	48.72416	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.364761	1.098612	11	49.72416	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.364761	1.098612	11	50.72416	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	18.41752	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	19.41752	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	20.41752	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	21.41752	"male"	FALSE	FALSE
11	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.364761	1.098612	11	22.41752	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.787733	1.386294	16	41.86721	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.787733	1.386294	16	42.86721	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.787733	1.386294	16	43.86721	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.787733	1.386294	16	44.86721	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.787733	1.386294	16	45.86721	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.787733	1.386294	15	17.46201	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.787733	1.386294	15	18.46201	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.787733	1.386294	15	19.46201	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.787733	1.386294	15	20.46201	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.787733	1.386294	15	21.46201	"male"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.787733	1.386294	15	9.459274	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.787733	1.386294	15	10.45927	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.787733	1.386294	15	11.45927	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.787733	1.386294	15	12.45927	"female"	TRUE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.787733	1.386294	15	13.45927	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.787733	1.386294	15	39.07187	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.787733	1.386294	15	40.07187	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.787733	1.386294	15	41.07187	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.787733	1.386294	15	42.07187	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.787733	1.386294	15	43.07187	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.387718	1.386294	12	4.073922	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.387718	1.386294	12	5.073922	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.387718	1.386294	12	6.073922	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.387718	1.386294	12	7.073922	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.387718	1.386294	12	8.073922	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.387718	1.386294	11	29.62628	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.387718	1.386294	11	30.62628	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.387718	1.386294	11	31.62628	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.387718	1.386294	11	32.62628	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.387718	1.386294	11	33.62628	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.387718	1.386294	12	29.02943	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.387718	1.386294	12	30.02943	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.387718	1.386294	12	31.02943	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.387718	1.386294	12	32.02943	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.387718	1.386294	12	33.02943	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.387718	1.386294	12	8.657084	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.387718	1.386294	12	9.657084	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.387718	1.386294	12	10.65708	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.387718	1.386294	12	11.65708	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.387718	1.386294	12	12.65708	"female"	TRUE	FALSE
2	3.258096	FALSE	6.519147	7.905442	FALSE	8.7	"excellent"	8.873115	1.098612	12	35.90691	"male"	FALSE	FALSE
3	3.258096	FALSE	6.519147	7.905442	FALSE	8.7	"excellent"	8.873115	1.098612	12	36.90691	"male"	FALSE	FALSE
2	3.258096	FALSE	6.519147	7.905442	FALSE	8.7	"excellent"	8.873115	1.098612	12	37.90691	"male"	FALSE	FALSE
5	3.258096	FALSE	6.519147	7.905442	FALSE	8.7	"excellent"	8.873115	1.098612	12	38.90691	"male"	FALSE	FALSE
5	3.258096	FALSE	6.519147	7.905442	FALSE	8.7	"excellent"	8.873115	1.098612	12	39.90691	"male"	FALSE	FALSE
6	3.258096	FALSE	6.519147	7.905442	FALSE	13.73189	"excellent"	8.873115	1.098612	7	0.6680356	"male"	TRUE	FALSE
1	3.258096	FALSE	6.519147	7.905442	FALSE	13.73189	"excellent"	8.873115	1.098612	7	1.668036	"male"	TRUE	FALSE
1	3.258096	FALSE	6.519147	7.905442	FALSE	13.73189	"excellent"	8.873115	1.098612	7	2.668036	"male"	TRUE	FALSE
0	3.258096	FALSE	6.519147	7.905442	FALSE	13.73189	"excellent"	8.873115	1.098612	7	3.668036	"male"	TRUE	FALSE
2	3.258096	FALSE	6.519147	7.905442	FALSE	13.73189	"excellent"	8.873115	1.098612	7	4.668036	"male"	TRUE	FALSE
0	3.258096	FALSE	6.519147	7.905442	FALSE	17.4	"excellent"	8.873115	1.098612	7	36.23819	"female"	FALSE	FALSE
1	3.258096	FALSE	6.519147	7.905442	FALSE	17.4	"excellent"	8.873115	1.098612	7	37.23819	"female"	FALSE	FALSE
1	3.258096	FALSE	6.519147	7.905442	FALSE	17.4	"excellent"	8.873115	1.098612	7	38.23819	"female"	FALSE	FALSE
3	3.258096	FALSE	6.519147	7.905442	FALSE	17.4	"excellent"	8.873115	1.098612	7	39.23819	"female"	FALSE	FALSE
5	3.258096	FALSE	6.519147	7.905442	FALSE	17.4	"excellent"	8.873115	1.098612	7	40.23819	"female"	FALSE	FALSE
0	3.258096	FALSE	0	6.57368	FALSE	0	"excellent"	7.737426	0	12	19.36208	"male"	FALSE	FALSE
0	3.258096	FALSE	0	6.57368	FALSE	0	"excellent"	7.737426	0	12	20.36208	"male"	FALSE	FALSE
0	3.258096	FALSE	0	6.57368	FALSE	0	"excellent"	7.737426	0	12	21.36208	"male"	FALSE	FALSE
1	3.258096	FALSE	0	6.57368	FALSE	0	"excellent"	7.737426	0	12	22.36208	"male"	FALSE	FALSE
0	3.258096	FALSE	0	6.57368	FALSE	0	"excellent"	7.737426	0	12	23.36208	"male"	FALSE	FALSE
2	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	13	6.833675	"male"	TRUE	FALSE
5	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	13	7.833675	"male"	TRUE	FALSE
7	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	13	8.833675	"male"	TRUE	FALSE
7	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	17	34.01232	"male"	FALSE	FALSE
4	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	17	35.01232	"male"	FALSE	FALSE
1	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	17	36.01232	"male"	FALSE	FALSE
9	3.931826	FALSE	0	0	TRUE	13.73189	"good"	8.22096	1.386294	13	32.33128	"female"	FALSE	FALSE
7	3.931826	FALSE	0	0	TRUE	13.73189	"good"	8.22096	1.386294	13	33.33128	"female"	FALSE	FALSE
14	3.931826	FALSE	0	0	TRUE	13.73189	"good"	8.22096	1.386294	13	34.33128	"female"	FALSE	FALSE
11	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	13	0.6926762	"female"	TRUE	FALSE
16	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	13	1.692676	"female"	TRUE	FALSE
15	3.931826	FALSE	0	0	FALSE	13.73189	"excellent"	8.22096	1.386294	13	2.692676	"female"	TRUE	FALSE
4	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.036343	1.098612	16	1.689254	"male"	TRUE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.036343	1.098612	16	2.689254	"male"	TRUE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.036343	1.386294	16	3.689254	"male"	TRUE	FALSE
1	0	TRUE	6.109248	0	FALSE	17.4	"excellent"	9.036343	1.098612	16	28.7447	"male"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	17.4	"excellent"	9.036343	1.098612	16	29.7447	"male"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	17.4	"excellent"	9.036343	1.386294	16	30.7447	"male"	FALSE	FALSE
4	0	TRUE	6.109248	0	FALSE	13	"excellent"	9.036343	1.098612	16	29.08419	"female"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13	"excellent"	9.036343	1.098612	16	30.08419	"female"	FALSE	FALSE
3	0	TRUE	6.109248	0	FALSE	13	"excellent"	9.036343	1.386294	16	31.08419	"female"	FALSE	FALSE
19	0	FALSE	0	0	FALSE	13	"excellent"	8.751895	1.098612	14	17.30048	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13	"excellent"	8.751895	1.098612	14	18.30048	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	13	"excellent"	8.751895	1.098612	14	19.30048	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	17.4	"excellent"	8.751895	1.098612	14	53.70021	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	17.4	"excellent"	8.751895	1.098612	14	54.70021	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	17.4	"excellent"	8.751895	1.098612	14	55.70021	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13	"excellent"	8.751895	1.098612	14	53.65366	"male"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	13	"excellent"	8.751895	1.098612	14	54.65366	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13	"excellent"	8.751895	1.098612	14	55.65366	"male"	FALSE	FALSE
6	0	FALSE	3.951244	0	FALSE	4.3	"excellent"	8.530457	0	12	23.02259	"male"	FALSE	FALSE
4	0	FALSE	3.951244	0	FALSE	4.3	"excellent"	8.530457	0	12	24.02259	"male"	FALSE	FALSE
7	0	FALSE	3.951244	0	FALSE	4.3	"excellent"	8.530457	0	12	25.02259	"male"	FALSE	FALSE
15	3.258096	FALSE	6.57368	7.959975	FALSE	13.73189	"excellent"	9.18079	0	11	61.90281	"female"	FALSE	FALSE
16	3.258096	FALSE	6.57368	7.959975	FALSE	13.73189	"excellent"	9.18079	0	11	62.90281	"female"	FALSE	FALSE
3	3.258096	FALSE	6.57368	7.959975	FALSE	13.73189	"excellent"	9.18079	0	11	63.90281	"female"	FALSE	FALSE
1	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	32.53114	"female"	FALSE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	33.53114	"female"	FALSE	FALSE
3	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	34.53114	"female"	FALSE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	35.53114	"female"	FALSE	FALSE
9	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	36.53114	"female"	FALSE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	9.029432	"female"	TRUE	FALSE
1	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	10.02943	"female"	TRUE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	11.02943	"female"	TRUE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	12.02943	"female"	TRUE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	13.02943	"female"	TRUE	FALSE
0	3.258096	FALSE	6.214608	7.600903	TRUE	13.73189	"good"	8.744854	1.386294	12.32507	32.85695	"male"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	TRUE	13.73189	"good"	8.744854	1.386294	12.32507	33.85695	"male"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	TRUE	13.73189	"good"	8.744854	1.386294	12.32507	34.85695	"male"	FALSE	FALSE
1	3.258096	FALSE	6.214608	7.600903	TRUE	13.73189	"good"	8.744854	1.386294	12.32507	35.85695	"male"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	TRUE	13.73189	"good"	8.744854	1.386294	12.32507	36.85695	"male"	FALSE	FALSE
3	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	14.23956	"male"	TRUE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	15.23956	"male"	TRUE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	16.23956	"male"	TRUE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	17.23956	"male"	TRUE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"good"	8.744854	1.386294	9	18.23956	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.366238	0	11	62.02327	"female"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.366238	0	11	63.02327	"female"	FALSE	FALSE
14	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.366238	0	11	64.02327	"female"	FALSE	FALSE
5	3.258096	FALSE	6.120297	7.506592	FALSE	13	"excellent"	8.922791	1.386294	12	31.64134	"female"	FALSE	FALSE
4	3.258096	FALSE	6.120297	7.506592	FALSE	13	"excellent"	8.922791	1.386294	12	32.64134	"female"	FALSE	FALSE
1	3.258096	FALSE	6.120297	7.506592	FALSE	13	"excellent"	8.922791	1.386294	12	33.64134	"female"	FALSE	FALSE
4	3.258096	FALSE	6.120297	7.506592	FALSE	13	"excellent"	8.922791	1.386294	12	34.64134	"female"	FALSE	FALSE
3	3.258096	FALSE	6.120297	7.506592	FALSE	13	"excellent"	8.922791	1.386294	12	35.64134	"female"	FALSE	FALSE
0	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	3.069131	"male"	TRUE	FALSE
2	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	4.069131	"male"	TRUE	FALSE
5	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	5.069131	"male"	TRUE	FALSE
0	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	6.069131	"male"	TRUE	FALSE
0	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	7.069131	"male"	TRUE	FALSE
1	3.258096	FALSE	6.120297	7.506592	FALSE	4.3	"excellent"	8.922791	1.386294	12	31.48528	"male"	FALSE	FALSE
1	3.258096	FALSE	6.120297	7.506592	FALSE	4.3	"excellent"	8.922791	1.386294	12	32.48528	"male"	FALSE	FALSE
1	3.258096	FALSE	6.120297	7.506592	FALSE	4.3	"excellent"	8.922791	1.386294	12	33.48528	"male"	FALSE	FALSE
0	3.258096	FALSE	6.120297	7.506592	FALSE	4.3	"excellent"	8.922791	1.386294	12	34.48528	"male"	FALSE	FALSE
1	3.258096	FALSE	6.120297	7.506592	FALSE	4.3	"excellent"	8.922791	1.386294	12	35.48528	"male"	FALSE	FALSE
1	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	5.738535	"male"	TRUE	FALSE
3	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	6.738535	"male"	TRUE	FALSE
3	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	7.738535	"male"	TRUE	FALSE
2	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	8.738535	"male"	TRUE	FALSE
2	3.258096	FALSE	6.120297	7.506592	FALSE	13.73189	"excellent"	8.922791	1.386294	12	9.738535	"male"	TRUE	FALSE
0	0	TRUE	6.131227	0	FALSE	17.4	"good"	8.338134	1.098612	12	43.07734	"female"	FALSE	FALSE
4	0	TRUE	6.131227	0	FALSE	17.4	"good"	8.338134	1.098612	12	44.07734	"female"	FALSE	FALSE
1	0	TRUE	6.131227	0	FALSE	17.4	"good"	8.338134	1.098612	12	45.07734	"female"	FALSE	FALSE
0	0	TRUE	6.131227	0	FALSE	17.4	"good"	8.338134	0.6931472	12	46.07734	"female"	FALSE	FALSE
0	0	TRUE	6.131227	0	FALSE	17.4	"good"	8.338134	1.098612	12	47.07734	"female"	FALSE	FALSE
1	0	TRUE	6.131227	0	FALSE	13.73189	"good"	8.338134	1.098612	12	13.04586	"male"	TRUE	FALSE
1	0	TRUE	6.131227	0	FALSE	13.73189	"good"	8.338134	1.098612	12	14.04586	"male"	TRUE	FALSE
3	0	TRUE	6.131227	0	FALSE	13.73189	"good"	8.338134	1.098612	12	15.04586	"male"	TRUE	FALSE
5	0	TRUE	6.131227	0	FALSE	13.73189	"good"	8.338134	0.6931472	12	16.04586	"male"	TRUE	FALSE
1	0	TRUE	6.131227	0	FALSE	13.73189	"good"	8.338134	1.098612	12	17.04586	"male"	TRUE	FALSE
0	0	TRUE	6.131227	0	FALSE	4.3	"good"	8.338134	1.098612	11	39.97262	"male"	FALSE	FALSE
0	0	TRUE	6.131227	0	FALSE	4.3	"good"	8.338134	1.098612	11	40.97262	"male"	FALSE	FALSE
1	0	TRUE	6.131227	0	FALSE	4.3	"good"	8.338134	1.098612	11	41.97262	"male"	FALSE	FALSE
2	0	TRUE	6.131227	0	FALSE	4.3	"good"	8.338134	1.098612	11	43.97262	"male"	FALSE	FALSE
12	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.217363	0.6931472	16	26.74607	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.217363	0.6931472	16	27.74607	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.217363	0.6931472	16	28.74607	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.217363	0.6931472	16	26.6475	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.217363	0.6931472	16	27.6475	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.217363	0.6931472	16	28.6475	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	25.62354	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	26.62354	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	27.62354	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	28.62354	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	29.62354	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	27.29363	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	28.29363	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	29.29363	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	30.29363	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	31.29363	"male"	FALSE	FALSE
17	3.258096	FALSE	6.684612	8.070906	TRUE	26.1	"good"	9.628692	1.098612	12	44.84873	"female"	FALSE	FALSE
10	3.258096	FALSE	6.684612	8.070906	TRUE	26.1	"good"	9.628692	1.098612	12	45.84873	"female"	FALSE	FALSE
8	3.258096	FALSE	6.684612	8.070906	TRUE	26.1	"good"	9.628692	1.098612	12	46.84873	"female"	FALSE	FALSE
6	3.258096	FALSE	6.684612	8.070906	TRUE	26.1	"good"	9.628692	1.098612	12	47.84873	"female"	FALSE	FALSE
1	3.258096	FALSE	6.684612	8.070906	TRUE	26.1	"good"	9.628692	1.098612	12	48.84873	"female"	FALSE	FALSE
8	3.258096	FALSE	6.684612	8.070906	TRUE	21.7	"fair"	9.628692	1.098612	16	42.23682	"male"	FALSE	FALSE
5	3.258096	FALSE	6.684612	8.070906	TRUE	21.7	"fair"	9.628692	1.098612	16	43.23682	"male"	FALSE	FALSE
4	3.258096	FALSE	6.684612	8.070906	TRUE	21.7	"fair"	9.628692	1.098612	16	44.23682	"male"	FALSE	FALSE
2	3.258096	FALSE	6.684612	8.070906	TRUE	21.7	"fair"	9.628692	1.098612	16	45.23682	"male"	FALSE	FALSE
4	3.258096	FALSE	6.684612	8.070906	TRUE	21.7	"fair"	9.628692	1.098612	16	46.23682	"male"	FALSE	FALSE
11	3.258096	FALSE	6.684612	8.070906	FALSE	13	"excellent"	9.628692	1.098612	12.32507	19.40862	"male"	FALSE	FALSE
6	3.258096	FALSE	6.684612	8.070906	FALSE	13	"excellent"	9.628692	1.098612	12.32507	20.40862	"male"	FALSE	FALSE
6	3.258096	FALSE	6.684612	8.070906	FALSE	13	"excellent"	9.628692	1.098612	12.32507	21.40862	"male"	FALSE	FALSE
2	3.258096	FALSE	6.684612	8.070906	FALSE	13	"excellent"	9.628692	1.098612	12.32507	22.40862	"male"	FALSE	FALSE
7	3.258096	FALSE	6.684612	8.070906	FALSE	13	"excellent"	9.628692	1.098612	12.32507	23.40862	"male"	FALSE	FALSE
0	3.258096	FALSE	6.736967	8.123261	FALSE	13.73189	"excellent"	8.712623	0	14	49.24572	"female"	FALSE	FALSE
0	3.258096	FALSE	6.736967	8.123261	FALSE	13.73189	"excellent"	8.712623	0	14	50.24572	"female"	FALSE	FALSE
0	3.258096	FALSE	6.736967	8.123261	FALSE	13.73189	"excellent"	8.712623	0	14	51.24572	"female"	FALSE	FALSE
14	0	TRUE	0	0	TRUE	26.1	"excellent"	9.163564	0	8	59.37577	"female"	FALSE	FALSE
3	0	TRUE	0	0	TRUE	26.1	"excellent"	9.163564	0	8	60.37577	"female"	FALSE	FALSE
7	0	TRUE	6.109248	0	FALSE	21.7	"good"	9.163564	1.098612	13	51.60301	"male"	FALSE	FALSE
3	0	TRUE	6.109248	0	FALSE	21.7	"good"	9.163564	1.098612	13	52.60301	"male"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	21.7	"good"	9.163564	1.098612	13	53.60301	"male"	FALSE	FALSE
1	0	TRUE	6.109248	0	FALSE	13	"good"	9.163564	1.098612	12	18.52704	"female"	FALSE	FALSE
3	0	TRUE	6.109248	0	FALSE	13	"good"	9.163564	1.098612	12	19.52704	"female"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	13	"good"	9.163564	1.098612	12	20.52704	"female"	FALSE	FALSE
8	0	TRUE	6.109248	0	FALSE	8.7	"good"	9.163564	1.098612	12	47.10199	"female"	FALSE	FALSE
14	0	TRUE	6.109248	0	FALSE	8.7	"good"	9.163564	1.098612	12	48.10199	"female"	FALSE	FALSE
6	0	TRUE	6.109248	0	FALSE	8.7	"good"	9.163564	1.098612	12	49.10199	"female"	FALSE	FALSE
0	3.931826	FALSE	6.109248	5.786897	FALSE	13.73189	"good"	7.455823	1.098612	11	10.76797	"male"	TRUE	FALSE
0	3.931826	FALSE	6.109248	5.786897	FALSE	13.73189	"good"	7.455823	1.386294	11	11.76797	"male"	TRUE	FALSE
2	3.931826	FALSE	6.109248	5.786897	FALSE	13.73189	"good"	7.455823	1.386294	11	12.76797	"male"	TRUE	FALSE
0	3.931826	FALSE	6.109248	5.786897	FALSE	13.73189	"good"	7.455823	1.386294	11	13.76797	"male"	TRUE	FALSE
5	3.931826	FALSE	6.109248	5.786897	FALSE	13.73189	"good"	7.455823	1.386294	11	14.76797	"male"	TRUE	FALSE
4	3.931826	FALSE	6.109248	5.786897	FALSE	26.1	"good"	7.455823	1.098612	11	47.95893	"female"	FALSE	FALSE
0	3.931826	FALSE	6.109248	5.786897	FALSE	26.1	"good"	7.455823	1.386294	11	48.95893	"female"	FALSE	FALSE
9	3.931826	FALSE	6.109248	5.786897	FALSE	26.1	"good"	7.455823	1.386294	11	49.95893	"female"	FALSE	FALSE
2	3.931826	FALSE	6.109248	5.786897	FALSE	26.1	"good"	7.455823	1.386294	11	50.95893	"female"	FALSE	FALSE
7	3.931826	FALSE	6.109248	5.786897	FALSE	26.1	"good"	7.455823	1.386294	11	51.95893	"female"	FALSE	FALSE
9	3.931826	FALSE	6.109248	5.786897	FALSE	13	"good"	7.455823	1.098612	11	15.86858	"female"	TRUE	FALSE
3	3.931826	FALSE	6.109248	5.786897	FALSE	13	"good"	7.455823	1.386294	11	16.86858	"female"	TRUE	FALSE
7	3.931826	FALSE	6.109248	5.786897	FALSE	13	"good"	7.455823	1.386294	11	17.86858	"female"	TRUE	FALSE
4	3.931826	FALSE	6.109248	5.786897	FALSE	13	"good"	7.455823	1.386294	11	18.86858	"female"	FALSE	FALSE
5	3.931826	FALSE	6.109248	5.786897	FALSE	13	"good"	7.455823	1.386294	11	19.86858	"female"	FALSE	FALSE
10	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"fair"	8.524416	0.6931472	8	58.32717	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"fair"	8.524416	0.6931472	8	59.32717	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.524416	0.6931472	8	49.82888	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.524416	0.6931472	8	50.82888	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	33.73032	"female"	FALSE	FALSE
10	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	34.73032	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	35.73032	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	9.330595	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	10.3306	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	11.3306	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.758319	1.609438	16	10.42026	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.758319	1.609438	16	11.42026	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.758319	1.609438	16	12.42026	"female"	TRUE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	18	34.54894	"male"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	18	35.54894	"male"	FALSE	FALSE
10	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	18	36.54894	"male"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	4.112252	"female"	TRUE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	5.112252	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.758319	1.609438	16	6.112252	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.541152	1.098612	12	11.49076	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.541152	1.098612	12	12.49076	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.541152	1.098612	12	13.49076	"female"	TRUE	FALSE
12	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"good"	9.541152	1.098612	12	42.7269	"female"	FALSE	FALSE
17	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"good"	9.541152	1.098612	12	43.7269	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"good"	9.541152	1.098612	12	44.7269	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.541152	1.098612	11	43.47981	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.541152	1.098612	11	44.47981	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.541152	1.098612	11	45.47981	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	3.471595	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	4.471595	"female"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	5.471595	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	6.471595	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	7.471595	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.356694	1.386294	16	32.55578	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.356694	1.386294	16	33.55578	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.356694	1.386294	16	34.55578	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.356694	1.386294	16	35.55578	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.356694	1.386294	16	36.55578	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	6.401095	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	7.401095	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	8.401095	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	9.401095	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.356694	1.386294	14	10.4011	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"good"	9.356694	1.386294	14	31.86311	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13	"good"	9.356694	1.386294	14	32.86311	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	9.356694	1.386294	14	33.86311	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	9.356694	1.386294	14	34.86311	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	9.356694	1.386294	14	35.86311	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.609438	13	37.21561	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.609438	13	38.21561	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.791759	13	39.21561	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.791759	13	40.21561	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.791759	13	41.21561	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.089112	1.609438	12	14.45311	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.089112	1.609438	12	15.45311	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.089112	1.791759	12	16.45311	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.089112	1.791759	12	17.45311	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	0	"excellent"	9.089112	1.791759	12	18.45311	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.089112	1.609438	12	13.40178	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.089112	1.609438	12	14.40178	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.089112	1.791759	12	15.40178	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.089112	1.791759	12	16.40178	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	TRUE	13.73189	"good"	9.089112	1.791759	12	17.40178	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.089112	1.609438	12	6.075291	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.089112	1.609438	12	7.075291	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.089112	1.791759	12	8.075291	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.089112	1.791759	12	9.075291	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.089112	1.791759	12	10.07529	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.609438	12	32.82683	"female"	FALSE	FALSE
6	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.609438	12	33.82683	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.791759	12	34.82683	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.791759	12	35.82683	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"good"	9.089112	1.791759	12	36.82683	"female"	FALSE	FALSE
12	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.570182	1.386294	20	35.03354	"female"	FALSE	FALSE
9	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.570182	1.386294	20	36.03354	"female"	FALSE	FALSE
7	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.570182	1.386294	20	37.03354	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	13	"excellent"	9.570182	1.386294	24	42.59822	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	13	"excellent"	9.570182	1.386294	24	43.59822	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	13	"excellent"	9.570182	1.386294	24	44.59822	"male"	FALSE	FALSE
10	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.570182	1.386294	20	2.023272	"male"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.570182	1.386294	20	3.023272	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.570182	1.386294	20	4.023272	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.570182	1.386294	20	4.607803	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.570182	1.386294	20	5.607803	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.570182	1.386294	20	6.607803	"male"	TRUE	FALSE
4	0	TRUE	0	0	FALSE	8.7	"good"	9.163564	1.386294	12	41.79603	"female"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	8.7	"good"	9.163564	1.386294	12	42.79603	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"good"	9.163564	1.386294	12	43.79603	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	8.7	"good"	9.163564	1.386294	12	44.79603	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	8.7	"good"	9.163564	1.386294	12	45.79603	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	4.3	"good"	9.163564	1.386294	12	14.57632	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	4.3	"good"	9.163564	1.386294	12	15.57632	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"good"	9.163564	1.386294	12	16.57632	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"good"	9.163564	1.386294	12	17.57632	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"good"	9.163564	1.386294	12	18.57632	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	12	8.405202	"female"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	12	9.405202	"female"	TRUE	FALSE
8	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	12	10.4052	"female"	TRUE	FALSE
3	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	12	11.4052	"female"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	12	12.4052	"female"	TRUE	FALSE
7	0	TRUE	0	0	FALSE	17.4	"good"	9.163564	0	13	19.47433	"female"	FALSE	FALSE
5	0	TRUE	0	0	FALSE	17.4	"good"	9.163564	0	13	20.47433	"female"	FALSE	FALSE
4	0	TRUE	0	0	FALSE	17.4	"good"	9.163564	0	13	21.47433	"female"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	17.4	"good"	9.163564	0	13	22.47433	"female"	FALSE	FALSE
4	0	TRUE	0	0	FALSE	17.4	"good"	9.163564	0	13	23.47433	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13	"fair"	9.163564	1.386294	12	42.00411	"male"	FALSE	FALSE
6	0	TRUE	0	0	FALSE	13	"fair"	9.163564	1.386294	12	43.00411	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13	"fair"	9.163564	1.386294	12	44.00411	"male"	FALSE	FALSE
4	0	TRUE	0	0	FALSE	13	"fair"	9.163564	1.386294	12	45.00411	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13	"fair"	9.163564	1.386294	12	46.00411	"male"	FALSE	FALSE
8	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	1.092402	"male"	TRUE	FALSE
4	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	2.092402	"male"	TRUE	FALSE
6	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	3.092402	"male"	TRUE	FALSE
4	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	4.092402	"male"	TRUE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	5.092402	"male"	TRUE	FALSE
4	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	3.92334	"female"	TRUE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	4.92334	"female"	TRUE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	5.92334	"female"	TRUE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	6.92334	"female"	TRUE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.115308	1.386294	19	7.92334	"female"	TRUE	FALSE
1	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	32.19439	"male"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	33.19439	"male"	FALSE	FALSE
4	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	34.19439	"male"	FALSE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	35.19439	"male"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	36.19439	"male"	FALSE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	30.88022	"female"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	31.88022	"female"	FALSE	FALSE
1	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	32.88022	"female"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	33.88022	"female"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.115308	1.386294	19	34.88022	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.184425	1.386294	14	32.97467	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.184425	1.386294	14	33.97467	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.184425	1.609438	14	34.97467	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.184425	1.386294	12	6.130048	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.184425	1.386294	12	7.130048	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.184425	1.609438	12	8.130048	"male"	TRUE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.184425	1.386294	12	31.21424	"female"	FALSE	FALSE
11	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.184425	1.386294	12	32.21424	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.184425	1.609438	12	33.21424	"female"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.184425	1.386294	12	8.919918	"male"	TRUE	FALSE
31	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.184425	1.386294	12	9.919918	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.184425	1.609438	12	10.91992	"male"	TRUE	FALSE
5	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.609438	11	3.039014	"male"	TRUE	FALSE
3	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	4.039014	"male"	TRUE	FALSE
6	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	5.039014	"male"	TRUE	FALSE
4	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	6.039014	"male"	TRUE	FALSE
1	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	7.039014	"male"	TRUE	FALSE
3	0	FALSE	6.126869	0	FALSE	8.7	"excellent"	8.627794	1.609438	11	22.5243	"female"	FALSE	FALSE
9	0	FALSE	6.126869	0	FALSE	8.7	"excellent"	8.627794	1.791759	11	23.5243	"female"	FALSE	FALSE
1	0	FALSE	6.126869	0	FALSE	8.7	"excellent"	8.627794	1.791759	11	24.5243	"female"	FALSE	FALSE
4	0	FALSE	6.126869	0	FALSE	8.7	"excellent"	8.627794	1.791759	11	25.5243	"female"	FALSE	FALSE
1	0	FALSE	6.126869	0	FALSE	8.7	"excellent"	8.627794	1.791759	11	26.5243	"female"	FALSE	FALSE
1	0	FALSE	6.126869	0	FALSE	0	"excellent"	8.627794	1.609438	11	23.90144	"male"	FALSE	FALSE
3	0	FALSE	6.126869	0	FALSE	0	"excellent"	8.627794	1.791759	11	24.90144	"male"	FALSE	FALSE
0	0	FALSE	6.126869	0	FALSE	0	"excellent"	8.627794	1.791759	11	25.90144	"male"	FALSE	FALSE
2	0	FALSE	6.126869	0	FALSE	0	"excellent"	8.627794	1.791759	11	26.90144	"male"	FALSE	FALSE
1	0	FALSE	6.126869	0	FALSE	0	"excellent"	8.627794	1.791759	11	27.90144	"male"	FALSE	FALSE
3	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.609438	11	1.954826	"female"	TRUE	FALSE
5	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	2.954825	"female"	TRUE	FALSE
7	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	3.954825	"female"	TRUE	FALSE
3	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	4.954825	"female"	TRUE	FALSE
0	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	5.954825	"female"	TRUE	FALSE
1	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.609438	11	4.911705	"male"	TRUE	FALSE
5	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	5.911705	"male"	TRUE	FALSE
7	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	6.911705	"male"	TRUE	FALSE
4	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	7.911705	"male"	TRUE	FALSE
2	0	FALSE	6.126869	0	FALSE	13.73189	"excellent"	8.627794	1.791759	11	8.911704	"male"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	30.4	"poor"	8.536802	0.6931472	4	57.87269	"male"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	30.4	"poor"	8.536802	0.6931472	4	58.87269	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	30.4	"poor"	8.536802	0.6931472	4	59.87269	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	30.4	"poor"	8.536802	0.6931472	4	60.87269	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	30.4	"poor"	8.536802	0.6931472	4	61.87269	"male"	FALSE	FALSE
15	0	FALSE	0	0	FALSE	30.4	"fair"	8.536802	0.6931472	6	53.72211	"female"	FALSE	FALSE
28	0	FALSE	0	0	FALSE	30.4	"fair"	8.536802	0.6931472	6	54.72211	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	30.4	"fair"	8.536802	0.6931472	6	55.72211	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	30.4	"fair"	8.536802	0.6931472	6	56.72211	"female"	FALSE	FALSE
17	0	FALSE	0	0	FALSE	30.4	"fair"	8.536802	0.6931472	6	57.72211	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.219337	0	12	24.17796	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.219337	0	12	25.17796	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.219337	0	12	26.17796	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.219337	0	12	27.17796	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.219337	0	12	28.17796	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	11.52088	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	12.52088	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	13.52088	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.353157	1.94591	10	10.59274	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.353157	1.94591	10	11.59274	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.353157	1.94591	10	12.59274	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	2.778919	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	3.778919	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	4.778919	"female"	TRUE	FALSE
4	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	8.353157	1.94591	8	30.5681	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	8.353157	1.94591	8	31.5681	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	8.353157	1.94591	8	32.5681	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	28.33402	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	29.33402	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	30.33402	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	7.980835	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	8.980835	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.353157	1.94591	10	9.980835	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.353157	1.94591	10	9.38809	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.353157	1.94591	10	10.38809	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.353157	1.94591	10	11.38809	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	17.4	"good"	8.431167	1.098612	12	50.34086	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.4	"good"	8.431167	1.098612	12	51.34086	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"good"	8.431167	1.098612	12	52.34086	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"good"	8.431167	1.098612	12	53.34086	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"good"	8.431167	1.098612	12	54.34086	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	4.3	"good"	8.431167	1.098612	11	18.26694	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"good"	8.431167	1.098612	11	19.26694	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"good"	8.431167	1.098612	11	20.26694	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"good"	8.431167	1.098612	11	21.26694	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"good"	8.431167	1.098612	11	22.26694	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	8.431167	1.098612	12	11.57837	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	8.431167	1.098612	12	12.57837	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	8.431167	1.098612	12	13.57837	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	8.431167	1.098612	12	14.57837	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	8.431167	1.098612	12	15.57837	"female"	TRUE	FALSE
10	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	45.90828	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	46.90828	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	47.90828	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	48.90828	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	49.90828	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	46.73238	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	47.73238	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	48.73238	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	49.73238	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	4.446962	1.098612	12	50.73238	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"fair"	9.525206	1.098612	12	43.59753	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"fair"	9.525206	1.098612	12	44.59753	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"fair"	9.525206	1.098612	12	45.59753	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"fair"	9.525206	1.098612	12	46.59753	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	26.1	"fair"	9.525206	1.098612	12	47.59753	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.525206	1.098612	8	43.93977	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.525206	1.098612	8	44.93977	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.525206	1.098612	8	45.93977	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.525206	1.098612	8	46.93977	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.525206	1.098612	8	47.93977	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.525206	1.098612	12	15.26352	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.525206	1.098612	12	16.26352	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.525206	1.098612	12	17.26352	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.525206	1.098612	12	18.26352	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13	"excellent"	9.525206	1.098612	12	19.26352	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	17.4	"good"	8.352426	0.6931472	9	61.69199	"male"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	17.4	"good"	8.352426	0.6931472	9	62.69199	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.4	"good"	8.352426	0.6931472	9	63.69199	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	30.4	"fair"	8.352426	0.6931472	7	61.80972	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	30.4	"fair"	8.352426	0.6931472	7	62.80972	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	30.4	"fair"	8.352426	0.6931472	7	63.80972	"female"	FALSE	FALSE
8	3.258096	FALSE	4.70048	6.086775	TRUE	13.73189	"fair"	9.163564	0	12	51.154	"male"	FALSE	TRUE
5	3.258096	FALSE	4.70048	6.086775	TRUE	13.73189	"fair"	9.163564	0	12	52.154	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	4.3	"good"	9.163564	1.098612	12	18.95688	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	4.3	"good"	9.163564	1.098612	12	19.95688	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	4.3	"good"	9.163564	1.386294	12	20.95688	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	4.3	"good"	9.163564	1.386294	12	21.95688	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	4.3	"good"	9.163564	1.609438	12	22.95688	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.098612	8	51.71252	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.098612	8	52.71252	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.386294	8	53.71252	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.386294	8	54.71252	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.609438	8	55.71252	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.098612	12	21.71937	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.098612	12	22.71937	"male"	FALSE	TRUE
8	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.386294	12	23.71937	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.386294	12	24.71937	"male"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	8.7	"good"	9.163564	1.609438	12	25.71937	"male"	FALSE	TRUE
4	0	FALSE	4.276666	0	FALSE	0	"good"	9.163564	0	12	23.11294	"female"	FALSE	TRUE
10	0	FALSE	4.276666	0	FALSE	0	"good"	9.163564	0	12	24.11294	"female"	FALSE	TRUE
8	0	FALSE	4.276666	0	FALSE	0	"good"	9.163564	0	12	25.11294	"female"	FALSE	TRUE
3	0	FALSE	4.276666	0	FALSE	0	"good"	9.163564	0	12	26.11294	"female"	FALSE	TRUE
2	0	FALSE	4.276666	0	FALSE	0	"good"	9.163564	0	12	27.11294	"female"	FALSE	TRUE
8	0	TRUE	0	0	FALSE	21.7	"poor"	7.740128	0	8	52.39699	"female"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	21.7	"poor"	7.740128	0	8	53.39699	"female"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	21.7	"poor"	7.740128	0	8	54.39699	"female"	FALSE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	13.73189	"excellent"	6.801576	1.609438	9	13.59617	"male"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	13.73189	"excellent"	6.801576	1.609438	9	14.59617	"male"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	13.73189	"excellent"	6.801576	1.609438	9	11.47159	"male"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	13.73189	"excellent"	6.801576	1.609438	9	12.47159	"male"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	13.73189	"excellent"	6.801576	1.609438	9	9.409993	"female"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	13.73189	"excellent"	6.801576	1.609438	9	10.40999	"female"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	8.7	"excellent"	6.801576	1.609438	9	14.93224	"female"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	8.7	"excellent"	6.801576	1.609438	9	15.93224	"female"	TRUE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	21.7	"excellent"	6.801576	1.609438	9	32.79945	"female"	FALSE	TRUE
0	3.258096	FALSE	4.61512	6.001415	FALSE	21.7	"excellent"	6.801576	1.609438	9	33.79945	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	13	"excellent"	8.280404	0	6	51.42231	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	13	"excellent"	8.280404	0	6	52.42231	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	13	"excellent"	8.280404	0	6	53.42231	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	13	"excellent"	8.280404	0	6	54.42231	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	13	"excellent"	8.280404	0	6	55.42231	"female"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	7.118412	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	8.118412	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	9.118412	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	10.11841	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	11.11841	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	8.678987	"female"	TRUE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	9.678987	"female"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	10.67899	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	11.67899	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	12.67899	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.557637	1.791759	12	35.06092	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.557637	1.791759	12	36.06092	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.557637	1.791759	12	37.06092	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.557637	1.791759	12	38.06092	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.557637	1.791759	12	39.06092	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	13.82615	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	14.82615	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	15.82615	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	16.82615	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	17.82615	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.557637	1.791759	16	41.97399	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.557637	1.791759	16	42.97399	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.557637	1.791759	16	43.97399	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.557637	1.791759	16	44.97399	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	21.7	"good"	9.557637	1.791759	16	45.97399	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	12.54483	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	13.54483	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	14.54483	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	15.54483	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.557637	1.791759	12	16.54483	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.444766	1.386294	8	26.57084	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.444766	1.386294	8	27.57084	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.444766	1.386294	8	28.57084	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.444766	1.386294	8	29.57084	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.444766	1.386294	8	30.57084	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.444766	1.386294	12	30.97604	"male"	FALSE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.444766	1.386294	12	31.97604	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.444766	1.386294	12	32.97604	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.444766	1.386294	12	33.97604	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.444766	1.386294	12	34.97604	"male"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.444766	1.386294	8	8.791239	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.444766	1.386294	8	9.791239	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.444766	1.386294	8	10.79124	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.444766	1.386294	8	11.79124	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.444766	1.386294	8	12.79124	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.444766	1.386294	8	11.44695	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.444766	1.386294	8	12.44695	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.444766	1.386294	8	13.44695	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.444766	1.386294	8	14.44695	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.444766	1.386294	8	15.44695	"female"	TRUE	FALSE
7	3.258096	FALSE	6.520621	7.906916	FALSE	13	"good"	9.489875	1.386294	13	26.36276	"female"	FALSE	FALSE
13	3.258096	FALSE	6.520621	7.906916	FALSE	13	"good"	9.489875	1.386294	13	27.36276	"female"	FALSE	FALSE
4	3.258096	FALSE	6.520621	7.906916	FALSE	13	"good"	9.489875	1.386294	13	28.36276	"female"	FALSE	FALSE
1	3.258096	FALSE	6.520621	7.906916	FALSE	8.7	"good"	9.489875	1.386294	12	28.4627	"male"	FALSE	FALSE
1	3.258096	FALSE	6.520621	7.906916	FALSE	8.7	"good"	9.489875	1.386294	12	29.4627	"male"	FALSE	FALSE
7	3.258096	FALSE	6.520621	7.906916	FALSE	8.7	"good"	9.489875	1.386294	12	30.4627	"male"	FALSE	FALSE
2	3.258096	FALSE	6.520621	7.906916	FALSE	13.73189	"good"	9.489875	1.386294	13	5.155373	"male"	TRUE	FALSE
1	3.258096	FALSE	6.520621	7.906916	FALSE	13.73189	"good"	9.489875	1.386294	13	6.155373	"male"	TRUE	FALSE
0	3.258096	FALSE	6.520621	7.906916	FALSE	13.73189	"good"	9.489875	1.386294	13	7.155373	"male"	TRUE	FALSE
0	3.258096	FALSE	6.520621	7.906916	FALSE	13.73189	"good"	9.489875	1.386294	13	6.63655	"female"	TRUE	FALSE
1	3.258096	FALSE	6.520621	7.906916	FALSE	13.73189	"good"	9.489875	1.386294	13	7.63655	"female"	TRUE	FALSE
0	3.258096	FALSE	6.520621	7.906916	FALSE	13.73189	"good"	9.489875	1.386294	13	8.63655	"female"	TRUE	FALSE
5	0	TRUE	6.109248	0	FALSE	30.4	"good"	9.21434	1.098612	14	30.91581	"male"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	30.4	"good"	9.21434	1.098612	14	31.91581	"male"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	30.4	"good"	9.21434	1.098612	14	32.91581	"male"	FALSE	FALSE
3	0	TRUE	6.109248	0	FALSE	30.4	"good"	9.21434	1.098612	14	33.91581	"male"	FALSE	FALSE
4	0	TRUE	6.109248	0	FALSE	30.4	"good"	9.21434	1.098612	14	34.91581	"male"	FALSE	FALSE
2	0	TRUE	6.109248	0	TRUE	17.4	"good"	9.21434	1.098612	9	26.48871	"female"	FALSE	FALSE
1	0	TRUE	6.109248	0	TRUE	17.4	"good"	9.21434	1.098612	9	27.48871	"female"	FALSE	FALSE
1	0	TRUE	6.109248	0	TRUE	17.4	"good"	9.21434	1.098612	9	28.48871	"female"	FALSE	FALSE
1	0	TRUE	6.109248	0	TRUE	17.4	"good"	9.21434	1.098612	9	29.48871	"female"	FALSE	FALSE
1	0	TRUE	6.109248	0	TRUE	17.4	"good"	9.21434	1.098612	9	30.48871	"female"	FALSE	FALSE
9	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.21434	1.098612	9	7.359343	"female"	TRUE	FALSE
10	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.21434	1.098612	9	8.359343	"female"	TRUE	FALSE
8	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.21434	1.098612	9	9.359343	"female"	TRUE	FALSE
6	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.21434	1.098612	9	10.35934	"female"	TRUE	FALSE
8	0	TRUE	6.109248	0	FALSE	13.73189	"good"	9.21434	1.098612	9	11.35934	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.22595	1.098612	13	29.44832	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.22595	1.098612	13	30.44832	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.22595	1.098612	13	31.44832	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.22595	1.098612	13	32.44832	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.22595	1.098612	13	33.44832	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.22595	1.098612	12	2.915811	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.22595	1.098612	12	3.915811	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.22595	1.098612	12	4.915811	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.22595	1.098612	12	5.915811	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.22595	1.098612	12	6.915811	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.22595	1.098612	12	24.84599	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.22595	1.098612	12	25.84599	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.22595	1.098612	12	26.84599	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.22595	1.098612	12	27.84599	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.22595	1.098612	12	28.84599	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.782728	1.791759	11	18.58179	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.782728	1.791759	11	19.58179	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.782728	1.94591	11	20.58179	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.782728	1.791759	12	15.44422	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.782728	1.791759	12	16.44422	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.782728	1.94591	12	17.44422	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.782728	1.791759	12	17.24025	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.782728	1.791759	12	18.24025	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.782728	1.94591	12	19.24025	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"good"	9.782728	1.791759	12	41.54415	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"good"	9.782728	1.791759	12	42.54415	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"good"	9.782728	1.94591	12	43.54415	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	30.4	"good"	9.782728	1.791759	12	40.38877	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	30.4	"good"	9.782728	1.791759	12	41.38877	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	TRUE	30.4	"good"	9.782728	1.94591	12	42.38877	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.782728	1.791759	12	10.39836	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.782728	1.791759	12	11.39836	"female"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.782728	1.94591	12	12.39836	"female"	TRUE	FALSE
2	3.931826	FALSE	6.363563	7.05671	FALSE	21.7	"good"	8.295539	0	12	20.87064	"female"	FALSE	FALSE
2	3.931826	FALSE	6.363563	7.05671	FALSE	21.7	"good"	8.295539	0	12	21.87064	"female"	FALSE	FALSE
1	3.931826	FALSE	6.363563	7.05671	FALSE	21.7	"good"	8.295539	0	12	22.87064	"female"	FALSE	FALSE
2	3.931826	FALSE	6.263398	6.956545	FALSE	8.7	"excellent"	8.994352	1.386294	13	28.20808	"female"	FALSE	FALSE
2	3.931826	FALSE	6.263398	6.956545	FALSE	8.7	"excellent"	8.994352	1.386294	13	29.20808	"female"	FALSE	FALSE
0	3.931826	FALSE	6.263398	6.956545	FALSE	8.7	"excellent"	8.994352	1.386294	13	30.20808	"female"	FALSE	FALSE
1	3.931826	FALSE	6.263398	6.956545	FALSE	8.7	"excellent"	8.994352	1.386294	13	31.20808	"female"	FALSE	FALSE
1	3.931826	FALSE	6.263398	6.956545	FALSE	8.7	"excellent"	8.994352	1.386294	13	32.20808	"female"	FALSE	FALSE
2	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	8.271048	"female"	TRUE	FALSE
0	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	9.271048	"female"	TRUE	FALSE
0	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	10.27105	"female"	TRUE	FALSE
2	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	11.27105	"female"	TRUE	FALSE
1	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	12.27105	"female"	TRUE	FALSE
16	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	5.842574	"male"	TRUE	FALSE
16	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	6.842574	"male"	TRUE	FALSE
7	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	7.842574	"male"	TRUE	FALSE
0	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	8.842573	"male"	TRUE	FALSE
0	3.931826	FALSE	6.263398	6.956545	FALSE	13.73189	"excellent"	8.994352	1.386294	13	9.842573	"male"	TRUE	FALSE
4	3.931826	FALSE	6.263398	6.956545	FALSE	17.4	"excellent"	8.994352	1.386294	14	29.61533	"male"	FALSE	FALSE
0	3.931826	FALSE	6.263398	6.956545	FALSE	17.4	"excellent"	8.994352	1.386294	14	30.61533	"male"	FALSE	FALSE
3	3.931826	FALSE	6.263398	6.956545	FALSE	17.4	"excellent"	8.994352	1.386294	14	31.61533	"male"	FALSE	FALSE
1	3.931826	FALSE	6.263398	6.956545	FALSE	17.4	"excellent"	8.994352	1.386294	14	32.61533	"male"	FALSE	FALSE
2	3.931826	FALSE	6.263398	6.956545	FALSE	17.4	"excellent"	8.994352	1.386294	14	33.61533	"male"	FALSE	FALSE
0	3.258096	FALSE	4.276666	5.662961	TRUE	13.73189	"fair"	0.6931472	0.6931472	10	6.8282	"female"	TRUE	TRUE
0	3.258096	FALSE	4.276666	5.662961	TRUE	13.73189	"fair"	0.6931472	0.6931472	10	7.8282	"female"	TRUE	TRUE
29	3.258096	FALSE	4.276666	5.662961	TRUE	13.73189	"fair"	0.6931472	0.6931472	10	8.828199	"female"	TRUE	TRUE
0	3.258096	FALSE	4.276666	5.662961	TRUE	26.1	"fair"	0.6931472	0.6931472	10	48.79671	"female"	FALSE	TRUE
0	3.258096	FALSE	4.276666	5.662961	TRUE	26.1	"fair"	0.6931472	0.6931472	10	49.79671	"female"	FALSE	TRUE
12	3.258096	FALSE	4.276666	5.662961	TRUE	26.1	"fair"	0.6931472	0.6931472	10	50.79671	"female"	FALSE	TRUE
3	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.497756	1.386294	18	14.84736	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.497756	1.386294	18	15.84736	"female"	TRUE	FALSE
7	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.497756	1.386294	18	16.84736	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.497756	1.386294	18	17.84736	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.497756	1.386294	18	18.84736	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	15	45.85352	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	15	46.85352	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	15	47.85352	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	15	48.85352	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	15	49.85352	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	18	16.09309	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	18	17.09309	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	18	18.09309	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	18	19.09309	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.497756	1.386294	18	20.09309	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	26.1	"good"	9.497756	1.386294	18	51.32923	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	26.1	"good"	9.497756	1.386294	18	52.32923	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	26.1	"good"	9.497756	1.386294	18	53.32923	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	26.1	"good"	9.497756	1.386294	18	54.32923	"female"	FALSE	FALSE
6	0	TRUE	6.907755	0	FALSE	26.1	"good"	9.497756	1.386294	18	55.32923	"female"	FALSE	FALSE
2	0	TRUE	4.317488	0	FALSE	13.73189	"excellent"	8.387922	0.6931472	11	1.919233	"female"	TRUE	FALSE
8	0	TRUE	4.317488	0	FALSE	13.73189	"excellent"	8.387922	0.6931472	11	2.919233	"female"	TRUE	FALSE
2	0	TRUE	4.317488	0	FALSE	13.73189	"excellent"	8.387922	1.098612	11	3.919233	"female"	TRUE	FALSE
4	0	TRUE	4.317488	0	FALSE	13.73189	"excellent"	8.387922	1.098612	11	4.919233	"female"	TRUE	FALSE
4	0	TRUE	4.317488	0	FALSE	13.73189	"excellent"	8.387922	1.098612	11	5.919233	"female"	TRUE	FALSE
8	0	TRUE	4.317488	0	FALSE	21.7	"excellent"	8.387922	0.6931472	11	18.73511	"female"	FALSE	FALSE
3	0	TRUE	4.317488	0	FALSE	21.7	"excellent"	8.387922	0.6931472	11	19.73511	"female"	FALSE	FALSE
16	0	TRUE	4.317488	0	FALSE	21.7	"excellent"	8.387922	1.098612	11	20.73511	"female"	FALSE	FALSE
18	0	TRUE	4.317488	0	FALSE	21.7	"excellent"	8.387922	1.098612	11	21.73511	"female"	FALSE	FALSE
8	0	TRUE	4.317488	0	FALSE	21.7	"excellent"	8.387922	1.098612	11	22.73511	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	15.79192	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	16.79192	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	17.79192	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	18.79192	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	19.79192	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	46.4011	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	47.4011	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	48.4011	"female"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	49.4011	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.013644	1.098612	16	50.4011	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.013644	1.098612	16	47.45243	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.013644	1.098612	16	48.45243	"male"	FALSE	FALSE
11	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.013644	1.098612	16	49.45243	"male"	FALSE	FALSE
8	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.013644	1.098612	16	50.45243	"male"	FALSE	FALSE
9	0	TRUE	6.907755	0	TRUE	13.73189	"fair"	9.013644	1.098612	16	51.45243	"male"	FALSE	FALSE
6	0	TRUE	4.382027	0	TRUE	26.1	"good"	9.725213	0.6931472	12	48.67077	"male"	FALSE	FALSE
2	0	TRUE	4.382027	0	TRUE	26.1	"good"	9.725213	0.6931472	12	49.67077	"male"	FALSE	FALSE
4	0	TRUE	4.382027	0	TRUE	26.1	"good"	9.725213	0.6931472	12	50.67077	"male"	FALSE	FALSE
3	0	TRUE	4.382027	0	TRUE	26.1	"good"	9.725213	0.6931472	12	51.67077	"male"	FALSE	FALSE
6	0	TRUE	4.382027	0	TRUE	26.1	"good"	9.725213	0.6931472	12	52.67077	"male"	FALSE	FALSE
3	0	TRUE	4.382027	0	FALSE	4.3	"excellent"	9.725213	0.6931472	10	47.9562	"female"	FALSE	FALSE
4	0	TRUE	4.382027	0	FALSE	4.3	"excellent"	9.725213	0.6931472	10	48.9562	"female"	FALSE	FALSE
3	0	TRUE	4.382027	0	FALSE	4.3	"excellent"	9.725213	0.6931472	10	49.9562	"female"	FALSE	FALSE
3	0	TRUE	4.382027	0	FALSE	4.3	"excellent"	9.725213	0.6931472	10	50.9562	"female"	FALSE	FALSE
5	0	TRUE	4.382027	0	FALSE	4.3	"excellent"	9.725213	0.6931472	10	51.9562	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	18	53.18549	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	18	54.18549	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	18	55.18549	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	18	56.18549	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	18	57.18549	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.4	"excellent"	9.444373	1.609438	16	50.19028	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.4	"excellent"	9.444373	1.609438	16	51.19028	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.4	"excellent"	9.444373	1.609438	16	52.19028	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"excellent"	9.444373	1.609438	16	53.19028	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.4	"excellent"	9.444373	1.609438	16	54.19028	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.444373	1.609438	16	13.05681	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.444373	1.609438	16	14.05681	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.444373	1.609438	16	15.05681	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.444373	1.609438	16	16.05681	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.444373	1.609438	16	17.05681	"female"	TRUE	FALSE
15	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	12.32507	18.10814	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	12.32507	19.10814	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	12.32507	20.10814	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	12.32507	21.10814	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"excellent"	9.444373	1.609438	12.32507	22.10814	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.444373	1.609438	16	14.5462	"female"	TRUE	FALSE
12	0	FALSE	0	0	FALSE	4.3	"excellent"	9.444373	1.609438	16	15.5462	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	4.3	"excellent"	9.444373	1.609438	16	16.5462	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	4.3	"excellent"	9.444373	1.609438	16	17.5462	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.444373	1.609438	16	18.5462	"female"	FALSE	FALSE
3	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	22	49.6345	"male"	FALSE	FALSE
5	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	22	50.6345	"male"	FALSE	FALSE
4	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	22	51.6345	"male"	FALSE	FALSE
5	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	22	52.6345	"male"	FALSE	FALSE
3	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	22	53.6345	"male"	FALSE	FALSE
4	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	53.49213	"female"	FALSE	FALSE
5	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	54.49213	"female"	FALSE	FALSE
6	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	55.49213	"female"	FALSE	FALSE
5	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	56.49213	"female"	FALSE	FALSE
6	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	57.49213	"female"	FALSE	FALSE
1	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	17.63997	"male"	TRUE	FALSE
1	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	18.63997	"male"	FALSE	FALSE
0	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	19.63997	"male"	FALSE	FALSE
0	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	20.63997	"male"	FALSE	FALSE
1	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	21.63997	"male"	FALSE	FALSE
9	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	15.72895	"male"	TRUE	FALSE
4	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	16.72895	"male"	TRUE	FALSE
2	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	17.72895	"male"	TRUE	FALSE
2	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	18.72895	"male"	FALSE	FALSE
4	0	FALSE	5.451038	0	FALSE	13.73189	"good"	9.392952	1.386294	12	19.72895	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.273775	0.6931472	14	59.69062	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.273775	0.6931472	14	60.69062	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.273775	0.6931472	14	61.69062	"male"	FALSE	FALSE
11	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.273775	0.6931472	12	57.26762	"female"	FALSE	FALSE
13	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.273775	0.6931472	12	58.26762	"female"	FALSE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.273775	0.6931472	12	59.26762	"female"	FALSE	FALSE
1	0	TRUE	6.549651	0	FALSE	4.3	"excellent"	9.031607	0.6931472	12	49.6345	"male"	FALSE	FALSE
6	0	TRUE	6.549651	0	FALSE	4.3	"excellent"	9.031607	0.6931472	12	50.6345	"male"	FALSE	FALSE
0	0	TRUE	6.549651	0	FALSE	4.3	"excellent"	9.031607	0.6931472	12	51.6345	"male"	FALSE	FALSE
6	0	TRUE	6.549651	0	FALSE	4.3	"excellent"	9.031607	0.6931472	12	52.6345	"male"	FALSE	FALSE
5	0	TRUE	6.549651	0	FALSE	4.3	"excellent"	9.031607	0.6931472	12	53.6345	"male"	FALSE	FALSE
22	0	TRUE	6.549651	0	FALSE	26.1	"good"	9.031607	0.6931472	12	50.57084	"female"	FALSE	FALSE
2	0	TRUE	6.549651	0	FALSE	26.1	"good"	9.031607	0.6931472	12	51.57084	"female"	FALSE	FALSE
0	0	TRUE	6.549651	0	FALSE	26.1	"good"	9.031607	0.6931472	12	52.57084	"female"	FALSE	FALSE
2	0	TRUE	6.549651	0	FALSE	26.1	"good"	9.031607	0.6931472	12	53.57084	"female"	FALSE	FALSE
0	0	TRUE	6.549651	0	FALSE	26.1	"good"	9.031607	0.6931472	12	54.57084	"female"	FALSE	FALSE
8	0	TRUE	4.976734	0	FALSE	13.73189	"excellent"	9.163564	1.098612	16	2.102669	"male"	TRUE	FALSE
7	0	TRUE	4.976734	0	FALSE	13.73189	"excellent"	9.163564	1.386294	16	3.102669	"male"	TRUE	FALSE
1	0	TRUE	4.976734	0	FALSE	13.73189	"excellent"	9.163564	1.386294	16	4.102669	"male"	TRUE	FALSE
0	0	TRUE	4.976734	0	FALSE	13.73189	"good"	9.163564	1.098612	16	31.37851	"female"	FALSE	FALSE
7	0	TRUE	4.976734	0	FALSE	13.73189	"good"	9.163564	1.386294	16	32.37851	"female"	FALSE	FALSE
6	0	TRUE	4.976734	0	FALSE	13.73189	"good"	9.163564	1.386294	16	33.37851	"female"	FALSE	FALSE
0	0	TRUE	4.976734	0	FALSE	13.73189	"good"	9.163564	1.098612	16	33.21561	"male"	FALSE	FALSE
0	0	TRUE	4.976734	0	FALSE	13.73189	"good"	9.163564	1.386294	16	34.21561	"male"	FALSE	FALSE
0	0	TRUE	4.976734	0	FALSE	13.73189	"good"	9.163564	1.386294	16	35.21561	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.602467	1.098612	16	37.21834	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.602467	1.098612	16	38.21834	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.602467	1.098612	16	39.21834	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.602467	1.098612	12	7.137577	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.602467	1.098612	12	8.137577	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.602467	1.098612	12	9.137577	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.602467	1.098612	12	40.87885	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.602467	1.098612	12	41.87885	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	21.7	"excellent"	9.602467	1.098612	12	42.87885	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.195189	1.098612	12	34.73785	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.195189	1.098612	12	35.73785	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.195189	0	12	36.73785	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.195189	1.098612	12	10.09993	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.195189	1.098612	12	11.09993	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.195189	1.098612	12	33.32786	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"good"	9.195189	1.098612	12	34.32786	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.370849	0	13	22.89391	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.370849	0	13	23.89391	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.370849	0	13	24.89391	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.370849	0	13	25.89391	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.370849	0	13	26.89391	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.927988	1.386294	12	0.8158795	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.927988	1.386294	12	1.81588	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.927988	1.386294	12	2.81588	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.927988	1.386294	12	3.81588	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.927988	1.386294	12	4.815879	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.927988	1.386294	12	25.78508	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.927988	1.386294	12	26.78508	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.927988	1.386294	12	27.78508	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.927988	1.386294	12	28.78508	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	8.927988	1.386294	12	29.78508	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.927988	1.386294	12	3.531827	"male"	TRUE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.927988	1.386294	12	4.531827	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.927988	1.386294	12	5.531827	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.927988	1.386294	12	6.531827	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.927988	1.386294	12	7.531827	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13	"excellent"	8.927988	1.386294	12	23.96715	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	13	"excellent"	8.927988	1.386294	12	24.96715	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13	"excellent"	8.927988	1.386294	12	25.96715	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"excellent"	8.927988	1.386294	12	26.96715	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13	"excellent"	8.927988	1.386294	12	27.96715	"female"	FALSE	FALSE
15	3.258096	FALSE	6.461468	7.847763	FALSE	13.73189	"good"	9.090302	1.386294	16	0.9089665	"female"	TRUE	FALSE
4	3.258096	FALSE	6.461468	7.847763	FALSE	13.73189	"good"	9.090302	1.386294	16	1.908966	"female"	TRUE	FALSE
6	3.258096	FALSE	6.461468	7.847763	FALSE	13.73189	"good"	9.090302	1.386294	16	2.908967	"female"	TRUE	FALSE
11	3.258096	FALSE	6.461468	7.847763	TRUE	30.4	"fair"	9.090302	1.386294	16	34.62286	"male"	FALSE	FALSE
1	3.258096	FALSE	6.461468	7.847763	TRUE	30.4	"fair"	9.090302	1.386294	16	35.62286	"male"	FALSE	FALSE
6	3.258096	FALSE	6.461468	7.847763	TRUE	30.4	"fair"	9.090302	1.386294	16	36.62286	"male"	FALSE	FALSE
7	3.258096	FALSE	6.461468	7.847763	FALSE	13.73189	"good"	9.090302	1.386294	16	3.931554	"female"	TRUE	FALSE
6	3.258096	FALSE	6.461468	7.847763	FALSE	13.73189	"good"	9.090302	1.386294	16	4.931554	"female"	TRUE	FALSE
5	3.258096	FALSE	6.461468	7.847763	FALSE	13.73189	"good"	9.090302	1.386294	16	5.931554	"female"	TRUE	FALSE
2	3.258096	FALSE	6.461468	7.847763	FALSE	26.1	"excellent"	9.090302	1.386294	16	33.295	"female"	FALSE	FALSE
9	3.258096	FALSE	6.461468	7.847763	FALSE	26.1	"excellent"	9.090302	1.386294	16	34.295	"female"	FALSE	FALSE
4	3.258096	FALSE	6.461468	7.847763	FALSE	26.1	"excellent"	9.090302	1.386294	16	35.295	"female"	FALSE	FALSE
4	0	FALSE	5.111988	0	FALSE	13.73189	"good"	9.558075	0.6931472	13	52	"female"	FALSE	FALSE
4	0	FALSE	5.111988	0	FALSE	13.73189	"good"	9.558075	0.6931472	13	53	"female"	FALSE	FALSE
6	0	FALSE	5.111988	0	FALSE	13.73189	"good"	9.558075	0.6931472	13	54	"female"	FALSE	FALSE
2	0	FALSE	5.111988	0	FALSE	13.73189	"excellent"	9.558075	0.6931472	12	51.43327	"male"	FALSE	FALSE
1	0	FALSE	5.111988	0	FALSE	13.73189	"excellent"	9.558075	0.6931472	12	52.43327	"male"	FALSE	FALSE
5	0	FALSE	5.111988	0	FALSE	13.73189	"excellent"	9.558075	0.6931472	12	53.43327	"male"	FALSE	FALSE
5	0	FALSE	5.111988	0	FALSE	13.73189	"excellent"	8.974211	0	16	22.43669	"female"	FALSE	FALSE
5	0	FALSE	5.111988	0	FALSE	13.73189	"excellent"	8.974211	0	16	23.43669	"female"	FALSE	FALSE
3	0	FALSE	5.111988	0	FALSE	13.73189	"excellent"	8.974211	0	16	24.43669	"female"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	0	"excellent"	9.085254	1.386294	11	22.49966	"male"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	0	"excellent"	9.085254	1.386294	11	23.49966	"male"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	0	"excellent"	9.085254	1.386294	11	24.49966	"male"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	0	"excellent"	9.085254	1.386294	11	25.49966	"male"	FALSE	FALSE
0	3.258096	FALSE	6.214608	7.600903	FALSE	0	"excellent"	9.085254	1.386294	11	26.49966	"male"	FALSE	FALSE
8	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	3.909651	"male"	TRUE	FALSE
3	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	4.909651	"male"	TRUE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	5.909651	"male"	TRUE	FALSE
4	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	6.909651	"male"	TRUE	FALSE
1	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	7.909651	"male"	TRUE	FALSE
10	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	1.629021	"female"	TRUE	FALSE
6	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	2.629021	"female"	TRUE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	3.629021	"female"	TRUE	FALSE
1	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	4.629021	"female"	TRUE	FALSE
2	3.258096	FALSE	6.214608	7.600903	FALSE	13.73189	"excellent"	9.085254	1.386294	12	5.629021	"female"	TRUE	FALSE
6	3.258096	FALSE	6.214608	7.600903	FALSE	26.1	"excellent"	9.085254	1.386294	12	21.95756	"female"	FALSE	FALSE
1	3.258096	FALSE	6.214608	7.600903	FALSE	26.1	"excellent"	9.085254	1.386294	12	22.95756	"female"	FALSE	FALSE
4	3.258096	FALSE	6.214608	7.600903	FALSE	26.1	"excellent"	9.085254	1.386294	12	23.95756	"female"	FALSE	FALSE
1	3.258096	FALSE	6.214608	7.600903	FALSE	26.1	"excellent"	9.085254	1.386294	12	24.95756	"female"	FALSE	FALSE
1	3.258096	FALSE	6.214608	7.600903	FALSE	26.1	"excellent"	9.085254	1.386294	12	25.95756	"female"	FALSE	FALSE
0	0	TRUE	6.39693	0	FALSE	26.1	"good"	8.961801	0.6931472	12	56.5065	"female"	FALSE	FALSE
4	0	TRUE	6.39693	0	FALSE	26.1	"good"	8.961801	0.6931472	12	57.5065	"female"	FALSE	FALSE
0	0	TRUE	6.39693	0	FALSE	26.1	"good"	8.961801	0.6931472	12	58.5065	"female"	FALSE	FALSE
0	0	TRUE	6.39693	0	FALSE	26.1	"good"	8.961801	0.6931472	12	59.5065	"female"	FALSE	FALSE
2	0	TRUE	6.39693	0	FALSE	26.1	"good"	8.961801	0.6931472	12	60.5065	"female"	FALSE	FALSE
4	0	TRUE	6.39693	0	FALSE	4.3	"excellent"	8.961801	0.6931472	11	56.61876	"male"	FALSE	FALSE
1	0	TRUE	6.39693	0	FALSE	4.3	"excellent"	8.961801	0.6931472	11	57.61876	"male"	FALSE	FALSE
0	0	TRUE	6.39693	0	FALSE	4.3	"excellent"	8.961801	0.6931472	11	58.61876	"male"	FALSE	FALSE
1	0	TRUE	6.39693	0	FALSE	4.3	"excellent"	8.961801	0.6931472	11	59.61876	"male"	FALSE	FALSE
7	0	TRUE	6.39693	0	FALSE	4.3	"excellent"	8.961801	0.6931472	11	60.61876	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	10.31348	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	11.31348	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	12.31348	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	13.31348	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	14.31348	"female"	TRUE	FALSE
5	0	TRUE	0	0	FALSE	17.4	"good"	9.256801	2.079442	11	39.59206	"female"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	17.4	"good"	9.256801	2.079442	11	40.59206	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	9.256801	2.079442	11	41.59206	"female"	FALSE	FALSE
9	0	TRUE	0	0	FALSE	17.4	"good"	9.256801	2.079442	11	42.59206	"female"	FALSE	FALSE
9	0	TRUE	0	0	FALSE	17.4	"good"	9.256801	2.079442	11	43.59206	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	9	18.88296	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	9	19.88296	"male"	FALSE	FALSE
5	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	9	20.88296	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	9	21.88296	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	9	22.88296	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	4	40.93361	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	4	41.93361	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	4	42.93361	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	4	43.93361	"male"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	4	44.93361	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13	"excellent"	9.256801	2.079442	11	16.18891	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13	"excellent"	9.256801	2.079442	11	17.18891	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13	"excellent"	9.256801	2.079442	11	18.18891	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13	"excellent"	9.256801	2.079442	11	19.18891	"female"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	13	"excellent"	9.256801	2.079442	11	20.18891	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	12.73922	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	13.73922	"male"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	14.73922	"male"	TRUE	FALSE
6	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	15.73922	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.256801	2.079442	11	16.73922	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	11	17.51951	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	11	18.51951	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	11	19.51951	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	11	20.51951	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	8.7	"excellent"	9.256801	2.079442	11	21.51951	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	26.1	"good"	8.995046	0	13	60.58316	"female"	FALSE	FALSE
38	0	FALSE	0	0	FALSE	26.1	"good"	8.995046	0	13	61.58316	"female"	FALSE	FALSE
22	0	FALSE	0	0	FALSE	26.1	"good"	8.995046	0	13	62.58316	"female"	FALSE	FALSE
6	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	2.079442	12	13.7577	"female"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	14.7577	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	15.7577	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	16.7577	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	17.7577	"female"	TRUE	FALSE
4	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	2.079442	12	16.30938	"male"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	17.30938	"male"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	18.30938	"male"	FALSE	FALSE
3	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	19.30938	"male"	FALSE	FALSE
5	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	20.30938	"male"	FALSE	FALSE
5	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	2.079442	12	17.25667	"male"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	18.25667	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	19.25667	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	20.25667	"male"	FALSE	FALSE
0	0	FALSE	4.094345	0	FALSE	0	"excellent"	9.249968	1.94591	12	21.25667	"male"	FALSE	FALSE
6	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.249968	2.079442	17	41.25941	"male"	FALSE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	2.079442	12	6.485969	"female"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	7.485969	"female"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	8.485969	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	9.485969	"female"	TRUE	FALSE
6	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	10.48597	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	2.079442	12	10.9514	"female"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	11.9514	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	12.9514	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	13.9514	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	14.9514	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	2.079442	12	5.045859	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	6.045859	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	7.045859	"female"	TRUE	FALSE
4	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	8.045859	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.249968	1.94591	12	9.045859	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.249968	2.079442	12	42.16564	"female"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.249968	1.94591	12	43.16564	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.249968	1.94591	12	44.16564	"female"	FALSE	FALSE
2	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.249968	1.94591	12	45.16564	"female"	FALSE	FALSE
5	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.249968	1.94591	12	46.16564	"female"	FALSE	FALSE
14	0	TRUE	5.703783	0	FALSE	21.7	"good"	9.040762	0.6931472	11	38.84737	"male"	FALSE	FALSE
4	0	TRUE	5.703783	0	FALSE	21.7	"good"	9.040762	0.6931472	11	39.84737	"male"	FALSE	FALSE
11	0	TRUE	5.703783	0	FALSE	21.7	"good"	9.040762	0.6931472	11	40.84737	"male"	FALSE	FALSE
13	0	TRUE	5.703783	0	FALSE	21.7	"good"	9.040762	0.6931472	11	41.84737	"male"	FALSE	FALSE
12	0	TRUE	5.703783	0	FALSE	21.7	"good"	9.040762	0.6931472	11	42.84737	"male"	FALSE	FALSE
24	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.040762	0.6931472	12	42.18207	"female"	FALSE	FALSE
12	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.040762	0.6931472	12	43.18207	"female"	FALSE	FALSE
18	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.040762	0.6931472	12	44.18207	"female"	FALSE	FALSE
19	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.040762	0.6931472	12	45.18207	"female"	FALSE	FALSE
18	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.040762	0.6931472	12	46.18207	"female"	FALSE	FALSE
5	3.931826	FALSE	0	0	TRUE	30.4	"good"	8.238668	0	12	58.65572	"female"	FALSE	FALSE
23	3.931826	FALSE	0	0	TRUE	30.4	"good"	8.238668	0	12	59.65572	"female"	FALSE	FALSE
0	3.931826	FALSE	0	0	TRUE	30.4	"good"	8.238668	0	12	60.65572	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	TRUE	34.8	"good"	8.147964	0	13	26.43942	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	TRUE	34.8	"good"	8.147964	0	13	27.43942	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	TRUE	34.8	"good"	8.147964	0	13	28.43942	"male"	FALSE	FALSE
6	0	TRUE	5.924256	0	FALSE	13.73189	"good"	8.89461	1.386294	12	28.61054	"female"	FALSE	FALSE
1	0	TRUE	5.924256	0	FALSE	13.73189	"good"	8.89461	1.386294	12	29.61054	"female"	FALSE	FALSE
0	0	TRUE	5.924256	0	FALSE	13.73189	"good"	8.89461	1.386294	12	30.61054	"female"	FALSE	FALSE
0	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	16	29.08419	"male"	FALSE	FALSE
0	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	16	30.08419	"male"	FALSE	FALSE
0	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	16	31.08419	"male"	FALSE	FALSE
3	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	12	1.609856	"male"	TRUE	FALSE
3	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	12	2.609856	"male"	TRUE	FALSE
3	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	12	3.609856	"male"	TRUE	FALSE
2	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	12	4.191649	"male"	TRUE	FALSE
1	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	12	5.191649	"male"	TRUE	FALSE
1	0	TRUE	5.924256	0	FALSE	13.73189	"excellent"	8.89461	1.386294	12	6.191649	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	21.7	"poor"	8.403195	0	16	56.08487	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	21.7	"poor"	8.403195	0	16	57.08487	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	21.7	"poor"	8.403195	0	16	58.08487	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	21.7	"poor"	8.403195	0	16	59.08487	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	21.7	"poor"	8.403195	0	16	60.08487	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	13	"good"	8.532291	0.6931472	13	21.22108	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	13	"good"	8.532291	0.6931472	13	22.22108	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13	"good"	8.532291	0.6931472	13	23.22108	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13	"good"	8.532291	1.098612	13	24.22108	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13	"good"	8.532291	1.098612	13	25.22108	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	8.532291	0.6931472	12	23.34839	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	8.532291	0.6931472	12	24.34839	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	8.532291	0.6931472	12	25.34839	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	8.532291	1.098612	12	26.34839	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	8.532291	1.098612	12	27.34839	"male"	FALSE	FALSE
13	0	TRUE	6.331502	0	TRUE	13.73189	"good"	7.818475	0	11	56.53114	"female"	FALSE	FALSE
0	0	TRUE	6.331502	0	TRUE	13.73189	"good"	7.818475	0	11	57.53114	"female"	FALSE	FALSE
7	0	TRUE	6.331502	0	TRUE	13.73189	"good"	7.818475	0	11	58.53114	"female"	FALSE	FALSE
12	0	TRUE	6.331502	0	TRUE	13.73189	"good"	7.818475	0	11	59.53114	"female"	FALSE	FALSE
15	0	TRUE	6.331502	0	TRUE	13.73189	"good"	7.818475	0	11	60.53114	"female"	FALSE	FALSE
0	0	TRUE	5.402678	0	TRUE	13	"good"	8.211418	0	12	55.59753	"female"	FALSE	FALSE
0	0	TRUE	5.402678	0	TRUE	13	"good"	8.211418	0	12	56.59753	"female"	FALSE	FALSE
1	0	TRUE	5.402678	0	TRUE	13	"good"	8.211418	0	12	57.59753	"female"	FALSE	FALSE
4	0	TRUE	5.402678	0	TRUE	13	"good"	8.211418	0	12	58.59753	"female"	FALSE	FALSE
3	0	TRUE	5.402678	0	TRUE	13	"good"	8.211418	0	12	59.59753	"female"	FALSE	FALSE
2	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	1.098612	12	14.67488	"female"	TRUE	FALSE
3	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	1.098612	12	37.20192	"female"	FALSE	FALSE
11	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	38.20192	"female"	FALSE	FALSE
3	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	39.20192	"female"	FALSE	FALSE
0	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	40.20192	"female"	FALSE	FALSE
4	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	41.20192	"female"	FALSE	FALSE
8	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	1.098612	12	16.08487	"female"	TRUE	FALSE
1	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	17.08487	"female"	TRUE	FALSE
1	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	18.08487	"female"	FALSE	FALSE
0	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	19.08487	"female"	FALSE	FALSE
1	0	TRUE	6.618739	0	FALSE	13.73189	"good"	8.625348	0.6931472	12	20.08487	"female"	FALSE	FALSE
2	3.931826	FALSE	5.963579	6.656726	FALSE	13	"excellent"	8.548054	0	15	51.30458	"female"	FALSE	FALSE
1	3.931826	FALSE	5.963579	6.656726	FALSE	13	"excellent"	8.548054	0	15	52.30458	"female"	FALSE	FALSE
1	3.931826	FALSE	5.963579	6.656726	FALSE	13	"excellent"	8.548054	0	15	53.30458	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499621	0	16	23.44148	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499621	0	16	24.44148	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499621	0	16	25.44148	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.650408	2.302585	12.32507	18.00958	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	4.3	"excellent"	9.650408	2.302585	12	16.33402	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	9.650408	2.079442	12	17.33402	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.650408	2.079442	12	18.33402	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.650408	2.079442	12	19.33402	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.650408	2.079442	12	20.33402	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13	"excellent"	9.650408	2.302585	12	14.9514	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	13	"excellent"	9.650408	2.079442	12	15.9514	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13	"excellent"	9.650408	2.079442	12	16.9514	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13	"excellent"	9.650408	2.079442	12	17.9514	"male"	TRUE	FALSE
14	0	FALSE	0	0	FALSE	13	"excellent"	9.650408	2.079442	12	18.9514	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.302585	12	11.41136	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	12.41136	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	13.41136	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	14.41136	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	15.41136	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.302585	12	13.37988	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	14.37988	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	15.37988	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	16.37988	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	17.37988	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	26.1	"excellent"	9.650408	2.302585	12	43.93977	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	26.1	"excellent"	9.650408	2.079442	12	44.93977	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	26.1	"excellent"	9.650408	2.079442	12	45.93977	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	26.1	"excellent"	9.650408	2.079442	12	46.93977	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	26.1	"excellent"	9.650408	2.079442	12	47.93977	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	21.7	"excellent"	9.650408	2.302585	12	46.24504	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	21.7	"excellent"	9.650408	2.079442	12	47.24504	"male"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	21.7	"excellent"	9.650408	2.079442	12	48.24504	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	21.7	"excellent"	9.650408	2.079442	12	49.24504	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	21.7	"excellent"	9.650408	2.079442	12	50.24504	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.302585	12	3.915127	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	4.915127	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	5.915127	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	6.915127	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	7.915127	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13	"excellent"	9.650408	2.302585	13	19.70157	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.302585	12	0.881588	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	1.881588	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	2.881588	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	3.881588	"female"	TRUE	FALSE
51	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.650408	2.079442	12	4.881588	"female"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.609438	14	6.773443	"male"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.609438	14	7.773443	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.609438	14	8.773443	"male"	TRUE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.386294	14	9.773443	"male"	TRUE	FALSE
23	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.386294	14	10.77344	"male"	TRUE	FALSE
23	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	7.971704	1.609438	14	41.39631	"male"	FALSE	FALSE
12	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	7.971704	1.609438	14	42.39631	"male"	FALSE	FALSE
17	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	7.971704	1.609438	14	43.39631	"male"	FALSE	FALSE
11	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	7.971704	1.386294	14	44.39631	"male"	FALSE	FALSE
13	0	TRUE	6.907755	0	FALSE	21.7	"excellent"	7.971704	1.386294	14	45.39631	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"good"	7.971704	1.609438	14	36.58316	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"good"	7.971704	1.609438	14	37.58316	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13	"good"	7.971704	1.609438	14	38.58316	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	13	"good"	7.971704	1.386294	14	39.58316	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"good"	7.971704	1.386294	14	40.58316	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.609438	14	11.66324	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.609438	14	12.66324	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.609438	14	13.66324	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.386294	14	14.66324	"male"	TRUE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	7.971704	1.386294	14	15.66324	"male"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	7.971704	1.609438	14	14.59822	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	7.971704	1.609438	14	15.59822	"male"	TRUE	FALSE
5	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	7.971704	1.609438	14	16.59822	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.603822	1.386294	14	42.91034	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.603822	1.386294	14	43.91034	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.603822	1.386294	14	44.91034	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.603822	1.386294	14	45.91034	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.603822	1.386294	14	46.91034	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.603822	1.386294	15	17.10062	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.603822	1.386294	15	18.10062	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.603822	1.386294	15	19.10062	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.603822	1.386294	15	20.10062	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.603822	1.386294	15	21.10062	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.603822	1.386294	15	7.244353	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.603822	1.386294	15	8.244353	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.603822	1.386294	15	9.244353	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.603822	1.386294	15	10.24435	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.603822	1.386294	15	11.24435	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.603822	1.386294	15	42.61191	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.603822	1.386294	15	43.61191	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.603822	1.386294	15	44.61191	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.603822	1.386294	15	45.61191	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.603822	1.386294	15	46.61191	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	16	44.71458	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	16	45.71458	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	16	46.71458	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	16	47.71458	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	16	48.71458	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	17.31143	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	18.31143	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	19.31143	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	20.31143	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	21.31143	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	15.33744	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	16.33744	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	17.33744	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	18.33744	"male"	FALSE	FALSE
33	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	19.33744	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	44.18617	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	45.18617	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	46.18617	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	47.18617	"female"	FALSE	FALSE
10	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	48.18617	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	14.46133	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	15.46133	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	16.46133	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	17.46133	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.149442	1.609438	12	18.46133	"female"	FALSE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	13.45927	"male"	TRUE	FALSE
2	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	14.45927	"male"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	15.45927	"male"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	11.54552	"male"	TRUE	FALSE
4	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	12.54552	"male"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	13.54552	"male"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	14.51608	"male"	TRUE	FALSE
1	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	15.51608	"male"	TRUE	FALSE
1	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	16.51608	"male"	TRUE	FALSE
1	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	6.55989	"female"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	7.55989	"female"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	8.559891	"female"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	10.0835	"female"	TRUE	FALSE
1	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	11.0835	"female"	TRUE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	12.0835	"female"	TRUE	FALSE
3	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	32.64887	"female"	FALSE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	33.64887	"female"	FALSE	FALSE
1	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	34.64887	"female"	FALSE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	41.00479	"male"	FALSE	FALSE
1	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	42.00479	"male"	FALSE	FALSE
0	3.258096	FALSE	6.244167	7.630461	FALSE	13.73189	"good"	9.109972	1.94591	12	43.00479	"male"	FALSE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	8.287475	"male"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	9.287475	"male"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	10.28747	"male"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	7.074606	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	8.074607	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	9.074607	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	9.166325	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	10.16632	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	11.16632	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	0	"good"	9.163564	1.791759	10	27.91239	"female"	FALSE	FALSE
0	0	TRUE	5.645447	0	FALSE	0	"good"	9.163564	1.791759	10	28.91239	"female"	FALSE	FALSE
0	0	TRUE	5.645447	0	FALSE	0	"good"	9.163564	1.791759	10	29.91239	"female"	FALSE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	4.43258	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	5.43258	"female"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"good"	9.163564	1.791759	10	6.43258	"female"	TRUE	FALSE
2	3.931826	FALSE	6.309918	7.003066	TRUE	17.4	"poor"	9.163564	0	15	25.28131	"male"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	TRUE	17.4	"poor"	9.163564	0	15	26.28131	"male"	FALSE	FALSE
0	3.931826	FALSE	6.633318	7.326466	FALSE	4.3	"good"	7.329876	0	14	22.71321	"male"	FALSE	FALSE
3	3.931826	FALSE	6.633318	7.326466	FALSE	4.3	"good"	7.329876	0	14	23.71321	"male"	FALSE	FALSE
0	3.931826	FALSE	6.633318	7.326466	FALSE	4.3	"good"	7.329876	0	14	24.71321	"male"	FALSE	FALSE
0	3.931826	FALSE	6.633318	7.326466	FALSE	4.3	"good"	7.329876	0	14	25.71321	"male"	FALSE	FALSE
5	3.931826	FALSE	6.633318	7.326466	FALSE	4.3	"good"	7.329876	0	14	26.71321	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	13.73189	"excellent"	8.949154	1.386294	8	25.62354	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	13.73189	"excellent"	8.949154	1.386294	8	26.62354	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	13.73189	"excellent"	8.949154	1.386294	8	27.62354	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	8	5.587954	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	8	6.587954	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	8	7.587954	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	8	4.388775	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	8	5.388775	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	8	6.388775	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	11	29.94935	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	11	30.94935	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.949154	1.386294	11	31.94935	"male"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	0	"excellent"	8.24553	1.386294	3	36.846	"male"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	0	"excellent"	8.24553	1.386294	3	37.846	"male"	FALSE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	0	"excellent"	8.24553	1.386294	3	38.846	"male"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.24553	1.386294	7	8.64887	"male"	TRUE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.24553	1.386294	7	9.64887	"male"	TRUE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.24553	1.386294	7	10.64887	"male"	TRUE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	4.3	"excellent"	8.24553	1.386294	7	24.06297	"female"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	4.3	"excellent"	8.24553	1.386294	7	25.06297	"female"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	4.3	"excellent"	8.24553	1.386294	7	26.06297	"female"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.24553	1.386294	7	9.500342	"female"	TRUE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.24553	1.386294	7	10.50034	"female"	TRUE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.24553	1.386294	7	11.50034	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	13.39357	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	14.39357	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	15.39357	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	16.39357	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	17.39357	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	4.3	"excellent"	9.175665	1.609438	12	15.04449	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.175665	1.609438	12	16.04449	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	9.175665	1.609438	12	17.04449	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	4.3	"excellent"	9.175665	1.609438	12	18.04449	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	9.175665	1.609438	12	19.04449	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	0	"excellent"	9.175665	1.609438	7	39.80835	"male"	FALSE	FALSE
17	0	FALSE	0	0	FALSE	0	"excellent"	9.175665	1.609438	7	40.80835	"male"	FALSE	FALSE
31	0	FALSE	0	0	FALSE	0	"excellent"	9.175665	1.609438	7	41.80835	"male"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	0	"excellent"	9.175665	1.609438	7	42.80835	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	0	"excellent"	9.175665	1.609438	7	43.80835	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	6.220397	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	7.220397	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	8.220397	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	9.220397	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.175665	1.609438	12	10.2204	"male"	TRUE	FALSE
15	0	FALSE	0	0	FALSE	13	"excellent"	9.175665	1.609438	12	34.05886	"female"	FALSE	FALSE
28	0	FALSE	0	0	FALSE	13	"excellent"	9.175665	1.609438	12	35.05886	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	13	"excellent"	9.175665	1.609438	12	36.05886	"female"	FALSE	FALSE
20	0	FALSE	0	0	FALSE	13	"excellent"	9.175665	1.609438	12	37.05886	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	13	"excellent"	9.175665	1.609438	12	38.05886	"female"	FALSE	FALSE
6	3.931826	FALSE	0	6.527958	FALSE	13.73189	"excellent"	7.712771	0.6931472	10	46.56263	"female"	FALSE	FALSE
2	3.931826	FALSE	0	6.527958	FALSE	13.73189	"excellent"	7.712771	0.6931472	10	47.56263	"female"	FALSE	FALSE
3	3.931826	FALSE	0	6.527958	FALSE	13.73189	"excellent"	7.712771	0.6931472	10	48.56263	"female"	FALSE	FALSE
1	3.931826	FALSE	0	6.527958	FALSE	13.73189	"excellent"	7.712771	0.6931472	10	11.92608	"male"	TRUE	FALSE
0	3.931826	FALSE	0	6.527958	FALSE	13.73189	"excellent"	7.712771	0.6931472	10	12.92608	"male"	TRUE	FALSE
1	3.931826	FALSE	0	6.527958	FALSE	13.73189	"excellent"	7.712771	0.6931472	10	13.92608	"male"	TRUE	FALSE
1	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	16.15606	"male"	TRUE	FALSE
0	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	17.15606	"male"	TRUE	FALSE
2	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	18.15606	"male"	FALSE	FALSE
0	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	19.15606	"male"	FALSE	FALSE
0	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	20.15606	"male"	FALSE	FALSE
0	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	52.89801	"male"	FALSE	FALSE
0	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	53.89801	"male"	FALSE	FALSE
1	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	54.89801	"male"	FALSE	FALSE
1	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	55.89801	"male"	FALSE	FALSE
0	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"excellent"	9.163564	1.098612	12	56.89801	"male"	FALSE	FALSE
2	3.931826	FALSE	5.81413	6.507277	FALSE	13.73189	"excellent"	9.163564	0	14	21.61533	"female"	FALSE	FALSE
0	3.931826	FALSE	5.81413	6.507277	FALSE	13.73189	"excellent"	9.163564	0	14	22.61533	"female"	FALSE	FALSE
4	3.931826	FALSE	5.81413	6.507277	FALSE	13.73189	"excellent"	9.163564	0	14	23.61533	"female"	FALSE	FALSE
1	3.931826	FALSE	5.81413	6.507277	FALSE	13.73189	"excellent"	9.163564	0	14	24.61533	"female"	FALSE	FALSE
1	3.931826	FALSE	5.81413	6.507277	FALSE	13.73189	"excellent"	9.163564	0	14	25.61533	"female"	FALSE	FALSE
4	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"good"	9.163564	1.098612	12	47.87406	"female"	FALSE	FALSE
1	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"good"	9.163564	1.098612	12	48.87406	"female"	FALSE	FALSE
1	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"good"	9.163564	1.098612	12	49.87406	"female"	FALSE	FALSE
1	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"good"	9.163564	1.098612	12	50.87406	"female"	FALSE	FALSE
1	3.931826	FALSE	6.028278	6.721426	FALSE	13.73189	"good"	9.163564	1.098612	12	51.87406	"female"	FALSE	FALSE
1	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	6.105407	"female"	TRUE	FALSE
2	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	7.105407	"female"	TRUE	FALSE
5	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	8.105408	"female"	TRUE	FALSE
8	0	FALSE	4.174387	0	FALSE	13.73189	"good"	9.542131	1.609438	21	45.1143	"male"	FALSE	FALSE
3	0	FALSE	4.174387	0	FALSE	13.73189	"good"	9.542131	1.609438	21	46.1143	"male"	FALSE	FALSE
4	0	FALSE	4.174387	0	FALSE	13.73189	"good"	9.542131	1.609438	21	47.1143	"male"	FALSE	FALSE
5	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	30.17112	"female"	FALSE	FALSE
11	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	31.17112	"female"	FALSE	FALSE
7	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	32.17112	"female"	FALSE	FALSE
1	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	7.148529	"female"	TRUE	FALSE
0	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	8.148528	"female"	TRUE	FALSE
2	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	9.148528	"female"	TRUE	FALSE
6	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	1.566051	"female"	TRUE	FALSE
5	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	2.566051	"female"	TRUE	FALSE
12	0	FALSE	4.174387	0	FALSE	13.73189	"excellent"	9.542131	1.609438	12	3.566051	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	4.3	"excellent"	9.344727	1.386294	16	17.36345	"male"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	4.3	"excellent"	9.344727	1.386294	16	18.36345	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	4.3	"excellent"	9.344727	1.386294	16	19.36345	"male"	FALSE	FALSE
0	0	FALSE	4.094345	0	FALSE	4.3	"excellent"	9.344727	1.386294	16	20.36345	"male"	FALSE	FALSE
5	0	FALSE	4.094345	0	FALSE	4.3	"excellent"	9.344727	1.386294	16	21.36345	"male"	FALSE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.344727	1.386294	16	12.5859	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.344727	1.386294	16	13.5859	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.344727	1.386294	16	14.5859	"female"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.344727	1.386294	16	15.5859	"female"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.344727	1.386294	16	16.5859	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	8.7	"excellent"	9.344727	1.386294	16	14.5462	"male"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	8.7	"excellent"	9.344727	1.386294	16	15.5462	"male"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	8.7	"excellent"	9.344727	1.386294	16	16.5462	"male"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	8.7	"excellent"	9.344727	1.386294	16	17.5462	"male"	TRUE	FALSE
0	0	FALSE	4.094345	0	FALSE	8.7	"excellent"	9.344727	1.386294	16	18.5462	"male"	FALSE	FALSE
6	0	FALSE	4.094345	0	TRUE	13	"excellent"	9.344727	1.386294	16	40.88159	"female"	FALSE	FALSE
3	0	FALSE	4.094345	0	TRUE	13	"excellent"	9.344727	1.386294	16	41.88159	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	TRUE	13	"excellent"	9.344727	1.386294	16	42.88159	"female"	FALSE	FALSE
2	0	FALSE	4.094345	0	TRUE	13	"excellent"	9.344727	1.386294	16	43.88159	"female"	FALSE	FALSE
1	0	FALSE	4.094345	0	TRUE	13	"excellent"	9.344727	1.386294	16	44.88159	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	8.975389	0.6931472	9	57.11978	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	8.975389	0.6931472	9	58.11978	"male"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	8.975389	0.6931472	9	59.11978	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.975389	0.6931472	11	53.74675	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.975389	0.6931472	11	54.74675	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	8.975389	0.6931472	11	55.74675	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	21.7	"fair"	8.827867	0.6931472	10	52.74469	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	21.7	"fair"	8.827867	0.6931472	10	53.74469	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	21.7	"fair"	8.827867	0.6931472	10	54.74469	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	47.8	"fair"	8.827867	0.6931472	11	52.90623	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	47.8	"fair"	8.827867	0.6931472	11	53.90623	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	47.8	"fair"	8.827867	0.6931472	11	54.90623	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.176756	1.609438	13	40.4846	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.176756	1.609438	13	41.4846	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.176756	1.609438	13	42.4846	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.176756	1.609438	13	43.4846	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.176756	1.609438	13	44.4846	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	7.422314	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	8.422314	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	9.422314	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	10.42231	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	11.42231	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	12.29295	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	13.29295	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	14.29295	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	15.29295	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.176756	1.609438	13	16.29295	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"fair"	9.176756	1.609438	13	38.16564	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"fair"	9.176756	1.609438	13	39.16564	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"fair"	9.176756	1.609438	13	40.16564	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"fair"	9.176756	1.609438	13	41.16564	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"fair"	9.176756	1.609438	13	42.16564	"female"	FALSE	FALSE
34	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"good"	9.176756	1.609438	13	14.28884	"female"	TRUE	FALSE
24	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"good"	9.176756	1.609438	13	15.28884	"female"	TRUE	FALSE
28	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"good"	9.176756	1.609438	13	16.28884	"female"	TRUE	FALSE
22	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"good"	9.176756	1.609438	13	17.28884	"female"	TRUE	FALSE
24	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"good"	9.176756	1.609438	13	18.28884	"female"	FALSE	FALSE
1	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	5.193703	"female"	TRUE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	6.193703	"female"	TRUE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	7.193703	"female"	TRUE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12.32507	18.14374	"male"	FALSE	FALSE
1	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12.32507	19.14374	"male"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12.32507	20.14374	"male"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	50.19849	"female"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	51.19849	"female"	FALSE	FALSE
2	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	52.19849	"female"	FALSE	FALSE
3	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	24.3039	"female"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	25.3039	"female"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	12	26.3039	"female"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	10	49.90281	"male"	FALSE	FALSE
0	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	10	50.90281	"male"	FALSE	FALSE
8	0	TRUE	6.109248	0	FALSE	13.73189	"excellent"	9.286687	1.609438	10	51.90281	"male"	FALSE	FALSE
0	0	TRUE	5.135798	0	FALSE	17.4	"fair"	8.335608	0	12	57.92471	"male"	FALSE	FALSE
3	0	TRUE	5.135798	0	FALSE	17.4	"fair"	8.335608	0	12	58.92471	"male"	FALSE	FALSE
2	0	TRUE	5.135798	0	FALSE	17.4	"fair"	8.335608	0	12	59.92471	"male"	FALSE	FALSE
0	0	TRUE	5.135798	0	FALSE	17.4	"fair"	8.335608	0	12	60.92471	"male"	FALSE	FALSE
4	0	TRUE	5.135798	0	FALSE	17.4	"fair"	8.335608	0	12	61.92471	"male"	FALSE	FALSE
0	3.258096	FALSE	0	0	TRUE	30.4	"fair"	7.083444	0	3	53.73032	"female"	FALSE	FALSE
0	3.258096	FALSE	0	0	TRUE	30.4	"fair"	7.083444	0	3	54.73032	"female"	FALSE	FALSE
0	3.258096	FALSE	0	0	TRUE	30.4	"fair"	7.083444	0	3	55.73032	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"fair"	8.858052	1.386294	9	3.879534	"female"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"fair"	8.858052	1.386294	9	4.879535	"female"	TRUE	FALSE
4	0	TRUE	0	0	FALSE	13.73189	"fair"	8.858052	1.386294	9	5.879535	"female"	TRUE	FALSE
4	0	TRUE	0	0	FALSE	13.73189	"fair"	8.858052	1.386294	9	6.879535	"female"	TRUE	FALSE
5	0	TRUE	0	0	FALSE	13.73189	"fair"	8.858052	1.386294	9	7.879535	"female"	TRUE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"good"	8.858052	1.386294	10	27.0527	"male"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"good"	8.858052	1.386294	10	28.0527	"male"	FALSE	FALSE
1	0	TRUE	0	0	TRUE	13.73189	"good"	8.858052	1.386294	10	29.0527	"male"	FALSE	FALSE
1	0	TRUE	0	0	TRUE	13.73189	"good"	8.858052	1.386294	10	30.0527	"male"	FALSE	FALSE
1	0	TRUE	0	0	TRUE	13.73189	"good"	8.858052	1.386294	10	31.0527	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	2.767967	"female"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	3.767967	"female"	TRUE	FALSE
3	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	4.767967	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	5.767967	"female"	TRUE	FALSE
3	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	6.767967	"female"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	25.68652	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	26.68652	"female"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	27.68652	"female"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	28.68652	"female"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"good"	8.858052	1.386294	9	29.68652	"female"	FALSE	FALSE
2	3.258096	FALSE	5.83773	7.224025	FALSE	26.1	"good"	7.836553	0.6931472	12	20.85969	"male"	FALSE	FALSE
0	3.258096	FALSE	5.83773	7.224025	FALSE	26.1	"good"	7.836553	0	12	21.85969	"male"	FALSE	FALSE
0	3.258096	FALSE	5.83773	7.224025	FALSE	26.1	"good"	7.836553	0	12	22.85969	"male"	FALSE	FALSE
2	3.258096	FALSE	5.83773	7.224025	FALSE	26.1	"good"	7.836553	0	12	23.85969	"male"	FALSE	FALSE
26	3.258096	FALSE	5.83773	7.224025	FALSE	26.1	"good"	7.836553	0	12	24.85969	"male"	FALSE	FALSE
0	3.258096	FALSE	5.83773	7.224025	TRUE	17.4	"good"	7.836553	0.6931472	12	20.67351	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	6.485969	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	7.485969	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	8.485969	"male"	TRUE	FALSE
7	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	12	35.30458	"male"	FALSE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	12	36.30458	"male"	FALSE	FALSE
8	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	12	37.30458	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	34.63929	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	35.63929	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	36.63929	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	10.01506	"female"	TRUE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	11.01506	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.749022	1.386294	15	12.01506	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	4.3	"excellent"	8.985071	1.386294	12	14.22861	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	4.3	"excellent"	8.985071	1.386294	12	15.22861	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	4.3	"excellent"	8.985071	1.386294	12	16.22861	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.985071	1.386294	12	10.66119	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.985071	1.386294	12	11.66119	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.985071	1.386294	12	12.66119	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13	"excellent"	8.985071	1.386294	12	16.76386	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13	"excellent"	8.985071	1.386294	12	17.76386	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13	"excellent"	8.985071	1.386294	12	18.76386	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	26.1	"excellent"	8.985071	1.386294	12	45.88091	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	26.1	"excellent"	8.985071	1.386294	12	46.88091	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	26.1	"excellent"	8.985071	1.386294	12	47.88091	"female"	FALSE	FALSE
18	0	TRUE	6.907755	0	FALSE	0	"excellent"	8.941959	0.6931472	7	51.09925	"male"	FALSE	FALSE
21	0	TRUE	6.907755	0	FALSE	0	"excellent"	8.941959	0.6931472	7	52.09925	"male"	FALSE	FALSE
14	0	TRUE	6.907755	0	FALSE	0	"excellent"	8.941959	0.6931472	7	53.09925	"male"	FALSE	FALSE
10	0	TRUE	6.907755	0	FALSE	0	"excellent"	8.941959	0.6931472	7	54.09925	"male"	FALSE	FALSE
14	0	TRUE	6.907755	0	FALSE	0	"excellent"	8.941959	0.6931472	7	55.09925	"male"	FALSE	FALSE
11	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.941959	0.6931472	11	46.09446	"female"	FALSE	FALSE
8	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.941959	0.6931472	11	47.09446	"female"	FALSE	FALSE
16	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.941959	0.6931472	11	48.09446	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.941959	0.6931472	11	49.09446	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.941959	0.6931472	11	50.09446	"female"	FALSE	FALSE
0	0	TRUE	5.924256	0	FALSE	13	"excellent"	8.708942	0	12	20.10678	"male"	FALSE	FALSE
3	0	TRUE	5.924256	0	FALSE	13	"excellent"	8.708942	0	12	21.10678	"male"	FALSE	FALSE
0	0	TRUE	5.924256	0	FALSE	13	"excellent"	8.708942	0	12	22.10678	"male"	FALSE	FALSE
1	0	TRUE	5.924256	0	FALSE	13	"excellent"	8.708942	0	12	23.10678	"male"	FALSE	FALSE
0	0	TRUE	5.924256	0	FALSE	13	"excellent"	8.708942	0.6931472	12	24.10678	"male"	FALSE	FALSE
6	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	2.45859	"male"	TRUE	FALSE
5	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	3.45859	"male"	TRUE	FALSE
14	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	4.45859	"male"	TRUE	FALSE
2	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	11.19507	"male"	TRUE	FALSE
5	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	12.19507	"male"	TRUE	FALSE
5	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	13.19507	"male"	TRUE	FALSE
5	0	FALSE	5.673323	0	FALSE	34.8	"good"	9.296849	1.609438	9	32.24915	"female"	FALSE	FALSE
11	0	FALSE	5.673323	0	FALSE	34.8	"good"	9.296849	1.609438	9	33.24915	"female"	FALSE	FALSE
11	0	FALSE	5.673323	0	FALSE	34.8	"good"	9.296849	1.609438	9	34.24915	"female"	FALSE	FALSE
6	0	FALSE	5.673323	0	FALSE	17.4	"poor"	9.296849	1.609438	12	31.96441	"male"	FALSE	FALSE
11	0	FALSE	5.673323	0	FALSE	17.4	"poor"	9.296849	1.609438	12	32.96441	"male"	FALSE	FALSE
11	0	FALSE	5.673323	0	FALSE	17.4	"poor"	9.296849	1.609438	12	33.96441	"male"	FALSE	FALSE
3	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	10.11088	"female"	TRUE	FALSE
6	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	11.11088	"female"	TRUE	FALSE
2	0	FALSE	5.673323	0	FALSE	13.73189	"good"	9.296849	1.609438	9	12.11088	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.946088	1.386294	15	21.86995	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.946088	1.386294	15	22.86995	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.946088	1.386294	15	23.86995	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.946088	1.386294	12	17.16906	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.946088	1.386294	12	18.16906	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.946088	1.386294	12	19.16906	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.946088	1.386294	12	53.17728	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.946088	1.386294	12	54.17728	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	8.946088	1.386294	12	55.17728	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	8.946088	1.386294	12	53.577	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	8.946088	1.386294	12	54.577	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	8.946088	1.386294	12	55.577	"female"	FALSE	FALSE
10	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	11.06639	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	12.06639	"male"	TRUE	FALSE
13	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	13.06639	"male"	TRUE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	8.689939	"male"	TRUE	FALSE
7	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	9.689939	"male"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	10.68994	"male"	TRUE	FALSE
8	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.359744	1.609438	12	34.77618	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.359744	1.609438	12	35.77618	"male"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	17.4	"good"	9.359744	1.609438	12	36.77618	"male"	FALSE	FALSE
15	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.359744	1.609438	13	35.45517	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.359744	1.609438	13	36.45517	"female"	FALSE	FALSE
9	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.359744	1.609438	13	37.45517	"female"	FALSE	FALSE
22	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	12.72005	"female"	TRUE	FALSE
23	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	13.72005	"female"	TRUE	FALSE
13	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.359744	1.609438	13	14.72005	"female"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	15.91786	"male"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	16.91786	"male"	TRUE	FALSE
1	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	17.91786	"male"	TRUE	FALSE
1	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	18.91786	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	19.91786	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	17.71389	"male"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	18.71389	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	19.71389	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	20.71389	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	21.71389	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	47.63039	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	48.63039	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	49.63039	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	50.63039	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	51.63039	"male"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	9.270363	"male"	TRUE	FALSE
1	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	10.27036	"male"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	11.27036	"male"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	12.27036	"male"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	13.27036	"male"	TRUE	FALSE
1	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	47.85216	"female"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	48.85216	"female"	FALSE	FALSE
2	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	49.85216	"female"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	50.85216	"female"	FALSE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"good"	9.095117	1.791759	12	51.85216	"female"	FALSE	FALSE
1	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	14.77071	"female"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	15.77071	"female"	TRUE	FALSE
1	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	16.7707	"female"	TRUE	FALSE
3	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	17.7707	"female"	TRUE	FALSE
0	0	TRUE	6.436151	0	FALSE	13.73189	"excellent"	9.095117	1.791759	12	18.7707	"female"	FALSE	FALSE
2	0	TRUE	5.998937	0	FALSE	21.7	"good"	7.696554	0	13	48.90623	"female"	FALSE	FALSE
0	0	TRUE	5.998937	0	FALSE	21.7	"good"	7.696554	0	13	49.90623	"female"	FALSE	FALSE
0	0	TRUE	5.998937	0	FALSE	21.7	"good"	7.696554	0	13	50.90623	"female"	FALSE	FALSE
3	0	TRUE	5.998937	0	FALSE	21.7	"good"	7.696554	0	13	51.90623	"female"	FALSE	FALSE
2	0	TRUE	5.998937	0	FALSE	21.7	"good"	7.696554	0	13	52.90623	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	0.6872005	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	1.687201	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	2.687201	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	3.687201	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	4.687201	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	21.7	"good"	9.121632	1.386294	12	25.93566	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	21.7	"good"	9.121632	1.386294	12	26.93566	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	21.7	"good"	9.121632	1.386294	12	27.93566	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	21.7	"good"	9.121632	1.386294	12	28.93566	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	21.7	"good"	9.121632	1.386294	12	29.93566	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	4.982888	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	5.982888	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	6.982888	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	7.982888	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	9.121632	1.386294	12	8.982888	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"good"	9.121632	1.386294	14	26.34908	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	8.7	"good"	9.121632	1.386294	14	27.34908	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"good"	9.121632	1.386294	14	28.34908	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"good"	9.121632	1.386294	14	29.34908	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"good"	9.121632	1.386294	14	30.34908	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	39.54826	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	40.54826	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	41.54826	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.098612	12	42.54826	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.098612	12	43.54826	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	36.74469	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	37.74469	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	38.74469	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.098612	12	39.74469	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.098612	12	40.74469	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	3.367557	"male"	TRUE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	4.367557	"male"	TRUE	FALSE
10	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	5.367557	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.098612	12	6.367557	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.098612	12	7.367557	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	14.33812	"male"	TRUE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	15.33812	"male"	TRUE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.512126	1.386294	12	16.33813	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	7.375044	0.6931472	12	9.355236	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	7.375044	0.6931472	12	10.35524	"female"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	7.375044	0.6931472	12	11.35524	"female"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	7.375044	0.6931472	12	12.35524	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	7.375044	0.6931472	12	13.35524	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	7.375044	0.6931472	12	35.21971	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	7.375044	0.6931472	12	36.21971	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	7.375044	0.6931472	12	37.21971	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	7.375044	0.6931472	12	38.21971	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	7.375044	0.6931472	12	39.21971	"female"	FALSE	FALSE
0	3.258096	FALSE	6.327937	7.714231	FALSE	4.3	"good"	9.063148	1.386294	16	28.58864	"male"	FALSE	FALSE
0	3.258096	FALSE	6.327937	7.714231	FALSE	4.3	"good"	9.063148	1.386294	16	29.58864	"male"	FALSE	FALSE
0	3.258096	FALSE	6.327937	7.714231	FALSE	4.3	"good"	9.063148	1.386294	16	30.58864	"male"	FALSE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	4.3	"good"	9.063148	1.386294	16	31.58864	"male"	FALSE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	4.3	"good"	9.063148	1.386294	16	32.58864	"male"	FALSE	FALSE
4	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	1.582478	"male"	TRUE	FALSE
3	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	2.582478	"male"	TRUE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	3.582478	"male"	TRUE	FALSE
1	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	4.582478	"male"	TRUE	FALSE
6	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	5.582478	"male"	TRUE	FALSE
1	3.258096	FALSE	6.327937	7.714231	FALSE	8.7	"good"	9.063148	1.386294	12	27.45243	"female"	FALSE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	8.7	"good"	9.063148	1.386294	12	28.45243	"female"	FALSE	FALSE
1	3.258096	FALSE	6.327937	7.714231	FALSE	8.7	"good"	9.063148	1.386294	12	29.45243	"female"	FALSE	FALSE
1	3.258096	FALSE	6.327937	7.714231	FALSE	8.7	"good"	9.063148	1.386294	12	30.45243	"female"	FALSE	FALSE
1	3.258096	FALSE	6.327937	7.714231	FALSE	8.7	"good"	9.063148	1.386294	12	31.45243	"female"	FALSE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	4.635181	"female"	TRUE	FALSE
6	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	5.635181	"female"	TRUE	FALSE
4	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	6.635181	"female"	TRUE	FALSE
1	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	7.635181	"female"	TRUE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	13.73189	"good"	9.063148	1.386294	12	8.635181	"female"	TRUE	FALSE
6	0	TRUE	5.986452	0	FALSE	30.4	"good"	9.627916	0.6931472	12	48.29295	"female"	FALSE	FALSE
13	0	TRUE	5.986452	0	FALSE	30.4	"good"	9.627916	0.6931472	12	49.29295	"female"	FALSE	FALSE
19	0	TRUE	5.986452	0	FALSE	30.4	"good"	9.627916	0.6931472	12	50.29295	"female"	FALSE	FALSE
14	0	TRUE	5.986452	0	TRUE	26.1	"good"	9.627916	0.6931472	15	22.06708	"female"	FALSE	FALSE
30	0	TRUE	5.986452	0	TRUE	26.1	"good"	9.627916	0.6931472	15	23.06708	"female"	FALSE	FALSE
38	0	TRUE	5.986452	0	TRUE	26.1	"good"	9.627916	0.6931472	15	24.06708	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.980865	1.098612	13	24.49008	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.980865	1.098612	13	25.49008	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.980865	1.098612	13	26.49008	"female"	FALSE	FALSE
10	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.980865	1.098612	13	25.50856	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.980865	1.098612	13	26.50856	"male"	FALSE	FALSE
9	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.980865	1.098612	13	27.50856	"male"	FALSE	FALSE
11	3.258096	FALSE	6.620073	8.006368	FALSE	13.73189	"good"	8.374418	0	13	26.02875	"female"	FALSE	FALSE
18	3.258096	FALSE	6.620073	8.006368	FALSE	13.73189	"good"	8.374418	0	13	27.02875	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.73189	"good"	8.374418	0	13	28.02875	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.73189	"good"	8.374418	0	13	29.02875	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.73189	"good"	8.374418	0	13	30.02875	"female"	FALSE	FALSE
4	0	TRUE	6.448889	0	FALSE	8.7	"excellent"	9.124881	1.098612	12	17.77413	"male"	TRUE	FALSE
1	0	TRUE	6.448889	0	FALSE	8.7	"excellent"	9.124881	1.098612	12	18.77413	"male"	FALSE	FALSE
2	0	TRUE	6.448889	0	FALSE	8.7	"excellent"	9.124881	1.098612	12	19.77413	"male"	FALSE	FALSE
4	0	TRUE	6.448889	0	FALSE	8.7	"excellent"	9.124881	1.098612	13	53.68378	"male"	FALSE	FALSE
0	0	TRUE	6.448889	0	FALSE	8.7	"excellent"	9.124881	1.098612	13	54.68378	"male"	FALSE	FALSE
1	0	TRUE	6.448889	0	FALSE	8.7	"excellent"	9.124881	1.098612	13	55.68378	"male"	FALSE	FALSE
1	0	TRUE	6.448889	0	FALSE	17.4	"excellent"	9.124881	1.098612	12	51.95893	"female"	FALSE	FALSE
1	0	TRUE	6.448889	0	FALSE	17.4	"excellent"	9.124881	1.098612	12	52.95893	"female"	FALSE	FALSE
0	0	TRUE	6.448889	0	FALSE	17.4	"excellent"	9.124881	1.098612	12	53.95893	"female"	FALSE	FALSE
0	0	TRUE	4.356709	0	FALSE	13.73189	"excellent"	8.049945	0	12	22.38193	"female"	FALSE	FALSE
4	0	TRUE	4.356709	0	FALSE	13.73189	"excellent"	8.049945	0	12	23.38193	"female"	FALSE	FALSE
9	0	TRUE	4.356709	0	FALSE	13.73189	"excellent"	8.049945	0	12	24.38193	"female"	FALSE	FALSE
2	0	TRUE	4.356709	0	FALSE	13.73189	"excellent"	8.049945	0	12	25.38193	"female"	FALSE	FALSE
0	0	TRUE	4.356709	0	FALSE	13.73189	"excellent"	8.049945	0	12	26.38193	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.27441	0.6931472	12	45.97673	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.27441	0.6931472	12	46.97673	"female"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.27441	0.6931472	12	47.97673	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.27441	0.6931472	12	48.97673	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.27441	0.6931472	12	49.97673	"female"	FALSE	FALSE
15	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.27441	0.6931472	11	45.71937	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.27441	0.6931472	11	46.71937	"male"	FALSE	FALSE
16	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.27441	0.6931472	11	47.71937	"male"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.27441	0.6931472	11	48.71937	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.27441	0.6931472	11	49.71937	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	10.83915	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	11.83915	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	12.83915	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	2.757016	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	3.757016	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	4.757016	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	6.004107	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	7.004107	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	8.004107	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.587178	1.94591	16	40.69815	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.587178	1.94591	16	41.69815	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.587178	1.94591	16	42.69815	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.587178	1.94591	14	40.62149	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.587178	1.94591	14	41.62149	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"excellent"	9.587178	1.94591	14	42.62149	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	9.401779	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	10.40178	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.587178	1.94591	14	11.40178	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.587178	1.94591	14	14.89938	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.587178	1.94591	14	15.89938	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.587178	1.94591	14	16.89938	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.182449	0.6931472	12	26.0397	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.182449	1.098612	12	27.0397	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.182449	1.386294	12	28.0397	"female"	FALSE	FALSE
11	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.182449	1.386294	12	29.0397	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.182449	1.386294	12	30.0397	"female"	FALSE	FALSE
7	0	TRUE	6.907755	0	FALSE	13	"good"	9.182449	0.6931472	12	25.99315	"male"	FALSE	FALSE
6	0	TRUE	6.907755	0	FALSE	13	"good"	9.182449	1.098612	12	26.99315	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"good"	9.182449	1.386294	12	27.99315	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13	"good"	9.182449	1.386294	12	28.99315	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13	"good"	9.182449	1.386294	12	29.99315	"male"	FALSE	FALSE
5	0	TRUE	6.799056	0	FALSE	21.7	"fair"	8.865174	0.6931472	7	54.13005	"female"	FALSE	FALSE
8	0	TRUE	6.799056	0	FALSE	21.7	"fair"	8.865174	0.6931472	7	55.13005	"female"	FALSE	FALSE
6	0	TRUE	6.799056	0	FALSE	21.7	"fair"	8.865174	0.6931472	7	56.13005	"female"	FALSE	FALSE
9	0	TRUE	6.799056	0	FALSE	21.7	"fair"	8.865174	0.6931472	7	57.13005	"female"	FALSE	FALSE
4	0	TRUE	6.799056	0	FALSE	21.7	"fair"	8.865174	0.6931472	7	58.13005	"female"	FALSE	FALSE
1	0	TRUE	6.799056	0	TRUE	30.4	"fair"	8.865174	0.6931472	10	59.80014	"male"	FALSE	FALSE
0	0	TRUE	6.799056	0	TRUE	30.4	"fair"	8.865174	0.6931472	10	60.80014	"male"	FALSE	FALSE
0	0	TRUE	6.799056	0	TRUE	30.4	"fair"	8.865174	0.6931472	10	61.80014	"male"	FALSE	FALSE
0	0	TRUE	6.799056	0	TRUE	30.4	"fair"	8.865174	0.6931472	10	62.80014	"male"	FALSE	FALSE
0	0	TRUE	6.799056	0	TRUE	30.4	"fair"	8.865174	0.6931472	10	63.80014	"male"	FALSE	FALSE
1	0	TRUE	6.519147	0	FALSE	13	"good"	9.295197	0	10	52.2245	"female"	FALSE	FALSE
1	0	TRUE	6.519147	0	FALSE	13	"good"	9.295197	0	10	53.2245	"female"	FALSE	FALSE
0	0	TRUE	6.519147	0	FALSE	13	"good"	9.295197	0	10	54.2245	"female"	FALSE	FALSE
1	0	TRUE	6.519147	0	FALSE	13	"good"	9.295197	0	10	55.2245	"female"	FALSE	FALSE
0	0	TRUE	6.519147	0	FALSE	13	"good"	9.295197	0	10	56.2245	"female"	FALSE	FALSE
0	0	FALSE	5.509388	0	FALSE	21.7	"excellent"	9.059979	0	16	28.0794	"male"	FALSE	FALSE
1	0	FALSE	5.509388	0	FALSE	21.7	"excellent"	9.059979	0	16	29.0794	"male"	FALSE	FALSE
2	0	FALSE	5.509388	0	FALSE	21.7	"excellent"	9.059979	0	16	30.0794	"male"	FALSE	FALSE
1	0	FALSE	5.509388	0	FALSE	21.7	"excellent"	9.059979	0	16	31.0794	"male"	FALSE	FALSE
1	0	FALSE	5.509388	0	FALSE	21.7	"excellent"	9.059979	0	16	32.0794	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.163564	1.098612	13	22.37919	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.163564	1.098612	12	23.25257	"male"	FALSE	FALSE
9	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.163564	1.098612	13	1.650924	"female"	TRUE	FALSE
0	0	TRUE	5.703783	0	FALSE	30.4	"good"	9.163564	0.6931472	7	52.4846	"male"	FALSE	TRUE
2	0	TRUE	5.703783	0	FALSE	30.4	"good"	9.163564	0.6931472	7	53.4846	"male"	FALSE	TRUE
13	0	TRUE	5.703783	0	TRUE	26.1	"fair"	9.163564	0.6931472	9	46.8063	"female"	FALSE	TRUE
12	0	TRUE	5.703783	0	TRUE	26.1	"fair"	9.163564	0.6931472	9	47.8063	"female"	FALSE	TRUE
7	0	FALSE	0	0	FALSE	17.4	"good"	8.653818	1.098612	10	38.30527	"male"	FALSE	TRUE
11	0	FALSE	0	0	FALSE	17.4	"good"	8.653818	1.098612	10	39.30527	"male"	FALSE	TRUE
11	0	FALSE	0	0	FALSE	17.4	"good"	8.653818	1.098612	10	40.30527	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	30.4	"good"	8.653818	1.098612	10	41.85626	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	30.4	"good"	8.653818	1.098612	10	42.85626	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	30.4	"good"	8.653818	1.098612	10	43.85626	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	4.3	"excellent"	8.653818	1.098612	10	15.37851	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	4.3	"excellent"	8.653818	1.098612	10	16.37851	"male"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	4.3	"excellent"	8.653818	1.098612	10	17.37851	"male"	TRUE	TRUE
0	3.258096	FALSE	5.988961	7.375256	FALSE	4.3	"excellent"	9.297475	0	12	26.94319	"male"	FALSE	TRUE
0	3.258096	FALSE	5.988961	7.375256	FALSE	4.3	"excellent"	9.297475	0	12	27.94319	"male"	FALSE	TRUE
2	3.258096	FALSE	5.988961	7.375256	FALSE	4.3	"excellent"	9.297475	0.6931472	12	28.94319	"male"	FALSE	TRUE
1	3.258096	FALSE	5.988961	7.375256	FALSE	4.3	"excellent"	9.297475	0.6931472	12	29.94319	"male"	FALSE	TRUE
1	3.258096	FALSE	5.988961	7.375256	FALSE	4.3	"excellent"	9.297475	0.6931472	12	30.94319	"male"	FALSE	TRUE
0	0	TRUE	6.302619	0	FALSE	13.73189	"fair"	8.295074	0	10	52.83778	"female"	FALSE	FALSE
0	0	TRUE	6.302619	0	FALSE	13.73189	"fair"	8.295074	0	10	53.83778	"female"	FALSE	FALSE
0	0	TRUE	6.302619	0	FALSE	13.73189	"fair"	8.295074	0	10	54.83778	"female"	FALSE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	6.863792	"male"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	7.863792	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	8.863791	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	9.863791	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	10.86379	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	27.94524	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	28.94524	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	29.94524	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	30.94524	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	31.94524	"female"	FALSE	FALSE
6	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.035012	1.609438	12	29.28405	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.035012	1.609438	12	30.28405	"male"	FALSE	FALSE
8	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	8.440794	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	9.440794	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	10.44079	"female"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	11.44079	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	12.44079	"female"	TRUE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	3.290897	"female"	TRUE	FALSE
13	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.609438	13	4.290896	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	5.290896	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	6.290896	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.035012	1.386294	13	7.290896	"female"	TRUE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	7.938042	0.6931472	12	35.57837	"male"	FALSE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"good"	7.938042	0.6931472	13	21.32238	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	13.73189	"good"	7.938042	0	13	22.32238	"female"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	13.73189	"good"	7.938042	0	13	23.32238	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	4.867898	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	5.867898	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	6.867898	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	7.867898	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	8.867899	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	7.126626	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	8.126626	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	9.126626	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	10.12663	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	13.73189	"good"	9.163564	1.386294	10	11.12663	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	21.7	"good"	9.163564	1.386294	10	25.80424	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	21.7	"good"	9.163564	1.386294	10	26.80424	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	21.7	"good"	9.163564	1.386294	10	27.80424	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	21.7	"good"	9.163564	1.386294	10	28.80424	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	21.7	"good"	9.163564	1.386294	10	29.80424	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.4	"good"	9.163564	1.386294	10	26.92402	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"good"	9.163564	1.386294	10	27.92402	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"good"	9.163564	1.386294	10	28.92402	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.4	"good"	9.163564	1.386294	10	29.92402	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.4	"good"	9.163564	1.386294	10	30.92402	"male"	FALSE	FALSE
3	3.931826	FALSE	4.49981	0	FALSE	4.3	"good"	7.365436	0	12	19.08008	"male"	FALSE	FALSE
6	3.931826	FALSE	4.49981	0	FALSE	4.3	"good"	7.365436	0	12	20.08008	"male"	FALSE	FALSE
0	3.931826	FALSE	4.49981	0	FALSE	4.3	"good"	7.365436	0	12	21.08008	"male"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	26.1	"fair"	9.089928	0.6931472	5	56.85968	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	26.1	"fair"	9.089928	0.6931472	5	57.85968	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	26.1	"fair"	9.089928	0.6931472	5	58.85968	"male"	FALSE	TRUE
9	0	FALSE	0	0	TRUE	43.5	"fair"	9.089928	0.6931472	10	50.64476	"female"	FALSE	TRUE
7	0	FALSE	0	0	TRUE	43.5	"fair"	9.089928	0.6931472	10	51.64476	"female"	FALSE	TRUE
13	0	FALSE	0	0	TRUE	43.5	"fair"	9.089928	0.6931472	10	52.64476	"female"	FALSE	TRUE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.163564	0	12	25.62902	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.163564	0	12	26.62902	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.163564	0	12	27.62902	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.163564	0	12	28.62902	"male"	FALSE	FALSE
11	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.163564	0	12	29.62902	"male"	FALSE	FALSE
4	0	TRUE	6.802395	0	FALSE	0	"excellent"	8.793264	0.6931472	16	31.33196	"female"	FALSE	FALSE
2	0	TRUE	6.802395	0	FALSE	0	"excellent"	8.793264	1.098612	16	32.33196	"female"	FALSE	FALSE
5	0	TRUE	6.802395	0	FALSE	0	"excellent"	8.793264	1.098612	16	33.33196	"female"	FALSE	FALSE
5	0	TRUE	6.802395	0	FALSE	8.7	"excellent"	8.793264	0.6931472	16	27.48802	"male"	FALSE	FALSE
0	0	TRUE	6.802395	0	FALSE	8.7	"excellent"	8.793264	1.098612	16	28.48802	"male"	FALSE	FALSE
1	0	TRUE	6.802395	0	FALSE	8.7	"excellent"	8.793264	1.098612	16	29.48802	"male"	FALSE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.555245	0	16	26.49966	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.555245	0	16	27.49966	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.555245	0	16	28.49966	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.555245	0	16	29.49966	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.555245	0	16	30.49966	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.588372	0	16	28.48186	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.588372	0	16	30.48186	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.588372	0	16	31.48186	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.588372	0	16	32.48186	"female"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"excellent"	8.750077	0.6931472	12	23.30185	"female"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"excellent"	8.750077	0.6931472	12	24.30185	"female"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"excellent"	8.750077	0.6931472	12	25.30185	"female"	FALSE	FALSE
1	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"excellent"	8.750077	0.6931472	12	26.30185	"female"	FALSE	FALSE
2	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"excellent"	8.750077	0.6931472	12	27.30185	"female"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"good"	8.750077	0.6931472	14	41.29774	"male"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"good"	8.750077	0.6931472	14	42.29774	"male"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"good"	8.750077	0.6931472	14	43.29774	"male"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"good"	8.750077	0.6931472	14	44.29774	"male"	FALSE	FALSE
0	3.258096	FALSE	6.771935	8.15823	FALSE	13.73189	"good"	8.750077	0.6931472	14	45.29774	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.070024	0.6931472	18	30.39836	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.070024	1.098612	18	31.39836	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.070024	1.098612	18	32.39836	"male"	FALSE	FALSE
31	0	FALSE	0	0	FALSE	13.73189	"good"	9.070024	0.6931472	17	30.00958	"female"	FALSE	FALSE
17	0	FALSE	0	0	FALSE	13.73189	"good"	9.070024	1.098612	17	31.00958	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	13.73189	"good"	9.070024	1.098612	17	32.00958	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.475069	1.098612	16	1.667351	"male"	TRUE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.475069	1.098612	16	2.667351	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.475069	1.098612	16	3.667351	"male"	TRUE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.475069	1.098612	16	4.667351	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.475069	1.098612	16	5.667351	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.475069	1.098612	18	26.96235	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.475069	1.098612	18	27.96235	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.475069	1.098612	18	28.96235	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.475069	1.098612	18	29.96235	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.475069	1.098612	18	30.96235	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.475069	1.098612	16	29.17454	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.475069	1.098612	16	30.17454	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.475069	1.098612	16	31.17454	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.475069	1.098612	16	32.17454	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.475069	1.098612	16	33.17454	"female"	FALSE	FALSE
0	3.258096	FALSE	6.635947	8.022241	FALSE	13.73189	"excellent"	9.423629	1.386294	17	15.24709	"female"	TRUE	FALSE
1	3.258096	FALSE	6.635947	8.022241	FALSE	13.73189	"excellent"	9.423629	1.386294	17	16.24709	"female"	TRUE	FALSE
6	3.258096	FALSE	6.635947	8.022241	FALSE	13.73189	"excellent"	9.423629	1.386294	17	17.24709	"female"	TRUE	FALSE
8	3.258096	FALSE	6.635947	8.022241	TRUE	13.73189	"excellent"	9.423629	1.386294	17	42.25051	"female"	FALSE	FALSE
6	3.258096	FALSE	6.635947	8.022241	TRUE	13.73189	"excellent"	9.423629	1.386294	17	43.25051	"female"	FALSE	FALSE
8	3.258096	FALSE	6.635947	8.022241	TRUE	13.73189	"excellent"	9.423629	1.386294	17	44.25051	"female"	FALSE	FALSE
3	3.258096	FALSE	6.635947	8.022241	FALSE	13.73189	"excellent"	9.423629	1.386294	17	17.92197	"male"	TRUE	FALSE
2	3.258096	FALSE	6.635947	8.022241	FALSE	13.73189	"excellent"	9.423629	1.386294	17	18.92197	"male"	FALSE	FALSE
0	3.258096	FALSE	6.635947	8.022241	FALSE	13.73189	"excellent"	9.423629	1.386294	17	19.92197	"male"	FALSE	FALSE
3	3.258096	FALSE	6.635947	8.022241	TRUE	13.73189	"excellent"	9.423629	1.386294	12	19.00616	"male"	FALSE	FALSE
2	3.258096	FALSE	6.635947	8.022241	TRUE	13.73189	"excellent"	9.423629	1.386294	12	20.00616	"male"	FALSE	FALSE
0	3.258096	FALSE	6.635947	8.022241	TRUE	13.73189	"excellent"	9.423629	1.386294	12	21.00616	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	4.835044	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	5.835044	"male"	TRUE	FALSE
23	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	6.835044	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	1.716632	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	2.716632	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	3.716632	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	9	36.61602	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	9	37.61602	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	9	38.61602	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	28.39699	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	29.39699	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.992503	1.386294	12	30.39699	"female"	FALSE	FALSE
11	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	27.37851	"female"	FALSE	FALSE
3	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	28.37851	"female"	FALSE	FALSE
6	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	29.37851	"female"	FALSE	FALSE
6	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	30.37851	"female"	FALSE	FALSE
2	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.386294	15	31.37851	"female"	FALSE	FALSE
0	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	3.017112	"male"	TRUE	FALSE
1	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	4.017112	"male"	TRUE	FALSE
5	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	5.017112	"male"	TRUE	FALSE
6	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	6.017112	"male"	TRUE	FALSE
0	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.386294	15	7.017112	"male"	TRUE	FALSE
1	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	5.481177	"male"	TRUE	FALSE
1	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	6.481177	"male"	TRUE	FALSE
2	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	7.481177	"male"	TRUE	FALSE
11	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.098612	15	8.481177	"male"	TRUE	FALSE
5	0	FALSE	5.552959	0	FALSE	13.73189	"good"	9.163564	1.386294	15	9.481177	"male"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.299689	0	16	27.28268	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.299689	0	16	28.28268	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.299689	0	16	29.28268	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.299689	0	16	30.28268	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.299689	0	16	31.28268	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.595625	0	16	27.50445	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.595625	0	16	28.50445	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.595625	0	16	29.50445	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.595625	0	16	30.50445	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.595625	0	16	31.50445	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.79138	0.6931472	13	24.33676	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.79138	0.6931472	13	25.33676	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	8.79138	0.6931472	13	26.33676	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.79138	0.6931472	13	37.62902	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.79138	0.6931472	13	38.62902	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.79138	0.6931472	13	39.62902	"male"	FALSE	FALSE
2	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.371696	0	13	26.02601	"female"	FALSE	FALSE
3	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.371696	0	13	27.02601	"female"	FALSE	FALSE
3	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.371696	0	13	28.02601	"female"	FALSE	FALSE
2	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.371696	0	13	29.02601	"female"	FALSE	FALSE
4	3.258096	FALSE	6.55108	7.937375	FALSE	13.73189	"excellent"	8.371696	0	13	30.02601	"female"	FALSE	FALSE
0	0	TRUE	5.988961	0	FALSE	13.73189	"excellent"	8.928847	1.609438	13	10.15195	"female"	TRUE	FALSE
6	0	TRUE	5.988961	0	FALSE	13.73189	"excellent"	8.928847	1.609438	13	11.15195	"female"	TRUE	FALSE
6	0	TRUE	5.988961	0	FALSE	13.73189	"excellent"	8.928847	1.609438	13	12.15195	"female"	TRUE	FALSE
3	0	TRUE	5.988961	0	FALSE	21.7	"excellent"	8.928847	1.609438	18	37.71115	"male"	FALSE	FALSE
1	0	TRUE	5.988961	0	FALSE	21.7	"excellent"	8.928847	1.609438	18	38.71115	"male"	FALSE	FALSE
2	0	TRUE	5.988961	0	FALSE	21.7	"excellent"	8.928847	1.609438	18	39.71115	"male"	FALSE	FALSE
2	0	TRUE	5.988961	0	FALSE	17.4	"good"	8.928847	1.609438	13	36.46544	"female"	FALSE	FALSE
2	0	TRUE	5.988961	0	FALSE	17.4	"good"	8.928847	1.609438	13	37.46544	"female"	FALSE	FALSE
3	0	TRUE	5.988961	0	FALSE	17.4	"good"	8.928847	1.609438	13	38.46544	"female"	FALSE	FALSE
8	0	TRUE	5.988961	0	FALSE	13.73189	"good"	8.928847	1.609438	13	13.4757	"male"	TRUE	FALSE
3	0	TRUE	5.988961	0	FALSE	13.73189	"good"	8.928847	1.609438	13	14.4757	"male"	TRUE	FALSE
20	0	TRUE	5.988961	0	FALSE	13.73189	"good"	8.928847	1.609438	13	15.4757	"male"	TRUE	FALSE
7	0	TRUE	5.988961	0	FALSE	8.7	"excellent"	8.928847	1.609438	13	15.72074	"female"	TRUE	FALSE
1	0	TRUE	5.988961	0	FALSE	8.7	"excellent"	8.928847	1.609438	13	16.72074	"female"	TRUE	FALSE
5	0	TRUE	5.988961	0	FALSE	8.7	"excellent"	8.928847	1.609438	13	17.72074	"female"	TRUE	FALSE
15	3.931826	FALSE	5.298317	5.991465	FALSE	8.7	"good"	9.073941	0	16	23.91786	"female"	FALSE	FALSE
2	3.931826	FALSE	5.298317	5.991465	FALSE	8.7	"good"	9.073941	0	16	24.91786	"female"	FALSE	FALSE
1	3.931826	FALSE	5.298317	5.991465	FALSE	8.7	"good"	9.073941	0.6931472	16	25.91786	"female"	FALSE	FALSE
4	3.931826	FALSE	5.298317	5.991465	FALSE	8.7	"good"	9.073941	0.6931472	16	26.91786	"female"	FALSE	FALSE
2	3.931826	FALSE	5.298317	5.991465	FALSE	8.7	"good"	9.073941	0.6931472	16	27.91786	"female"	FALSE	FALSE
2	3.931826	FALSE	4.744932	5.438079	FALSE	8.7	"good"	8.302484	0	16	24.02738	"female"	FALSE	FALSE
0	3.931826	FALSE	4.744932	5.438079	FALSE	8.7	"good"	8.302484	0	16	25.02738	"female"	FALSE	FALSE
0	3.931826	FALSE	4.744932	5.438079	FALSE	8.7	"good"	8.302484	0	16	26.02738	"female"	FALSE	FALSE
2	3.931826	FALSE	4.744932	5.438079	FALSE	8.7	"good"	8.302484	0	16	27.02738	"female"	FALSE	FALSE
5	3.931826	FALSE	4.744932	5.438079	FALSE	8.7	"good"	8.302484	0	16	28.02738	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.127512	0	12	31.49897	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.127512	0	12	32.49897	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.127512	0	12	33.49897	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.127512	0	12	34.49897	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.127512	0	12	35.49897	"male"	FALSE	FALSE
2	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	4.668036	"male"	TRUE	FALSE
1	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	5.668036	"male"	TRUE	FALSE
1	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	6.668036	"male"	TRUE	FALSE
3	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	7.668036	"male"	TRUE	FALSE
1	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	8.668036	"male"	TRUE	FALSE
6	0	FALSE	5.673323	0	FALSE	17.4	"good"	9.356847	1.386294	12	26.73511	"female"	FALSE	FALSE
3	0	FALSE	5.673323	0	FALSE	17.4	"good"	9.356847	1.386294	12	27.73511	"female"	FALSE	FALSE
7	0	FALSE	5.673323	0	FALSE	17.4	"good"	9.356847	1.386294	12	28.73511	"female"	FALSE	FALSE
8	0	FALSE	5.673323	0	FALSE	17.4	"good"	9.356847	1.386294	12	29.73511	"female"	FALSE	FALSE
2	0	FALSE	5.673323	0	FALSE	17.4	"good"	9.356847	1.386294	12	30.73511	"female"	FALSE	FALSE
1	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	9.839836	"female"	TRUE	FALSE
0	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	10.83984	"female"	TRUE	FALSE
3	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	11.83984	"female"	TRUE	FALSE
6	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	12.83984	"female"	TRUE	FALSE
1	0	FALSE	5.673323	0	FALSE	13.73189	"excellent"	9.356847	1.386294	12	13.83984	"female"	TRUE	FALSE
2	0	FALSE	5.673323	0	FALSE	8.7	"excellent"	9.356847	1.386294	12	30.79261	"male"	FALSE	FALSE
2	0	FALSE	5.673323	0	FALSE	8.7	"excellent"	9.356847	1.386294	12	31.79261	"male"	FALSE	FALSE
5	0	FALSE	5.673323	0	FALSE	8.7	"excellent"	9.356847	1.386294	12	32.79261	"male"	FALSE	FALSE
3	0	FALSE	5.673323	0	FALSE	8.7	"excellent"	9.356847	1.386294	12	33.79261	"male"	FALSE	FALSE
2	0	FALSE	5.673323	0	FALSE	8.7	"excellent"	9.356847	1.386294	12	34.79261	"male"	FALSE	FALSE
1	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	12	5.229295	"female"	TRUE	FALSE
3	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	12	6.229295	"female"	TRUE	FALSE
1	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	12	7.229295	"female"	TRUE	FALSE
2	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	12	4.262834	"female"	TRUE	FALSE
1	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	12	5.262834	"female"	TRUE	FALSE
2	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	12	6.262834	"female"	TRUE	FALSE
0	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	20	34.96783	"male"	FALSE	FALSE
3	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	20	35.96783	"male"	FALSE	FALSE
0	0	TRUE	6.885509	0	FALSE	13.73189	"excellent"	9.533458	1.386294	20	36.96783	"male"	FALSE	FALSE
22	0	TRUE	6.885509	0	FALSE	13.73189	"good"	9.533458	1.386294	12	24.83778	"female"	FALSE	FALSE
19	0	TRUE	6.885509	0	FALSE	13.73189	"good"	9.533458	1.386294	12	25.83778	"female"	FALSE	FALSE
14	0	TRUE	6.885509	0	FALSE	13.73189	"good"	9.533458	1.386294	12	26.83778	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	1.94591	12	16.1232	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.079442	12	17.1232	"female"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.079442	12	18.1232	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.079442	12	19.1232	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.197225	12	20.1232	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	1.94591	12	10.89938	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	11.89938	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	12.89938	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	13.89938	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.197225	12	14.89938	"female"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	1.94591	9	46.67214	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.079442	9	47.67214	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.079442	9	48.67214	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.079442	9	49.67214	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.197225	9	50.67214	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	1.94591	12	14.77071	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.079442	12	15.77071	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.079442	12	16.7707	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.079442	12	17.7707	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	0	"good"	9.008647	2.197225	12	18.7707	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	1.94591	12	8.919918	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	9.919918	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	10.91992	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	11.91992	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.197225	12	12.91992	"male"	TRUE	FALSE
5	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	1.94591	12	40.27652	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.079442	12	41.27652	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.079442	12	42.27652	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.079442	12	43.27652	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	9.008647	2.197225	12	44.27652	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	1.94591	12	12.79398	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	13.79398	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	14.79398	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.079442	12	15.79398	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"good"	9.008647	2.197225	12	16.79398	"male"	TRUE	FALSE
3	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	13	19.57837	"female"	FALSE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	13	20.57837	"female"	FALSE	FALSE
1	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	13	21.57837	"female"	FALSE	FALSE
3	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	13	22.57837	"female"	FALSE	FALSE
9	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	13	23.57837	"female"	FALSE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"good"	9.503597	1.609438	11	50.16016	"male"	FALSE	FALSE
11	0	FALSE	5.105946	0	FALSE	13.73189	"good"	9.503597	1.609438	11	51.16016	"male"	FALSE	FALSE
7	0	FALSE	5.105946	0	FALSE	13.73189	"good"	9.503597	1.609438	11	52.16016	"male"	FALSE	FALSE
6	0	FALSE	5.105946	0	FALSE	13.73189	"good"	9.503597	1.609438	11	53.16016	"male"	FALSE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"good"	9.503597	1.609438	11	54.16016	"male"	FALSE	FALSE
2	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	48.0438	"female"	FALSE	FALSE
0	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	49.0438	"female"	FALSE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	50.0438	"female"	FALSE	FALSE
7	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	51.0438	"female"	FALSE	FALSE
11	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	52.0438	"female"	FALSE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	17.10335	"female"	TRUE	FALSE
5	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	18.10335	"female"	FALSE	FALSE
7	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	19.10335	"female"	FALSE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	20.10335	"female"	FALSE	FALSE
5	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	21.10335	"female"	FALSE	FALSE
0	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	14.54894	"female"	TRUE	FALSE
8	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	15.54894	"female"	TRUE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	16.54894	"female"	TRUE	FALSE
1	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	17.54894	"female"	TRUE	FALSE
4	0	FALSE	5.105946	0	FALSE	13.73189	"excellent"	9.503597	1.609438	12	18.54894	"female"	FALSE	FALSE
1	0	TRUE	5.351858	0	TRUE	13.73189	"poor"	6.168411	0	10	41.74401	"female"	FALSE	TRUE
11	0	TRUE	5.351858	0	TRUE	13.73189	"poor"	6.168411	0	10	42.74401	"female"	FALSE	TRUE
1	0	TRUE	5.351858	0	TRUE	13.73189	"poor"	6.168411	0	10	43.74401	"female"	FALSE	TRUE
0	0	TRUE	4.317488	0	FALSE	13.73189	"good"	6.101236	0	11	19.66872	"male"	FALSE	TRUE
0	0	TRUE	4.317488	0	FALSE	13.73189	"good"	6.101236	0	11	20.66872	"male"	FALSE	TRUE
2	0	TRUE	4.317488	0	FALSE	13.73189	"good"	6.101236	0	11	21.66872	"male"	FALSE	TRUE
0	3.258096	FALSE	5.129899	6.516193	FALSE	17.4	"good"	9.163564	0.6931472	12	24.85969	"female"	FALSE	TRUE
1	3.258096	FALSE	5.129899	6.516193	FALSE	17.4	"good"	9.163564	0.6931472	12	25.85969	"female"	FALSE	TRUE
0	3.258096	FALSE	5.129899	6.516193	FALSE	17.4	"good"	9.163564	0.6931472	12	26.85969	"female"	FALSE	TRUE
0	3.258096	FALSE	5.129899	6.516193	FALSE	13.73189	"good"	9.163564	0.6931472	12	6.078029	"female"	TRUE	TRUE
0	3.258096	FALSE	5.129899	6.516193	FALSE	13.73189	"good"	9.163564	0.6931472	12	7.078029	"female"	TRUE	TRUE
0	3.258096	FALSE	5.129899	6.516193	FALSE	13.73189	"good"	9.163564	0.6931472	12	8.078029	"female"	TRUE	TRUE
0	0	TRUE	4.919981	0	TRUE	13.73189	"excellent"	9.163564	0.6931472	12	4.750171	"female"	TRUE	TRUE
0	0	TRUE	4.919981	0	TRUE	13.73189	"good"	9.163564	0.6931472	12	23.82478	"female"	FALSE	TRUE
0	3.931826	FALSE	5.187386	5.880533	TRUE	13.73189	"good"	9.163564	0.6931472	11	47.39767	"female"	FALSE	TRUE
0	3.931826	FALSE	5.187386	5.880533	TRUE	13.73189	"good"	9.163564	0.6931472	11	48.39767	"female"	FALSE	TRUE
0	3.931826	FALSE	5.187386	5.880533	TRUE	13.73189	"good"	9.163564	0.6931472	11	49.39767	"female"	FALSE	TRUE
1	3.931826	FALSE	5.187386	5.880533	FALSE	8.7	"good"	9.163564	0.6931472	11	18.73511	"male"	FALSE	TRUE
0	3.931826	FALSE	5.187386	5.880533	FALSE	8.7	"good"	9.163564	0.6931472	11	19.73511	"male"	FALSE	TRUE
0	3.931826	FALSE	5.187386	5.880533	FALSE	8.7	"good"	9.163564	0.6931472	11	20.73511	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	7.083444	0.6931472	10	4.043806	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	7.083444	0.6931472	10	5.043806	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.083444	0.6931472	10	32.15606	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.083444	0.6931472	10	33.15606	"female"	FALSE	TRUE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	11.19507	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	12.19507	"male"	TRUE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	13.19507	"male"	TRUE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	14.19507	"male"	TRUE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	15.19507	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	17	44.66804	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	17	45.66804	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	17	46.66804	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	17	47.66804	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	17	48.66804	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	14.05886	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	15.05886	"male"	TRUE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	16.05886	"male"	TRUE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	17.05886	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	18.05886	"male"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	40.33675	"female"	FALSE	FALSE
11	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	41.33675	"female"	FALSE	FALSE
12	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	42.33675	"female"	FALSE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	43.33675	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.554388	1.386294	12	44.33675	"female"	FALSE	FALSE
2	3.258096	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	0	3	53.15263	"male"	FALSE	FALSE
2	3.258096	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	0	3	54.15263	"male"	FALSE	FALSE
4	3.258096	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	0	3	55.15263	"male"	FALSE	FALSE
4	3.258096	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	0	3	56.15263	"male"	FALSE	FALSE
7	3.258096	FALSE	0	0	TRUE	13.73189	"fair"	9.163564	0	3	57.15263	"male"	FALSE	FALSE
20	3.258096	FALSE	5.556828	6.590301	TRUE	13.73189	"fair"	9.163564	0	13	55.04996	"female"	FALSE	TRUE
2	0	TRUE	4.844187	0	FALSE	13.73189	"good"	6.998777	0	12	59.8193	"female"	FALSE	FALSE
0	0	TRUE	4.844187	0	FALSE	13.73189	"good"	6.998777	0	12	60.8193	"female"	FALSE	FALSE
0	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	35.74812	"male"	FALSE	TRUE
4	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	36.74812	"male"	FALSE	TRUE
1	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	37.74812	"male"	FALSE	TRUE
2	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	38.74812	"male"	FALSE	TRUE
3	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	39.74812	"male"	FALSE	TRUE
8	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	34.69131	"female"	FALSE	TRUE
5	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	35.69131	"female"	FALSE	TRUE
4	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	36.69131	"female"	FALSE	TRUE
0	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	37.69131	"female"	FALSE	TRUE
2	0	TRUE	6.476973	0	FALSE	8.7	"excellent"	9.1353	1.609438	12	38.69131	"female"	FALSE	TRUE
3	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	4.062971	"male"	TRUE	TRUE
1	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	5.062971	"male"	TRUE	TRUE
1	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	6.062971	"male"	TRUE	TRUE
0	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	7.062971	"male"	TRUE	TRUE
0	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	8.06297	"male"	TRUE	TRUE
0	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	11.26899	"female"	TRUE	TRUE
1	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	12.26899	"female"	TRUE	TRUE
1	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	13.26899	"female"	TRUE	TRUE
2	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	14.26899	"female"	TRUE	TRUE
0	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	15.26899	"female"	TRUE	TRUE
3	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	8.125941	"female"	TRUE	TRUE
2	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	9.125941	"female"	TRUE	TRUE
1	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	10.12594	"female"	TRUE	TRUE
4	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	11.12594	"female"	TRUE	TRUE
1	0	TRUE	6.476973	0	FALSE	13.73189	"excellent"	9.1353	1.609438	12	12.12594	"female"	TRUE	TRUE
0	0	TRUE	4.787492	0	FALSE	21.7	"excellent"	9.389847	1.386294	16	35.28542	"male"	FALSE	FALSE
1	0	TRUE	4.787492	0	FALSE	21.7	"excellent"	9.389847	1.386294	16	36.28542	"male"	FALSE	FALSE
1	0	TRUE	4.787492	0	FALSE	21.7	"excellent"	9.389847	1.386294	16	37.28542	"male"	FALSE	FALSE
0	0	TRUE	4.787492	0	FALSE	21.7	"excellent"	9.389847	1.386294	16	38.28542	"male"	FALSE	FALSE
2	0	TRUE	4.787492	0	FALSE	21.7	"excellent"	9.389847	1.609438	16	39.28542	"male"	FALSE	FALSE
0	0	TRUE	4.787492	0	FALSE	0	"excellent"	9.389847	1.386294	15	33.0924	"female"	FALSE	FALSE
0	0	TRUE	4.787492	0	FALSE	0	"excellent"	9.389847	1.386294	15	34.0924	"female"	FALSE	FALSE
0	0	TRUE	4.787492	0	FALSE	0	"excellent"	9.389847	1.386294	15	35.0924	"female"	FALSE	FALSE
0	0	TRUE	4.787492	0	FALSE	0	"excellent"	9.389847	1.386294	15	36.0924	"female"	FALSE	FALSE
1	0	TRUE	4.787492	0	FALSE	0	"excellent"	9.389847	1.609438	15	37.0924	"female"	FALSE	FALSE
1	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	3.115674	"female"	TRUE	FALSE
1	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	4.115674	"female"	TRUE	FALSE
1	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	5.115674	"female"	TRUE	FALSE
0	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	6.115674	"female"	TRUE	FALSE
3	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.609438	15	7.115674	"female"	TRUE	FALSE
2	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	9.319644	"male"	TRUE	FALSE
1	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	10.31964	"male"	TRUE	FALSE
0	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	11.31964	"male"	TRUE	FALSE
1	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.386294	15	12.31964	"male"	TRUE	FALSE
4	0	TRUE	4.787492	0	FALSE	13.73189	"excellent"	9.389847	1.609438	15	13.31964	"male"	TRUE	FALSE
0	3.258096	FALSE	6.871091	8.257385	FALSE	4.3	"excellent"	9.497291	1.94591	16	33.62628	"male"	FALSE	FALSE
0	3.258096	FALSE	6.871091	8.257385	FALSE	4.3	"excellent"	9.497291	1.94591	16	34.62628	"male"	FALSE	FALSE
5	3.258096	FALSE	6.871091	8.257385	FALSE	4.3	"excellent"	9.497291	1.94591	16	35.62628	"male"	FALSE	FALSE
4	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	7.008898	"male"	TRUE	FALSE
2	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	8.008898	"male"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	9.008898	"male"	TRUE	FALSE
2	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	5.713894	"male"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	6.713894	"male"	TRUE	FALSE
2	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	7.713894	"male"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	TRUE	13.73189	"excellent"	9.497291	1.94591	16	4.654346	"male"	TRUE	FALSE
2	3.258096	FALSE	6.871091	8.257385	TRUE	13.73189	"excellent"	9.497291	1.94591	16	5.654346	"male"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	TRUE	13.73189	"excellent"	9.497291	1.94591	16	6.654346	"male"	TRUE	FALSE
2	3.258096	FALSE	6.871091	8.257385	FALSE	13	"excellent"	9.497291	1.94591	16	30.62286	"female"	FALSE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13	"excellent"	9.497291	1.94591	16	31.62286	"female"	FALSE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13	"excellent"	9.497291	1.94591	16	32.62286	"female"	FALSE	FALSE
6	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	0.9117043	"female"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	1.911704	"female"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	2.911704	"female"	TRUE	FALSE
4	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	3.389459	"male"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	4.389459	"male"	TRUE	FALSE
1	3.258096	FALSE	6.871091	8.257385	FALSE	13.73189	"excellent"	9.497291	1.94591	16	5.389459	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.689123	1.098612	13	46.6256	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.689123	1.098612	13	47.6256	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.689123	1.098612	13	48.6256	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.689123	1.098612	12	18.68309	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.689123	1.098612	12	19.68309	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"excellent"	9.689123	1.098612	12	20.68309	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.689123	1.098612	12	52.03012	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.689123	1.098612	12	53.03012	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.689123	1.098612	12	54.03012	"male"	FALSE	FALSE
3	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	10.0178	"male"	TRUE	FALSE
6	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	11.0178	"male"	TRUE	FALSE
3	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	12.0178	"male"	TRUE	FALSE
4	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	13.0178	"male"	TRUE	FALSE
6	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	14.0178	"male"	TRUE	FALSE
4	0	FALSE	5.451038	0	FALSE	13	"excellent"	9.174315	1.386294	12	45.86448	"female"	FALSE	FALSE
10	0	FALSE	5.451038	0	FALSE	13	"excellent"	9.174315	1.386294	12	46.86448	"female"	FALSE	FALSE
3	0	FALSE	5.451038	0	FALSE	13	"excellent"	9.174315	1.386294	12	47.86448	"female"	FALSE	FALSE
7	0	FALSE	5.451038	0	FALSE	13	"excellent"	9.174315	1.386294	12	48.86448	"female"	FALSE	FALSE
5	0	FALSE	5.451038	0	FALSE	13	"excellent"	9.174315	1.386294	12	49.86448	"female"	FALSE	FALSE
5	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	8.123203	"male"	TRUE	FALSE
3	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	9.123203	"male"	TRUE	FALSE
5	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	10.1232	"male"	TRUE	FALSE
2	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	11.1232	"male"	TRUE	FALSE
4	0	FALSE	5.451038	0	FALSE	13.73189	"excellent"	9.174315	1.386294	12	12.1232	"male"	TRUE	FALSE
4	0	FALSE	5.451038	0	FALSE	4.3	"excellent"	9.174315	1.386294	16	43.7755	"male"	FALSE	FALSE
7	0	FALSE	5.451038	0	FALSE	4.3	"excellent"	9.174315	1.386294	16	44.7755	"male"	FALSE	FALSE
6	0	FALSE	5.451038	0	FALSE	4.3	"excellent"	9.174315	1.386294	16	45.7755	"male"	FALSE	FALSE
12	0	FALSE	5.451038	0	FALSE	4.3	"excellent"	9.174315	1.386294	16	46.7755	"male"	FALSE	FALSE
1	0	FALSE	5.451038	0	FALSE	4.3	"excellent"	9.174315	1.386294	16	47.7755	"male"	FALSE	FALSE
13	0	TRUE	6.386879	0	TRUE	34.8	"fair"	8.647483	1.609438	7	27.08008	"female"	FALSE	FALSE
5	0	TRUE	6.386879	0	TRUE	34.8	"fair"	8.647483	1.609438	7	28.08008	"female"	FALSE	FALSE
1	0	TRUE	6.386879	0	TRUE	34.8	"fair"	8.647483	1.609438	7	29.08008	"female"	FALSE	FALSE
1	0	TRUE	6.386879	0	FALSE	13.73189	"fair"	8.647483	1.609438	7	7.937029	"male"	TRUE	FALSE
6	0	TRUE	6.386879	0	FALSE	13.73189	"fair"	8.647483	1.609438	7	8.93703	"male"	TRUE	FALSE
7	0	TRUE	6.386879	0	FALSE	13.73189	"fair"	8.647483	1.609438	7	9.93703	"male"	TRUE	FALSE
1	0	TRUE	6.386879	0	FALSE	13.73189	"fair"	8.647483	1.609438	7	10.80356	"male"	TRUE	FALSE
3	0	TRUE	6.386879	0	FALSE	13.73189	"fair"	8.647483	1.609438	7	11.80356	"male"	TRUE	FALSE
2	0	TRUE	6.386879	0	FALSE	13.73189	"fair"	8.647483	1.609438	7	12.80356	"male"	TRUE	FALSE
4	0	TRUE	6.386879	0	FALSE	13.73189	"excellent"	8.647483	1.609438	7	4.172484	"male"	TRUE	FALSE
6	0	TRUE	6.386879	0	FALSE	13.73189	"excellent"	8.647483	1.609438	7	5.172484	"male"	TRUE	FALSE
2	0	TRUE	6.386879	0	FALSE	13.73189	"excellent"	8.647483	1.609438	7	6.172484	"male"	TRUE	FALSE
2	0	TRUE	6.386879	0	FALSE	17.4	"good"	8.647483	1.609438	12	32.46544	"male"	FALSE	FALSE
0	0	TRUE	6.386879	0	FALSE	17.4	"good"	8.647483	1.609438	12	33.46544	"male"	FALSE	FALSE
1	0	TRUE	6.386879	0	FALSE	17.4	"good"	8.647483	1.609438	12	34.46544	"male"	FALSE	FALSE
6	0	FALSE	5.796058	0	FALSE	13	"excellent"	9.592628	1.098612	12	47.23614	"female"	FALSE	FALSE
0	0	FALSE	5.796058	0	FALSE	13	"excellent"	9.592628	1.098612	12	48.23614	"female"	FALSE	FALSE
1	0	FALSE	5.796058	0	FALSE	13	"excellent"	9.592628	1.098612	12	49.23614	"female"	FALSE	FALSE
3	0	FALSE	5.796058	0	FALSE	13	"excellent"	9.592628	1.098612	12	50.23614	"female"	FALSE	FALSE
2	0	FALSE	5.796058	0	FALSE	13	"excellent"	9.592628	1.098612	12	51.23614	"female"	FALSE	FALSE
0	0	FALSE	5.796058	0	FALSE	4.3	"excellent"	9.592628	1.098612	12	18.45311	"female"	FALSE	FALSE
4	0	FALSE	5.796058	0	FALSE	4.3	"excellent"	9.592628	1.098612	12	19.45311	"female"	FALSE	FALSE
3	0	FALSE	5.796058	0	FALSE	4.3	"excellent"	9.592628	1.098612	12	20.45311	"female"	FALSE	FALSE
3	0	FALSE	5.796058	0	FALSE	4.3	"excellent"	9.592628	1.098612	12	21.45311	"female"	FALSE	FALSE
2	0	FALSE	5.796058	0	FALSE	4.3	"excellent"	9.592628	1.098612	12	22.45311	"female"	FALSE	FALSE
4	0	FALSE	5.796058	0	FALSE	17.4	"good"	9.592628	1.098612	12	52.82409	"male"	FALSE	FALSE
11	0	FALSE	5.796058	0	FALSE	17.4	"good"	9.592628	1.098612	12	53.82409	"male"	FALSE	FALSE
7	0	FALSE	5.796058	0	FALSE	17.4	"good"	9.592628	1.098612	12	54.82409	"male"	FALSE	FALSE
3	0	FALSE	5.796058	0	FALSE	17.4	"good"	9.592628	1.098612	12	55.82409	"male"	FALSE	FALSE
5	0	FALSE	5.796058	0	FALSE	17.4	"good"	9.592628	1.098612	12	56.82409	"male"	FALSE	FALSE
1	0	TRUE	6.791222	0	FALSE	13.73189	"excellent"	9.120343	1.098612	13	3.674196	"female"	TRUE	FALSE
2	0	TRUE	6.791222	0	FALSE	13.73189	"excellent"	9.120343	1.386294	13	4.674196	"female"	TRUE	FALSE
1	0	TRUE	6.791222	0	FALSE	13.73189	"excellent"	9.120343	1.386294	13	5.674196	"female"	TRUE	FALSE
1	0	TRUE	6.791222	0	FALSE	13.73189	"excellent"	9.120343	1.386294	13	6.674196	"female"	TRUE	FALSE
3	0	TRUE	6.791222	0	FALSE	13.73189	"excellent"	9.120343	1.386294	13	7.674196	"female"	TRUE	FALSE
4	0	TRUE	6.791222	0	FALSE	0	"excellent"	9.120343	1.098612	14	28.71184	"male"	FALSE	FALSE
3	0	TRUE	6.791222	0	FALSE	0	"excellent"	9.120343	1.386294	14	29.71184	"male"	FALSE	FALSE
2	0	TRUE	6.791222	0	FALSE	0	"excellent"	9.120343	1.386294	14	30.71184	"male"	FALSE	FALSE
1	0	TRUE	6.791222	0	FALSE	0	"excellent"	9.120343	1.386294	14	31.71184	"male"	FALSE	FALSE
4	0	TRUE	6.791222	0	FALSE	0	"excellent"	9.120343	1.386294	14	32.71184	"male"	FALSE	FALSE
2	0	TRUE	6.791222	0	FALSE	8.7	"excellent"	9.120343	1.098612	13	25.40452	"female"	FALSE	FALSE
3	0	TRUE	6.791222	0	FALSE	8.7	"excellent"	9.120343	1.386294	13	26.40452	"female"	FALSE	FALSE
6	0	TRUE	6.791222	0	FALSE	8.7	"excellent"	9.120343	1.386294	13	27.40452	"female"	FALSE	FALSE
0	0	TRUE	6.791222	0	FALSE	8.7	"excellent"	9.120343	1.386294	13	28.40452	"female"	FALSE	FALSE
2	0	TRUE	6.791222	0	FALSE	8.7	"excellent"	9.120343	1.386294	13	29.40452	"female"	FALSE	FALSE
2	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	19.80561	"male"	FALSE	FALSE
3	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	20.80561	"male"	FALSE	FALSE
1	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	21.80561	"male"	FALSE	FALSE
0	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	22.80561	"male"	FALSE	FALSE
0	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	40.51472	"female"	FALSE	FALSE
4	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	41.51472	"female"	FALSE	FALSE
2	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	42.51472	"female"	FALSE	FALSE
1	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.386294	12	43.51472	"female"	FALSE	FALSE
2	0	FALSE	5.273	0	FALSE	4.3	"excellent"	9.242486	1.098612	12	44.51472	"female"	FALSE	FALSE
7	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	11	40.4627	"male"	FALSE	FALSE
1	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	11	41.4627	"male"	FALSE	FALSE
2	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	11	42.4627	"male"	FALSE	FALSE
1	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	11	43.4627	"male"	FALSE	FALSE
4	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.098612	11	44.4627	"male"	FALSE	FALSE
2	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	12	15.37851	"male"	TRUE	FALSE
3	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	12	16.37851	"male"	TRUE	FALSE
0	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	12	17.37851	"male"	TRUE	FALSE
4	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.386294	12	18.37851	"male"	FALSE	FALSE
1	0	FALSE	5.273	0	FALSE	0	"excellent"	9.242486	1.098612	12	19.37851	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	12.82957	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	13.82957	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	14.82957	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	15.82957	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	16.82957	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.351699	1.386294	10	38.95414	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.351699	1.386294	10	39.95414	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.351699	1.386294	10	40.95414	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.351699	1.386294	10	41.95414	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.351699	1.386294	10	42.95414	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	10.46133	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	11.46133	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	12.46133	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	13.46133	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.351699	1.386294	12	14.46133	"female"	TRUE	FALSE
19	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"fair"	9.351699	1.386294	12	34.08624	"female"	FALSE	FALSE
11	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"fair"	9.351699	1.386294	12	35.08624	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"fair"	9.351699	1.386294	12	36.08624	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"fair"	9.351699	1.386294	12	37.08624	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"fair"	9.351699	1.386294	12	38.08624	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	7.545517	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	8.545517	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.240141	1.791759	9	27.53183	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.240141	1.791759	9	28.53183	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	10.04517	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	11.04517	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	11.32101	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	12.32101	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	4.911705	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.240141	1.791759	9	5.911705	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.240141	1.791759	8	31.90417	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	9.240141	1.791759	8	32.90417	"male"	FALSE	FALSE
1	0	FALSE	5.278115	0	FALSE	13	"excellent"	9.196461	1.791759	12	15.50171	"male"	TRUE	FALSE
2	0	FALSE	5.278115	0	FALSE	13	"excellent"	9.196461	1.791759	12	16.50171	"male"	TRUE	FALSE
5	0	FALSE	5.278115	0	FALSE	13	"excellent"	9.196461	1.791759	12	17.50171	"male"	TRUE	FALSE
3	0	FALSE	5.278115	0	FALSE	13	"excellent"	9.196461	1.791759	12	18.50171	"male"	FALSE	FALSE
0	0	FALSE	5.278115	0	FALSE	13	"excellent"	9.196461	1.791759	12	19.50171	"male"	FALSE	FALSE
4	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	8.960985	"female"	TRUE	FALSE
3	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	9.960985	"female"	TRUE	FALSE
0	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	10.96099	"female"	TRUE	FALSE
1	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	11.96099	"female"	TRUE	FALSE
2	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	12.96099	"female"	TRUE	FALSE
20	0	FALSE	5.278115	0	FALSE	13.73189	"good"	9.196461	1.791759	12	11.76454	"female"	TRUE	FALSE
9	0	FALSE	5.278115	0	FALSE	13.73189	"good"	9.196461	1.791759	12	12.76454	"female"	TRUE	FALSE
26	0	FALSE	5.278115	0	FALSE	13.73189	"good"	9.196461	1.791759	12	13.76454	"female"	TRUE	FALSE
28	0	FALSE	5.278115	0	FALSE	13.73189	"good"	9.196461	1.791759	12	14.76454	"female"	TRUE	FALSE
33	0	FALSE	5.278115	0	FALSE	13.73189	"good"	9.196461	1.791759	12	15.76454	"female"	TRUE	FALSE
13	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	41.42368	"male"	FALSE	FALSE
11	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	42.42368	"male"	FALSE	FALSE
12	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	43.42368	"male"	FALSE	FALSE
7	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	44.42368	"male"	FALSE	FALSE
16	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	45.42368	"male"	FALSE	FALSE
6	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	39.96167	"female"	FALSE	FALSE
3	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	40.96167	"female"	FALSE	FALSE
6	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	41.96167	"female"	FALSE	FALSE
7	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	42.96167	"female"	FALSE	FALSE
6	0	FALSE	5.278115	0	FALSE	8.7	"excellent"	9.196461	1.791759	12	43.96167	"female"	FALSE	FALSE
2	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	10.65571	"female"	TRUE	FALSE
0	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	11.65571	"female"	TRUE	FALSE
0	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	12.65571	"female"	TRUE	FALSE
3	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	13.65571	"female"	TRUE	FALSE
3	0	FALSE	5.278115	0	FALSE	13.73189	"excellent"	9.196461	1.791759	12	14.65571	"female"	TRUE	FALSE
2	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	5.004791	"female"	TRUE	TRUE
1	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	6.004791	"female"	TRUE	TRUE
0	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	7.004791	"female"	TRUE	TRUE
2	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	27.5154	"female"	FALSE	TRUE
3	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	28.5154	"female"	FALSE	TRUE
4	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	29.5154	"female"	FALSE	TRUE
1	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	5.965777	"female"	TRUE	TRUE
1	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	6.965777	"female"	TRUE	TRUE
1	3.258096	FALSE	5.883322	7.269617	FALSE	13.73189	"good"	8.602669	1.098612	14	7.965777	"female"	TRUE	TRUE
2	0	TRUE	5.703783	0	FALSE	8.7	"good"	9.62222	0.6931472	16	24.39973	"female"	FALSE	TRUE
6	0	TRUE	5.703783	0	FALSE	8.7	"good"	9.62222	0.6931472	16	25.39973	"female"	FALSE	TRUE
1	0	TRUE	5.703783	0	FALSE	8.7	"good"	9.62222	0.6931472	16	26.39973	"female"	FALSE	TRUE
0	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.62222	0.6931472	18	28.9473	"male"	FALSE	TRUE
7	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.62222	0.6931472	18	29.9473	"male"	FALSE	TRUE
6	0	TRUE	5.703783	0	FALSE	4.3	"good"	9.62222	0.6931472	18	30.9473	"male"	FALSE	TRUE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	18	36.22724	"male"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	18	37.22724	"male"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	18	38.22724	"male"	FALSE	TRUE
37	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	16	35.23888	"female"	FALSE	TRUE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	16	36.23888	"female"	FALSE	TRUE
11	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	16	37.23888	"female"	FALSE	TRUE
6	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	9.612475	1.609438	16	8.536619	"female"	TRUE	TRUE
8	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	9.612475	1.609438	16	9.536619	"female"	TRUE	TRUE
5	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"good"	9.612475	1.609438	16	10.53662	"female"	TRUE	TRUE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	16	11.48528	"female"	TRUE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	16	12.48528	"female"	TRUE	TRUE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.612475	1.609438	16	13.48528	"female"	TRUE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.612475	1.609438	16	10.31348	"male"	TRUE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.612475	1.609438	16	11.31348	"male"	TRUE	TRUE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.612475	1.609438	16	12.31348	"male"	TRUE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.361933	1.098612	12	39.49897	"male"	FALSE	TRUE
3	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.361933	0.6931472	12	40.49897	"male"	FALSE	TRUE
2	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.361933	0.6931472	12	41.49897	"male"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.361933	1.098612	12	4.405202	"female"	TRUE	TRUE
5	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.361933	1.098612	12	39.54826	"female"	FALSE	TRUE
3	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.361933	0.6931472	12	40.54826	"female"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.361933	0.6931472	12	41.54826	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	12	42.92676	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	12	43.92676	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	12	44.92676	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	12	45.92676	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	12	46.92676	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	16.9692	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	17.9692	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	18.9692	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	19.9692	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	20.9692	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	14.19849	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	15.19849	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	16.19849	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	17.19849	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"excellent"	9.241705	1.386294	12	18.19849	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	18	48.24641	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	18	49.24641	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	18	50.24641	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	18	51.24641	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.4	"excellent"	9.241705	1.386294	18	52.24641	"male"	FALSE	FALSE
12	0	TRUE	0	0	TRUE	47.8	"poor"	8.591717	0.6931472	12	60.2026	"male"	FALSE	FALSE
38	0	TRUE	0	0	TRUE	30.4	"good"	8.591717	0.6931472	12	57.78234	"female"	FALSE	FALSE
11	0	TRUE	0	0	TRUE	30.4	"good"	8.591717	0	12	58.78234	"female"	FALSE	FALSE
6	0	TRUE	0	0	TRUE	30.4	"good"	8.591717	0	12	59.78234	"female"	FALSE	FALSE
9	0	TRUE	0	0	TRUE	30.4	"good"	8.591717	0	12	60.78234	"female"	FALSE	FALSE
7	0	TRUE	0	0	TRUE	30.4	"good"	8.591717	0	12	61.78234	"female"	FALSE	FALSE
27	3.931826	FALSE	6.408529	7.101676	TRUE	13.73189	"poor"	8.883146	0.6931472	10	58.62012	"female"	FALSE	FALSE
0	3.931826	FALSE	6.408529	7.101676	TRUE	13.73189	"poor"	8.883146	0.6931472	10	59.62012	"female"	FALSE	FALSE
0	3.931826	FALSE	6.408529	7.101676	TRUE	13.73189	"poor"	8.883146	0.6931472	10	60.62012	"female"	FALSE	FALSE
0	3.931826	FALSE	6.408529	7.101676	FALSE	13.73189	"good"	8.883146	0.6931472	12	56.95825	"male"	FALSE	FALSE
9	3.931826	FALSE	6.408529	7.101676	FALSE	13.73189	"good"	8.883146	0.6931472	12	57.95825	"male"	FALSE	FALSE
11	3.931826	FALSE	6.408529	7.101676	FALSE	13.73189	"good"	8.883146	0.6931472	12	58.95825	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.21841	0.6931472	12	58.64476	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.21841	0.6931472	12	59.64476	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.21841	0.6931472	12	60.64476	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.21841	0.6931472	12	61.64476	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"excellent"	9.21841	0.6931472	12	62.64476	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.21841	0.6931472	12	56.42437	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.21841	0.6931472	12	57.42437	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.21841	0.6931472	12	58.42437	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.21841	0.6931472	12	59.42437	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"excellent"	9.21841	0.6931472	12	60.42437	"female"	FALSE	FALSE
2	3.931826	FALSE	6.50129	7.194437	FALSE	17.4	"good"	8.550937	0	8	57.07324	"female"	FALSE	FALSE
3	3.931826	FALSE	6.50129	7.194437	FALSE	17.4	"good"	8.550937	0	8	58.07324	"female"	FALSE	FALSE
2	3.931826	FALSE	6.50129	7.194437	FALSE	17.4	"good"	8.550937	0	8	59.07324	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.951326	1.386294	16	3.863107	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.951326	1.386294	16	4.863108	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.951326	1.386294	16	5.863108	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.951326	1.386294	16	6.863108	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	8.951326	1.386294	16	7.863108	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.951326	1.386294	18	32.76112	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.951326	1.386294	18	33.76112	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.951326	1.386294	18	34.76112	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.951326	1.386294	18	35.76112	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.951326	1.386294	18	36.76112	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.951326	1.386294	16	31.86311	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.951326	1.386294	16	32.86311	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.951326	1.386294	16	33.86311	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.951326	1.386294	16	34.86311	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"good"	8.951326	1.386294	16	35.86311	"female"	FALSE	FALSE
1	0	TRUE	6.855409	0	FALSE	8.7	"excellent"	9.563799	0.6931472	17	32.47091	"male"	FALSE	FALSE
0	0	TRUE	6.855409	0	FALSE	8.7	"excellent"	9.563799	0.6931472	17	33.47091	"male"	FALSE	FALSE
0	0	TRUE	6.855409	0	FALSE	8.7	"excellent"	9.563799	0.6931472	17	34.47091	"male"	FALSE	FALSE
13	0	TRUE	6.855409	0	FALSE	30.4	"excellent"	9.563799	0.6931472	12	28.13963	"female"	FALSE	FALSE
8	0	TRUE	6.855409	0	FALSE	30.4	"excellent"	9.563799	0.6931472	12	29.13963	"female"	FALSE	FALSE
11	0	TRUE	6.855409	0	FALSE	30.4	"excellent"	9.563799	0.6931472	12	30.13963	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.702075	0.6931472	12	53.42094	"male"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.702075	0.6931472	12	54.42094	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.702075	0.6931472	12	55.42094	"male"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.702075	0.6931472	12	56.42094	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	21.7	"good"	9.702075	0.6931472	12	57.42094	"male"	FALSE	FALSE
5	0	TRUE	6.907755	0	TRUE	30.4	"fair"	9.702075	0.6931472	13	51.39767	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	TRUE	30.4	"fair"	9.702075	0.6931472	13	52.39767	"female"	FALSE	FALSE
3	0	TRUE	6.907755	0	TRUE	30.4	"fair"	9.702075	0.6931472	13	53.39767	"female"	FALSE	FALSE
13	0	TRUE	6.907755	0	TRUE	30.4	"fair"	9.702075	0.6931472	13	54.39767	"female"	FALSE	FALSE
6	0	TRUE	6.907755	0	TRUE	30.4	"fair"	9.702075	0.6931472	13	55.39767	"female"	FALSE	FALSE
1	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	11.20055	"male"	TRUE	FALSE
0	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	12.20055	"male"	TRUE	FALSE
1	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	13.20055	"male"	TRUE	FALSE
2	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	13.28679	"male"	TRUE	FALSE
2	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	14.28679	"male"	TRUE	FALSE
3	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	15.28679	"male"	TRUE	FALSE
9	3.931826	FALSE	6.536692	7.229839	TRUE	13.73189	"good"	9.309175	1.386294	12	36.48186	"female"	FALSE	FALSE
7	3.931826	FALSE	6.536692	7.229839	TRUE	13.73189	"good"	9.309175	1.386294	12	37.48186	"female"	FALSE	FALSE
5	3.931826	FALSE	6.536692	7.229839	TRUE	13.73189	"good"	9.309175	1.386294	12	38.48186	"female"	FALSE	FALSE
0	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	12.20534	"female"	TRUE	FALSE
0	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	13.20534	"female"	TRUE	FALSE
1	3.931826	FALSE	6.536692	7.229839	FALSE	13.73189	"excellent"	9.309175	1.386294	12	14.20534	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	12	37.25667	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	12	38.25667	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	12	39.25667	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	18	41.35524	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	18	42.35524	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	18	43.35524	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	12	9.141684	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	12	10.14168	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.983204	1.609438	12	11.14168	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.983204	1.609438	12	11.54552	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.983204	1.609438	12	12.54552	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.983204	1.609438	12	13.54552	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.983204	1.609438	12	6.004107	"male"	TRUE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.983204	1.609438	12	7.004107	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.983204	1.609438	12	8.004107	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.609438	12	15.73443	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	12	16.73443	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	12	17.73443	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	12	18.73443	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	12	19.73443	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.609438	12	17.26763	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	18.26763	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	19.26763	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	20.26763	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	21.26763	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.609438	12	37.77139	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	38.77139	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	39.77139	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	40.77139	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	41.77139	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.609438	12	14.78713	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	15.78713	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	16.78713	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	17.78713	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.352452	1.791759	12	18.78713	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.609438	18	36.88706	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	18	37.88706	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	18	38.88706	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	18	39.88706	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.352452	1.791759	18	40.88706	"male"	FALSE	FALSE
0	0	TRUE	6.802395	0	FALSE	13	"excellent"	9.164297	1.386294	12	32.92539	"male"	FALSE	FALSE
0	0	TRUE	6.802395	0	FALSE	13	"excellent"	9.164297	1.386294	12	33.92539	"male"	FALSE	FALSE
0	0	TRUE	6.802395	0	FALSE	13	"excellent"	9.164297	1.386294	12	34.92539	"male"	FALSE	FALSE
0	0	TRUE	6.802395	0	FALSE	13	"excellent"	9.164297	1.386294	12	29.96852	"female"	FALSE	FALSE
1	0	TRUE	6.802395	0	FALSE	13	"excellent"	9.164297	1.386294	12	30.96852	"female"	FALSE	FALSE
0	0	TRUE	6.802395	0	FALSE	13	"excellent"	9.164297	1.386294	12	31.96852	"female"	FALSE	FALSE
3	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.164297	1.386294	12	9.245722	"male"	TRUE	FALSE
1	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.164297	1.386294	12	10.24572	"male"	TRUE	FALSE
1	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.164297	1.386294	12	11.24572	"male"	TRUE	FALSE
1	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.164297	1.386294	12	12.4052	"female"	TRUE	FALSE
1	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.164297	1.386294	12	13.4052	"female"	TRUE	FALSE
1	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.164297	1.386294	12	14.4052	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.742668	1.098612	17	30.54346	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.742668	1.386294	17	31.54346	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.742668	1.386294	17	32.54346	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.742668	1.098612	15	3.126626	"female"	TRUE	FALSE
22	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.742668	1.386294	15	4.126626	"female"	TRUE	FALSE
41	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.742668	1.386294	15	5.126626	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.742668	1.098612	15	28.36413	"female"	FALSE	FALSE
22	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.742668	1.386294	15	29.36413	"female"	FALSE	FALSE
65	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.742668	1.386294	15	30.36413	"female"	FALSE	FALSE
0	0	FALSE	5.257495	0	FALSE	8.7	"good"	9.132889	1.098612	17	31.62218	"male"	FALSE	FALSE
2	0	FALSE	5.257495	0	FALSE	8.7	"good"	9.132889	1.098612	17	32.62218	"male"	FALSE	FALSE
0	0	FALSE	5.257495	0	FALSE	8.7	"good"	9.132889	1.098612	17	33.62218	"male"	FALSE	FALSE
2	0	FALSE	5.257495	0	FALSE	17.4	"good"	9.132889	1.098612	12	28.39425	"female"	FALSE	FALSE
3	0	FALSE	5.257495	0	FALSE	17.4	"good"	9.132889	1.098612	12	29.39425	"female"	FALSE	FALSE
1	0	FALSE	5.257495	0	FALSE	17.4	"good"	9.132889	1.098612	12	30.39425	"female"	FALSE	FALSE
4	0	FALSE	5.257495	0	FALSE	13.73189	"excellent"	9.132889	1.098612	12	4.202601	"female"	TRUE	FALSE
0	0	FALSE	5.257495	0	FALSE	13.73189	"excellent"	9.132889	1.098612	12	5.202601	"female"	TRUE	FALSE
3	0	FALSE	5.257495	0	FALSE	13.73189	"excellent"	9.132889	1.098612	12	6.202601	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.48497	1.386294	12	13.07598	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.48497	1.386294	12	14.07598	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.48497	1.386294	12	15.07598	"female"	TRUE	FALSE
4	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.48497	1.386294	12	16.07598	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.48497	1.386294	12	17.07598	"female"	TRUE	FALSE
34	0	FALSE	4.094345	0	FALSE	13.73189	"good"	9.48497	1.386294	12	9.453798	"male"	TRUE	FALSE
22	0	FALSE	4.094345	0	FALSE	13.73189	"good"	9.48497	1.386294	12	10.4538	"male"	TRUE	FALSE
31	0	FALSE	4.094345	0	FALSE	13.73189	"good"	9.48497	1.386294	12	11.4538	"male"	TRUE	FALSE
4	0	FALSE	4.094345	0	FALSE	13.73189	"good"	9.48497	1.386294	12	12.4538	"male"	TRUE	FALSE
7	0	FALSE	4.094345	0	FALSE	13.73189	"good"	9.48497	1.386294	12	13.4538	"male"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	17.4	"excellent"	9.48497	1.386294	12	37.65366	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	FALSE	17.4	"excellent"	9.48497	1.386294	12	38.65366	"female"	FALSE	FALSE
2	0	FALSE	4.094345	0	FALSE	17.4	"excellent"	9.48497	1.386294	12	39.65366	"female"	FALSE	FALSE
10	0	FALSE	4.094345	0	FALSE	17.4	"excellent"	9.48497	1.386294	12	40.65366	"female"	FALSE	FALSE
12	0	FALSE	4.094345	0	FALSE	17.4	"excellent"	9.48497	1.386294	12	41.65366	"female"	FALSE	FALSE
28	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.48497	1.386294	16	40.26831	"male"	FALSE	FALSE
9	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.48497	1.386294	16	41.26831	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.48497	1.386294	16	42.26831	"male"	FALSE	FALSE
9	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.48497	1.386294	16	43.26831	"male"	FALSE	FALSE
24	0	FALSE	4.094345	0	FALSE	13	"excellent"	9.48497	1.386294	16	44.26831	"male"	FALSE	FALSE
6	0	FALSE	5.552959	0	FALSE	17.4	"good"	8.383394	0	16	58.75154	"female"	FALSE	FALSE
5	0	FALSE	5.552959	0	FALSE	17.4	"good"	8.383394	0	16	59.75154	"female"	FALSE	FALSE
6	0	FALSE	5.552959	0	FALSE	17.4	"good"	8.383394	0	16	60.75154	"female"	FALSE	FALSE
11	0	FALSE	5.552959	0	FALSE	17.4	"good"	8.383394	0	16	61.75154	"female"	FALSE	FALSE
10	0	FALSE	5.552959	0	FALSE	17.4	"good"	8.383394	0	16	62.75154	"female"	FALSE	FALSE
4	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	36.5421	"female"	FALSE	FALSE
4	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	37.5421	"female"	FALSE	FALSE
5	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	38.5421	"female"	FALSE	FALSE
4	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	39.5421	"female"	FALSE	FALSE
10	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	40.5421	"female"	FALSE	FALSE
16	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	14.86379	"male"	TRUE	FALSE
8	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	15.86379	"male"	TRUE	FALSE
7	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	16.86379	"male"	TRUE	FALSE
5	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	17.86379	"male"	TRUE	FALSE
7	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	18.86379	"male"	FALSE	FALSE
4	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	42.35455	"male"	FALSE	FALSE
1	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	43.35455	"male"	FALSE	FALSE
4	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	44.35455	"male"	FALSE	FALSE
4	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	45.35455	"male"	FALSE	FALSE
2	0	FALSE	4.430817	0	FALSE	13	"excellent"	9.633092	1.386294	17	46.35455	"male"	FALSE	FALSE
4	0	FALSE	4.430817	0	FALSE	13.73189	"good"	9.633092	1.386294	17	11.75633	"female"	TRUE	FALSE
11	0	FALSE	4.430817	0	FALSE	13.73189	"good"	9.633092	1.386294	17	12.75633	"female"	TRUE	FALSE
13	0	FALSE	4.430817	0	FALSE	13.73189	"good"	9.633092	1.386294	17	13.75633	"female"	TRUE	FALSE
6	0	FALSE	4.430817	0	FALSE	13.73189	"good"	9.633092	1.386294	17	14.75633	"female"	TRUE	FALSE
9	0	FALSE	4.430817	0	FALSE	13.73189	"good"	9.633092	1.386294	17	15.75633	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	12	11.55647	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	12	12.55647	"male"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	12	13.55647	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"good"	9.842258	1.609438	12	50.33812	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.842258	1.609438	12	51.33812	"female"	FALSE	FALSE
12	0	FALSE	0	0	FALSE	13.73189	"good"	9.842258	1.609438	12	52.33812	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	12	16.14511	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	12	17.14511	"male"	TRUE	FALSE
18	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	12	18.14511	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	16	50.37098	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	16	51.37098	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.842258	1.609438	16	52.37098	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.842258	1.609438	13	22.14647	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"good"	9.842258	1.609438	13	23.14647	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"good"	9.842258	1.609438	13	24.14647	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.444127	0.6931472	11	18.35729	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.444127	0.6931472	11	19.35729	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.444127	0.6931472	11	20.35729	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.444127	0.6931472	11	21.35729	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"good"	9.444127	0.6931472	11	22.35729	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.444127	0.6931472	15	53.1499	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.444127	0.6931472	15	54.1499	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.444127	0.6931472	15	55.1499	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.444127	0.6931472	15	56.1499	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.444127	0.6931472	15	57.1499	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	8.788501	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	9.788501	"female"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	10.7885	"female"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	11.7885	"female"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	12.7885	"female"	TRUE	FALSE
10	0	TRUE	0	0	TRUE	30.4	"good"	9.727398	1.609438	15	31.46612	"female"	FALSE	FALSE
3	0	TRUE	0	0	TRUE	30.4	"good"	9.727398	1.609438	15	32.46612	"female"	FALSE	FALSE
1	0	TRUE	0	0	TRUE	30.4	"good"	9.727398	1.609438	15	33.46612	"female"	FALSE	FALSE
2	0	TRUE	0	0	TRUE	30.4	"good"	9.727398	1.609438	15	34.46612	"female"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	30.4	"good"	9.727398	1.609438	15	35.46612	"female"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	0	"excellent"	9.727398	1.609438	20	32.3039	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	0	"excellent"	9.727398	1.609438	20	33.3039	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	0	"excellent"	9.727398	1.609438	20	34.3039	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	0	"excellent"	9.727398	1.609438	20	35.3039	"male"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	0	"excellent"	9.727398	1.609438	20	36.3039	"male"	FALSE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	6.757016	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	7.757016	"male"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	8.757016	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	9.757016	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	10.75702	"male"	TRUE	FALSE
6	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	4.459959	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	5.459959	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	6.459959	"male"	TRUE	FALSE
4	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	7.459959	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	9.727398	1.609438	15	8.459959	"male"	TRUE	FALSE
11	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	2.302532	"male"	TRUE	FALSE
7	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	3.302532	"male"	TRUE	FALSE
9	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	4.302533	"male"	TRUE	FALSE
6	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	5.302533	"male"	TRUE	FALSE
4	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	6.302533	"male"	TRUE	FALSE
8	3.931826	FALSE	6.906755	7.599902	FALSE	17.4	"good"	9.552628	1.386294	16	33.29227	"female"	FALSE	FALSE
6	3.931826	FALSE	6.906755	7.599902	FALSE	17.4	"good"	9.552628	1.386294	16	34.29227	"female"	FALSE	FALSE
6	3.931826	FALSE	6.906755	7.599902	FALSE	17.4	"good"	9.552628	1.386294	16	35.29227	"female"	FALSE	FALSE
6	3.931826	FALSE	6.906755	7.599902	FALSE	17.4	"good"	9.552628	1.386294	16	36.29227	"female"	FALSE	FALSE
12	3.931826	FALSE	6.906755	7.599902	FALSE	17.4	"good"	9.552628	1.386294	16	37.29227	"female"	FALSE	FALSE
3	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	4.383299	"female"	TRUE	FALSE
7	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	5.383299	"female"	TRUE	FALSE
13	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	6.383299	"female"	TRUE	FALSE
10	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	7.383299	"female"	TRUE	FALSE
2	3.931826	FALSE	6.906755	7.599902	FALSE	13.73189	"good"	9.552628	1.386294	16	8.383299	"female"	TRUE	FALSE
2	3.931826	FALSE	6.906755	7.599902	FALSE	26.1	"good"	9.552628	1.386294	18	37.89459	"male"	FALSE	FALSE
2	3.931826	FALSE	6.906755	7.599902	FALSE	26.1	"good"	9.552628	1.386294	18	38.89459	"male"	FALSE	FALSE
4	3.931826	FALSE	6.906755	7.599902	FALSE	26.1	"good"	9.552628	1.386294	18	39.89459	"male"	FALSE	FALSE
3	3.931826	FALSE	6.906755	7.599902	FALSE	26.1	"good"	9.552628	1.386294	18	40.89459	"male"	FALSE	FALSE
4	3.931826	FALSE	6.906755	7.599902	FALSE	26.1	"good"	9.552628	1.386294	18	41.89459	"male"	FALSE	FALSE
8	0	FALSE	3.178054	0	TRUE	13.73189	"good"	8.676677	0	12	60.92539	"female"	FALSE	FALSE
1	0	FALSE	3.178054	0	TRUE	13.73189	"good"	8.676677	0	12	61.92539	"female"	FALSE	FALSE
0	0	FALSE	3.178054	0	TRUE	13.73189	"good"	8.676677	0	12	62.92539	"female"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	TRUE	8.7	"good"	9.051217	1.098612	12	19.69336	"male"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	TRUE	8.7	"good"	9.051217	1.098612	12	20.69336	"male"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	TRUE	8.7	"good"	9.051217	1.098612	12	21.69336	"male"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	TRUE	8.7	"good"	9.051217	1.098612	12	22.69336	"male"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	TRUE	8.7	"good"	9.051217	0.6931472	12	23.69336	"male"	FALSE	FALSE
1	3.931826	FALSE	6.309918	7.003066	FALSE	8.7	"good"	9.051217	1.098612	12	57.79055	"male"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	FALSE	8.7	"good"	9.051217	1.098612	12	58.79055	"male"	FALSE	FALSE
0	3.931826	FALSE	6.309918	7.003066	FALSE	8.7	"good"	9.051217	1.098612	12	59.79055	"male"	FALSE	FALSE
4	3.931826	FALSE	6.309918	7.003066	FALSE	8.7	"good"	9.051217	1.098612	12	60.79055	"male"	FALSE	FALSE
10	3.931826	FALSE	6.309918	7.003066	FALSE	21.7	"good"	9.051217	1.098612	11	48.32033	"female"	FALSE	FALSE
22	3.931826	FALSE	6.309918	7.003066	FALSE	21.7	"good"	9.051217	1.098612	11	49.32033	"female"	FALSE	FALSE
8	3.931826	FALSE	6.309918	7.003066	FALSE	21.7	"good"	9.051217	1.098612	11	50.32033	"female"	FALSE	FALSE
22	3.931826	FALSE	6.309918	7.003066	FALSE	21.7	"good"	9.051217	1.098612	11	51.32033	"female"	FALSE	FALSE
18	3.931826	FALSE	6.309918	7.003066	FALSE	21.7	"good"	9.051217	0.6931472	11	52.32033	"female"	FALSE	FALSE
7	0	TRUE	6.802395	0	FALSE	4.3	"excellent"	9.820909	1.609438	14	15.1102	"female"	TRUE	FALSE
7	0	TRUE	6.802395	0	FALSE	4.3	"excellent"	9.820909	1.609438	14	16.1102	"female"	TRUE	FALSE
2	0	TRUE	6.802395	0	FALSE	4.3	"excellent"	9.820909	1.609438	14	17.1102	"female"	TRUE	FALSE
0	0	TRUE	6.802395	0	FALSE	4.3	"excellent"	9.820909	1.609438	9	42.02601	"male"	FALSE	FALSE
3	0	TRUE	6.802395	0	FALSE	4.3	"excellent"	9.820909	1.609438	9	43.02601	"male"	FALSE	FALSE
0	0	TRUE	6.802395	0	FALSE	4.3	"excellent"	9.820909	1.609438	9	44.02601	"male"	FALSE	FALSE
6	0	TRUE	6.802395	0	FALSE	0	"excellent"	9.820909	1.609438	12.32507	18.02601	"female"	FALSE	FALSE
5	0	TRUE	6.802395	0	FALSE	0	"excellent"	9.820909	1.609438	12.32507	19.02601	"female"	FALSE	FALSE
7	0	TRUE	6.802395	0	FALSE	0	"excellent"	9.820909	1.609438	12.32507	20.02601	"female"	FALSE	FALSE
2	0	TRUE	6.802395	0	FALSE	17.4	"excellent"	9.820909	1.609438	14	40.57221	"female"	FALSE	FALSE
8	0	TRUE	6.802395	0	FALSE	17.4	"excellent"	9.820909	1.609438	14	41.57221	"female"	FALSE	FALSE
3	0	TRUE	6.802395	0	FALSE	17.4	"excellent"	9.820909	1.609438	14	42.57221	"female"	FALSE	FALSE
3	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.820909	1.609438	14	4.128679	"male"	TRUE	FALSE
4	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.820909	1.609438	14	5.128679	"male"	TRUE	FALSE
2	0	TRUE	6.802395	0	FALSE	13.73189	"excellent"	9.820909	1.609438	14	6.128679	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.2511	0.6931472	13	58.88843	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.2511	0.6931472	13	59.88843	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.2511	0.6931472	13	60.88843	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.2511	0.6931472	13	61.88843	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13	"good"	9.2511	0.6931472	13	62.88843	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	9.2511	0.6931472	12	56.03559	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	9.2511	0.6931472	12	57.03559	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	9.2511	0.6931472	12	58.03559	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	9.2511	0.6931472	12	59.03559	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	9.2511	0.6931472	12	60.03559	"female"	FALSE	FALSE
1	0	FALSE	6.408529	0	FALSE	13	"good"	10.24234	0.6931472	16	56.89254	"female"	FALSE	FALSE
2	0	FALSE	6.408529	0	FALSE	13	"good"	10.24234	0.6931472	16	57.89254	"female"	FALSE	FALSE
1	0	FALSE	6.408529	0	FALSE	13	"good"	10.24234	0.6931472	16	58.89254	"female"	FALSE	FALSE
5	0	FALSE	6.408529	0	TRUE	34.8	"good"	10.24234	0.6931472	16	58.22587	"male"	FALSE	FALSE
9	0	FALSE	6.408529	0	TRUE	34.8	"good"	10.24234	0.6931472	16	59.22587	"male"	FALSE	FALSE
11	0	FALSE	6.408529	0	TRUE	34.8	"good"	10.24234	0.6931472	16	60.22587	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	12	32.66804	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	12	33.66804	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	12	34.66804	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	12	35.66804	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	12	36.66804	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	16	32.12868	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	16	33.12868	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	16	34.12868	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	16	35.12868	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13	"excellent"	9.547681	1.098612	16	36.12868	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.547681	1.098612	16	6.009583	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.547681	1.098612	16	7.009583	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.547681	1.098612	16	8.009583	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.547681	1.098612	16	9.009583	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.547681	1.098612	16	10.00958	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.399596	0	12	60.35866	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.399596	0	12	61.35866	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	8.7	"excellent"	9.399596	0	12	62.35866	"female"	FALSE	FALSE
5	3.931826	FALSE	5.003946	5.697093	FALSE	17.4	"excellent"	9.275341	1.386294	16	31.42779	"female"	FALSE	FALSE
3	3.931826	FALSE	5.003946	5.697093	FALSE	17.4	"excellent"	9.275341	1.386294	16	32.42779	"female"	FALSE	FALSE
2	3.931826	FALSE	5.003946	5.697093	FALSE	17.4	"excellent"	9.275341	1.386294	16	33.42779	"female"	FALSE	FALSE
5	3.931826	FALSE	5.003946	5.697093	FALSE	17.4	"excellent"	9.275341	1.386294	16	34.42779	"female"	FALSE	FALSE
4	3.931826	FALSE	5.003946	5.697093	FALSE	17.4	"excellent"	9.275341	1.386294	16	35.42779	"female"	FALSE	FALSE
3	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	8.29295	"female"	TRUE	FALSE
2	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	9.29295	"female"	TRUE	FALSE
6	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	10.29295	"female"	TRUE	FALSE
4	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	11.29295	"female"	TRUE	FALSE
3	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	12.29295	"female"	TRUE	FALSE
4	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"good"	9.275341	1.386294	16	6.354552	"male"	TRUE	FALSE
3	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"good"	9.275341	1.386294	16	7.354552	"male"	TRUE	FALSE
0	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"good"	9.275341	1.386294	16	8.354551	"male"	TRUE	FALSE
0	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"good"	9.275341	1.386294	16	9.354551	"male"	TRUE	FALSE
3	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"good"	9.275341	1.386294	16	10.35455	"male"	TRUE	FALSE
4	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	3.52909	"female"	TRUE	FALSE
2	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	4.529089	"female"	TRUE	FALSE
6	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	5.529089	"female"	TRUE	FALSE
0	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	6.529089	"female"	TRUE	FALSE
5	3.931826	FALSE	5.003946	5.697093	FALSE	13.73189	"excellent"	9.275341	1.386294	16	7.529089	"female"	TRUE	FALSE
3	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	52.13963	"male"	FALSE	FALSE
0	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	53.13963	"male"	FALSE	FALSE
1	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	54.13963	"male"	FALSE	FALSE
2	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	55.13963	"male"	FALSE	FALSE
0	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	56.13963	"male"	FALSE	FALSE
6	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	49.43737	"female"	FALSE	FALSE
0	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	50.43737	"female"	FALSE	FALSE
3	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	51.43737	"female"	FALSE	FALSE
1	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	52.43737	"female"	FALSE	FALSE
0	0	TRUE	6.75227	0	FALSE	13.73189	"excellent"	9.185761	0.6931472	12	53.43737	"female"	FALSE	FALSE
2	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	31.03901	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	32.03901	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	33.03901	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	17	28.62697	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	17	29.62697	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	17	30.62697	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	6.718686	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	7.718686	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	8.718686	"male"	TRUE	FALSE
7	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	1.61807	"male"	TRUE	FALSE
4	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	2.61807	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.605563	1.386294	16	3.61807	"male"	TRUE	FALSE
0	3.931826	FALSE	5.852202	6.190315	FALSE	13.73189	"good"	6.987385	0.6931472	8	12.05202	"male"	TRUE	FALSE
0	3.931826	FALSE	5.852202	6.190315	FALSE	13.73189	"good"	6.987385	0.6931472	8	13.05202	"male"	TRUE	FALSE
1	3.931826	FALSE	5.852202	6.190315	FALSE	13.73189	"good"	6.987385	0.6931472	8	14.05202	"male"	TRUE	FALSE
2	3.931826	FALSE	5.852202	6.190315	TRUE	30.4	"fair"	6.987385	0.6931472	8	56.62697	"female"	FALSE	FALSE
0	3.931826	FALSE	5.852202	6.190315	TRUE	30.4	"fair"	6.987385	0.6931472	8	57.62697	"female"	FALSE	FALSE
0	3.931826	FALSE	5.852202	6.190315	TRUE	30.4	"fair"	6.987385	0.6931472	8	58.62697	"female"	FALSE	FALSE
4	0	TRUE	6.907755	0	FALSE	8.7	"good"	8.941066	0.6931472	12	51.37577	"male"	FALSE	TRUE
1	0	TRUE	6.907755	0	FALSE	8.7	"good"	8.941066	0.6931472	12	52.37577	"male"	FALSE	TRUE
1	0	TRUE	6.907755	0	FALSE	8.7	"good"	8.941066	0.6931472	12	53.37577	"male"	FALSE	TRUE
3	0	TRUE	6.907755	0	FALSE	13	"good"	8.941066	0.6931472	12	48.92813	"female"	FALSE	TRUE
3	0	TRUE	6.907755	0	FALSE	13	"good"	8.941066	0.6931472	12	49.92813	"female"	FALSE	TRUE
1	0	TRUE	6.907755	0	FALSE	13	"good"	8.941066	0.6931472	12	50.92813	"female"	FALSE	TRUE
0	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	11	18.72416	"female"	FALSE	TRUE
0	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	11	19.72416	"female"	FALSE	TRUE
3	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.197225	11	20.72416	"female"	FALSE	TRUE
6	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	11	21.72416	"female"	FALSE	TRUE
5	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	11	22.72416	"female"	FALSE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	13	9.234771	"female"	TRUE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	13	10.23477	"female"	TRUE	TRUE
4	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.197225	13	11.23477	"female"	TRUE	TRUE
0	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	13	12.23477	"female"	TRUE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	13	13.23477	"female"	TRUE	TRUE
5	0	FALSE	5.783825	0	FALSE	8.7	"excellent"	9.163564	2.079442	13	35.2909	"female"	FALSE	TRUE
8	0	FALSE	5.783825	0	FALSE	8.7	"excellent"	9.163564	2.079442	13	36.2909	"female"	FALSE	TRUE
1	0	FALSE	5.783825	0	FALSE	8.7	"excellent"	9.163564	2.197225	13	37.2909	"female"	FALSE	TRUE
1	0	FALSE	5.783825	0	FALSE	8.7	"excellent"	9.163564	2.302585	13	38.2909	"female"	FALSE	TRUE
0	0	FALSE	5.783825	0	FALSE	8.7	"excellent"	9.163564	2.302585	13	39.2909	"female"	FALSE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	13	10.78987	"male"	TRUE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	13	11.78987	"male"	TRUE	TRUE
2	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.197225	13	12.78987	"male"	TRUE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	13	13.78987	"male"	TRUE	TRUE
0	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	13	14.78987	"male"	TRUE	TRUE
4	0	FALSE	5.783825	0	FALSE	0	"excellent"	9.163564	2.079442	13	20.62149	"female"	FALSE	TRUE
4	0	FALSE	5.783825	0	FALSE	0	"excellent"	9.163564	2.079442	13	21.62149	"female"	FALSE	TRUE
9	0	FALSE	5.783825	0	FALSE	0	"excellent"	9.163564	2.197225	13	22.62149	"female"	FALSE	TRUE
4	0	FALSE	5.783825	0	FALSE	0	"excellent"	9.163564	2.302585	13	23.62149	"female"	FALSE	TRUE
7	0	FALSE	5.783825	0	FALSE	0	"excellent"	9.163564	2.302585	13	24.62149	"female"	FALSE	TRUE
0	0	FALSE	5.783825	0	FALSE	0	"good"	9.163564	2.079442	3	46.31348	"male"	FALSE	TRUE
2	0	FALSE	5.783825	0	FALSE	0	"good"	9.163564	2.079442	3	47.31348	"male"	FALSE	TRUE
0	0	FALSE	5.783825	0	FALSE	0	"good"	9.163564	2.197225	3	48.31348	"male"	FALSE	TRUE
4	0	FALSE	5.783825	0	FALSE	0	"good"	9.163564	2.302585	3	49.31348	"male"	FALSE	TRUE
0	0	FALSE	5.783825	0	FALSE	0	"good"	9.163564	2.302585	3	50.31348	"male"	FALSE	TRUE
0	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	13	9.492128	"female"	TRUE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.079442	13	10.49213	"female"	TRUE	TRUE
1	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.197225	13	11.49213	"female"	TRUE	TRUE
0	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	13	12.49213	"female"	TRUE	TRUE
0	0	FALSE	5.783825	0	FALSE	13.73189	"excellent"	9.163564	2.302585	13	13.49213	"female"	TRUE	TRUE
3	0	FALSE	5.746203	0	TRUE	26.1	"poor"	8.692836	1.098612	9	50.58453	"female"	FALSE	TRUE
7	0	FALSE	5.746203	0	TRUE	26.1	"poor"	8.692836	1.098612	9	51.58453	"female"	FALSE	TRUE
6	0	FALSE	5.746203	0	TRUE	26.1	"poor"	8.692836	1.098612	9	52.58453	"female"	FALSE	TRUE
3	0	FALSE	5.746203	0	FALSE	17.4	"fair"	8.692836	1.098612	12.32507	18.05613	"female"	FALSE	TRUE
8	0	FALSE	5.746203	0	FALSE	17.4	"fair"	8.692836	1.098612	12.32507	19.05613	"female"	FALSE	TRUE
0	0	FALSE	5.746203	0	FALSE	17.4	"fair"	8.692836	1.098612	12.32507	20.05613	"female"	FALSE	TRUE
9	0	FALSE	5.746203	0	TRUE	34.8	"poor"	8.692836	1.098612	2	56	"male"	FALSE	TRUE
8	0	FALSE	5.746203	0	TRUE	34.8	"poor"	8.692836	1.098612	2	57	"male"	FALSE	TRUE
6	0	FALSE	5.746203	0	TRUE	34.8	"poor"	8.692836	1.098612	2	58	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499748	0	11	49.28679	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499748	0	11	50.28679	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499748	0	11	51.28679	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499748	0	11	52.28679	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.499748	0	11	53.28679	"female"	FALSE	FALSE
0	0	FALSE	5.31812	0	FALSE	13.73189	"excellent"	8.956297	0	11	21.3963	"male"	FALSE	FALSE
0	0	FALSE	5.31812	0	FALSE	13.73189	"excellent"	8.956297	0	11	22.3963	"male"	FALSE	FALSE
0	0	FALSE	5.31812	0	FALSE	13.73189	"excellent"	8.956297	0.6931472	11	23.3963	"male"	FALSE	FALSE
0	0	FALSE	5.31812	0	FALSE	13.73189	"excellent"	8.956297	0.6931472	11	24.3963	"male"	FALSE	FALSE
1	0	FALSE	5.31812	0	FALSE	13.73189	"excellent"	8.956297	0.6931472	11	25.3963	"male"	FALSE	FALSE
12	3.258096	FALSE	5.986452	6.79794	FALSE	13.73189	"excellent"	8.840877	1.386294	12	5.472964	"female"	TRUE	FALSE
12	3.258096	FALSE	5.986452	6.79794	FALSE	13.73189	"excellent"	8.840877	1.386294	12	6.472964	"female"	TRUE	FALSE
7	3.258096	FALSE	5.986452	6.79794	FALSE	13.73189	"excellent"	8.840877	1.386294	12	7.472964	"female"	TRUE	FALSE
21	3.258096	FALSE	5.986452	6.79794	TRUE	30.4	"poor"	8.840877	1.386294	8	38.43943	"male"	FALSE	FALSE
10	3.258096	FALSE	5.986452	6.79794	TRUE	30.4	"poor"	8.840877	1.386294	8	39.43943	"male"	FALSE	FALSE
12	3.258096	FALSE	5.986452	6.79794	TRUE	30.4	"poor"	8.840877	1.386294	8	40.43943	"male"	FALSE	FALSE
38	3.258096	FALSE	5.986452	6.79794	FALSE	26.1	"good"	8.840877	1.386294	12	33.98768	"female"	FALSE	FALSE
13	3.258096	FALSE	5.986452	6.79794	FALSE	26.1	"good"	8.840877	1.386294	12	34.98768	"female"	FALSE	FALSE
15	3.258096	FALSE	5.986452	6.79794	FALSE	26.1	"good"	8.840877	1.386294	12	35.98768	"female"	FALSE	FALSE
35	3.258096	FALSE	5.986452	6.79794	FALSE	13.73189	"excellent"	8.840877	1.386294	12	8.221766	"male"	TRUE	FALSE
46	3.258096	FALSE	5.986452	6.79794	FALSE	13.73189	"excellent"	8.840877	1.386294	12	9.221766	"male"	TRUE	FALSE
31	3.258096	FALSE	5.986452	6.79794	FALSE	13.73189	"excellent"	8.840877	1.386294	12	10.22177	"male"	TRUE	FALSE
13	3.258096	FALSE	5.627621	7.013916	TRUE	13.73189	"excellent"	9.163564	0	13	54.53799	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"good"	8.916154	1.098612	11	20.3039	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	8.7	"good"	8.916154	1.098612	11	21.3039	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"good"	8.916154	1.098612	11	22.3039	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13	"fair"	8.916154	1.098612	8	45.63723	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"fair"	8.916154	1.098612	8	46.63723	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13	"fair"	8.916154	1.098612	8	47.63723	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13	"fair"	8.916154	1.098612	7	45.59617	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13	"fair"	8.916154	1.098612	7	46.59617	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13	"fair"	8.916154	1.098612	7	47.59617	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.626683	1.609438	10	13.45654	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.626683	1.609438	10	14.45654	"male"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.626683	1.609438	10	15.45654	"male"	TRUE	FALSE
1	0	TRUE	0	0	TRUE	17.4	"excellent"	8.626683	1.609438	10	15.76728	"female"	TRUE	FALSE
3	0	TRUE	0	0	TRUE	17.4	"excellent"	8.626683	1.609438	10	16.76728	"female"	TRUE	FALSE
2	0	TRUE	0	0	TRUE	17.4	"excellent"	8.626683	1.609438	10	17.76728	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.626683	1.609438	10	10.36277	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.626683	1.609438	10	11.36277	"male"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.626683	1.609438	10	12.36277	"male"	TRUE	FALSE
2	0	TRUE	0	0	FALSE	8.7	"excellent"	8.626683	1.609438	10	50.59548	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	8.626683	1.609438	10	51.59548	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	8.626683	1.609438	10	52.59548	"female"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	13	"good"	8.626683	1.609438	9	49.30048	"male"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	13	"good"	8.626683	1.609438	9	50.30048	"male"	FALSE	FALSE
0	0	TRUE	0	0	TRUE	13	"good"	8.626683	1.609438	9	51.30048	"male"	FALSE	FALSE
0	0	TRUE	5.56452	0	FALSE	13.73189	"good"	8.663795	0	12	24.89254	"male"	FALSE	FALSE
13	0	TRUE	5.56452	0	FALSE	13.73189	"good"	8.663795	0	12	25.89254	"male"	FALSE	FALSE
6	0	TRUE	5.56452	0	FALSE	13.73189	"good"	8.663795	0	12	26.89254	"male"	FALSE	FALSE
1	0	TRUE	5.56452	0	FALSE	13.73189	"good"	8.663795	0	12	27.89254	"male"	FALSE	FALSE
4	0	TRUE	5.56452	0	FALSE	13.73189	"good"	8.663795	0	12	28.89254	"male"	FALSE	FALSE
3	0	FALSE	5.556828	0	TRUE	39.1	"good"	8.204827	0	12	60.11225	"female"	FALSE	FALSE
7	0	FALSE	5.556828	0	TRUE	39.1	"good"	8.204827	0	12	61.11225	"female"	FALSE	FALSE
10	0	FALSE	5.556828	0	TRUE	39.1	"good"	8.204827	0	12	62.11225	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	21.7	"good"	8.553164	0.6931472	16	27.6386	"female"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	21.7	"good"	8.553164	0.6931472	16	28.6386	"female"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	21.7	"good"	8.553164	0.6931472	16	29.6386	"female"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	13.73189	"good"	8.553164	0.6931472	16	2.201232	"female"	TRUE	TRUE
0	0	TRUE	0	0	FALSE	13.73189	"good"	8.553164	0.6931472	16	3.201232	"female"	TRUE	TRUE
0	0	TRUE	0	0	FALSE	13.73189	"good"	8.553164	0.6931472	16	4.201232	"female"	TRUE	TRUE
9	3.258096	FALSE	6.39693	7.783224	FALSE	17.4	"good"	8.340357	0	12	20.94182	"female"	FALSE	FALSE
15	3.258096	FALSE	6.39693	7.783224	FALSE	17.4	"good"	8.340357	0	12	21.94182	"female"	FALSE	FALSE
19	3.258096	FALSE	6.39693	7.783224	FALSE	17.4	"good"	8.340357	0	12	22.94182	"female"	FALSE	FALSE
2	3.258096	FALSE	6.39693	7.783224	FALSE	17.4	"good"	8.340357	0	12	23.94182	"female"	FALSE	FALSE
3	3.258096	FALSE	6.39693	7.783224	FALSE	17.4	"good"	8.340357	0.6931472	12	24.94182	"female"	FALSE	FALSE
9	3.258096	FALSE	0	0	FALSE	30.4	"fair"	5.513019	0.6931472	12	23.35113	"female"	FALSE	FALSE
12	3.258096	FALSE	0	0	FALSE	30.4	"fair"	5.513019	0.6931472	12	24.35113	"female"	FALSE	FALSE
9	3.258096	FALSE	0	0	FALSE	30.4	"fair"	5.513019	0.6931472	12	25.35113	"female"	FALSE	FALSE
8	3.258096	FALSE	0	0	FALSE	30.4	"fair"	5.513019	0.6931472	12	26.35113	"female"	FALSE	FALSE
12	3.258096	FALSE	0	0	FALSE	30.4	"fair"	5.513019	1.098612	12	27.35113	"female"	FALSE	FALSE
2	3.258096	FALSE	0	0	FALSE	13.73189	"good"	5.513019	0.6931472	12	4.741958	"male"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"good"	5.513019	0.6931472	12	5.741958	"male"	TRUE	FALSE
2	3.258096	FALSE	0	0	FALSE	13.73189	"good"	5.513019	0.6931472	12	6.741958	"male"	TRUE	FALSE
1	3.258096	FALSE	0	0	FALSE	13.73189	"good"	5.513019	0.6931472	12	7.741958	"male"	TRUE	FALSE
2	3.258096	FALSE	0	0	FALSE	13.73189	"good"	5.513019	1.098612	12	8.741958	"male"	TRUE	FALSE
2	3.258096	FALSE	0	0	FALSE	8.7	"good"	6.852522	0	12	19.68515	"female"	FALSE	FALSE
2	3.258096	FALSE	0	0	FALSE	8.7	"good"	6.852522	0	12	20.68515	"female"	FALSE	FALSE
5	3.258096	FALSE	0	0	FALSE	8.7	"good"	6.852522	0	12	21.68515	"female"	FALSE	FALSE
4	3.258096	FALSE	0	0	FALSE	8.7	"good"	6.852522	0	12	22.68515	"female"	FALSE	FALSE
8	3.258096	FALSE	0	0	FALSE	8.7	"good"	6.852522	0	12	23.68515	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	5.314168	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	6.314168	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	7.314168	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	6.707735	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	7.707735	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	8.707734	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	8.67625	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	9.67625	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"good"	9.085534	1.609438	10	10.67625	"female"	TRUE	FALSE
13	0	FALSE	0	0	FALSE	26.1	"good"	9.085534	1.609438	10	24.72553	"female"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	26.1	"good"	9.085534	1.609438	10	25.72553	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	26.1	"good"	9.085534	1.609438	10	26.72553	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	13	"good"	9.085534	1.609438	10	29.88912	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13	"good"	9.085534	1.609438	10	30.88912	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13	"good"	9.085534	1.609438	10	31.88912	"male"	FALSE	FALSE
0	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0.6931472	6	19.39767	"male"	FALSE	FALSE
0	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0.6931472	6	20.39767	"male"	FALSE	FALSE
0	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0.6931472	6	21.39767	"male"	FALSE	FALSE
3	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0.6931472	12	19.07461	"female"	FALSE	FALSE
0	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0.6931472	12	20.07461	"female"	FALSE	FALSE
6	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0.6931472	12	21.07461	"female"	FALSE	FALSE
8	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0	12	22.07461	"female"	FALSE	FALSE
17	3.931826	FALSE	0	5.111988	FALSE	13.73189	"excellent"	0.6931472	0	12	23.07461	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.5764	0.6931472	14	23.75633	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.5764	1.098612	14	24.75633	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.5764	1.098612	14	25.75633	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.5764	1.098612	14	26.75633	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	8.5764	1.098612	14	27.75633	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.5764	0.6931472	12	24.59411	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.5764	1.098612	12	25.59411	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.5764	1.098612	12	26.59411	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.5764	1.098612	12	27.59411	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.5764	1.098612	12	28.59411	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	6.9137	1.098612	12	3.156742	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	6.9137	1.386294	12	4.156742	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	6.9137	1.386294	12	5.156742	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	26.1	"fair"	6.9137	1.098612	12	25.50582	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	26.1	"fair"	6.9137	1.386294	12	26.50582	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	26.1	"fair"	6.9137	1.386294	12	27.50582	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	6.9137	1.098612	12	1.683778	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	6.9137	1.386294	12	2.683778	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"fair"	6.9137	1.386294	12	3.683778	"female"	TRUE	TRUE
1	0	FALSE	4.983607	0	FALSE	4.3	"excellent"	8.717582	0.6931472	12	21.74675	"male"	FALSE	FALSE
6	0	FALSE	4.983607	0	FALSE	4.3	"excellent"	8.717582	0.6931472	12	22.74675	"male"	FALSE	FALSE
2	0	FALSE	4.983607	0	FALSE	4.3	"excellent"	8.717582	1.098612	12	23.74675	"male"	FALSE	FALSE
9	0	FALSE	4.983607	0	FALSE	8.7	"excellent"	8.717582	0.6931472	12	20.68446	"female"	FALSE	FALSE
3	0	FALSE	4.983607	0	FALSE	8.7	"excellent"	8.717582	0.6931472	12	21.68446	"female"	FALSE	FALSE
3	0	FALSE	4.983607	0	FALSE	8.7	"excellent"	8.717582	1.098612	12	22.68446	"female"	FALSE	FALSE
5	0	FALSE	5.277298	0	FALSE	8.7	"good"	9.420083	1.609438	12	35.96714	"female"	FALSE	FALSE
2	0	FALSE	5.277298	0	FALSE	8.7	"good"	9.420083	1.609438	12	36.96714	"female"	FALSE	FALSE
3	0	FALSE	5.277298	0	FALSE	8.7	"good"	9.420083	1.609438	12	37.96714	"female"	FALSE	FALSE
2	0	FALSE	5.277298	0	TRUE	13.73189	"excellent"	9.420083	1.609438	12	15.54825	"male"	TRUE	FALSE
6	0	FALSE	5.277298	0	TRUE	13.73189	"excellent"	9.420083	1.609438	12	16.54825	"male"	TRUE	FALSE
2	0	FALSE	5.277298	0	TRUE	13.73189	"excellent"	9.420083	1.609438	12	17.54825	"male"	TRUE	FALSE
3	0	FALSE	5.277298	0	FALSE	13.73189	"excellent"	9.420083	1.609438	12	12.54757	"female"	TRUE	FALSE
2	0	FALSE	5.277298	0	FALSE	13.73189	"excellent"	9.420083	1.609438	12	13.54757	"female"	TRUE	FALSE
4	0	FALSE	5.277298	0	FALSE	13.73189	"excellent"	9.420083	1.609438	12	14.54757	"female"	TRUE	FALSE
3	0	FALSE	5.277298	0	FALSE	13.73189	"excellent"	9.420083	1.609438	12	9.667351	"female"	TRUE	FALSE
5	0	FALSE	5.277298	0	FALSE	13.73189	"excellent"	9.420083	1.609438	12	10.66735	"female"	TRUE	FALSE
4	0	FALSE	5.277298	0	FALSE	13.73189	"excellent"	9.420083	1.609438	12	11.66735	"female"	TRUE	FALSE
8	0	FALSE	5.277298	0	FALSE	21.7	"excellent"	9.420083	1.609438	13	37.24846	"male"	FALSE	FALSE
10	0	FALSE	5.277298	0	FALSE	21.7	"excellent"	9.420083	1.609438	13	38.24846	"male"	FALSE	FALSE
10	0	FALSE	5.277298	0	FALSE	21.7	"excellent"	9.420083	1.609438	13	39.24846	"male"	FALSE	FALSE
0	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.86096	0.6931472	16	8.64887	"female"	TRUE	TRUE
1	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.86096	0.6931472	16	9.64887	"female"	TRUE	TRUE
0	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.86096	0.6931472	16	10.64887	"female"	TRUE	TRUE
0	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.86096	0.6931472	16	11.64887	"female"	TRUE	TRUE
1	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.86096	0.6931472	16	12.64887	"female"	TRUE	TRUE
7	3.931826	FALSE	5.988961	6.682108	FALSE	8.7	"good"	8.86096	0.6931472	16	24.47912	"female"	FALSE	TRUE
10	3.931826	FALSE	5.988961	6.682108	FALSE	8.7	"good"	8.86096	0.6931472	16	25.47912	"female"	FALSE	TRUE
4	3.931826	FALSE	5.988961	6.682108	FALSE	8.7	"good"	8.86096	0.6931472	16	26.47912	"female"	FALSE	TRUE
0	3.931826	FALSE	5.988961	6.682108	FALSE	8.7	"good"	8.86096	0.6931472	16	27.47912	"female"	FALSE	TRUE
1	3.931826	FALSE	5.988961	6.682108	FALSE	8.7	"good"	8.86096	0.6931472	16	28.47912	"female"	FALSE	TRUE
9	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	1.330595	"female"	TRUE	FALSE
1	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	2.330595	"female"	TRUE	FALSE
2	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	3.330595	"female"	TRUE	FALSE
4	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	4.330595	"female"	TRUE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	5.330595	"female"	TRUE	FALSE
1	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	13	28.73922	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	13	29.73922	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	13	30.73922	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	13	31.73922	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	13	32.73922	"male"	FALSE	FALSE
8	3.931826	FALSE	0	7.570443	FALSE	13.73189	"good"	8.471969	1.386294	12	25.1718	"female"	FALSE	FALSE
5	3.931826	FALSE	0	7.570443	FALSE	13.73189	"good"	8.471969	1.386294	12	26.1718	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"good"	8.471969	1.386294	12	27.1718	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"good"	8.471969	1.386294	12	28.1718	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"good"	8.471969	1.386294	12	29.1718	"female"	FALSE	FALSE
3	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	4.134155	"female"	TRUE	FALSE
1	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	5.134155	"female"	TRUE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	6.134155	"female"	TRUE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	7.134155	"female"	TRUE	FALSE
0	3.931826	FALSE	0	7.570443	FALSE	13.73189	"excellent"	8.471969	1.386294	12	8.134154	"female"	TRUE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.327091	0	12	26.90212	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.327091	0	12	27.90212	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	8.327091	0	12	28.90212	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"fair"	0.6931472	0.6931472	13	21.62081	"male"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	13.73189	"fair"	0.6931472	1.098612	13	22.62081	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	13.73189	"fair"	0.6931472	1.098612	13	23.62081	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	0.6931472	0.6931472	14	21.13895	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.73189	"good"	0.6931472	1.098612	14	22.13895	"female"	FALSE	TRUE
7	0	FALSE	0	0	FALSE	13.73189	"good"	0.6931472	1.098612	14	23.13895	"female"	FALSE	TRUE
3	0	TRUE	6.475433	0	FALSE	13	"excellent"	9.163564	0.6931472	12	21.45106	"female"	FALSE	FALSE
6	0	TRUE	6.475433	0	FALSE	13	"excellent"	9.163564	0.6931472	12	22.45106	"female"	FALSE	FALSE
3	0	TRUE	6.475433	0	FALSE	13	"excellent"	9.163564	0.6931472	12	23.45106	"female"	FALSE	FALSE
0	0	TRUE	6.475433	0	FALSE	0	"excellent"	9.163564	0.6931472	12	24.15058	"male"	FALSE	FALSE
9	0	TRUE	6.475433	0	FALSE	0	"excellent"	9.163564	0.6931472	12	25.15058	"male"	FALSE	FALSE
0	0	TRUE	6.475433	0	FALSE	0	"excellent"	9.163564	0.6931472	12	26.15058	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	0.6931472	12	0.9390828	"male"	TRUE	FALSE
12	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	0.6931472	12	1.939083	"male"	TRUE	FALSE
44	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	0.6931472	12	2.939083	"male"	TRUE	FALSE
56	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.098612	12	3.939083	"male"	TRUE	FALSE
38	0	FALSE	0	0	FALSE	13.73189	"excellent"	9.163564	1.098612	12	4.939083	"male"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	8.7	"excellent"	9.163564	0.6931472	12	27.58932	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	8.7	"excellent"	9.163564	0.6931472	12	28.58932	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	8.7	"excellent"	9.163564	0.6931472	12	29.58932	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"excellent"	9.163564	1.098612	12	30.58932	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	8.7	"excellent"	9.163564	1.098612	12	31.58932	"female"	FALSE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.098612	17	27.55373	"male"	FALSE	FALSE
5	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.386294	17	28.55373	"male"	FALSE	FALSE
0	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.386294	17	29.55373	"male"	FALSE	FALSE
7	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.098612	15	4.062971	"female"	TRUE	FALSE
7	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.386294	15	5.062971	"female"	TRUE	FALSE
9	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.386294	15	6.062971	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.098612	15	24.99658	"female"	FALSE	FALSE
7	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.386294	15	25.99658	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	FALSE	13.73189	"excellent"	9.04896	1.386294	15	26.99658	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.167475	0.6931472	17	23.82478	"male"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.167475	0.6931472	17	24.82478	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	4.3	"excellent"	9.167475	0.6931472	17	25.82478	"male"	FALSE	FALSE
3	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.167475	0.6931472	16	23.46064	"female"	FALSE	FALSE
5	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.167475	0.6931472	16	24.46064	"female"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.167475	0.6931472	16	25.46064	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	0	"excellent"	5.518011	0	11	21.90554	"male"	FALSE	TRUE
2	0	TRUE	0	0	FALSE	0	"excellent"	5.518011	0	11	22.90554	"male"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	0	"excellent"	5.518011	0	11	23.90554	"male"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	0	"excellent"	5.518011	0	11	25.90554	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	4.3	"excellent"	9.595232	1.098612	12	16.08761	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	4.3	"excellent"	9.595232	1.098612	12	17.08761	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	4.3	"excellent"	9.595232	1.098612	12	18.08761	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	0	"excellent"	9.595232	1.098612	12	61.52772	"male"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	0	"excellent"	9.595232	1.098612	12	62.52772	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	0	"excellent"	9.595232	1.098612	12	63.52772	"male"	FALSE	FALSE
13	0	FALSE	0	0	TRUE	39.1	"excellent"	9.595232	1.098612	12	47.38672	"female"	FALSE	FALSE
10	0	FALSE	0	0	TRUE	39.1	"excellent"	9.595232	1.098612	12	48.38672	"female"	FALSE	FALSE
11	0	FALSE	0	0	TRUE	39.1	"excellent"	9.595232	1.098612	12	49.38672	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.560963	0.6931472	12	50.51609	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.560963	0.6931472	12	51.51609	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	8.7	"excellent"	9.560963	0.6931472	12	52.51609	"female"	FALSE	FALSE
13	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.560963	0.6931472	21	56.66256	"male"	FALSE	FALSE
16	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.560963	0.6931472	21	57.66256	"male"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	13	"good"	9.560963	0.6931472	21	58.66256	"male"	FALSE	FALSE
4	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.997581	0	12	20.66256	"male"	FALSE	FALSE
3	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.997581	0	12	21.66256	"male"	FALSE	FALSE
0	3.931826	FALSE	5.988961	6.682108	FALSE	13.73189	"good"	8.997581	0	12	22.66256	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13	"excellent"	8.587215	1.098612	11	19.10198	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13	"excellent"	8.587215	1.098612	11	20.10198	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13	"excellent"	8.587215	1.098612	11	21.10198	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13	"excellent"	8.587215	1.386294	11	22.10198	"female"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	13	"excellent"	8.587215	1.386294	11	23.10198	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.587215	1.098612	11	2.16564	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.587215	1.098612	11	3.16564	"female"	TRUE	FALSE
1	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.587215	1.098612	11	4.16564	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.587215	1.386294	11	5.16564	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"excellent"	8.587215	1.386294	11	6.16564	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	8.587215	1.098612	11	20.16153	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"excellent"	8.587215	1.098612	11	21.16153	"male"	FALSE	FALSE
7	0	TRUE	0	0	FALSE	8.7	"excellent"	8.587215	1.098612	11	22.16153	"male"	FALSE	FALSE
1	0	TRUE	0	0	FALSE	8.7	"excellent"	8.587215	1.386294	11	23.16153	"male"	FALSE	FALSE
3	0	TRUE	0	0	FALSE	8.7	"excellent"	8.587215	1.386294	11	24.16153	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	1.938398	"male"	TRUE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	2.938398	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	3.938398	"male"	TRUE	FALSE
11	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	4.938398	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	5.938398	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	20	34.79261	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	20	35.79261	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	20	36.79261	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	20	37.79261	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	20	38.79261	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	34.05339	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	35.05339	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	36.05339	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	37.05339	"female"	FALSE	FALSE
10	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	38.05339	"female"	FALSE	FALSE
30	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	6.009583	"female"	TRUE	FALSE
18	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	7.009583	"female"	TRUE	FALSE
18	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	8.009583	"female"	TRUE	FALSE
17	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	9.009583	"female"	TRUE	FALSE
14	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	9.493746	1.386294	17	10.00958	"female"	TRUE	FALSE
19	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"good"	9.66698	1.94591	20	36.2026	"male"	FALSE	FALSE
23	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"good"	9.66698	1.94591	20	37.2026	"male"	FALSE	FALSE
29	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"good"	9.66698	1.94591	20	38.2026	"male"	FALSE	FALSE
27	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"good"	9.66698	1.94591	20	39.2026	"male"	FALSE	FALSE
25	3.258096	FALSE	6.907755	8.294049	TRUE	26.1	"good"	9.66698	1.94591	20	40.2026	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	12.64066	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	13.64066	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	14.64066	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	15.64066	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	16.64066	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	7.772758	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	8.772758	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	9.772758	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	10.77276	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	11.77276	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	10.02327	"male"	TRUE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	11.02327	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	12.02327	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	13.02327	"male"	TRUE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	14.02327	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	13.55784	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	14.55784	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	15.55784	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	16.55784	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	17.55784	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.66698	1.94591	10	33.65914	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.66698	1.94591	10	34.65914	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.66698	1.94591	10	35.65914	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.66698	1.94591	10	36.65914	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	21.7	"good"	9.66698	1.94591	10	37.65914	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	11.68515	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	12.68515	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	13.68515	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	14.68515	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.66698	1.94591	10	15.68515	"male"	TRUE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	4.533881	"male"	TRUE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	5.533881	"male"	TRUE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	6.533881	"male"	TRUE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	2.469541	"female"	TRUE	FALSE
1	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	3.469541	"female"	TRUE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	4.469542	"female"	TRUE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	24.95004	"female"	FALSE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	25.95004	"female"	FALSE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	12	26.95004	"female"	FALSE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	15	27.07734	"male"	FALSE	FALSE
0	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	15	28.07734	"male"	FALSE	FALSE
1	0	TRUE	6.005269	0	FALSE	13.73189	"excellent"	7.859301	1.386294	15	29.07734	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.00332	1.386294	12	27.72622	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.00332	1.386294	12	28.72622	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.00332	1.386294	12	29.72622	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.00332	1.386294	13	7.104723	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.00332	1.386294	13	8.104723	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.00332	1.386294	13	9.104723	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.00332	1.386294	13	26.54894	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.00332	1.386294	13	27.54894	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	8.7	"excellent"	9.00332	1.386294	13	28.54894	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.00332	1.386294	13	6.162902	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.00332	1.386294	13	7.162902	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"excellent"	9.00332	1.386294	13	8.162902	"male"	TRUE	FALSE
0	3.931826	FALSE	6.620073	7.313221	FALSE	4.3	"excellent"	8.418375	0	12	20.27105	"male"	FALSE	FALSE
0	3.931826	FALSE	6.620073	7.313221	FALSE	4.3	"excellent"	8.418375	0	12	21.27105	"male"	FALSE	FALSE
0	3.931826	FALSE	6.620073	7.313221	FALSE	4.3	"excellent"	8.418375	0	12	22.27105	"male"	FALSE	FALSE
1	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.968264	1.386294	16	32.72827	"male"	FALSE	TRUE
5	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.968264	1.386294	16	33.72827	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.968264	1.386294	16	34.72827	"male"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.968264	1.386294	16	35.72827	"male"	FALSE	TRUE
6	0	TRUE	6.907755	0	FALSE	17.4	"good"	8.968264	1.386294	16	36.72827	"male"	FALSE	TRUE
3	0	TRUE	6.907755	0	FALSE	21.7	"good"	8.968264	1.386294	16	30.68583	"female"	FALSE	TRUE
5	0	TRUE	6.907755	0	FALSE	21.7	"good"	8.968264	1.386294	16	31.68583	"female"	FALSE	TRUE
1	0	TRUE	6.907755	0	FALSE	21.7	"good"	8.968264	1.386294	16	32.68583	"female"	FALSE	TRUE
4	0	TRUE	6.907755	0	FALSE	21.7	"good"	8.968264	1.386294	16	33.68583	"female"	FALSE	TRUE
1	0	TRUE	6.907755	0	FALSE	21.7	"good"	8.968264	1.386294	16	34.68583	"female"	FALSE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	9.437371	"male"	TRUE	TRUE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	10.43737	"male"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	11.43737	"male"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	12.43737	"male"	TRUE	TRUE
3	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	13.43737	"male"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	7.318275	"male"	TRUE	TRUE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	8.318275	"male"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	9.318275	"male"	TRUE	TRUE
1	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	10.31828	"male"	TRUE	TRUE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	8.968264	1.386294	16	11.31828	"male"	TRUE	TRUE
10	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	1.708419	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	2.708419	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	3.708419	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	16	29.94114	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	16	30.94114	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	16	31.94114	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	29.64819	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	30.64819	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	31.64819	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	2.833676	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	3.833676	"male"	TRUE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	9.218964	1.386294	14	4.833675	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	0.6931472	11	24.78576	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.098612	11	25.78576	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.098612	11	26.78576	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.098612	11	27.78576	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.386294	11	28.78576	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	0.6931472	11	3.811088	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.098612	11	4.811088	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.098612	11	5.811088	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.098612	11	6.811088	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"excellent"	7.32621	1.386294	11	7.811088	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	8.7	"good"	8.905142	0.6931472	14	24.77207	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"good"	8.905142	0.6931472	14	25.77207	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	8.7	"good"	8.905142	0.6931472	14	26.77207	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	21.7	"good"	8.905142	0.6931472	13	24.8898	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	21.7	"good"	8.905142	0.6931472	13	25.8898	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	21.7	"good"	8.905142	0.6931472	13	26.8898	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	27.41684	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	28.41684	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	29.41684	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	30.41684	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	31.41684	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	7.29911	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	8.29911	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	9.29911	"male"	TRUE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	10.29911	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	11.29911	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	30.81177	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	31.81177	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	32.81177	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	33.81177	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.52819	1.098612	12	34.81177	"male"	FALSE	FALSE
8	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.098612	19	30.55441	"male"	FALSE	FALSE
2	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.098612	19	31.55441	"male"	FALSE	FALSE
6	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.098612	19	32.55442	"male"	FALSE	FALSE
4	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.386294	19	33.55442	"male"	FALSE	FALSE
3	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.386294	19	34.55442	"male"	FALSE	FALSE
7	0	FALSE	4.61512	0	FALSE	13.73189	"excellent"	9.280559	1.098612	13	27.24162	"female"	FALSE	FALSE
6	0	FALSE	4.61512	0	FALSE	13.73189	"excellent"	9.280559	1.098612	13	28.24162	"female"	FALSE	FALSE
0	0	FALSE	4.61512	0	FALSE	13.73189	"excellent"	9.280559	1.098612	13	29.24162	"female"	FALSE	FALSE
0	0	FALSE	4.61512	0	FALSE	13.73189	"excellent"	9.280559	1.386294	13	30.24162	"female"	FALSE	FALSE
10	0	FALSE	4.61512	0	FALSE	13.73189	"excellent"	9.280559	1.386294	13	31.24162	"female"	FALSE	FALSE
9	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.098612	13	3.789186	"female"	TRUE	FALSE
6	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.098612	13	4.789186	"female"	TRUE	FALSE
9	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.098612	13	5.789186	"female"	TRUE	FALSE
12	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.386294	13	6.789186	"female"	TRUE	FALSE
0	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.386294	13	7.789186	"female"	TRUE	FALSE
15	3.931826	FALSE	5.991465	6.684612	FALSE	8.7	"good"	8.652371	0	12	27.61944	"female"	FALSE	FALSE
4	3.931826	FALSE	5.991465	6.684612	FALSE	8.7	"good"	8.652371	0	12	28.61944	"female"	FALSE	FALSE
2	3.931826	FALSE	5.991465	6.684612	FALSE	8.7	"good"	8.652371	0	12	29.61944	"female"	FALSE	FALSE
2	3.931826	FALSE	5.389072	5.991465	FALSE	13	"excellent"	8.30156	0	10	28.14237	"female"	FALSE	FALSE
1	3.931826	FALSE	5.389072	5.991465	FALSE	13	"excellent"	8.30156	0	10	29.14237	"female"	FALSE	FALSE
1	3.931826	FALSE	5.389072	5.991465	FALSE	13	"excellent"	8.30156	0	10	30.14237	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	0	"good"	8.684894	1.098612	13	25.68378	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"good"	8.684894	1.098612	13	26.68378	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"good"	8.684894	1.098612	13	27.68378	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"good"	8.684894	1.098612	13	28.68378	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"good"	8.684894	1.098612	13	29.68378	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13	"good"	8.684894	1.098612	12	25.44011	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13	"good"	8.684894	1.098612	12	26.44011	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	13	"good"	8.684894	1.098612	12	27.44011	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13	"good"	8.684894	1.098612	12	28.44011	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13	"good"	8.684894	1.098612	12	29.44011	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.684894	1.098612	12	0.3723477	"male"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.684894	1.098612	12	1.372348	"male"	TRUE	FALSE
12	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.684894	1.098612	12	2.372348	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.684894	1.098612	12	3.372348	"male"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.684894	1.098612	12	4.372348	"male"	TRUE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.245964	0.6931472	16	25.53046	"male"	FALSE	FALSE
0	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.245964	0.6931472	16	26.53046	"male"	FALSE	FALSE
2	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.245964	0.6931472	16	27.53046	"male"	FALSE	FALSE
2	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.245964	0.6931472	16	24.38604	"female"	FALSE	FALSE
1	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.245964	0.6931472	16	25.38604	"female"	FALSE	FALSE
4	0	TRUE	5.703783	0	FALSE	13.73189	"excellent"	9.245964	0.6931472	16	26.38604	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.499476	0	18	55.32649	"male"	FALSE	TRUE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.499476	0	18	56.32649	"male"	FALSE	TRUE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"fair"	9.499476	0	18	57.32649	"male"	FALSE	TRUE
2	3.931826	FALSE	6.39693	7.090077	FALSE	13.73189	"fair"	9.20297	0.6931472	17	24.28747	"female"	FALSE	FALSE
5	3.931826	FALSE	6.39693	7.090077	FALSE	13.73189	"fair"	9.20297	0.6931472	17	25.28747	"female"	FALSE	FALSE
4	3.931826	FALSE	6.39693	7.090077	FALSE	13.73189	"fair"	9.20297	0.6931472	17	26.28747	"female"	FALSE	FALSE
4	3.931826	FALSE	6.39693	7.090077	FALSE	13.73189	"excellent"	9.20297	0.6931472	17	25.295	"male"	FALSE	FALSE
1	3.931826	FALSE	6.39693	7.090077	FALSE	13.73189	"excellent"	9.20297	0.6931472	17	26.295	"male"	FALSE	FALSE
0	3.931826	FALSE	6.39693	7.090077	FALSE	13.73189	"excellent"	9.20297	0.6931472	17	27.295	"male"	FALSE	FALSE
5	0	FALSE	4.787492	0	FALSE	13.73189	"excellent"	8.848122	1.098612	12	2.247776	"male"	TRUE	FALSE
11	0	FALSE	4.787492	0	FALSE	13.73189	"excellent"	8.848122	1.098612	12	3.247776	"male"	TRUE	FALSE
41	0	FALSE	4.787492	0	FALSE	13.73189	"excellent"	8.848122	1.098612	12	4.247776	"male"	TRUE	FALSE
2	0	FALSE	4.787492	0	FALSE	13.73189	"excellent"	8.848122	1.098612	12	25.54689	"male"	FALSE	FALSE
3	0	FALSE	4.787492	0	FALSE	13.73189	"excellent"	8.848122	1.098612	12	26.54689	"male"	FALSE	FALSE
3	0	FALSE	4.787492	0	FALSE	13.73189	"excellent"	8.848122	1.098612	12	27.54689	"male"	FALSE	FALSE
7	0	FALSE	4.787492	0	FALSE	13.73189	"good"	8.848122	1.098612	12	24.89254	"female"	FALSE	FALSE
10	0	FALSE	4.787492	0	FALSE	13.73189	"good"	8.848122	1.098612	12	25.89254	"female"	FALSE	FALSE
10	0	FALSE	4.787492	0	FALSE	13.73189	"good"	8.848122	1.098612	12	26.89254	"female"	FALSE	FALSE
7	0	TRUE	0	0	TRUE	13.73189	"poor"	9.163564	1.098612	4	61.9384	"female"	FALSE	FALSE
6	0	TRUE	0	0	TRUE	13.73189	"poor"	9.163564	1.098612	4	62.9384	"female"	FALSE	FALSE
11	0	TRUE	0	0	TRUE	13.73189	"poor"	9.163564	1.098612	4	63.9384	"female"	FALSE	FALSE
4	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.098612	4	14.48597	"female"	TRUE	FALSE
7	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.098612	4	15.48597	"female"	TRUE	FALSE
6	0	TRUE	0	0	FALSE	13.73189	"good"	9.163564	1.098612	4	16.48597	"female"	TRUE	FALSE
2	0	TRUE	0	0	TRUE	13.73189	"fair"	9.163564	1.098612	4	61.5332	"male"	FALSE	FALSE
2	0	TRUE	0	0	TRUE	13.73189	"fair"	9.163564	1.098612	4	62.5332	"male"	FALSE	FALSE
4	0	TRUE	0	0	TRUE	13.73189	"fair"	9.163564	1.098612	4	63.5332	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.820657	1.386294	13	4.120465	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.820657	1.386294	13	5.120465	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.820657	1.386294	13	6.120465	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.820657	1.386294	13	5.207392	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.820657	1.386294	13	6.207392	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	8.820657	1.386294	13	7.207392	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.820657	1.386294	13	24.282	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.820657	1.386294	13	25.282	"female"	FALSE	FALSE
13	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.820657	1.386294	13	26.282	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.820657	1.386294	14	26.52704	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.820657	1.386294	14	27.52704	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.820657	1.386294	14	28.52704	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"fair"	8.388448	1.386294	10	27.54552	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"fair"	8.388448	1.386294	10	28.54552	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"fair"	8.388448	1.386294	10	29.54552	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"fair"	8.388448	1.386294	10	30.54552	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	4.3	"fair"	8.388448	1.386294	10	31.54552	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.388448	1.386294	11	25.69199	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.388448	1.386294	11	26.69199	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.388448	1.386294	11	27.69199	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.388448	1.386294	11	28.69199	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	17.4	"good"	8.388448	1.386294	11	29.69199	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	4.676249	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	5.676249	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	6.676249	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	7.676249	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	8.67625	"male"	TRUE	FALSE
1	0	TRUE	6.395262	0	FALSE	8.7	"good"	8.908297	1.098612	12	21.99589	"male"	FALSE	FALSE
0	0	TRUE	6.395262	0	FALSE	8.7	"good"	8.908297	1.098612	12	22.99589	"male"	FALSE	FALSE
2	0	TRUE	6.395262	0	FALSE	8.7	"good"	8.908297	1.098612	12	23.99589	"male"	FALSE	FALSE
1	0	TRUE	6.395262	0	TRUE	17.4	"fair"	8.908297	1.098612	11	20.45996	"female"	FALSE	FALSE
0	0	TRUE	6.395262	0	TRUE	17.4	"fair"	8.908297	1.098612	11	21.45996	"female"	FALSE	FALSE
2	0	TRUE	6.395262	0	TRUE	17.4	"fair"	8.908297	1.098612	11	22.45996	"female"	FALSE	FALSE
0	0	TRUE	6.395262	0	FALSE	13.73189	"good"	8.908297	1.098612	11	0.991102	"female"	TRUE	FALSE
0	0	TRUE	6.395262	0	FALSE	13.73189	"good"	8.908297	1.098612	11	1.991102	"female"	TRUE	FALSE
2	0	TRUE	6.395262	0	FALSE	13.73189	"good"	8.908297	1.098612	11	2.991102	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	8.337011	1.386294	9	18.51061	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	8.337011	1.386294	9	19.51061	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	8.337011	1.386294	9	20.51061	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	17.4	"good"	8.337011	1.386294	9	21.51061	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"good"	8.337011	1.386294	9	16.45448	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"good"	8.337011	1.386294	9	17.45448	"female"	TRUE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"good"	8.337011	1.386294	9	18.45448	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"good"	8.337011	1.386294	9	19.45448	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	8.7	"good"	8.337011	1.098612	9	20.45448	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	34.8	"fair"	8.337011	1.386294	9	51.77823	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	34.8	"fair"	8.337011	1.386294	9	52.77823	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	34.8	"fair"	8.337011	1.386294	9	53.77823	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	34.8	"fair"	8.337011	1.386294	9	54.77823	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	34.8	"fair"	8.337011	1.098612	9	55.77823	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.337011	1.386294	9	55.30732	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.337011	1.386294	9	56.30732	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.337011	1.386294	9	57.30732	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.337011	1.386294	9	58.30732	"male"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	4.3	"excellent"	8.337011	1.098612	9	59.30732	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.163564	1.098612	12	21.23751	"female"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13	"excellent"	9.163564	1.098612	14	23.34292	"male"	FALSE	FALSE
0	0	TRUE	6.907755	0	FALSE	13.73189	"good"	9.163564	1.098612	12	0.6652977	"female"	TRUE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.499709	1.098612	13	54.72964	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.499709	1.098612	13	55.72964	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	17.4	"good"	9.499709	1.098612	13	56.72964	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"excellent"	9.499709	1.098612	18	53.22108	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"excellent"	9.499709	1.098612	18	54.22108	"male"	FALSE	FALSE
15	3.258096	FALSE	6.907755	8.294049	FALSE	26.1	"excellent"	9.499709	1.098612	18	55.22108	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.499709	1.098612	13	14.42574	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.499709	1.098612	13	15.42574	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	4.3	"excellent"	9.499709	1.098612	13	16.42574	"male"	TRUE	FALSE
3	0	TRUE	6.308098	0	FALSE	8.7	"excellent"	8.766939	0.6931472	13	20.31759	"female"	FALSE	FALSE
1	0	TRUE	6.308098	0	FALSE	8.7	"excellent"	8.766939	0.6931472	13	21.31759	"female"	FALSE	FALSE
3	0	TRUE	6.308098	0	FALSE	8.7	"excellent"	8.766939	0.6931472	13	22.31759	"female"	FALSE	FALSE
4	0	TRUE	6.308098	0	FALSE	21.7	"excellent"	8.766939	0.6931472	12	20.5859	"male"	FALSE	FALSE
3	0	TRUE	6.308098	0	FALSE	21.7	"excellent"	8.766939	0.6931472	12	21.5859	"male"	FALSE	FALSE
0	0	TRUE	6.308098	0	FALSE	21.7	"excellent"	8.766939	0.6931472	12	22.5859	"male"	FALSE	FALSE
7	0	TRUE	6.907755	0	TRUE	8.7	"fair"	3.066725	0	12	57.06229	"female"	FALSE	FALSE
8	0	TRUE	6.907755	0	TRUE	8.7	"fair"	3.066725	0	12	58.06229	"female"	FALSE	FALSE
9	0	TRUE	6.907755	0	TRUE	8.7	"fair"	3.066725	0	12	59.06229	"female"	FALSE	FALSE
8	0	TRUE	6.907755	0	TRUE	8.7	"fair"	3.066725	0	12	60.06229	"female"	FALSE	FALSE
7	0	TRUE	6.907755	0	TRUE	8.7	"fair"	3.066725	0	12	61.06229	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	9.600075	0	9	53.44832	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.73189	"good"	9.600075	0	9	54.44832	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.73189	"good"	9.600075	0	9	55.44832	"female"	FALSE	FALSE
5	0	FALSE	4.276666	0	FALSE	13.73189	"excellent"	8.30002	0	12	24.11225	"female"	FALSE	FALSE
3	0	FALSE	4.276666	0	FALSE	13.73189	"excellent"	8.30002	0	12	25.11225	"female"	FALSE	FALSE
2	0	FALSE	4.276666	0	FALSE	13.73189	"excellent"	8.30002	0	12	26.11225	"female"	FALSE	FALSE
0	0	TRUE	0	0	FALSE	13.73189	"fair"	9.163564	0	12	50.97057	"male"	FALSE	TRUE
1	0	TRUE	0	0	FALSE	13.73189	"fair"	9.163564	0	12	51.97057	"male"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	13.73189	"fair"	9.163564	0	12	52.97057	"male"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	13.73189	"fair"	9.163564	0	12	53.97057	"male"	FALSE	TRUE
0	0	TRUE	0	0	FALSE	13.73189	"fair"	9.163564	0	12	54.97057	"male"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	13.73189	"fair"	9.111206	2.079442	12	0.3367556	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	13.73189	"fair"	9.111206	2.079442	12	1.336756	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	13.73189	"fair"	9.111206	2.079442	12	2.336756	"male"	TRUE	TRUE
7	0	FALSE	0	0	TRUE	13.73189	"fair"	9.111206	2.079442	12	3.336756	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	13.73189	"fair"	9.111206	2.079442	12	4.336756	"male"	TRUE	TRUE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	0.5201917	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	1.520192	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	2.520192	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	3.520192	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"good"	9.163564	1.791759	12	4.520192	"male"	TRUE	FALSE
0	3.258096	FALSE	5.828946	7.21524	FALSE	13.73189	"fair"	7.070876	1.791759	5	0.4079398	"male"	TRUE	TRUE
0	3.258096	FALSE	5.828946	7.21524	FALSE	13.73189	"fair"	7.070876	1.791759	5	1.40794	"male"	TRUE	TRUE
3	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"excellent"	9.163564	1.609438	10	0.3477071	"female"	TRUE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"excellent"	9.163564	1.609438	10	1.347707	"female"	TRUE	FALSE
0	3.931826	FALSE	6.683361	7.376508	FALSE	13.73189	"excellent"	9.163564	1.609438	10	2.347707	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	0.2628337	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	1.262834	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	2.262834	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	3.262834	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	13.73189	"excellent"	8.890604	1.098612	18	4.262834	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	4.446962	1.098612	12.32507	20.80493	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	4.446962	1.098612	12.32507	21.80493	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	4.446962	1.098612	12.32507	22.80493	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	4.446962	1.098612	12.32507	23.80493	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"excellent"	4.446962	1.098612	12.32507	24.80493	"male"	FALSE	FALSE
1	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.256801	2.079442	11	0.1451061	"male"	TRUE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.256801	2.079442	11	1.145106	"male"	TRUE	FALSE
3	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.256801	2.079442	11	2.145106	"male"	TRUE	FALSE
9	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.256801	2.079442	11	3.145106	"male"	TRUE	FALSE
1	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.256801	2.079442	11	4.145106	"male"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"excellent"	9.163564	1.791759	10	0.1670089	"male"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"excellent"	9.163564	1.791759	10	1.167009	"male"	TRUE	FALSE
0	0	TRUE	5.645447	0	FALSE	13.73189	"excellent"	9.163564	1.791759	10	2.167009	"male"	TRUE	FALSE
16	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.980865	1.098612	13	0.1560575	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.980865	1.098612	13	1.156057	"male"	TRUE	FALSE
9	3.931826	FALSE	6.907755	7.600903	FALSE	13.73189	"good"	8.980865	1.098612	13	2.156058	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.951326	1.386294	16	0.2956879	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.951326	1.386294	16	1.295688	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.951326	1.386294	16	2.295688	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.951326	1.386294	16	3.295688	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.73189	"excellent"	8.951326	1.386294	16	4.295688	"male"	TRUE	FALSE
9	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.079442	13	0.0903491	"female"	TRUE	TRUE
23	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.079442	13	1.090349	"female"	TRUE	TRUE
41	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.197225	13	2.090349	"female"	TRUE	TRUE
20	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.302585	13	3.090349	"female"	TRUE	TRUE
21	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.302585	13	4.090349	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	0.5475702	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	1.54757	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	2.54757	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	3.54757	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	8.388448	1.386294	11	4.54757	"male"	TRUE	FALSE
15	0	FALSE	6.126869	0	TRUE	13.73189	"excellent"	8.627794	1.791759	11	0.5017111	"female"	TRUE	FALSE
7	0	FALSE	6.126869	0	TRUE	13.73189	"excellent"	8.627794	1.791759	11	1.501711	"female"	TRUE	FALSE
5	0	FALSE	6.126869	0	TRUE	13.73189	"excellent"	8.627794	1.791759	11	2.501711	"female"	TRUE	FALSE
0	0	FALSE	6.126869	0	TRUE	13.73189	"excellent"	8.627794	1.791759	11	3.501711	"female"	TRUE	FALSE
5	0	TRUE	4.976734	0	TRUE	13.73189	"excellent"	9.163564	1.386294	16	0.5126626	"male"	TRUE	FALSE
8	0	TRUE	4.976734	0	TRUE	13.73189	"excellent"	9.163564	1.386294	16	1.512663	"male"	TRUE	FALSE
13	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.182449	1.098612	12	0.5017111	"male"	TRUE	FALSE
7	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.182449	1.386294	12	1.501711	"male"	TRUE	FALSE
5	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.182449	1.386294	12	2.501711	"male"	TRUE	FALSE
8	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.182449	1.386294	12	3.501711	"male"	TRUE	FALSE
5	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.008647	2.079442	12	0.4934976	"male"	TRUE	FALSE
1	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.008647	2.079442	12	1.493498	"male"	TRUE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.008647	2.079442	12	2.493498	"male"	TRUE	FALSE
2	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.008647	2.197225	12	3.493498	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	13.73189	"excellent"	0.6931472	1.098612	14	0.8795345	"male"	TRUE	TRUE
2	0	FALSE	0	0	TRUE	13.73189	"excellent"	0.6931472	1.098612	14	1.879535	"male"	TRUE	TRUE
13	3.931826	FALSE	6.109248	5.786897	TRUE	13.73189	"excellent"	7.455823	1.386294	11	0.247091	"female"	TRUE	FALSE
6	3.931826	FALSE	6.109248	5.786897	TRUE	13.73189	"excellent"	7.455823	1.386294	11	1.247091	"female"	TRUE	FALSE
3	3.931826	FALSE	6.109248	5.786897	TRUE	13.73189	"excellent"	7.455823	1.386294	11	2.247091	"female"	TRUE	FALSE
0	3.931826	FALSE	6.109248	5.786897	TRUE	13.73189	"excellent"	7.455823	1.386294	11	3.247091	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.035308	1.386294	13	0.8610541	"male"	TRUE	FALSE
13	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.197225	13	0.9869952	"female"	TRUE	TRUE
2	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.302585	13	1.986995	"female"	TRUE	TRUE
1	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.302585	13	2.986995	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	13.73189	"excellent"	6.9137	1.386294	12	0.4880219	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	13.73189	"excellent"	6.9137	1.386294	12	1.488022	"female"	TRUE	TRUE
10	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	9.352452	1.791759	12	0.6769336	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	9.352452	1.791759	12	1.676934	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	9.352452	1.791759	12	2.676934	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	9.352452	1.791759	12	3.676934	"male"	TRUE	FALSE
8	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	8.973975	1.098612	12	0.8877481	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	8.973975	1.098612	12	1.887748	"male"	TRUE	FALSE
4	0	TRUE	6.802395	0	TRUE	13.73189	"excellent"	8.793264	1.098612	16	0.8795345	"female"	TRUE	FALSE
2	0	TRUE	6.802395	0	TRUE	13.73189	"excellent"	8.793264	1.098612	16	1.879535	"female"	TRUE	FALSE
6	0	FALSE	5.777652	0	TRUE	13.73189	"excellent"	8.984216	1.609438	12	0.8384668	"female"	TRUE	FALSE
3	0	FALSE	5.777652	0	TRUE	13.73189	"excellent"	8.984216	1.609438	12	1.838467	"female"	TRUE	FALSE
2	0	FALSE	5.777652	0	TRUE	13.73189	"excellent"	8.984216	1.609438	12	2.838467	"female"	TRUE	FALSE
5	0	FALSE	5.777652	0	TRUE	13.73189	"excellent"	8.984216	1.609438	12	3.838467	"female"	TRUE	FALSE
9	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.070024	1.098612	17	0.6632444	"female"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.070024	1.098612	17	1.663244	"female"	TRUE	FALSE
9	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.742668	1.386294	15	0.7015743	"female"	TRUE	FALSE
22	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.742668	1.386294	15	1.701574	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	8.5764	1.098612	14	0.5756331	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	8.5764	1.098612	14	1.575633	"female"	TRUE	FALSE
8	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	8.5764	1.098612	14	2.575633	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	8.5764	1.098612	14	3.575633	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	TRUE	13.73189	"excellent"	9.04896	1.386294	15	0.9069131	"male"	TRUE	FALSE
3	0	FALSE	4.094345	0	TRUE	13.73189	"excellent"	9.04896	1.386294	15	1.906913	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	13.73189	"excellent"	7.32621	1.098612	11	0.9370294	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	13.73189	"excellent"	7.32621	1.098612	11	1.937029	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	13.73189	"excellent"	7.32621	1.098612	11	2.937029	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	13.73189	"excellent"	7.32621	1.386294	11	3.937029	"female"	TRUE	FALSE
3	0	TRUE	6.791222	0	TRUE	13.73189	"excellent"	9.120343	1.386294	13	0.8329911	"male"	TRUE	FALSE
1	0	TRUE	6.791222	0	TRUE	13.73189	"excellent"	9.120343	1.386294	13	1.832991	"male"	TRUE	FALSE
2	0	TRUE	6.791222	0	TRUE	13.73189	"excellent"	9.120343	1.386294	13	2.832991	"male"	TRUE	FALSE
6	0	TRUE	6.791222	0	TRUE	13.73189	"excellent"	9.120343	1.386294	13	3.832991	"male"	TRUE	FALSE
13	0	FALSE	0	0	TRUE	13.73189	"excellent"	10.0132	2.197225	12	0.7296372	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	9.782728	1.94591	12	0.8391513	"female"	TRUE	FALSE
5	3.258096	FALSE	5.988961	7.375256	TRUE	13.73189	"excellent"	9.297475	0.6931472	12	0.7926078	"male"	TRUE	TRUE
5	3.258096	FALSE	5.988961	7.375256	TRUE	13.73189	"excellent"	9.297475	0.6931472	12	1.792608	"male"	TRUE	TRUE
1	3.258096	FALSE	5.988961	7.375256	TRUE	13.73189	"excellent"	9.297475	0.6931472	12	2.792608	"male"	TRUE	TRUE
3	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.696783	1.098612	13	0.715948	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.696783	1.386294	13	1.715948	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.696783	1.386294	13	2.715948	"female"	TRUE	FALSE
6	0	FALSE	5.31812	0	TRUE	13.73189	"excellent"	8.956297	0.6931472	11	0.6447639	"female"	TRUE	FALSE
1	0	FALSE	5.31812	0	TRUE	13.73189	"excellent"	8.956297	0.6931472	11	1.644764	"female"	TRUE	FALSE
2	0	FALSE	5.31812	0	TRUE	13.73189	"excellent"	8.956297	0.6931472	11	2.644764	"female"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.163564	1.386294	8	0.9568788	"male"	TRUE	TRUE
4	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.163564	1.386294	8	1.956879	"male"	TRUE	TRUE
7	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.163564	1.609438	8	2.956879	"male"	TRUE	TRUE
7	3.931826	FALSE	5.298317	5.991465	TRUE	13.73189	"excellent"	9.073941	0.6931472	16	0.4339494	"male"	TRUE	FALSE
2	3.931826	FALSE	5.298317	5.991465	TRUE	13.73189	"excellent"	9.073941	0.6931472	16	1.433949	"male"	TRUE	FALSE
3	3.931826	FALSE	5.298317	5.991465	TRUE	13.73189	"excellent"	9.073941	0.6931472	16	2.433949	"male"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	TRUE	13.73189	"excellent"	9.417506	1.94591	11	0.4941821	"female"	TRUE	FALSE
4	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.089112	1.791759	12	0.3983573	"female"	TRUE	FALSE
1	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.089112	1.791759	12	1.398357	"female"	TRUE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.089112	1.791759	12	2.398357	"female"	TRUE	FALSE
11	3.258096	FALSE	6.907755	8.294049	TRUE	13.73189	"excellent"	9.184425	1.609438	12	0.4640657	"female"	TRUE	FALSE
11	0	FALSE	4.983607	0	TRUE	13.73189	"excellent"	8.717582	1.098612	12	0.3080082	"female"	TRUE	FALSE
1	0	TRUE	4.317488	0	TRUE	13.73189	"excellent"	8.387922	1.098612	11	0.5407255	"male"	TRUE	FALSE
0	0	TRUE	4.317488	0	TRUE	13.73189	"excellent"	8.387922	1.098612	11	1.540726	"male"	TRUE	FALSE
0	0	TRUE	4.317488	0	TRUE	13.73189	"excellent"	8.387922	1.098612	11	2.540725	"male"	TRUE	FALSE
18	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.182449	1.386294	12	0.3408624	"male"	TRUE	FALSE
5	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.182449	1.386294	12	1.340862	"male"	TRUE	FALSE
2	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	9.182449	1.386294	12	2.340863	"male"	TRUE	FALSE
12	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.163564	1.098612	12	0.779603	"male"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.163564	1.098612	12	1.779603	"male"	TRUE	FALSE
8	0	TRUE	6.109248	0	TRUE	13.73189	"excellent"	9.036343	1.386294	16	0.3819302	"female"	TRUE	FALSE
15	0	FALSE	0	0	TRUE	13.73189	"excellent"	8.532291	1.098612	13	0.4291581	"male"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	13.73189	"excellent"	8.532291	1.098612	13	1.429158	"male"	TRUE	FALSE
6	3.931826	FALSE	6.395262	7.088409	TRUE	13.73189	"excellent"	9.038481	1.609438	12	0.8480493	"female"	TRUE	FALSE
6	3.931826	FALSE	6.395262	7.088409	TRUE	13.73189	"excellent"	9.038481	1.609438	12	1.848049	"female"	TRUE	FALSE
4	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.302585	13	0.3880903	"male"	TRUE	TRUE
3	0	FALSE	5.783825	0	TRUE	13.73189	"excellent"	9.163564	2.302585	13	1.38809	"male"	TRUE	TRUE
8	0	FALSE	0	0	TRUE	13.73189	"excellent"	8.792982	0.6931472	12	0.3004791	"male"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	13.73189	"excellent"	8.792982	0.6931472	12	1.300479	"male"	TRUE	FALSE
20	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.386294	13	0.4236824	"female"	TRUE	FALSE
14	0	FALSE	4.61512	0	TRUE	13.73189	"excellent"	9.280559	1.386294	13	1.423682	"female"	TRUE	FALSE
2	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.696783	1.386294	13	0.2046544	"male"	TRUE	FALSE
0	0	TRUE	6.907755	0	TRUE	13.73189	"excellent"	8.696783	1.386294	13	1.204654	"male"	TRUE	FALSE
0	0	TRUE	0	0	TRUE	13.73189	"excellent"	8.587215	1.386294	11	0.2758385	"female"	TRUE	FALSE
5	0	TRUE	0	0	TRUE	13.73189	"excellent"	8.587215	1.386294	11	1.275838	"female"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	13.73189	"excellent"	7.32621	1.386294	11	0.8596851	"female"	TRUE	FALSE
6	3.258096	FALSE	0	0	TRUE	13.73189	"excellent"	5.513019	1.098612	12	0.9253936	"female"	TRUE	FALSE
2	0	TRUE	0	0	TRUE	13.73189	"excellent"	0.6931472	0.6931472	9	0.45859	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	13.73189	"excellent"	9.163564	1.609438	8	0.4544832	"female"	TRUE	TRUE
5	0	FALSE	5.552959	0	TRUE	13.73189	"excellent"	9.163564	1.386294	15	0.2217659	"female"	TRUE	FALSE
0	0	TRUE	5.843544	0	TRUE	13.73189	"excellent"	8.419606	0.6931472	16	0.3832991	"female"	TRUE	FALSE
2	0	TRUE	0	0	TRUE	13.73189	"excellent"	9.008647	2.197225	12	0.4435318	"female"	TRUE	FALSE
4	3.258096	FALSE	6.39693	7.783224	TRUE	13.73189	"excellent"	8.340357	0.6931472	12	0.2491444	"female"	TRUE	FALSE
7	0	TRUE	4.787492	0	TRUE	13.73189	"excellent"	9.389847	1.609438	15	0.0657084	"female"	TRUE	FALSE
13	0	TRUE	5.924256	0	TRUE	13.73189	"excellent"	8.708942	0.6931472	12	0.0848734	"male"	TRUE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.739347	0.6931472	12	23.78645	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.739347	1.098612	12	24.78645	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.739347	1.098612	12	25.78645	"male"	FALSE	FALSE
0	4.564348	FALSE	6.309918	6.361212	FALSE	6.9	"good"	8.486547	0.6931472	16	25.6564	"male"	FALSE	FALSE
0	4.564348	FALSE	6.309918	6.361212	FALSE	6.9	"good"	8.486547	0.6931472	16	26.6564	"male"	FALSE	FALSE
3	4.564348	FALSE	6.309918	6.361212	FALSE	6.9	"good"	8.486547	0.6931472	16	27.6564	"male"	FALSE	FALSE
3	4.564348	FALSE	6.309918	6.361212	FALSE	6.9	"good"	8.486547	0.6931472	16	28.6564	"male"	FALSE	FALSE
0	4.564348	FALSE	6.309918	6.361212	FALSE	6.9	"good"	8.486547	0.6931472	16	29.6564	"male"	FALSE	FALSE
1	4.564348	FALSE	6.309918	6.361212	FALSE	10.3	"good"	8.486547	0.6931472	16	23.3347	"female"	FALSE	FALSE
3	4.564348	FALSE	6.309918	6.361212	FALSE	10.3	"good"	8.486547	0.6931472	16	24.3347	"female"	FALSE	FALSE
0	4.564348	FALSE	6.309918	6.361212	FALSE	10.3	"good"	8.486547	0.6931472	16	25.3347	"female"	FALSE	FALSE
0	4.564348	FALSE	6.309918	6.361212	FALSE	10.3	"good"	8.486547	0.6931472	16	26.3347	"female"	FALSE	FALSE
0	4.564348	FALSE	6.309918	6.361212	FALSE	10.3	"good"	8.486547	0.6931472	16	27.3347	"female"	FALSE	FALSE
1	0	FALSE	5.187609	0	FALSE	10.3	"good"	9.185321	0.6931472	13	36.1807	"male"	FALSE	FALSE
0	0	FALSE	5.187609	0	FALSE	10.3	"good"	9.185321	0.6931472	13	37.1807	"male"	FALSE	FALSE
2	0	FALSE	5.187609	0	FALSE	10.3	"good"	9.185321	0.6931472	13	38.1807	"male"	FALSE	FALSE
2	0	FALSE	5.187609	0	FALSE	27.6	"good"	9.185321	0.6931472	12	28.04381	"female"	FALSE	FALSE
3	0	FALSE	5.187609	0	FALSE	27.6	"good"	9.185321	0.6931472	12	29.04381	"female"	FALSE	FALSE
6	0	FALSE	5.187609	0	FALSE	27.6	"good"	9.185321	0.6931472	12	30.04381	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	7.603012	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	8.603012	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	9.603012	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.019776	1.609438	9	30.30801	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.019776	1.609438	9	31.30801	"male"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.019776	1.609438	9	32.30801	"male"	FALSE	FALSE
19	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	0.8596851	"female"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	1.859685	"female"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	2.859685	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	9.500342	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	10.50034	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.019776	1.609438	12	11.50034	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.019776	1.609438	12	31.04996	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.019776	1.609438	12	32.04996	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.019776	1.609438	12	33.04996	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	9.022753	0.6931472	10	54.02875	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	9.022753	0.6931472	10	55.02875	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	9.022753	0.6931472	10	56.02875	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	9.022753	0.6931472	10	57.02875	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	9.022753	0.6931472	10	58.02875	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.022753	0.6931472	12	59.32101	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.022753	0.6931472	12	60.32101	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.022753	0.6931472	12	61.32101	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.022753	0.6931472	12	62.32101	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.022753	0.6931472	12	63.32101	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.198701	0.6931472	12	24.21903	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.198701	0.6931472	12	25.21903	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	9.198701	1.098612	12	26.21903	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	6.9	"excellent"	9.198701	0.6931472	12	21.54141	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.198701	0.6931472	12	22.54141	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.198701	1.098612	12	23.54141	"female"	FALSE	FALSE
0	4.564348	FALSE	4.405865	5.374791	FALSE	0	"excellent"	8.621337	0.6931472	18	26.0616	"male"	FALSE	FALSE
0	4.564348	FALSE	4.405865	5.374791	FALSE	0	"excellent"	8.621337	0.6931472	18	27.0616	"male"	FALSE	FALSE
0	4.564348	FALSE	4.405865	5.374791	FALSE	0	"excellent"	8.621337	0.6931472	18	28.0616	"male"	FALSE	FALSE
1	4.564348	FALSE	4.405865	5.374791	TRUE	20.7	"good"	8.621337	0.6931472	16	22.34634	"female"	FALSE	FALSE
1	4.564348	FALSE	4.405865	5.374791	TRUE	20.7	"good"	8.621337	0.6931472	16	23.34634	"female"	FALSE	FALSE
0	4.564348	FALSE	4.405865	5.374791	TRUE	20.7	"good"	8.621337	0.6931472	16	24.34634	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.741036	0.6931472	13	24.05202	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.741036	0.6931472	13	25.05202	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	8.741036	0.6931472	13	26.05202	"male"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	13.8	"good"	8.741036	0.6931472	12	20.69815	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	13.8	"good"	8.741036	0.6931472	12	21.69815	"female"	FALSE	FALSE
22	0	FALSE	0	0	FALSE	13.8	"good"	8.741036	0.6931472	12	22.69815	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	8.317197	1.098612	13	20.21355	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	8.317197	1.386294	13	21.21355	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	8.317197	1.386294	13	22.21355	"female"	FALSE	FALSE
3	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	8.317197	1.098612	13	27.29911	"male"	FALSE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	8.317197	1.386294	13	28.29911	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	8.317197	1.386294	13	29.29911	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.444645	0.6931472	15	27.2334	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.444645	0.6931472	15	28.2334	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.444645	0.6931472	15	29.2334	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.444645	0.6931472	14	24.9473	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.444645	0.6931472	14	25.9473	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.444645	0.6931472	14	26.9473	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	8.256354	0	12	50.31896	"female"	FALSE	FALSE
7	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	8.256354	0	12	51.31896	"female"	FALSE	FALSE
13	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	8.256354	0	12	52.31896	"female"	FALSE	FALSE
4	0	FALSE	6.177778	0	FALSE	13.8	"excellent"	8.835718	0	12	57.01027	"female"	FALSE	FALSE
3	0	FALSE	6.177778	0	FALSE	13.8	"excellent"	8.835718	0	12	58.01027	"female"	FALSE	FALSE
3	0	FALSE	6.177778	0	FALSE	13.8	"excellent"	8.835718	0	12	59.01027	"female"	FALSE	FALSE
4	0	FALSE	6.177778	0	FALSE	13.8	"excellent"	8.835718	0	12	60.01027	"female"	FALSE	FALSE
8	0	FALSE	6.177778	0	FALSE	13.8	"excellent"	8.835718	0	12	61.01027	"female"	FALSE	FALSE
2	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	3.964408	"female"	TRUE	FALSE
0	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	4.964408	"female"	TRUE	FALSE
1	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	5.964408	"female"	TRUE	FALSE
2	4.564348	FALSE	5.981894	6.365746	FALSE	10.3	"good"	8.609909	1.609438	12	35.30458	"male"	FALSE	FALSE
8	4.564348	FALSE	5.981894	6.365746	FALSE	10.3	"good"	8.609909	1.609438	12	36.30458	"male"	FALSE	FALSE
2	4.564348	FALSE	5.981894	6.365746	FALSE	10.3	"good"	8.609909	1.609438	12	37.30458	"male"	FALSE	FALSE
0	4.564348	FALSE	5.981894	6.365746	TRUE	27.6	"good"	8.609909	1.609438	10	31.72895	"female"	FALSE	FALSE
3	4.564348	FALSE	5.981894	6.365746	TRUE	27.6	"good"	8.609909	1.609438	10	32.72895	"female"	FALSE	FALSE
6	4.564348	FALSE	5.981894	6.365746	TRUE	27.6	"good"	8.609909	1.609438	10	33.72895	"female"	FALSE	FALSE
3	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	8.366872	"male"	TRUE	FALSE
6	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	9.366872	"male"	TRUE	FALSE
1	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	10.36687	"male"	TRUE	FALSE
0	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	6.893909	"female"	TRUE	FALSE
2	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	7.893909	"female"	TRUE	FALSE
3	4.564348	FALSE	5.981894	6.365746	FALSE	11.84267	"good"	8.609909	1.609438	10	8.893909	"female"	TRUE	FALSE
0	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	12.64613	"male"	TRUE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	13.64613	"male"	TRUE	FALSE
3	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	14.64613	"male"	TRUE	FALSE
8	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	15.64613	"male"	TRUE	FALSE
3	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	16.64613	"male"	TRUE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	7.811088	"male"	TRUE	FALSE
3	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	8.811089	"male"	TRUE	FALSE
2	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	9.811089	"male"	TRUE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	10.81109	"male"	TRUE	FALSE
2	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	11.81109	"male"	TRUE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	16	45.81793	"male"	FALSE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	16	46.81793	"male"	FALSE	FALSE
0	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	16	47.81793	"male"	FALSE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	16	48.81793	"male"	FALSE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	16	49.81793	"male"	FALSE	FALSE
4	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	10.69131	"male"	TRUE	FALSE
2	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	11.69131	"male"	TRUE	FALSE
3	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	12.69131	"male"	TRUE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	13.69131	"male"	TRUE	FALSE
4	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"excellent"	9.541381	1.609438	17	14.69131	"male"	TRUE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	17	41.29227	"female"	FALSE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	17	42.29227	"female"	FALSE	FALSE
0	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	17	43.29227	"female"	FALSE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	17	44.29227	"female"	FALSE	FALSE
1	4.564348	TRUE	5.460734	6.160541	FALSE	3.4	"excellent"	9.541381	1.609438	17	45.29227	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.830157	1.098612	12	5.467488	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.830157	1.098612	12	6.467488	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.830157	1.098612	12	7.467488	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	8.830157	1.098612	12	29.32512	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	8.830157	1.098612	12	30.32512	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	8.830157	1.098612	12	31.32512	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	0	"good"	8.830157	1.098612	12	30.00685	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	0	"good"	8.830157	1.098612	12	31.00685	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"good"	8.830157	1.098612	12	32.00684	"male"	FALSE	FALSE
12	4.564348	TRUE	0	5.061929	TRUE	27.6	"good"	8.414722	0	16	38.2642	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	TRUE	27.6	"good"	8.414722	0	16	39.2642	"female"	FALSE	FALSE
5	4.564348	TRUE	0	5.061929	TRUE	27.6	"good"	8.414722	0	16	40.2642	"female"	FALSE	FALSE
1	4.564348	TRUE	6.39693	6.160541	FALSE	11.84267	"excellent"	7.95825	1.386294	12	2.067077	"male"	TRUE	FALSE
0	4.564348	TRUE	6.39693	6.160541	FALSE	11.84267	"excellent"	7.95825	1.386294	12	3.067077	"male"	TRUE	FALSE
2	4.564348	TRUE	6.39693	6.160541	TRUE	10.3	"good"	7.95825	1.386294	14	26.36824	"male"	FALSE	FALSE
1	4.564348	TRUE	6.39693	6.160541	TRUE	10.3	"good"	7.95825	1.386294	14	27.36824	"male"	FALSE	FALSE
7	4.564348	TRUE	6.39693	6.160541	TRUE	34.5	"excellent"	7.95825	1.386294	12	21.7796	"female"	FALSE	FALSE
2	4.564348	TRUE	6.39693	6.160541	TRUE	34.5	"excellent"	7.95825	1.386294	12	22.7796	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	10.3	"good"	9.260928	1.386294	15	38.423	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	9.260928	1.386294	15	39.423	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	9.260928	1.386294	15	40.423	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.260928	1.386294	14	7.463381	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.260928	1.386294	14	8.463381	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.260928	1.386294	14	9.463381	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.260928	1.386294	14	30.59001	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.260928	1.386294	14	31.59001	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.260928	1.386294	14	32.59001	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.260928	1.386294	14	6.401095	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.260928	1.386294	14	7.401095	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.260928	1.386294	14	8.401095	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.039521	1.098612	12	14.81725	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.039521	1.098612	12	15.81725	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.039521	1.098612	12	16.81725	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	9.039521	1.098612	12	39.07734	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	9.039521	1.098612	12	40.07734	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	9.039521	1.098612	12	41.07734	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.039521	1.098612	12	38.10267	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.039521	1.098612	12	39.10267	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.039521	1.098612	12	40.10267	"female"	FALSE	FALSE
3	0	FALSE	4.730568	0	FALSE	3.4	"excellent"	8.909291	0	15	37.64271	"male"	FALSE	FALSE
1	0	FALSE	4.730568	0	FALSE	3.4	"excellent"	8.909291	0	15	38.64271	"male"	FALSE	FALSE
1	0	FALSE	4.730568	0	FALSE	3.4	"excellent"	8.909291	0	15	39.64271	"male"	FALSE	FALSE
7	0	FALSE	5.330978	0	FALSE	11.84267	"excellent"	9.27916	1.098612	16	1.711157	"female"	TRUE	FALSE
7	0	FALSE	5.330978	0	FALSE	11.84267	"excellent"	9.27916	1.386294	16	2.711157	"female"	TRUE	FALSE
7	0	FALSE	5.330978	0	FALSE	11.84267	"excellent"	9.27916	1.386294	16	3.711157	"female"	TRUE	FALSE
11	0	FALSE	5.330978	0	FALSE	11.84267	"excellent"	9.27916	1.386294	16	4.711157	"female"	TRUE	FALSE
6	0	FALSE	5.330978	0	FALSE	11.84267	"excellent"	9.27916	1.386294	16	5.711157	"female"	TRUE	FALSE
2	0	FALSE	5.330978	0	FALSE	0	"excellent"	9.27916	1.098612	18	31.50992	"male"	FALSE	FALSE
2	0	FALSE	5.330978	0	FALSE	0	"excellent"	9.27916	1.386294	18	32.50993	"male"	FALSE	FALSE
4	0	FALSE	5.330978	0	FALSE	0	"excellent"	9.27916	1.386294	18	33.50993	"male"	FALSE	FALSE
1	0	FALSE	5.330978	0	FALSE	0	"excellent"	9.27916	1.386294	18	34.50993	"male"	FALSE	FALSE
4	0	FALSE	5.330978	0	FALSE	0	"excellent"	9.27916	1.386294	18	35.50993	"male"	FALSE	FALSE
1	0	FALSE	5.330978	0	FALSE	3.4	"excellent"	9.27916	1.098612	16	29.97125	"female"	FALSE	FALSE
2	0	FALSE	5.330978	0	FALSE	3.4	"excellent"	9.27916	1.386294	16	30.97125	"female"	FALSE	FALSE
7	0	FALSE	5.330978	0	FALSE	3.4	"excellent"	9.27916	1.386294	16	31.97125	"female"	FALSE	FALSE
5	0	FALSE	5.330978	0	FALSE	3.4	"excellent"	9.27916	1.386294	16	32.97125	"female"	FALSE	FALSE
7	0	FALSE	5.330978	0	FALSE	3.4	"excellent"	9.27916	1.386294	16	33.97125	"female"	FALSE	FALSE
12	0	FALSE	0	0	FALSE	31	"excellent"	9.666603	0.6931472	11	49.68104	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	31	"excellent"	9.666603	0.6931472	11	50.68104	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	31	"excellent"	9.666603	0.6931472	11	51.68104	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	31	"excellent"	9.666603	0.6931472	11	52.68104	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	31	"excellent"	9.666603	0.6931472	11	53.68104	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	31	"excellent"	9.666603	0.6931472	16	51.67419	"male"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	31	"excellent"	9.666603	0.6931472	16	52.67419	"male"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	31	"excellent"	9.666603	0.6931472	16	53.67419	"male"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	31	"excellent"	9.666603	0.6931472	16	54.67419	"male"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	31	"excellent"	9.666603	0.6931472	16	55.67419	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.020415	1.386294	11	27.73717	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.020415	1.386294	11	28.73717	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.020415	1.386294	11	29.73717	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	0	"excellent"	9.020415	1.386294	12	29.2293	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	0	"excellent"	9.020415	1.386294	12	30.2293	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	0	"excellent"	9.020415	1.386294	12	31.2293	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.020415	1.386294	12	4.328542	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.020415	1.386294	12	5.328542	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.020415	1.386294	12	6.328542	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.020415	1.386294	12	7.485284	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.020415	1.386294	12	8.485284	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.020415	1.386294	12	9.485284	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.418318	0	18	38.20123	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.418318	0	18	39.20123	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.418318	0	18	40.20123	"male"	FALSE	TRUE
1	0	FALSE	5.641907	0	FALSE	11.84267	"excellent"	9.500016	1.098612	12	12.84326	"female"	TRUE	FALSE
12	0	FALSE	5.641907	0	FALSE	11.84267	"excellent"	9.500016	1.098612	12	13.84326	"female"	TRUE	FALSE
14	0	FALSE	5.641907	0	FALSE	11.84267	"excellent"	9.500016	1.098612	12	14.84326	"female"	TRUE	FALSE
3	0	FALSE	5.641907	0	TRUE	17.2	"excellent"	9.500016	1.098612	12	31.46064	"female"	FALSE	FALSE
3	0	FALSE	5.641907	0	TRUE	17.2	"excellent"	9.500016	1.098612	12	32.46064	"female"	FALSE	FALSE
2	0	FALSE	5.641907	0	TRUE	17.2	"excellent"	9.500016	1.098612	12	33.46064	"female"	FALSE	FALSE
3	0	FALSE	5.641907	0	FALSE	13.8	"excellent"	9.500016	1.098612	16	28.7666	"male"	FALSE	FALSE
3	0	FALSE	5.641907	0	FALSE	13.8	"excellent"	9.500016	1.098612	16	29.7666	"male"	FALSE	FALSE
1	0	FALSE	5.641907	0	FALSE	13.8	"excellent"	9.500016	1.098612	16	30.7666	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.105482	1.386294	13	1.303217	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.105482	1.386294	13	2.303217	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.105482	1.386294	13	3.303217	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.105482	1.386294	14	34.85284	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.105482	1.386294	14	35.85284	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.105482	1.386294	14	36.85284	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.105482	1.386294	13	29.54962	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.105482	1.386294	13	30.54962	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.105482	1.386294	13	31.54962	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.105482	1.386294	13	5.182752	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.105482	1.386294	13	6.182752	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.105482	1.386294	13	7.182752	"female"	TRUE	FALSE
4	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	6.255989	"female"	TRUE	FALSE
0	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	7.255989	"female"	TRUE	FALSE
0	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	8.255989	"female"	TRUE	FALSE
0	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	9.255989	"female"	TRUE	FALSE
5	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	10.25599	"female"	TRUE	FALSE
2	4.564348	TRUE	5.617753	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	16	30.04791	"male"	FALSE	FALSE
3	4.564348	TRUE	5.617753	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	16	31.04791	"male"	FALSE	FALSE
1	4.564348	TRUE	5.617753	6.160541	FALSE	6.9	"excellent"	9.067237	1.609438	16	32.04791	"male"	FALSE	FALSE
2	4.564348	TRUE	5.617753	6.160541	FALSE	6.9	"excellent"	9.067237	1.609438	16	33.04791	"male"	FALSE	FALSE
0	4.564348	TRUE	5.617753	6.160541	FALSE	6.9	"excellent"	9.067237	1.609438	16	34.04791	"male"	FALSE	FALSE
8	4.564348	TRUE	5.617753	6.160541	TRUE	10.3	"excellent"	9.067237	1.386294	12	27.93703	"female"	FALSE	FALSE
3	4.564348	TRUE	5.617753	6.160541	TRUE	10.3	"excellent"	9.067237	1.386294	12	28.93703	"female"	FALSE	FALSE
1	4.564348	TRUE	5.617753	6.160541	TRUE	10.3	"excellent"	9.067237	1.609438	12	29.93703	"female"	FALSE	FALSE
1	4.564348	TRUE	5.617753	6.160541	TRUE	10.3	"excellent"	9.067237	1.609438	12	30.93703	"female"	FALSE	FALSE
3	4.564348	TRUE	5.617753	6.160541	TRUE	10.3	"excellent"	9.067237	1.609438	12	31.93703	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	9.490178	1.098612	12	17.31964	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	6.9	"excellent"	9.490178	1.098612	12	18.31964	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	9.490178	1.098612	12	19.31964	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	17.2	"good"	9.490178	1.098612	12	45.7796	"female"	FALSE	FALSE
27	0	FALSE	0	0	FALSE	17.2	"good"	9.490178	1.098612	12	46.7796	"female"	FALSE	FALSE
15	0	FALSE	0	0	FALSE	17.2	"good"	9.490178	1.098612	12	47.7796	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.490178	1.098612	16	46.12183	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.490178	1.098612	16	47.12183	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"excellent"	9.490178	1.098612	16	48.12183	"male"	FALSE	FALSE
2	0	FALSE	5.878744	0	FALSE	11.84267	"good"	8.837252	1.386294	12	6.091718	"male"	TRUE	FALSE
10	0	FALSE	5.878744	0	FALSE	11.84267	"good"	8.837252	1.386294	12	7.091718	"male"	TRUE	FALSE
6	0	FALSE	5.878744	0	FALSE	11.84267	"good"	8.837252	1.386294	12	8.091718	"male"	TRUE	FALSE
3	0	FALSE	5.878744	0	FALSE	13.8	"good"	8.837252	1.386294	12	25.80972	"female"	FALSE	FALSE
7	0	FALSE	5.878744	0	FALSE	13.8	"good"	8.837252	1.386294	12	26.80972	"female"	FALSE	FALSE
3	0	FALSE	5.878744	0	FALSE	13.8	"good"	8.837252	1.386294	12	27.80972	"female"	FALSE	FALSE
1	0	FALSE	5.878744	0	FALSE	6.9	"good"	8.837252	1.386294	12	29.12252	"male"	FALSE	FALSE
5	0	FALSE	5.878744	0	FALSE	6.9	"good"	8.837252	1.386294	12	30.12252	"male"	FALSE	FALSE
5	0	FALSE	5.878744	0	FALSE	6.9	"good"	8.837252	1.386294	12	31.12252	"male"	FALSE	FALSE
9	0	FALSE	5.878744	0	FALSE	11.84267	"good"	8.837252	1.386294	12	4.569473	"female"	TRUE	FALSE
8	0	FALSE	5.878744	0	FALSE	11.84267	"good"	8.837252	1.386294	12	5.569473	"female"	TRUE	FALSE
4	0	FALSE	5.878744	0	FALSE	11.84267	"good"	8.837252	1.386294	12	6.569473	"female"	TRUE	FALSE
0	4.564348	FALSE	6.547474	6.943732	FALSE	0	"excellent"	9.246056	0.6931472	15	26.36003	"male"	FALSE	FALSE
3	4.564348	FALSE	6.547474	6.943732	FALSE	0	"excellent"	9.246056	0.6931472	15	27.36003	"male"	FALSE	FALSE
0	4.564348	FALSE	6.547474	6.943732	FALSE	0	"excellent"	9.246056	1.098612	15	28.36003	"male"	FALSE	FALSE
0	4.564348	FALSE	6.547474	6.943732	FALSE	0	"excellent"	9.246056	1.386294	15	29.36003	"male"	FALSE	FALSE
0	4.564348	FALSE	6.547474	6.943732	FALSE	0	"excellent"	9.246056	1.386294	15	30.36003	"male"	FALSE	FALSE
0	4.564348	FALSE	6.547474	6.943732	FALSE	17.2	"excellent"	9.246056	0.6931472	12	23.77276	"female"	FALSE	FALSE
2	4.564348	FALSE	6.547474	6.943732	FALSE	17.2	"excellent"	9.246056	0.6931472	12	24.77276	"female"	FALSE	FALSE
0	4.564348	FALSE	6.547474	6.943732	FALSE	17.2	"excellent"	9.246056	1.098612	12	25.77276	"female"	FALSE	FALSE
4	4.564348	FALSE	6.547474	6.943732	FALSE	17.2	"excellent"	9.246056	1.386294	12	26.77276	"female"	FALSE	FALSE
1	4.564348	FALSE	6.547474	6.943732	FALSE	17.2	"excellent"	9.246056	1.386294	12	27.77276	"female"	FALSE	FALSE
1	3.258096	FALSE	6.804725	8.19102	FALSE	10.3	"good"	8.761549	0.6931472	13	25.86448	"female"	FALSE	FALSE
1	3.258096	FALSE	6.804725	8.19102	FALSE	10.3	"good"	8.761549	1.098612	13	26.86448	"female"	FALSE	FALSE
1	3.258096	FALSE	6.804725	8.19102	FALSE	10.3	"good"	8.761549	1.098612	13	27.86448	"female"	FALSE	FALSE
4	3.258096	FALSE	6.804725	8.19102	FALSE	6.9	"excellent"	8.761549	0.6931472	16	24.72827	"male"	FALSE	FALSE
2	3.258096	FALSE	6.804725	8.19102	FALSE	6.9	"excellent"	8.761549	1.098612	16	25.72827	"male"	FALSE	FALSE
0	3.258096	FALSE	6.804725	8.19102	FALSE	6.9	"excellent"	8.761549	1.098612	16	26.72827	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.245815	1.386294	16	4	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.245815	1.386294	16	5	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.245815	1.386294	16	6	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.245815	1.386294	16	6.368241	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.245815	1.386294	16	7.368241	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.245815	1.386294	16	8.368241	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.245815	1.386294	16	36.89528	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.245815	1.386294	16	37.89528	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.245815	1.386294	16	38.89528	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.245815	1.386294	20	34.00411	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.245815	1.386294	20	35.00411	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.245815	1.386294	20	36.00411	"male"	FALSE	FALSE
1	3.258096	FALSE	5.298317	6.684612	FALSE	27.6	"excellent"	8.448331	0	12	59.61944	"female"	FALSE	FALSE
0	3.258096	FALSE	5.298317	6.684612	FALSE	27.6	"excellent"	8.448331	0	12	60.61944	"female"	FALSE	FALSE
19	3.258096	FALSE	5.298317	6.684612	FALSE	27.6	"excellent"	8.448331	0	12	61.61944	"female"	FALSE	FALSE
30	3.258096	FALSE	5.298317	6.684612	FALSE	27.6	"excellent"	8.448331	0	12	62.61944	"female"	FALSE	FALSE
18	3.258096	FALSE	5.298317	6.684612	FALSE	27.6	"excellent"	8.448331	0	12	63.61944	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.609438	10	3.227926	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	4.227926	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	5.227926	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	6.227926	"male"	TRUE	FALSE
28	0	FALSE	0	0	TRUE	17.2	"good"	8.40282	1.609438	10	26.13826	"female"	FALSE	FALSE
20	0	FALSE	0	0	TRUE	17.2	"good"	8.40282	1.791759	10	27.13826	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.2	"good"	8.40282	1.791759	10	28.13826	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"good"	8.40282	1.791759	10	29.13826	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"good"	8.40282	1.386294	10	30.13826	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	8.40282	1.609438	13	26.49966	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.40282	1.791759	13	27.49966	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	8.40282	1.791759	13	28.49966	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.40282	1.791759	13	29.49966	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.40282	1.386294	13	30.49966	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.609438	10	7.986311	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	8.986311	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	9.986311	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	10.98631	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.386294	10	11.98631	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.609438	10	6.954141	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	7.954141	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	8.954141	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.40282	1.791759	10	9.954141	"female"	TRUE	FALSE
11	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.178865	0.6931472	14	61.01574	"male"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.178865	0.6931472	14	62.01574	"male"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.178865	0.6931472	14	63.01574	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.178865	0.6931472	15	54.63107	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.178865	0.6931472	15	55.63107	"female"	FALSE	FALSE
8	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.178865	0.6931472	15	56.63107	"female"	FALSE	FALSE
4	3.258096	FALSE	6.856462	8.242756	FALSE	6.9	"excellent"	8.537824	0	17	30.43121	"male"	FALSE	FALSE
2	3.258096	FALSE	6.856462	8.242756	FALSE	6.9	"excellent"	8.537824	0	17	31.43121	"male"	FALSE	FALSE
2	3.258096	FALSE	6.856462	8.242756	FALSE	6.9	"excellent"	8.537824	0	17	32.43121	"male"	FALSE	FALSE
2	3.258096	FALSE	6.856462	8.242756	FALSE	6.9	"excellent"	8.537824	0	17	33.43121	"male"	FALSE	FALSE
5	3.258096	FALSE	6.856462	8.242756	FALSE	6.9	"excellent"	8.537824	0	17	34.43121	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"excellent"	9.179531	1.609438	12	41.34702	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"excellent"	9.179531	1.609438	12	42.34702	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"excellent"	9.179531	1.609438	12	43.34702	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"good"	9.179531	1.609438	12	5.620808	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"good"	9.179531	1.609438	12	6.620808	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"good"	9.179531	1.609438	12	7.620808	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.179531	1.609438	14	40.88433	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.179531	1.609438	14	41.88433	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.179531	1.609438	14	42.88433	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.179531	1.609438	12	8.183436	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.179531	1.609438	12	9.183436	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.179531	1.609438	12	10.18344	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.179531	1.609438	12	3.370294	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.179531	1.609438	12	4.370294	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.179531	1.609438	12	5.370294	"male"	TRUE	FALSE
1	0	FALSE	6.762128	0	FALSE	6.9	"excellent"	8.200948	1.098612	18	28.30116	"female"	FALSE	FALSE
2	0	FALSE	6.762128	0	FALSE	6.9	"excellent"	8.200948	1.098612	18	29.30116	"female"	FALSE	FALSE
2	0	FALSE	6.762128	0	FALSE	6.9	"excellent"	8.200948	1.098612	18	30.30116	"female"	FALSE	FALSE
0	0	FALSE	6.762128	0	FALSE	0	"excellent"	8.200948	1.098612	20	29.57974	"male"	FALSE	FALSE
2	0	FALSE	6.762128	0	FALSE	0	"excellent"	8.200948	1.098612	20	30.57974	"male"	FALSE	FALSE
2	0	FALSE	6.762128	0	FALSE	0	"excellent"	8.200948	1.098612	20	31.57974	"male"	FALSE	FALSE
3	3.258096	FALSE	5.808503	7.194797	FALSE	13.8	"excellent"	9.029311	0	17	58.00411	"female"	FALSE	FALSE
3	3.258096	FALSE	5.808503	7.194797	FALSE	13.8	"excellent"	9.029311	0	17	59.00411	"female"	FALSE	FALSE
3	3.258096	FALSE	5.808503	7.194797	FALSE	13.8	"excellent"	9.029311	0	17	60.00411	"female"	FALSE	FALSE
2	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	11.57016	"female"	TRUE	FALSE
2	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	12.57016	"female"	TRUE	FALSE
5	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	13.57016	"female"	TRUE	FALSE
7	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	12.71458	"female"	TRUE	FALSE
12	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	13.71458	"female"	TRUE	FALSE
6	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	14.71458	"female"	TRUE	FALSE
4	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	9.730322	"male"	TRUE	FALSE
3	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	10.73032	"male"	TRUE	FALSE
4	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	11.73032	"male"	TRUE	FALSE
11	0	FALSE	6.099332	0	FALSE	10.3	"excellent"	9.432554	1.791759	12	30.71595	"female"	FALSE	FALSE
9	0	FALSE	6.099332	0	FALSE	10.3	"excellent"	9.432554	1.791759	12	31.71595	"female"	FALSE	FALSE
5	0	FALSE	6.099332	0	FALSE	10.3	"excellent"	9.432554	1.791759	12	32.71595	"female"	FALSE	FALSE
2	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	3.638604	"female"	TRUE	FALSE
2	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	4.638604	"female"	TRUE	FALSE
1	0	FALSE	6.099332	0	FALSE	11.84267	"excellent"	9.432554	1.791759	12	5.638604	"female"	TRUE	FALSE
3	0	FALSE	6.099332	0	FALSE	20.7	"excellent"	9.432554	1.791759	13	32.24093	"male"	FALSE	FALSE
3	0	FALSE	6.099332	0	FALSE	20.7	"excellent"	9.432554	1.791759	13	33.24093	"male"	FALSE	FALSE
6	0	FALSE	6.099332	0	FALSE	20.7	"excellent"	9.432554	1.791759	13	34.24093	"male"	FALSE	FALSE
8	0	FALSE	5.680172	0	TRUE	41.4	"fair"	8.132687	0	14	61.54415	"female"	FALSE	FALSE
8	0	FALSE	5.680172	0	TRUE	41.4	"fair"	8.132687	0	14	62.54415	"female"	FALSE	FALSE
13	0	FALSE	5.680172	0	TRUE	41.4	"fair"	8.132687	0	14	63.54415	"female"	FALSE	FALSE
31	0	FALSE	0	0	FALSE	3.4	"excellent"	8.522074	0	17	23.34839	"female"	FALSE	FALSE
33	0	FALSE	0	0	FALSE	3.4	"excellent"	8.522074	0	17	24.34839	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	3.4	"excellent"	8.522074	0	17	25.34839	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	7.658924	0	12	19.60301	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	3.4	"excellent"	7.658924	0	12	20.60301	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	7.658924	0	12	21.60301	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"good"	8.223307	0	25	49.5989	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"good"	8.223307	0	25	50.5989	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"good"	8.223307	0	25	51.5989	"female"	FALSE	FALSE
3	4.564348	TRUE	5.992264	5.755076	FALSE	13.8	"good"	9.004474	0.6931472	12	53.24025	"male"	FALSE	FALSE
0	4.564348	TRUE	5.992264	5.755076	FALSE	13.8	"good"	9.004474	0.6931472	12	54.24025	"male"	FALSE	FALSE
3	4.564348	TRUE	5.992264	5.755076	FALSE	13.8	"good"	9.004474	0.6931472	12	55.24025	"male"	FALSE	FALSE
10	4.564348	TRUE	5.992264	5.755076	TRUE	31	"good"	9.004474	0.6931472	13	51.93155	"female"	FALSE	FALSE
3	4.564348	TRUE	5.992264	5.755076	TRUE	31	"good"	9.004474	0.6931472	13	52.93155	"female"	FALSE	FALSE
9	4.564348	TRUE	5.992264	5.755076	TRUE	31	"good"	9.004474	0.6931472	13	53.93155	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	34.5	"excellent"	8.615932	0	13	31.5154	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	34.5	"excellent"	8.615932	0	13	32.5154	"female"	FALSE	FALSE
16	0	FALSE	0	0	TRUE	34.5	"excellent"	8.615932	0	13	33.5154	"female"	FALSE	FALSE
2	4.564348	FALSE	6.393591	6.445051	TRUE	13.8	"good"	9.180317	0.6931472	13	53.95209	"female"	FALSE	FALSE
0	4.564348	FALSE	6.393591	6.445051	TRUE	13.8	"good"	9.180317	0.6931472	13	54.95209	"female"	FALSE	FALSE
0	4.564348	FALSE	6.393591	6.445051	TRUE	13.8	"good"	9.180317	0.6931472	13	55.95209	"female"	FALSE	FALSE
1	4.564348	FALSE	6.393591	6.445051	FALSE	10.3	"excellent"	9.180317	0.6931472	11	18.02327	"male"	FALSE	FALSE
1	4.564348	FALSE	6.393591	6.445051	FALSE	10.3	"excellent"	9.180317	0.6931472	11	19.02327	"male"	FALSE	FALSE
3	4.564348	FALSE	6.393591	6.445051	FALSE	10.3	"excellent"	9.180317	0.6931472	11	20.02327	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	1.700205	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	2.700205	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	3.700205	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	8.989299	1.609438	13	26.63381	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	8.989299	1.609438	13	27.63381	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	8.989299	1.609438	13	28.63381	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	8.989299	1.609438	10	23.75633	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	8.989299	1.609438	10	24.75633	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	8.989299	1.609438	10	25.75633	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	5.519507	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	6.519507	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	7.519507	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	3.638604	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	4.638604	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.989299	1.609438	10	5.638604	"male"	TRUE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	8.551632	0	16	23.74264	"female"	FALSE	FALSE
8	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	8.551632	0	16	24.74264	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	8.551632	0	16	25.74264	"female"	FALSE	FALSE
2	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	6.231349	"female"	TRUE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	7.231349	"female"	TRUE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	8.231348	"female"	TRUE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	9.231348	"female"	TRUE	FALSE
1	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	10.23135	"female"	TRUE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	4.251882	"male"	TRUE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	5.251882	"male"	TRUE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	6.251882	"male"	TRUE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	7.251882	"male"	TRUE	FALSE
1	4.564348	FALSE	5.926926	5.97822	FALSE	11.84267	"excellent"	8.562847	1.098612	12	8.251883	"male"	TRUE	FALSE
1	4.564348	FALSE	5.926926	5.97822	FALSE	0	"good"	8.562847	1.098612	12	25.54141	"female"	FALSE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	0	"good"	8.562847	1.098612	12	26.54141	"female"	FALSE	FALSE
0	4.564348	FALSE	5.926926	5.97822	FALSE	0	"good"	8.562847	1.098612	12	27.54141	"female"	FALSE	FALSE
5	4.564348	FALSE	5.926926	5.97822	FALSE	0	"good"	8.562847	1.098612	12	28.54141	"female"	FALSE	FALSE
2	4.564348	FALSE	5.926926	5.97822	FALSE	0	"good"	8.562847	1.098612	12	29.54141	"female"	FALSE	FALSE
14	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"excellent"	9.28304	0.6931472	8	58.67762	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"excellent"	9.28304	0.6931472	8	59.67762	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"excellent"	9.28304	0.6931472	8	60.67762	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"excellent"	9.28304	0.6931472	12	58.07803	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"excellent"	9.28304	0.6931472	12	59.07803	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"excellent"	9.28304	0.6931472	12	60.07803	"female"	FALSE	FALSE
5	0	FALSE	6.45331	0	FALSE	10.3	"good"	6.915179	0.6931472	12	44.25736	"male"	FALSE	FALSE
14	0	FALSE	6.45331	0	FALSE	10.3	"good"	6.915179	0.6931472	12	45.25736	"male"	FALSE	FALSE
13	0	FALSE	6.45331	0	FALSE	10.3	"good"	6.915179	0.6931472	12	46.25736	"male"	FALSE	FALSE
9	0	FALSE	6.45331	0	FALSE	10.3	"good"	6.915179	0.6931472	12	47.25736	"male"	FALSE	FALSE
13	0	FALSE	6.45331	0	FALSE	10.3	"good"	6.915179	0.6931472	12	48.25736	"male"	FALSE	FALSE
9	0	FALSE	6.45331	0	TRUE	13.8	"poor"	6.915179	0.6931472	12	31.82204	"female"	FALSE	FALSE
10	0	FALSE	6.45331	0	TRUE	13.8	"poor"	6.915179	0.6931472	12	32.82204	"female"	FALSE	FALSE
19	0	FALSE	6.45331	0	TRUE	13.8	"poor"	6.915179	0.6931472	12	33.82204	"female"	FALSE	FALSE
13	0	FALSE	6.45331	0	TRUE	13.8	"poor"	6.915179	0.6931472	12	34.82204	"female"	FALSE	FALSE
19	0	FALSE	6.45331	0	TRUE	13.8	"poor"	6.915179	0.6931472	12	35.82204	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	3.734428	"female"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	4.734428	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	5.734428	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	1.199179	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	2.199179	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	3.199179	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.067237	1.386294	13	31.54004	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.067237	1.386294	13	32.54004	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.067237	1.609438	13	33.54004	"male"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.067237	1.386294	12	23.67146	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.067237	1.386294	12	24.67146	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.067237	1.609438	12	25.67146	"female"	FALSE	TRUE
5	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.251573	0.6931472	12	47.75633	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.251573	0.6931472	12	48.75633	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.251573	0.6931472	12	49.75633	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.251573	0.6931472	12	60.16975	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.251573	0.6931472	12	61.16975	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.251573	0.6931472	12	62.16975	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.91907	0	16	26.17385	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.91907	0	16	27.17385	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.91907	0	16	28.17385	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.91907	0	16	29.17385	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.91907	0	16	30.17385	"female"	FALSE	FALSE
4	3.258096	FALSE	5.273	6.659294	FALSE	24.1	"good"	7.869049	0	17	25.48665	"female"	FALSE	FALSE
3	3.258096	FALSE	5.273	6.659294	FALSE	24.1	"good"	7.869049	0	17	26.48665	"female"	FALSE	FALSE
7	3.258096	FALSE	5.273	6.659294	FALSE	24.1	"good"	7.869049	0	17	27.48665	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.329346	0	17	38.6475	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.329346	0	17	39.6475	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.329346	0	17	40.6475	"male"	FALSE	FALSE
11	4.564348	TRUE	3.688879	5.061929	FALSE	20.7	"excellent"	8.775416	0	16	34.34086	"male"	FALSE	FALSE
1	4.564348	TRUE	3.688879	5.061929	FALSE	20.7	"excellent"	8.775416	0	16	35.34086	"male"	FALSE	FALSE
1	4.564348	TRUE	3.688879	5.061929	FALSE	20.7	"excellent"	8.775416	0	16	36.34086	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.150877	0.6931472	8	59.30458	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.150877	0.6931472	8	60.30458	"female"	FALSE	FALSE
13	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.150877	0.6931472	8	61.30458	"female"	FALSE	FALSE
12	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.150877	0.6931472	8	62.30458	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.150877	0.6931472	8	63.30458	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.150877	0.6931472	12	55.65777	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.150877	0.6931472	12	56.65777	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.150877	0.6931472	12	57.65777	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.150877	0.6931472	12	58.65777	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.150877	0.6931472	12	59.65777	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	31	"good"	9.20503	1.098612	12	53.73032	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	31	"good"	9.20503	1.098612	12	54.73032	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	31	"good"	9.20503	1.098612	12	55.73032	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	31	"good"	9.20503	1.098612	12	56.73032	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	31	"good"	9.20503	1.098612	12	57.73032	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	9.20503	1.098612	12	15.25804	"male"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	3.4	"good"	9.20503	1.098612	12	16.25804	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"good"	9.20503	1.098612	12	17.25804	"male"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	3.4	"good"	9.20503	1.098612	12	18.25804	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	3.4	"good"	9.20503	1.098612	12	19.25804	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	13.8	"excellent"	9.20503	1.098612	10	57.96578	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	9.20503	1.098612	10	58.96578	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"excellent"	9.20503	1.098612	10	59.96578	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	13.8	"excellent"	9.20503	1.098612	10	60.96578	"male"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	13.8	"excellent"	9.20503	1.098612	10	61.96578	"male"	FALSE	FALSE
0	0	FALSE	4.59875	0	FALSE	11.84267	"excellent"	9.679159	1.386294	16	10.47502	"male"	TRUE	FALSE
0	0	FALSE	4.59875	0	FALSE	11.84267	"excellent"	9.679159	1.386294	16	11.47502	"male"	TRUE	FALSE
1	0	FALSE	4.59875	0	FALSE	11.84267	"excellent"	9.679159	1.386294	16	12.47502	"male"	TRUE	FALSE
4	0	FALSE	4.59875	0	FALSE	3.4	"excellent"	9.679159	1.386294	14	41.01848	"male"	FALSE	FALSE
1	0	FALSE	4.59875	0	FALSE	3.4	"excellent"	9.679159	1.386294	14	42.01848	"male"	FALSE	FALSE
3	0	FALSE	4.59875	0	FALSE	3.4	"excellent"	9.679159	1.386294	14	43.01848	"male"	FALSE	FALSE
5	0	FALSE	4.59875	0	FALSE	10.3	"excellent"	9.679159	1.386294	16	41.25941	"female"	FALSE	FALSE
1	0	FALSE	4.59875	0	FALSE	10.3	"excellent"	9.679159	1.386294	16	42.25941	"female"	FALSE	FALSE
1	0	FALSE	4.59875	0	FALSE	10.3	"excellent"	9.679159	1.386294	16	43.25941	"female"	FALSE	FALSE
1	0	FALSE	4.59875	0	FALSE	11.84267	"good"	9.679159	1.386294	16	13.16906	"male"	TRUE	FALSE
1	0	FALSE	4.59875	0	FALSE	11.84267	"good"	9.679159	1.386294	16	14.16906	"male"	TRUE	FALSE
1	0	FALSE	4.59875	0	FALSE	11.84267	"good"	9.679159	1.386294	16	15.16906	"male"	TRUE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	20.7	"excellent"	8.368714	0	12	22.78166	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	20.7	"excellent"	8.368714	0	12	23.78166	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	20.7	"excellent"	8.368714	0.6931472	12	24.78166	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	TRUE	20.7	"excellent"	8.368714	0.6931472	12	25.78166	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	TRUE	20.7	"excellent"	8.368714	0.6931472	12	26.78166	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	3.017112	"female"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	4.017112	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	5.017112	"female"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	13.8	"excellent"	8.717313	1.609438	12	30.79261	"female"	FALSE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	13.8	"excellent"	8.717313	1.609438	12	31.79261	"female"	FALSE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	13.8	"excellent"	8.717313	1.609438	12	32.79261	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	11.66598	"male"	TRUE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	12.66598	"male"	TRUE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	13.66598	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	6.581793	"female"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	7.581793	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.717313	1.609438	12	8.581793	"female"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	10.3	"good"	8.717313	1.609438	16	31.66598	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"good"	8.717313	1.609438	16	32.66598	"male"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	10.3	"good"	8.717313	1.609438	16	33.66598	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.605891	1.098612	12	49.88091	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.605891	1.098612	12	50.88091	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.605891	0.6931472	12	51.88091	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.605891	1.098612	12	44.69542	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.605891	1.098612	12	45.69542	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.605891	0.6931472	12	46.69542	"female"	FALSE	FALSE
35	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.605891	1.098612	12	15.50445	"male"	TRUE	FALSE
25	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.605891	1.098612	12	16.50445	"male"	TRUE	FALSE
37	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	8.517393	1.609438	13	3.690623	"male"	TRUE	FALSE
23	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	8.517393	1.609438	13	4.690623	"male"	TRUE	FALSE
15	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	8.517393	1.609438	13	5.690623	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.517393	1.609438	13	6.631074	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.517393	1.609438	13	7.631074	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.517393	1.609438	13	8.631075	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	8.517393	1.609438	16	28.63244	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	8.517393	1.609438	16	29.63244	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	8.517393	1.609438	16	30.63244	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	8.517393	1.609438	13	28.46817	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	8.517393	1.609438	13	29.46817	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	8.517393	1.609438	13	30.46817	"female"	FALSE	FALSE
0	4.564348	FALSE	5.93648	6.735905	FALSE	6.9	"excellent"	8.255746	0	17	60.98563	"male"	FALSE	FALSE
0	4.564348	FALSE	5.93648	6.735905	FALSE	6.9	"excellent"	8.255746	0	17	61.98563	"male"	FALSE	FALSE
0	4.564348	FALSE	5.93648	6.735905	FALSE	6.9	"excellent"	8.255746	0	17	62.98563	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.049353	0	9	56.2245	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.049353	0	9	57.2245	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.049353	0	9	58.2245	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.049353	0	9	59.2245	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.049353	0	9	60.2245	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	6.160541	FALSE	11.84267	"excellent"	9.067107	1.098612	12	1.221081	"female"	TRUE	FALSE
1	4.564348	TRUE	5.703783	6.160541	FALSE	11.84267	"excellent"	9.067107	1.098612	12	2.221081	"female"	TRUE	FALSE
1	4.564348	TRUE	5.703783	6.160541	FALSE	11.84267	"excellent"	9.067107	1.386294	12	3.221081	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"excellent"	9.067107	1.098612	12	26.97057	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"excellent"	9.067107	1.098612	12	27.97057	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"excellent"	9.067107	1.386294	12	28.97057	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"excellent"	9.067107	1.098612	14	29.56058	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"excellent"	9.067107	1.098612	14	30.56058	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"excellent"	9.067107	1.386294	14	31.56058	"male"	FALSE	FALSE
10	4.564348	TRUE	5.05529	5.755076	FALSE	10.3	"fair"	8.559318	0.6931472	15	23.27173	"female"	FALSE	FALSE
3	4.564348	TRUE	5.05529	5.755076	FALSE	10.3	"fair"	8.559318	0.6931472	15	24.27173	"female"	FALSE	FALSE
2	4.564348	TRUE	5.05529	5.755076	FALSE	17.2	"excellent"	8.559318	0.6931472	10	26.0397	"male"	FALSE	FALSE
0	4.564348	TRUE	5.05529	5.755076	FALSE	17.2	"excellent"	8.559318	0.6931472	10	27.0397	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.272128	1.098612	19	29.02669	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.272128	1.098612	19	30.02669	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.272128	1.098612	19	31.02669	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	9.272128	1.098612	18	31.11841	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	9.272128	1.098612	18	32.11841	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	9.272128	1.098612	18	33.11841	"male"	FALSE	FALSE
11	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"good"	9.272128	1.098612	19	0.6187543	"female"	TRUE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"good"	9.272128	1.098612	19	1.618754	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"good"	9.272128	1.098612	19	2.618754	"female"	TRUE	FALSE
3	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	2.217659	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	3.217659	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	4.217659	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	5.217659	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	6.217659	"male"	TRUE	FALSE
11	3.258096	FALSE	6.574629	7.960924	TRUE	10.3	"excellent"	9.067237	1.098612	12	31.14031	"female"	FALSE	FALSE
1	3.258096	FALSE	6.574629	7.960924	TRUE	10.3	"excellent"	9.067237	1.098612	12	32.14032	"female"	FALSE	FALSE
0	3.258096	FALSE	6.574629	7.960924	TRUE	10.3	"excellent"	9.067237	1.098612	12	33.14032	"female"	FALSE	FALSE
0	3.258096	FALSE	6.574629	7.960924	TRUE	10.3	"excellent"	9.067237	1.098612	12	34.14032	"female"	FALSE	FALSE
0	3.258096	FALSE	6.574629	7.960924	TRUE	10.3	"excellent"	9.067237	1.098612	12	35.14032	"female"	FALSE	FALSE
1	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	4.046544	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	5.046544	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	6.046544	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	7.046544	"male"	TRUE	FALSE
0	3.258096	FALSE	6.574629	7.960924	FALSE	11.84267	"excellent"	9.067237	1.098612	12	8.046543	"male"	TRUE	FALSE
24	0	FALSE	3.696848	0	FALSE	10.3	"fair"	8.992148	0.6931472	9	52.14237	"female"	FALSE	FALSE
11	0	FALSE	3.696848	0	FALSE	10.3	"fair"	8.992148	0.6931472	9	53.14237	"female"	FALSE	FALSE
4	0	FALSE	3.696848	0	FALSE	10.3	"fair"	8.992148	0.6931472	9	54.14237	"female"	FALSE	FALSE
6	0	FALSE	3.696848	0	FALSE	13.8	"fair"	8.992148	0.6931472	4.5	57.013	"male"	FALSE	FALSE
4	0	FALSE	3.696848	0	FALSE	13.8	"fair"	8.992148	0.6931472	4.5	58.013	"male"	FALSE	FALSE
3	0	FALSE	3.696848	0	FALSE	13.8	"fair"	8.992148	0.6931472	4.5	59.013	"male"	FALSE	FALSE
7	3.258096	FALSE	6.115671	7.501966	FALSE	11.84267	"good"	8.540235	1.386294	14	4.66256	"female"	TRUE	FALSE
8	3.258096	FALSE	6.115671	7.501966	FALSE	11.84267	"good"	8.540235	1.386294	14	5.66256	"female"	TRUE	FALSE
3	3.258096	FALSE	6.115671	7.501966	FALSE	11.84267	"good"	8.540235	1.386294	14	6.66256	"female"	TRUE	FALSE
2	3.258096	FALSE	6.115671	7.501966	FALSE	27.6	"good"	8.540235	1.386294	14	30.75428	"female"	FALSE	FALSE
3	3.258096	FALSE	6.115671	7.501966	FALSE	27.6	"good"	8.540235	1.386294	14	31.75428	"female"	FALSE	FALSE
1	3.258096	FALSE	6.115671	7.501966	FALSE	27.6	"good"	8.540235	1.386294	14	32.75428	"female"	FALSE	FALSE
2	3.258096	FALSE	6.115671	7.501966	FALSE	10.3	"good"	8.540235	1.386294	13	29.79603	"male"	FALSE	FALSE
0	3.258096	FALSE	6.115671	7.501966	FALSE	10.3	"good"	8.540235	1.386294	13	30.79603	"male"	FALSE	FALSE
1	3.258096	FALSE	6.115671	7.501966	FALSE	10.3	"good"	8.540235	1.386294	13	31.79603	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.132978	1.098612	12	13.4538	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.132978	1.098612	12	14.4538	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.132978	1.098612	12	15.4538	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.132978	1.098612	12	32.56673	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.132978	1.098612	12	33.56673	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.132978	1.098612	12	34.56673	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.132978	1.098612	13	36.06845	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.132978	1.098612	13	37.06845	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.132978	1.098612	13	38.06845	"male"	FALSE	FALSE
3	4.564348	FALSE	5.947513	5.998806	TRUE	27.6	"fair"	9.067237	0	12	22.10541	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	9.067237	0	12	37.31964	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	9.067237	0	12	38.31964	"male"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	9.067237	0	12	39.31964	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	4.246407	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	5.246407	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	6.246407	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.145573	1.609438	7	30.65024	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.145573	1.609438	7	31.65024	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.145573	1.609438	7	32.65024	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	10.83368	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	11.83368	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	12.83368	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.145573	1.609438	11	28.52019	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.145573	1.609438	11	29.52019	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.145573	1.609438	11	30.52019	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	8.621492	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	9.621492	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.145573	1.609438	11	10.62149	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.327601	1.098612	12	2.105407	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.327601	1.098612	12	3.105407	"female"	TRUE	FALSE
14	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.327601	1.098612	12	4.105407	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	10.3	"good"	8.327601	1.098612	12	25.90007	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	10.3	"good"	8.327601	1.098612	12	26.90007	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.327601	1.098612	12	27.90007	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.327601	1.098612	12	24.74743	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	3.4	"excellent"	8.327601	1.098612	12	25.74743	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	3.4	"excellent"	8.327601	1.098612	12	26.74743	"female"	FALSE	FALSE
1	4.564348	TRUE	4.341856	5.755076	FALSE	10.3	"excellent"	8.662545	0.6931472	13	22.63381	"female"	FALSE	FALSE
1	4.564348	TRUE	4.341856	5.755076	FALSE	10.3	"excellent"	8.662545	1.098612	13	23.63381	"female"	FALSE	FALSE
2	4.564348	TRUE	4.341856	5.755076	FALSE	10.3	"excellent"	8.662545	1.098612	13	24.63381	"female"	FALSE	FALSE
1	4.564348	TRUE	4.341856	5.755076	FALSE	6.9	"good"	8.662545	0.6931472	15	26.83641	"male"	FALSE	FALSE
0	4.564348	TRUE	4.341856	5.755076	FALSE	6.9	"good"	8.662545	1.098612	15	27.83641	"male"	FALSE	FALSE
0	4.564348	TRUE	4.341856	5.755076	FALSE	6.9	"good"	8.662545	1.098612	15	28.83641	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	13.82888	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	14.82888	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	15.82888	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	8.944104	1.94591	12	15.95072	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	8.944104	1.94591	12	16.95072	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.944104	1.94591	12	17.95072	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"excellent"	8.944104	1.94591	11	18.22313	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.944104	1.94591	11	19.22313	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.944104	1.94591	11	20.22313	"male"	FALSE	FALSE
10	0	FALSE	0	0	TRUE	24.1	"good"	8.944104	1.94591	12	40.07392	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	24.1	"good"	8.944104	1.94591	12	41.07392	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	24.1	"good"	8.944104	1.94591	12	42.07392	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	11.9781	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	12.9781	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	13.9781	"female"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	17.2	"fair"	8.944104	1.94591	12	42.01232	"male"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	17.2	"fair"	8.944104	1.94591	12	43.01232	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"fair"	8.944104	1.94591	12	44.01232	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	5.048597	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	6.048597	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.944104	1.94591	12	7.048597	"female"	TRUE	FALSE
15	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.336764	1.609438	12	0.7255304	"male"	TRUE	FALSE
9	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.336764	1.609438	12	1.725531	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.336764	1.609438	12	2.72553	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.336764	1.609438	12	3.72553	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.336764	1.609438	12	4.725531	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.336764	1.609438	13	28.73648	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.336764	1.609438	13	29.73648	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.336764	1.609438	13	30.73648	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.336764	1.609438	13	31.73648	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.336764	1.609438	13	32.73648	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	7.66872	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	8.66872	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	9.66872	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	10.66872	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	11.66872	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.336764	1.609438	12	30.09446	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.336764	1.609438	12	31.09446	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.336764	1.609438	12	32.09446	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.336764	1.609438	12	33.09446	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.336764	1.609438	12	34.09446	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	10.54346	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	11.54346	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	12.54346	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	13.54346	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.336764	1.609438	12	14.54346	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.754597	1.386294	16	17.91923	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.754597	1.386294	16	18.91923	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.754597	1.386294	16	19.91923	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.754597	1.386294	12	22.03148	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.754597	1.386294	12	23.03148	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.754597	1.386294	12	24.03148	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"excellent"	9.754597	1.386294	16	43.19507	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"excellent"	9.754597	1.386294	16	44.19507	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"excellent"	9.754597	1.386294	16	45.19507	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.754597	1.386294	13	47.53456	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.754597	1.386294	13	48.53456	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.754597	1.386294	13	49.53456	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.015011	1.098612	12	6.521561	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.015011	1.098612	12	7.521561	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.015011	1.386294	12	8.521561	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.015011	1.098612	12	2.507871	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.015011	1.098612	12	3.507871	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.015011	1.386294	12	4.507871	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	13.8	"excellent"	9.015011	1.098612	12	25.8809	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"excellent"	9.015011	1.098612	12	26.8809	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	9.015011	1.386294	12	27.8809	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	20.7	"fair"	8.39278	0	12	43.50445	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	20.7	"fair"	8.39278	0	12	44.50445	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	20.7	"fair"	8.39278	0	12	45.50445	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	20.7	"fair"	8.39278	0	12	46.50445	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	20.7	"fair"	8.39278	0	12	47.50445	"male"	FALSE	FALSE
4	3.258096	FALSE	6.87363	8.259924	FALSE	3.4	"good"	9.249883	1.386294	12	32.52567	"female"	FALSE	TRUE
0	3.258096	FALSE	6.87363	8.259924	FALSE	3.4	"good"	9.249883	1.386294	12	33.52567	"female"	FALSE	TRUE
2	3.258096	FALSE	6.87363	8.259924	FALSE	3.4	"good"	9.249883	1.609438	12	34.52567	"female"	FALSE	TRUE
3	3.258096	FALSE	6.87363	8.259924	FALSE	3.4	"good"	9.249883	1.609438	12	35.52567	"female"	FALSE	TRUE
11	3.258096	FALSE	6.87363	8.259924	FALSE	3.4	"good"	9.249883	1.609438	12	36.52567	"female"	FALSE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	0	"excellent"	9.249883	1.386294	12	36.05476	"male"	FALSE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	0	"excellent"	9.249883	1.386294	12	37.05476	"male"	FALSE	TRUE
0	3.258096	FALSE	6.87363	8.259924	FALSE	0	"excellent"	9.249883	1.609438	12	38.05476	"male"	FALSE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	0	"excellent"	9.249883	1.609438	12	39.05476	"male"	FALSE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	0	"excellent"	9.249883	1.609438	12	40.05476	"male"	FALSE	TRUE
3	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.386294	12	10.59822	"male"	TRUE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.386294	12	11.59822	"male"	TRUE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.609438	12	12.59822	"male"	TRUE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.609438	12	13.59822	"male"	TRUE	TRUE
0	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.609438	12	14.59822	"male"	TRUE	TRUE
3	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.386294	12	7.022587	"female"	TRUE	TRUE
0	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.386294	12	8.022587	"female"	TRUE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.609438	12	9.022587	"female"	TRUE	TRUE
1	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.609438	12	10.02259	"female"	TRUE	TRUE
3	3.258096	FALSE	6.87363	8.259924	FALSE	11.84267	"excellent"	9.249883	1.609438	12	11.02259	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.243038	0	12	44.77481	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.243038	0	12	45.77481	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.243038	0	12	46.77481	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	8.955217	0.6931472	12	51.85489	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	8.955217	0.6931472	12	52.85489	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	8.955217	0.6931472	12	53.85489	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	8.955217	0.6931472	12	54.85489	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	8.955217	0.6931472	12	55.85489	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.955217	0.6931472	12	49.16906	"female"	FALSE	FALSE
7	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.955217	0.6931472	12	50.16906	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.955217	0.6931472	12	51.16906	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.955217	0.6931472	12	52.16906	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.955217	0.6931472	12	53.16906	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	2.841889	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	3.841889	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	4.841889	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	1.820671	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	2.820671	"male"	TRUE	FALSE
8	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	3.820671	"male"	TRUE	FALSE
12	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	8.984312	1.609438	13	30.56263	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	8.984312	1.609438	13	31.56263	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	8.984312	1.609438	13	32.56263	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.984312	1.609438	12	37.03217	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.984312	1.609438	12	38.03217	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.984312	1.609438	12	39.03217	"male"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	5.629021	"female"	TRUE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	6.629021	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.984312	1.609438	13	7.629021	"female"	TRUE	FALSE
2	4.564348	FALSE	0	6.959049	FALSE	27.6	"good"	7.724003	0	16	26.81177	"female"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	27.6	"good"	7.724003	0	16	27.81177	"female"	FALSE	FALSE
5	4.564348	FALSE	0	6.959049	FALSE	27.6	"good"	7.724003	0	16	28.81177	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.604271	1.386294	12	11.96167	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.604271	1.386294	12	12.96167	"male"	TRUE	FALSE
11	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.604271	1.386294	12	13.96167	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.604271	1.386294	12	36.82135	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.604271	1.386294	12	37.82135	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.604271	1.386294	12	38.82135	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.604271	1.386294	19	41.27036	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.604271	1.386294	19	42.27036	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.604271	1.386294	19	43.27036	"male"	FALSE	FALSE
11	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.604271	1.386294	12	9.785079	"female"	TRUE	FALSE
11	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.604271	1.386294	12	10.78508	"female"	TRUE	FALSE
11	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.604271	1.386294	12	11.78508	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	10.03118	1.386294	12	39.06366	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	10.03118	1.386294	12	40.06366	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	10.03118	1.386294	12	41.06366	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"excellent"	10.03118	1.386294	12	36.29843	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"excellent"	10.03118	1.386294	12	37.29843	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	10.03118	1.386294	12	38.29843	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.03118	1.386294	12	12.64613	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.03118	1.386294	12	13.64613	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.03118	1.386294	12	14.64613	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	10.03118	1.386294	12	17.4319	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	10.03118	1.386294	12	18.4319	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	10.03118	1.386294	12	19.4319	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.286307	1.609438	16	30.68583	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.286307	1.609438	16	31.68583	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.286307	1.609438	16	32.68583	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	10.97878	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	11.97878	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	12.97878	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	5.111567	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	6.111567	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	7.111567	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.286307	1.609438	12	30.23409	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.286307	1.609438	12	31.23409	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.286307	1.609438	12	32.23409	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	9.127995	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	10.12799	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.286307	1.609438	12	11.12799	"female"	TRUE	FALSE
7	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"fair"	9.067237	0	13	60.76112	"female"	FALSE	FALSE
16	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"fair"	9.067237	0	13	61.76112	"female"	FALSE	FALSE
10	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"fair"	9.067237	0	13	62.76112	"female"	FALSE	FALSE
2	4.564348	TRUE	4.362206	5.061929	FALSE	10.3	"good"	8.879855	0	12	23.92608	"male"	FALSE	FALSE
2	4.564348	TRUE	4.362206	5.061929	FALSE	10.3	"good"	8.879855	0	12	24.92608	"male"	FALSE	FALSE
0	4.564348	TRUE	4.362206	5.061929	FALSE	10.3	"good"	8.879855	0	12	25.92608	"male"	FALSE	FALSE
2	3.258096	FALSE	6.151668	7.537962	TRUE	6.9	"excellent"	8.184887	0	13	20.89528	"female"	FALSE	FALSE
1	3.258096	FALSE	6.151668	7.537962	TRUE	6.9	"excellent"	8.184887	0	13	21.89528	"female"	FALSE	FALSE
12	3.258096	FALSE	6.151668	7.537962	TRUE	6.9	"excellent"	8.184887	0	13	22.89528	"female"	FALSE	FALSE
3	3.258096	FALSE	6.151668	7.537962	TRUE	6.9	"excellent"	8.184887	0	13	23.89528	"female"	FALSE	FALSE
4	3.258096	FALSE	6.151668	7.537962	TRUE	6.9	"excellent"	8.184887	0	13	24.89528	"female"	FALSE	FALSE
2	3.258096	FALSE	6.158038	7.544332	FALSE	17.2	"good"	8.158372	0	12	54.9076	"female"	FALSE	FALSE
7	3.258096	FALSE	6.158038	7.544332	FALSE	17.2	"good"	8.158372	0	12	55.9076	"female"	FALSE	FALSE
5	3.258096	FALSE	6.158038	7.544332	FALSE	17.2	"good"	8.158372	0	12	56.9076	"female"	FALSE	FALSE
5	3.258096	FALSE	6.158038	7.544332	FALSE	17.2	"good"	8.158372	0	12	57.9076	"female"	FALSE	FALSE
6	3.258096	FALSE	6.158038	7.544332	FALSE	17.2	"good"	8.158372	0	12	58.9076	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.338004	0.6931472	12	51.54552	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.338004	0.6931472	12	52.54552	"male"	FALSE	FALSE
9	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.338004	0.6931472	12	53.54552	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"good"	9.338004	0.6931472	12	51.90417	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"good"	9.338004	0.6931472	12	52.90417	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"good"	9.338004	0.6931472	12	53.90417	"female"	FALSE	FALSE
2	4.564348	FALSE	5.587249	5.638542	TRUE	17.2	"good"	8.254374	0	16	24.70089	"male"	FALSE	FALSE
14	4.564348	FALSE	5.587249	5.638542	TRUE	17.2	"good"	8.254374	0	16	25.70089	"male"	FALSE	FALSE
2	4.564348	FALSE	5.587249	5.638542	TRUE	17.2	"good"	8.254374	0	16	26.70089	"male"	FALSE	FALSE
0	0	FALSE	4.342636	0	FALSE	13.8	"good"	8.986001	0	12	59.98083	"female"	FALSE	FALSE
3	0	FALSE	4.342636	0	FALSE	13.8	"good"	8.986001	0	12	60.98083	"female"	FALSE	FALSE
3	0	FALSE	4.342636	0	FALSE	13.8	"good"	8.986001	0	12	61.98083	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.315398	0.6931472	21	31.05818	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"excellent"	9.315398	0.6931472	16	28.26831	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.98203	0.6931472	12	28.73648	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.98203	0.6931472	12	29.73648	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.98203	0.6931472	12	30.73648	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	8.98203	0.6931472	12	27.30459	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	8.98203	0.6931472	12	28.30459	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	8.98203	0.6931472	12	29.30459	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.067237	0.6931472	12	25.70842	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.067237	0.6931472	12	26.70842	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.067237	0.6931472	12	27.70842	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.067237	0.6931472	12	28.70842	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.067237	0.6931472	12	29.70842	"male"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	6.9	"excellent"	9.067237	0.6931472	12	24.95004	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	6.9	"excellent"	9.067237	0.6931472	12	25.95004	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	6.9	"excellent"	9.067237	0.6931472	12	26.95004	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	6.9	"excellent"	9.067237	0.6931472	12	27.95004	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	6.9	"excellent"	9.067237	0.6931472	12	28.95004	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.490312	1.386294	18	8.492813	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.490312	1.386294	18	9.492813	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.490312	1.386294	18	10.49281	"female"	TRUE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.490312	1.386294	18	39.92608	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.490312	1.386294	18	40.92608	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.490312	1.386294	18	41.92608	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"excellent"	9.490312	1.386294	18	35.47433	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"excellent"	9.490312	1.386294	18	36.47433	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"excellent"	9.490312	1.386294	18	37.47433	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.490312	1.386294	18	6.212183	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.490312	1.386294	18	7.212183	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.490312	1.386294	18	8.212183	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"fair"	9.521729	1.609438	14	55.14305	"male"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"fair"	9.521729	1.609438	14	56.14305	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"fair"	9.521729	1.609438	14	57.14305	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"fair"	9.521729	1.609438	14	58.14305	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"fair"	9.521729	1.609438	14	59.14305	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.521729	1.609438	12	13.08145	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.521729	1.609438	12	14.08145	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.521729	1.609438	12	15.08145	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.521729	1.609438	12	16.08145	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.521729	1.609438	12	17.08145	"female"	TRUE	FALSE
9	3.258096	FALSE	6.907755	8.294049	TRUE	31	"fair"	9.521729	1.609438	12	48.99384	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	31	"fair"	9.521729	1.609438	12	49.99384	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	31	"fair"	9.521729	1.609438	12	50.99384	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	31	"fair"	9.521729	1.609438	12	51.99384	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	31	"fair"	9.521729	1.609438	12	52.99384	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.521729	1.609438	12	10.49692	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.521729	1.609438	12	11.49692	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.521729	1.609438	12	12.49692	"male"	TRUE	FALSE
7	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.521729	1.609438	12	13.49692	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"fair"	9.521729	1.609438	12	14.49692	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"good"	9.521729	1.609438	12	14.15469	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"good"	9.521729	1.609438	12	15.15469	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"good"	9.521729	1.609438	12	16.15469	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"good"	9.521729	1.609438	12	17.15469	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"good"	9.521729	1.609438	12	18.15469	"female"	FALSE	FALSE
0	3.258096	FALSE	6.612041	7.998335	FALSE	3.4	"excellent"	8.877158	0.6931472	12	36.45996	"male"	FALSE	FALSE
2	3.258096	FALSE	6.612041	7.998335	FALSE	3.4	"excellent"	8.877158	0.6931472	12	37.45996	"male"	FALSE	FALSE
0	3.258096	FALSE	6.612041	7.998335	FALSE	3.4	"excellent"	8.877158	0.6931472	12	38.45996	"male"	FALSE	FALSE
1	4.564348	FALSE	5.042651	5.746707	TRUE	17.2	"excellent"	8.307327	0	12	22.55989	"female"	FALSE	FALSE
1	4.564348	FALSE	5.042651	5.746707	TRUE	17.2	"excellent"	8.307327	0	12	23.55989	"female"	FALSE	FALSE
1	4.564348	FALSE	5.042651	5.746707	TRUE	17.2	"excellent"	8.307327	0	12	24.55989	"female"	FALSE	FALSE
0	4.564348	FALSE	5.519459	5.570752	FALSE	10.3	"excellent"	9.067237	0	14	23.18686	"male"	FALSE	FALSE
0	4.564348	FALSE	5.519459	5.570752	FALSE	10.3	"excellent"	9.067237	0.6931472	14	24.18686	"male"	FALSE	FALSE
0	4.564348	FALSE	5.519459	5.570752	FALSE	10.3	"excellent"	9.067237	0.6931472	14	25.18686	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	8.786052	1.098612	12	22.28611	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	8.786052	1.386294	12	23.28611	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	8.786052	1.386294	12	24.28611	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	8.786052	1.098612	12	20.63518	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	8.786052	1.386294	12	21.63518	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"good"	8.786052	1.386294	12	22.63518	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.786052	1.098612	12	0.678987	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.786052	1.386294	12	1.678987	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	8.786052	1.386294	12	2.678987	"female"	TRUE	FALSE
5	4.564348	TRUE	0	6.160541	FALSE	3.4	"poor"	8.757037	1.098612	14	16.25188	"female"	TRUE	FALSE
4	4.564348	TRUE	0	6.160541	FALSE	3.4	"poor"	8.757037	0.6931472	14	17.25188	"female"	TRUE	FALSE
3	4.564348	TRUE	0	6.160541	FALSE	3.4	"poor"	8.757037	0.6931472	14	18.25188	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"excellent"	8.757037	1.098612	14	16.25188	"male"	TRUE	FALSE
8	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.757037	1.098612	14	45.89185	"female"	FALSE	FALSE
8	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.757037	0.6931472	14	46.89185	"female"	FALSE	FALSE
5	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.757037	0.6931472	14	47.89185	"female"	FALSE	FALSE
2	0	FALSE	6.475741	0	TRUE	17.2	"good"	9.067237	1.098612	16	55.83025	"male"	FALSE	FALSE
6	0	FALSE	6.475741	0	TRUE	17.2	"good"	9.067237	1.098612	16	56.83025	"male"	FALSE	FALSE
13	0	FALSE	6.475741	0	TRUE	17.2	"good"	9.067237	1.098612	16	57.83025	"male"	FALSE	FALSE
2	0	FALSE	6.475741	0	TRUE	20.7	"good"	9.067237	1.098612	12	53.15811	"female"	FALSE	FALSE
1	0	FALSE	6.475741	0	TRUE	20.7	"good"	9.067237	1.098612	12	54.15811	"female"	FALSE	FALSE
5	0	FALSE	6.475741	0	TRUE	20.7	"good"	9.067237	1.098612	12	55.15811	"female"	FALSE	FALSE
6	0	FALSE	6.475741	0	FALSE	11.84267	"excellent"	9.067237	1.098612	12	12.04107	"female"	TRUE	FALSE
8	0	FALSE	6.475741	0	FALSE	11.84267	"excellent"	9.067237	1.098612	12	13.04107	"female"	TRUE	FALSE
6	0	FALSE	6.475741	0	FALSE	11.84267	"excellent"	9.067237	1.098612	12	14.04107	"female"	TRUE	FALSE
6	0	FALSE	3.295837	0	FALSE	13.8	"good"	9.967926	1.609438	12	45.39357	"female"	FALSE	FALSE
7	0	FALSE	3.295837	0	FALSE	13.8	"good"	9.967926	1.609438	12	46.39357	"female"	FALSE	FALSE
5	0	FALSE	3.295837	0	FALSE	13.8	"good"	9.967926	1.609438	12	47.39357	"female"	FALSE	FALSE
10	0	FALSE	3.295837	0	FALSE	13.8	"good"	9.967926	1.609438	12	48.39357	"female"	FALSE	FALSE
10	0	FALSE	3.295837	0	FALSE	13.8	"good"	9.967926	1.609438	12	49.39357	"female"	FALSE	FALSE
1	0	FALSE	3.295837	0	FALSE	11.84267	"excellent"	9.967926	1.609438	12	11.29363	"male"	TRUE	FALSE
1	0	FALSE	3.295837	0	FALSE	11.84267	"excellent"	9.967926	1.609438	12	12.29363	"male"	TRUE	FALSE
1	0	FALSE	3.295837	0	FALSE	11.84267	"excellent"	9.967926	1.609438	12	13.29363	"male"	TRUE	FALSE
2	0	FALSE	3.295837	0	FALSE	11.84267	"excellent"	9.967926	1.609438	12	14.29363	"male"	TRUE	FALSE
3	0	FALSE	3.295837	0	FALSE	11.84267	"excellent"	9.967926	1.609438	12	15.29363	"male"	TRUE	FALSE
1	0	FALSE	3.295837	0	FALSE	0	"excellent"	9.967926	1.609438	12	16.53662	"male"	TRUE	FALSE
0	0	FALSE	3.295837	0	FALSE	0	"excellent"	9.967926	1.609438	12	17.53662	"male"	TRUE	FALSE
1	0	FALSE	3.295837	0	FALSE	0	"excellent"	9.967926	1.609438	12	18.53662	"male"	FALSE	FALSE
4	0	FALSE	3.295837	0	FALSE	0	"excellent"	9.967926	1.609438	12	19.53662	"male"	FALSE	FALSE
4	0	FALSE	3.295837	0	FALSE	0	"excellent"	9.967926	1.609438	12	20.53662	"male"	FALSE	FALSE
0	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	12	48.30116	"male"	FALSE	FALSE
1	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	12	49.30116	"male"	FALSE	FALSE
0	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	12	50.30116	"male"	FALSE	FALSE
0	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	12	51.30116	"male"	FALSE	FALSE
5	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	12	52.30116	"male"	FALSE	FALSE
6	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	13	20.13963	"female"	FALSE	FALSE
17	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	13	21.13963	"female"	FALSE	FALSE
7	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	13	22.13963	"female"	FALSE	FALSE
6	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	13	23.13963	"female"	FALSE	FALSE
7	0	FALSE	3.295837	0	FALSE	6.9	"excellent"	9.967926	1.609438	13	24.13963	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	14	32.87885	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	14	33.87885	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	14	34.87885	"male"	FALSE	FALSE
2	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	14	35.87885	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	14	36.87885	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	6.551677	"female"	TRUE	FALSE
3	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	7.551677	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	8.551677	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	9.551677	"female"	TRUE	FALSE
1	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	10.55168	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	4.232718	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	5.232718	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	6.232718	"female"	TRUE	FALSE
2	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	7.232718	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	11.84267	"excellent"	9.067237	1.386294	13	8.232718	"female"	TRUE	FALSE
1	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	13	32.36687	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	13	33.36687	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	13	34.36687	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	13	35.36687	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.105732	FALSE	13.8	"excellent"	9.067237	1.386294	13	36.36687	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	9.345768	0.6931472	15	24.27926	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.345768	0.6931472	15	25.27926	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	9.345768	0.6931472	15	26.27926	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.345768	1.098612	15	27.27926	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	9.345768	1.098612	15	28.27926	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.345768	0.6931472	17	27.6167	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.345768	0.6931472	17	28.6167	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.345768	0.6931472	17	29.6167	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.345768	1.098612	17	30.6167	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.345768	1.098612	17	31.6167	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.18988	0.6931472	15	24.50924	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.18988	0.6931472	15	25.50924	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.18988	0.6931472	15	26.50924	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.18988	1.098612	15	27.50924	"female"	FALSE	FALSE
6	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.18988	1.098612	15	28.50924	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.18988	0.6931472	15	25.51129	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.18988	0.6931472	15	26.51129	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.18988	0.6931472	15	27.51129	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.18988	1.098612	15	28.51129	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.18988	1.098612	15	29.51129	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.696058	0.6931472	12	27.49897	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.696058	0.6931472	12	28.49897	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.696058	0.6931472	12	29.49897	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"good"	8.696058	0.6931472	12	27.34018	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"good"	8.696058	0.6931472	12	28.34018	"female"	FALSE	FALSE
8	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"good"	8.696058	0.6931472	12	29.34018	"female"	FALSE	FALSE
16	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.365046	0.6931472	12	52.04928	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.365046	0.6931472	12	53.04928	"female"	FALSE	FALSE
6	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.365046	0.6931472	12	54.04928	"female"	FALSE	FALSE
12	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.365046	0.6931472	14	48.86516	"male"	FALSE	FALSE
6	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.365046	0.6931472	14	49.86516	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.365046	0.6931472	14	50.86516	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	0.6931472	1.386294	13	3.19781	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	0.6931472	1.609438	13	4.19781	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	0.6931472	1.609438	13	5.19781	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	0.6931472	1.386294	14	25.16906	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	0.6931472	1.609438	14	26.16906	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	0.6931472	1.609438	14	27.16906	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	11.84267	"excellent"	0.6931472	1.386294	13	1.793292	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	11.84267	"excellent"	0.6931472	1.609438	13	2.793292	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	0.6931472	1.609438	13	3.793292	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	17.2	"excellent"	0.6931472	1.386294	13	23.74264	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	17.2	"excellent"	0.6931472	1.609438	13	24.74264	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	17.2	"excellent"	0.6931472	1.609438	13	25.74264	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"excellent"	9.290647	1.386294	12	32.96099	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.2	"excellent"	9.290647	1.386294	12	33.96099	"female"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	17.2	"excellent"	9.290647	1.386294	12	34.96099	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	9.290647	1.386294	12	35.96099	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.2	"excellent"	9.290647	1.386294	12	36.96099	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	6.9	"excellent"	9.290647	1.386294	10	33.16085	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	9.290647	1.386294	10	34.16085	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.290647	1.386294	10	35.16085	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.290647	1.386294	10	36.16085	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.290647	1.386294	10	37.16085	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.290647	1.386294	12	6.822724	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.290647	1.386294	12	7.822724	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.290647	1.386294	12	8.822724	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.290647	1.386294	12	9.822724	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.290647	1.386294	12	10.82272	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"good"	9.290647	1.386294	12	3.047228	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"good"	9.290647	1.386294	12	4.047228	"female"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	11.84267	"good"	9.290647	1.386294	12	5.047228	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"good"	9.290647	1.386294	12	6.047228	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	11.84267	"good"	9.290647	1.386294	12	7.047228	"female"	TRUE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	13.8	"good"	9.288588	0.6931472	12	54.65845	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.755076	FALSE	13.8	"good"	9.288588	0.6931472	12	55.65845	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	13.8	"good"	9.288588	0.6931472	12	56.65845	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	9.288588	0.6931472	12	54.40657	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	9.288588	0.6931472	12	55.40657	"male"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	9.288588	0.6931472	12	56.40657	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	17.2	"excellent"	9.566258	0.6931472	13	31.54278	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	17.2	"excellent"	9.566258	0.6931472	13	32.54278	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	17.2	"excellent"	9.566258	0.6931472	13	33.54278	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	10.3	"good"	9.566258	0.6931472	13	32.34223	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	10.3	"good"	9.566258	0.6931472	13	33.34223	"male"	FALSE	FALSE
15	3.258096	FALSE	6.907755	8.294049	TRUE	10.3	"good"	9.566258	0.6931472	13	34.34223	"male"	FALSE	FALSE
6	3.258096	FALSE	6.553078	7.939373	TRUE	24.1	"excellent"	9.016222	1.386294	16	53.5113	"male"	FALSE	FALSE
2	3.258096	FALSE	6.553078	7.939373	TRUE	24.1	"excellent"	9.016222	1.386294	16	54.5113	"male"	FALSE	FALSE
5	3.258096	FALSE	6.553078	7.939373	TRUE	24.1	"excellent"	9.016222	1.386294	16	55.5113	"male"	FALSE	FALSE
2	3.258096	FALSE	6.553078	7.939373	TRUE	24.1	"excellent"	9.016222	1.386294	12	50.46407	"female"	FALSE	FALSE
3	3.258096	FALSE	6.553078	7.939373	TRUE	24.1	"excellent"	9.016222	1.386294	12	51.46407	"female"	FALSE	FALSE
5	3.258096	FALSE	6.553078	7.939373	TRUE	24.1	"excellent"	9.016222	1.386294	12	52.46407	"female"	FALSE	FALSE
3	3.258096	FALSE	6.553078	7.939373	FALSE	11.84267	"excellent"	9.016222	1.386294	12	11.99179	"male"	TRUE	FALSE
0	3.258096	FALSE	6.553078	7.939373	FALSE	11.84267	"excellent"	9.016222	1.386294	12	12.99179	"male"	TRUE	FALSE
0	3.258096	FALSE	6.553078	7.939373	FALSE	11.84267	"excellent"	9.016222	1.386294	12	13.99179	"male"	TRUE	FALSE
0	3.258096	FALSE	6.553078	7.939373	FALSE	11.84267	"excellent"	9.016222	1.386294	12	10.53251	"male"	TRUE	FALSE
1	3.258096	FALSE	6.553078	7.939373	FALSE	11.84267	"excellent"	9.016222	1.386294	12	11.53251	"male"	TRUE	FALSE
0	3.258096	FALSE	6.553078	7.939373	FALSE	11.84267	"excellent"	9.016222	1.386294	12	12.53251	"male"	TRUE	FALSE
5	0	FALSE	5.988059	0	TRUE	34.5	"good"	8.987982	0.6931472	12	51.96988	"female"	FALSE	FALSE
7	0	FALSE	5.988059	0	TRUE	34.5	"good"	8.987982	0.6931472	12	52.96988	"female"	FALSE	FALSE
8	0	FALSE	5.988059	0	TRUE	34.5	"good"	8.987982	0.6931472	12	53.96988	"female"	FALSE	FALSE
5	0	FALSE	5.988059	0	TRUE	6.9	"good"	8.987982	0.6931472	12	55.30185	"male"	FALSE	FALSE
9	0	FALSE	5.988059	0	TRUE	6.9	"good"	8.987982	0.6931472	12	56.30185	"male"	FALSE	FALSE
3	0	FALSE	5.988059	0	TRUE	6.9	"good"	8.987982	0.6931472	12	57.30185	"male"	FALSE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	0	"excellent"	9.228227	1.609438	12	38.19028	"male"	FALSE	FALSE
1	4.564348	FALSE	6.72827	6.779563	FALSE	0	"excellent"	9.228227	1.609438	12	39.19028	"male"	FALSE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	0	"excellent"	9.228227	1.609438	12	40.19028	"male"	FALSE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	0	"excellent"	9.228227	1.791759	12	41.19028	"male"	FALSE	FALSE
1	4.564348	FALSE	6.72827	6.779563	FALSE	0	"excellent"	9.228227	1.791759	12	42.19028	"male"	FALSE	FALSE
1	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	9.848049	"male"	TRUE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	10.84805	"male"	TRUE	FALSE
1	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	11.84805	"male"	TRUE	FALSE
1	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.791759	12	12.84805	"male"	TRUE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.791759	12	13.84805	"male"	TRUE	FALSE
2	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	12.82683	"female"	TRUE	FALSE
3	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	13.82683	"female"	TRUE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	14.82683	"female"	TRUE	FALSE
1	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.791759	12	15.82683	"female"	TRUE	FALSE
4	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.791759	12	16.82683	"female"	TRUE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	11.04723	"female"	TRUE	FALSE
1	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	12.04723	"female"	TRUE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.609438	12	13.04723	"female"	TRUE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.791759	12	14.04723	"female"	TRUE	FALSE
0	4.564348	FALSE	6.72827	6.779563	FALSE	11.84267	"excellent"	9.228227	1.791759	12	15.04723	"female"	TRUE	FALSE
6	4.564348	FALSE	6.72827	6.779563	TRUE	10.3	"excellent"	9.228227	1.609438	12	35.66872	"female"	FALSE	FALSE
2	4.564348	FALSE	6.72827	6.779563	TRUE	10.3	"excellent"	9.228227	1.609438	12	36.66872	"female"	FALSE	FALSE
1	4.564348	FALSE	6.72827	6.779563	TRUE	10.3	"excellent"	9.228227	1.609438	12	37.66872	"female"	FALSE	FALSE
4	4.564348	FALSE	6.72827	6.779563	TRUE	10.3	"excellent"	9.228227	1.791759	12	38.66872	"female"	FALSE	FALSE
8	4.564348	FALSE	6.72827	6.779563	TRUE	10.3	"excellent"	9.228227	1.791759	12	39.66872	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"good"	9.416601	0	13	30.61465	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	9.416601	0	13	31.61465	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.416601	0	13	32.61465	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"good"	9.416601	0	13	33.61465	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	9.416601	0	13	34.61465	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.491153	1.098612	12	40.78302	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.491153	1.098612	12	41.78302	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.491153	1.098612	12	42.78302	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.491153	1.098612	12	11.5729	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.491153	1.098612	12	12.5729	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.491153	1.098612	12	13.5729	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.491153	1.098612	12	39.13758	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.491153	1.098612	12	40.13758	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.491153	1.098612	12	41.13758	"female"	FALSE	FALSE
2	4.564348	TRUE	6.079933	6.160541	FALSE	3.4	"good"	9.444877	1.098612	14	21.99863	"female"	FALSE	FALSE
3	4.564348	TRUE	6.079933	6.160541	FALSE	3.4	"good"	9.444877	1.098612	14	22.99863	"female"	FALSE	FALSE
0	4.564348	TRUE	6.079933	6.160541	FALSE	6.9	"excellent"	9.444877	1.098612	12	47.48528	"male"	FALSE	FALSE
0	4.564348	TRUE	6.079933	6.160541	FALSE	6.9	"excellent"	9.444877	1.098612	12	48.48528	"male"	FALSE	FALSE
2	4.564348	TRUE	6.079933	6.160541	FALSE	6.9	"excellent"	9.444877	0.6931472	12	49.48528	"male"	FALSE	FALSE
0	4.564348	TRUE	6.079933	6.160541	FALSE	3.4	"excellent"	9.444877	1.098612	13	47.87406	"female"	FALSE	FALSE
0	4.564348	TRUE	6.079933	6.160541	FALSE	3.4	"excellent"	9.444877	1.098612	13	48.87406	"female"	FALSE	FALSE
0	4.564348	TRUE	6.079933	6.160541	FALSE	3.4	"excellent"	9.444877	0.6931472	13	49.87406	"female"	FALSE	FALSE
4	4.564348	FALSE	6.680604	6.731897	TRUE	10.3	"good"	8.737796	0.6931472	9	29.96304	"female"	FALSE	FALSE
4	4.564348	FALSE	6.680604	6.731897	TRUE	10.3	"good"	8.737796	0.6931472	9	30.96304	"female"	FALSE	FALSE
0	4.564348	FALSE	6.680604	6.731897	TRUE	10.3	"good"	8.737796	0.6931472	9	31.96304	"female"	FALSE	FALSE
2	4.564348	FALSE	6.680604	6.731897	FALSE	11.84267	"excellent"	8.737796	0.6931472	9	12.20808	"male"	TRUE	FALSE
1	4.564348	FALSE	6.680604	6.731897	FALSE	11.84267	"excellent"	8.737796	0.6931472	9	13.20808	"male"	TRUE	FALSE
1	4.564348	FALSE	6.680604	6.731897	FALSE	11.84267	"excellent"	8.737796	0.6931472	9	14.20808	"male"	TRUE	FALSE
13	0	FALSE	0	0	FALSE	6.9	"good"	5.291564	0	14	21.94935	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	6.9	"good"	5.291564	0	14	22.94935	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"good"	5.291564	0	14	23.94935	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.277901	1.386294	13	4.566735	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.277901	1.386294	13	5.566735	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.277901	1.386294	13	6.566735	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.277901	1.386294	13	36.08487	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.277901	1.386294	13	37.08487	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.277901	1.386294	13	38.08487	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.277901	1.386294	11	30.57906	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.277901	1.386294	11	31.57906	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.277901	1.386294	11	32.57906	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.277901	1.386294	13	3.15948	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.277901	1.386294	13	4.15948	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.277901	1.386294	13	5.15948	"female"	TRUE	FALSE
1	4.564348	FALSE	5.375278	6.958999	FALSE	11.84267	"excellent"	9.067237	1.386294	16	1.089665	"male"	TRUE	FALSE
2	4.564348	FALSE	5.375278	6.958999	FALSE	11.84267	"excellent"	9.067237	1.386294	16	2.089665	"male"	TRUE	FALSE
1	4.564348	FALSE	5.375278	6.958999	FALSE	11.84267	"excellent"	9.067237	1.386294	16	3.089665	"male"	TRUE	FALSE
3	4.564348	FALSE	5.375278	6.958999	FALSE	20.7	"excellent"	9.067237	1.386294	16	30.43942	"female"	FALSE	FALSE
0	4.564348	FALSE	5.375278	6.958999	FALSE	20.7	"excellent"	9.067237	1.386294	16	31.43942	"female"	FALSE	FALSE
1	4.564348	FALSE	5.375278	6.958999	FALSE	20.7	"excellent"	9.067237	1.386294	16	32.43943	"female"	FALSE	FALSE
6	4.564348	FALSE	5.375278	6.958999	FALSE	6.9	"excellent"	9.067237	1.386294	22	33.71389	"male"	FALSE	FALSE
1	4.564348	FALSE	5.375278	6.958999	FALSE	6.9	"excellent"	9.067237	1.386294	22	34.71389	"male"	FALSE	FALSE
0	4.564348	FALSE	5.375278	6.958999	FALSE	6.9	"excellent"	9.067237	1.386294	22	35.71389	"male"	FALSE	FALSE
3	4.564348	FALSE	5.375278	6.958999	FALSE	11.84267	"excellent"	9.067237	1.386294	16	5.80972	"male"	TRUE	FALSE
1	4.564348	FALSE	5.375278	6.958999	FALSE	11.84267	"excellent"	9.067237	1.386294	16	6.80972	"male"	TRUE	FALSE
1	4.564348	FALSE	5.375278	6.958999	FALSE	11.84267	"excellent"	9.067237	1.386294	16	7.80972	"male"	TRUE	FALSE
4	0	FALSE	4.063885	0	FALSE	6.9	"good"	9.083487	1.386294	10	17.23477	"female"	TRUE	FALSE
0	0	FALSE	4.063885	0	FALSE	6.9	"good"	9.083487	1.386294	10	18.23477	"female"	FALSE	FALSE
4	0	FALSE	4.063885	0	FALSE	6.9	"good"	9.083487	1.386294	10	19.23477	"female"	FALSE	FALSE
8	0	FALSE	4.063885	0	FALSE	17.2	"good"	9.083487	1.386294	3	41.84805	"male"	FALSE	FALSE
1	0	FALSE	4.063885	0	FALSE	17.2	"good"	9.083487	1.386294	3	42.84805	"male"	FALSE	FALSE
2	0	FALSE	4.063885	0	FALSE	17.2	"good"	9.083487	1.386294	3	43.84805	"male"	FALSE	FALSE
10	0	FALSE	4.063885	0	FALSE	13.8	"good"	9.083487	1.386294	10	35.0527	"female"	FALSE	FALSE
7	0	FALSE	4.063885	0	FALSE	13.8	"good"	9.083487	1.386294	10	36.0527	"female"	FALSE	FALSE
7	0	FALSE	4.063885	0	FALSE	13.8	"good"	9.083487	1.386294	10	37.0527	"female"	FALSE	FALSE
3	0	FALSE	6.840974	0	FALSE	6.9	"excellent"	9.536144	1.791759	10	14.44216	"male"	TRUE	FALSE
1	0	FALSE	6.840974	0	FALSE	6.9	"excellent"	9.536144	1.791759	10	15.44216	"male"	TRUE	FALSE
4	0	FALSE	6.840974	0	FALSE	6.9	"excellent"	9.536144	1.791759	10	16.44216	"male"	TRUE	FALSE
2	0	FALSE	6.840974	0	FALSE	24.1	"excellent"	9.536144	1.791759	10	45.03217	"female"	FALSE	FALSE
2	0	FALSE	6.840974	0	FALSE	24.1	"excellent"	9.536144	1.791759	10	46.03217	"female"	FALSE	FALSE
3	0	FALSE	6.840974	0	FALSE	24.1	"excellent"	9.536144	1.791759	10	47.03217	"female"	FALSE	FALSE
2	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	12.3614	"female"	TRUE	FALSE
4	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	13.3614	"female"	TRUE	FALSE
4	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	14.3614	"female"	TRUE	FALSE
0	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	4.377823	"male"	TRUE	FALSE
3	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	5.377823	"male"	TRUE	FALSE
1	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	6.377823	"male"	TRUE	FALSE
2	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	10.28884	"male"	TRUE	FALSE
4	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	11.28884	"male"	TRUE	FALSE
1	0	FALSE	6.840974	0	FALSE	11.84267	"excellent"	9.536144	1.791759	10	12.28884	"male"	TRUE	FALSE
2	0	FALSE	6.840974	0	TRUE	13.8	"excellent"	9.536144	1.791759	8	46.20671	"male"	FALSE	FALSE
2	0	FALSE	6.840974	0	TRUE	13.8	"excellent"	9.536144	1.791759	8	47.20671	"male"	FALSE	FALSE
1	0	FALSE	6.840974	0	TRUE	13.8	"excellent"	9.536144	1.791759	8	48.20671	"male"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	10.3	"excellent"	8.313896	0	13	37.61259	"male"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	10.3	"excellent"	8.313896	0	13	38.61259	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	10.3	"excellent"	8.313896	0	13	39.61259	"male"	FALSE	FALSE
7	3.258096	FALSE	6.572423	7.958717	FALSE	24.1	"good"	8.443292	0	12	26.31622	"female"	FALSE	FALSE
9	3.258096	FALSE	6.572423	7.958717	FALSE	24.1	"good"	8.443292	0	12	27.31622	"female"	FALSE	FALSE
9	3.258096	FALSE	6.572423	7.958717	FALSE	24.1	"good"	8.443292	0	12	28.31622	"female"	FALSE	FALSE
5	4.564348	TRUE	0	5.755076	FALSE	3.4	"excellent"	7.65393	0.6931472	12	19.75359	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	3.4	"excellent"	7.65393	0.6931472	12	20.75359	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	FALSE	3.4	"excellent"	7.65393	0.6931472	12	21.75359	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	3.4	"excellent"	7.65393	0.6931472	11	23.09925	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	3.4	"excellent"	7.65393	0.6931472	11	24.09925	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	3.4	"excellent"	7.65393	0.6931472	11	25.09925	"male"	FALSE	FALSE
2	3.258096	FALSE	0	7.167964	FALSE	10.3	"good"	7.634554	0.6931472	12	20.94182	"female"	FALSE	FALSE
3	3.258096	FALSE	0	7.167964	FALSE	10.3	"good"	7.634554	1.098612	12	21.94182	"female"	FALSE	FALSE
2	3.258096	FALSE	0	7.167964	FALSE	10.3	"good"	7.634554	1.098612	12	22.94182	"female"	FALSE	FALSE
1	3.258096	FALSE	0	7.167964	FALSE	3.4	"excellent"	7.634554	0.6931472	12	22.02875	"male"	FALSE	FALSE
3	3.258096	FALSE	0	7.167964	FALSE	3.4	"excellent"	7.634554	1.098612	12	23.02875	"male"	FALSE	FALSE
4	3.258096	FALSE	0	7.167964	FALSE	3.4	"excellent"	7.634554	1.098612	12	24.02875	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.129741	1.386294	16	44.89801	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.129741	1.386294	16	45.89801	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.129741	1.386294	16	46.89801	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"excellent"	9.129741	1.386294	16	47.89801	"male"	FALSE	FALSE
23	0	FALSE	0	0	FALSE	3.4	"excellent"	9.129741	1.386294	16	48.89801	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	13.61533	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	14.61533	"male"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	15.61533	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	16.61533	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	17.61533	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	9.634497	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	10.6345	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	11.6345	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	12.6345	"male"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.129741	1.386294	12	13.6345	"male"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	20.7	"excellent"	9.129741	1.386294	12	45.73854	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	20.7	"excellent"	9.129741	1.386294	12	46.73854	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	20.7	"excellent"	9.129741	1.386294	12	47.73854	"female"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	20.7	"excellent"	9.129741	1.386294	12	48.73854	"female"	FALSE	FALSE
18	0	FALSE	0	0	FALSE	20.7	"excellent"	9.129741	1.386294	12	49.73854	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	8.128023	1.098612	9	47.10472	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.128023	1.098612	9	48.10472	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.128023	1.098612	9	49.10472	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"fair"	8.128023	1.098612	9	16.45175	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	0	"fair"	8.128023	1.098612	9	17.45175	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	0	"fair"	8.128023	1.098612	9	18.45175	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"good"	8.203198	1.098612	10	23.3128	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"good"	8.203198	1.386294	10	24.3128	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.2	"good"	8.203198	1.386294	10	25.3128	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.203198	1.098612	12	24.18617	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.203198	1.386294	12	25.18617	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	8.203198	1.386294	12	26.18617	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	6.9	"excellent"	9.043825	1.386294	8	25.99042	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	6.9	"excellent"	9.043825	1.386294	8	26.99042	"male"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	6.9	"excellent"	9.043825	1.386294	8	27.99042	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"good"	9.043825	1.386294	11	5.144422	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"good"	9.043825	1.386294	11	6.144422	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"good"	9.043825	1.386294	11	7.144422	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	11.84267	"fair"	9.043825	1.386294	11	2.160164	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"fair"	9.043825	1.386294	11	3.160164	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"fair"	9.043825	1.386294	11	4.160164	"female"	TRUE	FALSE
17	0	FALSE	0	0	TRUE	34.5	"fair"	9.043825	1.386294	11	24.04381	"female"	FALSE	FALSE
19	0	FALSE	0	0	TRUE	34.5	"fair"	9.043825	1.386294	11	25.04381	"female"	FALSE	FALSE
13	0	FALSE	0	0	TRUE	34.5	"fair"	9.043825	1.386294	11	26.04381	"female"	FALSE	FALSE
6	0	FALSE	4.599152	0	FALSE	10.3	"excellent"	9.411865	0.6931472	16	53.73854	"male"	FALSE	FALSE
2	0	FALSE	4.599152	0	FALSE	10.3	"excellent"	9.411865	0.6931472	16	54.73854	"male"	FALSE	FALSE
7	0	FALSE	4.599152	0	FALSE	10.3	"excellent"	9.411865	0.6931472	16	55.73854	"male"	FALSE	FALSE
4	0	FALSE	4.599152	0	TRUE	17.2	"fair"	9.411865	0.6931472	12	48.32581	"female"	FALSE	FALSE
6	0	FALSE	4.599152	0	TRUE	17.2	"fair"	9.411865	0.6931472	12	49.32581	"female"	FALSE	FALSE
4	0	FALSE	4.599152	0	TRUE	17.2	"fair"	9.411865	0.6931472	12	50.32581	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	27.6	"excellent"	8.960878	0.6931472	10	43.89322	"female"	FALSE	FALSE
8	4.564348	TRUE	5.703783	5.755076	FALSE	27.6	"excellent"	8.960878	0.6931472	10	44.89322	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	27.6	"excellent"	8.960878	0.6931472	10	45.89322	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	8.960878	0.6931472	11	49.58795	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	8.960878	0.6931472	11	50.58795	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	8.960878	0.6931472	11	51.58795	"male"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	10.54073	"male"	TRUE	FALSE
1	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	11.54073	"male"	TRUE	FALSE
1	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	12.54073	"male"	TRUE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	13.54073	"male"	TRUE	FALSE
1	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	14.54073	"male"	TRUE	FALSE
13	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	11.95893	"female"	TRUE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	12.95893	"female"	TRUE	FALSE
1	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	13.95893	"female"	TRUE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	14.95893	"female"	TRUE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	15.95893	"female"	TRUE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	3.4	"good"	9.28255	1.609438	15	34.52703	"male"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	3.4	"good"	9.28255	1.609438	15	35.52703	"male"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	3.4	"good"	9.28255	1.609438	15	36.52703	"male"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	3.4	"good"	9.28255	1.609438	15	37.52703	"male"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	3.4	"good"	9.28255	1.609438	15	38.52703	"male"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	10.3	"excellent"	9.28255	1.609438	12	30.80082	"female"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	10.3	"excellent"	9.28255	1.609438	12	31.80082	"female"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	10.3	"excellent"	9.28255	1.609438	12	32.80082	"female"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	10.3	"excellent"	9.28255	1.609438	12	33.80082	"female"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	10.3	"excellent"	9.28255	1.609438	12	34.80082	"female"	FALSE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	13.00205	"male"	TRUE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	14.00205	"male"	TRUE	FALSE
2	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	15.00205	"male"	TRUE	FALSE
0	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	16.00205	"male"	TRUE	FALSE
1	4.564348	FALSE	6.114964	6.63781	FALSE	11.84267	"excellent"	9.28255	1.609438	12	17.00205	"male"	TRUE	FALSE
1	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	16.39699	"male"	TRUE	FALSE
1	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	17.39699	"male"	TRUE	FALSE
1	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	18.39699	"male"	FALSE	FALSE
1	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	19.39699	"male"	FALSE	FALSE
3	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	20.39699	"male"	FALSE	FALSE
0	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	14.59001	"male"	TRUE	FALSE
8	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	15.59001	"male"	TRUE	FALSE
0	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	16.59001	"male"	TRUE	FALSE
1	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	17.59001	"male"	TRUE	FALSE
4	0	FALSE	4.564348	0	FALSE	0	"excellent"	9.523317	1.609438	15	18.59001	"male"	FALSE	FALSE
10	0	FALSE	4.564348	0	TRUE	31	"good"	9.523317	1.609438	12	54.53525	"male"	FALSE	FALSE
6	0	FALSE	4.564348	0	TRUE	31	"good"	9.523317	1.609438	12	55.53525	"male"	FALSE	FALSE
3	0	FALSE	4.564348	0	TRUE	31	"good"	9.523317	1.609438	12	56.53525	"male"	FALSE	FALSE
3	0	FALSE	4.564348	0	TRUE	31	"good"	9.523317	1.609438	12	57.53525	"male"	FALSE	FALSE
8	0	FALSE	4.564348	0	TRUE	31	"good"	9.523317	1.609438	12	58.53525	"male"	FALSE	FALSE
0	0	FALSE	4.564348	0	FALSE	11.84267	"excellent"	9.523317	1.609438	15	11.99726	"female"	TRUE	FALSE
5	0	FALSE	4.564348	0	FALSE	11.84267	"excellent"	9.523317	1.609438	15	12.99726	"female"	TRUE	FALSE
4	0	FALSE	4.564348	0	FALSE	11.84267	"excellent"	9.523317	1.609438	15	13.99726	"female"	TRUE	FALSE
6	0	FALSE	4.564348	0	FALSE	11.84267	"excellent"	9.523317	1.609438	15	14.99726	"female"	TRUE	FALSE
4	0	FALSE	4.564348	0	FALSE	11.84267	"excellent"	9.523317	1.609438	15	15.99726	"female"	TRUE	FALSE
9	0	FALSE	4.564348	0	FALSE	10.3	"excellent"	9.523317	1.609438	15	47.07734	"female"	FALSE	FALSE
0	0	FALSE	4.564348	0	FALSE	10.3	"excellent"	9.523317	1.609438	15	48.07734	"female"	FALSE	FALSE
0	0	FALSE	4.564348	0	FALSE	10.3	"excellent"	9.523317	1.609438	15	49.07734	"female"	FALSE	FALSE
1	0	FALSE	4.564348	0	FALSE	10.3	"excellent"	9.523317	1.609438	15	50.07734	"female"	FALSE	FALSE
3	0	FALSE	4.564348	0	FALSE	10.3	"excellent"	9.523317	1.609438	15	51.07734	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.328564	1.098612	12	47.55099	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.328564	1.098612	12	48.55099	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.328564	1.098612	12	49.55099	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.328564	1.098612	15	52.63792	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.328564	1.098612	15	53.63792	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.328564	1.098612	15	54.63792	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.328564	1.098612	15	6.850103	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.328564	1.098612	15	7.850103	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.328564	1.098612	15	8.850102	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"good"	9.200599	0	12	40.31485	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"good"	9.200599	0	12	41.31485	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"good"	9.200599	0	12	42.31485	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"good"	9.200599	0	12	43.31485	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"good"	9.200599	0	12	44.31485	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.098612	12	1.0705	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.067237	1.098612	14	26.11088	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.067237	1.098612	12	22.25599	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.719618	1.609438	12	57.39083	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.719618	1.609438	12	58.39083	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	9.719618	1.386294	12	59.39083	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	9.719618	1.609438	12	20.04107	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	9.719618	1.609438	12	21.04107	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	9.719618	1.386294	12	22.04107	"female"	FALSE	FALSE
12	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.719618	1.609438	13	55.65229	"male"	FALSE	FALSE
62	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.719618	1.609438	13	56.65229	"male"	FALSE	FALSE
74	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.719618	1.386294	13	57.65229	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.719618	1.609438	10	18.30527	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.719618	1.609438	10	19.30527	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	3.4	"good"	9.719618	1.609438	12	15.66051	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	3.4	"good"	9.719618	1.609438	12	16.66051	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	TRUE	3.4	"good"	9.719618	1.386294	12	17.66051	"female"	TRUE	FALSE
11	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.766472	0	17	31.40315	"female"	FALSE	FALSE
16	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.766472	0	17	32.40315	"female"	FALSE	FALSE
26	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.766472	0.6931472	17	33.40315	"female"	FALSE	FALSE
7	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	1.037645	"male"	TRUE	FALSE
3	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	2.037645	"male"	TRUE	FALSE
4	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	3.037645	"male"	TRUE	FALSE
1	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	4.037645	"male"	TRUE	FALSE
2	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	5.037645	"male"	TRUE	FALSE
3	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	3.493498	"male"	TRUE	FALSE
2	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	4.493497	"male"	TRUE	FALSE
1	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	5.493497	"male"	TRUE	FALSE
2	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	6.493497	"male"	TRUE	FALSE
4	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	8.728106	1.386294	13	7.493497	"male"	TRUE	FALSE
0	3.258096	FALSE	0	8.294049	FALSE	10.3	"excellent"	8.728106	1.386294	12	27.05544	"male"	FALSE	FALSE
1	3.258096	FALSE	0	8.294049	FALSE	10.3	"excellent"	8.728106	1.386294	12	28.05544	"male"	FALSE	FALSE
0	3.258096	FALSE	0	8.294049	FALSE	10.3	"excellent"	8.728106	1.386294	12	29.05544	"male"	FALSE	FALSE
0	3.258096	FALSE	0	8.294049	FALSE	10.3	"excellent"	8.728106	1.386294	12	30.05544	"male"	FALSE	FALSE
2	3.258096	FALSE	0	8.294049	FALSE	10.3	"excellent"	8.728106	1.386294	12	31.05544	"male"	FALSE	FALSE
3	3.258096	FALSE	0	8.294049	FALSE	13.8	"excellent"	8.728106	1.386294	13	25.98768	"female"	FALSE	FALSE
4	3.258096	FALSE	0	8.294049	FALSE	13.8	"excellent"	8.728106	1.386294	13	26.98768	"female"	FALSE	FALSE
6	3.258096	FALSE	0	8.294049	FALSE	13.8	"excellent"	8.728106	1.386294	13	27.98768	"female"	FALSE	FALSE
1	3.258096	FALSE	0	8.294049	FALSE	13.8	"excellent"	8.728106	1.386294	13	28.98768	"female"	FALSE	FALSE
2	3.258096	FALSE	0	8.294049	FALSE	13.8	"excellent"	8.728106	1.386294	13	29.98768	"female"	FALSE	FALSE
4	3.258096	FALSE	0	6.624596	FALSE	6.9	"excellent"	8.020482	0	12	28.73922	"male"	FALSE	FALSE
4	3.258096	FALSE	0	6.624596	FALSE	6.9	"excellent"	8.020482	0	12	29.73922	"male"	FALSE	FALSE
2	3.258096	FALSE	0	6.624596	FALSE	6.9	"excellent"	8.020482	0	12	30.73922	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.07935	0.6931472	14	26.0397	"male"	FALSE	FALSE
11	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.07935	1.098612	14	27.0397	"male"	FALSE	FALSE
19	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.07935	1.098612	14	28.0397	"male"	FALSE	FALSE
19	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.07935	1.386294	14	29.0397	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.07935	1.386294	14	30.0397	"male"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.07935	0.6931472	12	25.08966	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.07935	1.098612	12	26.08966	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.07935	1.098612	12	27.08966	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.07935	1.386294	12	28.08966	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.07935	1.386294	12	29.08966	"female"	FALSE	FALSE
1	3.258096	FALSE	6.981507	8.294049	FALSE	3.4	"good"	9.268593	1.609438	11	31.01164	"male"	FALSE	FALSE
1	3.258096	FALSE	6.981507	8.294049	FALSE	3.4	"good"	9.268593	1.609438	11	32.01163	"male"	FALSE	FALSE
0	3.258096	FALSE	6.981507	8.294049	FALSE	3.4	"good"	9.268593	1.609438	11	33.01163	"male"	FALSE	FALSE
4	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	10.32991	"male"	TRUE	FALSE
2	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	11.32991	"male"	TRUE	FALSE
5	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	12.32991	"male"	TRUE	FALSE
3	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	5.691992	"female"	TRUE	FALSE
1	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	6.691992	"female"	TRUE	FALSE
1	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	7.691992	"female"	TRUE	FALSE
1	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	7.540041	"male"	TRUE	FALSE
2	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	8.540041	"male"	TRUE	FALSE
3	3.258096	FALSE	6.981507	8.294049	FALSE	11.84267	"good"	9.268593	1.609438	12	9.540041	"male"	TRUE	FALSE
0	3.258096	FALSE	6.981507	8.294049	TRUE	10.3	"good"	9.268593	1.609438	12	29.10335	"female"	FALSE	FALSE
0	3.258096	FALSE	6.981507	8.294049	TRUE	10.3	"good"	9.268593	1.609438	12	30.10335	"female"	FALSE	FALSE
2	3.258096	FALSE	6.981507	8.294049	TRUE	10.3	"good"	9.268593	1.609438	12	31.10335	"female"	FALSE	FALSE
10	0	FALSE	0	0	TRUE	6.9	"excellent"	8.347674	0	8	58.09446	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	6.9	"excellent"	8.347674	0	8	59.09446	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	6.9	"excellent"	8.347674	0	8	60.09446	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.399418	0	14	25.4319	"male"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.399418	0	14	26.4319	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.399418	0.6931472	14	27.4319	"male"	FALSE	FALSE
0	3.258096	FALSE	6.031646	7.417941	FALSE	17.2	"fair"	5.411083	1.609438	12	37.48939	"female"	FALSE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	17.2	"fair"	5.411083	1.609438	12	38.48939	"female"	FALSE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	17.2	"fair"	5.411083	1.609438	12	39.48939	"female"	FALSE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	11.84267	"fair"	5.411083	1.609438	12	2.069815	"male"	TRUE	TRUE
2	3.258096	FALSE	6.031646	7.417941	FALSE	11.84267	"fair"	5.411083	1.609438	12	3.069815	"male"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	11.84267	"fair"	5.411083	1.609438	12	4.069815	"male"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	0	"fair"	5.411083	1.609438	12	14.22313	"male"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	0	"fair"	5.411083	1.609438	12	15.22313	"male"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	0	"fair"	5.411083	1.609438	12	16.22313	"male"	TRUE	TRUE
2	3.258096	FALSE	6.031646	7.417941	FALSE	0	"fair"	5.411083	1.609438	12	15.85216	"female"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	0	"fair"	5.411083	1.609438	12	16.85216	"female"	TRUE	TRUE
3	3.258096	FALSE	6.031646	7.417941	FALSE	0	"fair"	5.411083	1.609438	12	17.85216	"female"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	11.84267	"fair"	5.411083	1.609438	12	4.372348	"female"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	11.84267	"fair"	5.411083	1.609438	12	5.372348	"female"	TRUE	TRUE
0	3.258096	FALSE	6.031646	7.417941	FALSE	11.84267	"fair"	5.411083	1.609438	12	6.372348	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	9.15733	0	12	59.85216	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"fair"	9.15733	0	12	60.85216	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"fair"	9.15733	0	12	61.85216	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.845142	0.6931472	12	53.89185	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	8.845142	0.6931472	12	54.89185	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	8.845142	0.6931472	12	55.89185	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	34.5	"good"	8.845142	0.6931472	8	52.29843	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	34.5	"good"	8.845142	0.6931472	8	53.29843	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	34.5	"good"	8.845142	0.6931472	8	54.29843	"female"	FALSE	FALSE
5	4.564348	FALSE	6.703188	6.754481	FALSE	6.9	"excellent"	9.469619	1.098612	14	29.13347	"male"	FALSE	FALSE
2	4.564348	FALSE	6.703188	6.754481	FALSE	6.9	"excellent"	9.469619	1.386294	14	30.13347	"male"	FALSE	FALSE
2	4.564348	FALSE	6.703188	6.754481	FALSE	6.9	"excellent"	9.469619	1.386294	14	31.13347	"male"	FALSE	FALSE
3	4.564348	FALSE	6.703188	6.754481	FALSE	11.84267	"excellent"	9.469619	1.098612	17	2.078029	"male"	TRUE	FALSE
0	4.564348	FALSE	6.703188	6.754481	FALSE	11.84267	"excellent"	9.469619	1.386294	17	3.078029	"male"	TRUE	FALSE
2	4.564348	FALSE	6.703188	6.754481	FALSE	11.84267	"excellent"	9.469619	1.386294	17	4.078029	"male"	TRUE	FALSE
2	4.564348	FALSE	6.703188	6.754481	FALSE	6.9	"excellent"	9.469619	1.098612	17	28.282	"female"	FALSE	FALSE
1	4.564348	FALSE	6.703188	6.754481	FALSE	6.9	"excellent"	9.469619	1.386294	17	29.282	"female"	FALSE	FALSE
3	4.564348	FALSE	6.703188	6.754481	FALSE	6.9	"excellent"	9.469619	1.386294	17	30.282	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"fair"	9.383564	1.386294	12	7.720739	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"fair"	9.383564	1.386294	12	8.720739	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"fair"	9.383564	1.386294	12	9.720739	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.383564	1.386294	12	42.13826	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.383564	1.386294	12	43.13826	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.383564	1.386294	12	44.13826	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.383564	1.386294	12	41.56057	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.383564	1.386294	12	42.56057	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.383564	1.386294	12	43.56057	"female"	FALSE	FALSE
45	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.383564	1.386294	12	15.25804	"female"	TRUE	FALSE
37	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.383564	1.386294	12	16.25804	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.383564	1.386294	12	17.25804	"female"	TRUE	FALSE
1	4.564348	FALSE	5.298317	5.349611	FALSE	6.9	"good"	8.124207	0.6931472	10	14.36277	"male"	TRUE	FALSE
0	4.564348	FALSE	5.298317	5.349611	FALSE	6.9	"good"	8.124207	0.6931472	10	15.36277	"male"	TRUE	FALSE
0	4.564348	FALSE	5.298317	5.349611	FALSE	6.9	"good"	8.124207	0.6931472	10	16.36276	"male"	TRUE	FALSE
4	4.564348	FALSE	5.298317	5.349611	TRUE	17.2	"good"	8.124207	0.6931472	10	34.39836	"female"	FALSE	FALSE
2	4.564348	FALSE	5.298317	5.349611	TRUE	17.2	"good"	8.124207	0.6931472	10	35.39836	"female"	FALSE	FALSE
4	4.564348	FALSE	5.298317	5.349611	TRUE	17.2	"good"	8.124207	0.6931472	10	36.39836	"female"	FALSE	FALSE
4	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"good"	8.763109	0	14	29.05955	"male"	FALSE	FALSE
7	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"good"	8.763109	0	14	30.05955	"male"	FALSE	FALSE
7	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"good"	8.763109	0	14	31.05955	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.585285	0	12	22.2642	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.585285	0	12	23.2642	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.585285	0	12	24.2642	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.832727	0	12	22.12183	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.832727	0	12	23.12183	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.832727	0	12	24.12183	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	0	"excellent"	8.524055	0	12	24.43258	"male"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	FALSE	0	"excellent"	8.524055	0	12	25.43258	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	FALSE	0	"excellent"	8.524055	0	12	26.43258	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	3.4	"excellent"	8.245563	0	12	33.50034	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"excellent"	8.245563	0	12	34.50034	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"excellent"	8.245563	0	12	35.50034	"male"	FALSE	FALSE
4	0	FALSE	6.120297	0	FALSE	10.3	"excellent"	9.306274	1.386294	12	30.47228	"female"	FALSE	FALSE
3	0	FALSE	6.120297	0	FALSE	10.3	"excellent"	9.306274	1.386294	12	31.47228	"female"	FALSE	FALSE
2	0	FALSE	6.120297	0	FALSE	10.3	"excellent"	9.306274	1.386294	12	32.47228	"female"	FALSE	FALSE
4	0	FALSE	6.120297	0	FALSE	11.84267	"excellent"	9.306274	1.386294	12	5.240246	"female"	TRUE	FALSE
1	0	FALSE	6.120297	0	FALSE	11.84267	"excellent"	9.306274	1.386294	12	6.240246	"female"	TRUE	FALSE
2	0	FALSE	6.120297	0	FALSE	11.84267	"excellent"	9.306274	1.386294	12	7.240246	"female"	TRUE	FALSE
2	0	FALSE	6.120297	0	FALSE	11.84267	"excellent"	9.306274	1.386294	12	8.876112	"male"	TRUE	FALSE
5	0	FALSE	6.120297	0	FALSE	11.84267	"excellent"	9.306274	1.386294	12	9.876112	"male"	TRUE	FALSE
2	0	FALSE	6.120297	0	FALSE	11.84267	"excellent"	9.306274	1.386294	12	10.87611	"male"	TRUE	FALSE
1	0	FALSE	6.120297	0	FALSE	10.3	"excellent"	9.306274	1.386294	16	31.64408	"male"	FALSE	FALSE
2	0	FALSE	6.120297	0	FALSE	10.3	"excellent"	9.306274	1.386294	16	32.64408	"male"	FALSE	FALSE
1	0	FALSE	6.120297	0	FALSE	10.3	"excellent"	9.306274	1.386294	16	33.64408	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.025649	1.386294	12	32.01643	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.025649	1.386294	12	33.01643	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	9.025649	1.386294	12	34.01643	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.025649	1.386294	15	30.41205	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.025649	1.386294	15	31.41205	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.025649	1.386294	15	32.41205	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.025649	1.386294	12	3.140315	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.025649	1.386294	12	4.140315	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.025649	1.386294	12	5.140315	"male"	TRUE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"good"	9.255038	0.6931472	12	60.88433	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"good"	9.255038	0.6931472	12	61.88433	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"good"	9.255038	0.6931472	12	62.88433	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.255038	0.6931472	7	58.45585	"male"	FALSE	FALSE
10	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.255038	0.6931472	7	59.45585	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.255038	0.6931472	7	60.45585	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.584628	0	12	27.73443	"male"	FALSE	TRUE
3	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.584628	0	12	28.73443	"male"	FALSE	TRUE
4	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.584628	0	12	29.73443	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.584628	0	12	30.73443	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.584628	0	12	31.73443	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.671367	TRUE	20.7	"excellent"	7.382041	0	12	54.76797	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.671367	TRUE	20.7	"excellent"	7.382041	0	12	55.76797	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.671367	TRUE	20.7	"excellent"	7.382041	0	12	56.76797	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.671367	TRUE	20.7	"excellent"	7.382041	0	12	57.76797	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.671367	TRUE	20.7	"excellent"	7.382041	0	12	58.76797	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	TRUE	24.1	"good"	9.24672	0	12	61.31964	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	24.1	"good"	9.24672	0	12	62.31964	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	TRUE	24.1	"good"	9.24672	0	12	63.31964	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.384452	1.098612	9	51.0089	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.384452	1.098612	9	52.0089	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.384452	1.098612	9	53.0089	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.384452	1.098612	12	16.70363	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.384452	1.098612	12	17.70363	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.384452	1.098612	12	18.70363	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.384452	1.098612	12	45.77687	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.384452	1.098612	12	46.77687	"female"	FALSE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.384452	1.098612	12	47.77687	"female"	FALSE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	8.123203	"male"	TRUE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	9.123203	"male"	TRUE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	10.1232	"male"	TRUE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	3.4	"good"	9.004546	1.609438	17	37.45927	"male"	FALSE	FALSE
21	3.258096	FALSE	6.395262	7.774856	FALSE	3.4	"good"	9.004546	1.609438	17	38.45927	"male"	FALSE	FALSE
6	3.258096	FALSE	6.395262	7.774856	FALSE	3.4	"good"	9.004546	1.609438	17	39.45927	"male"	FALSE	FALSE
4	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	12.52293	"male"	TRUE	FALSE
3	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	13.52293	"male"	TRUE	FALSE
5	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	14.52293	"male"	TRUE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	9.946612	"female"	TRUE	FALSE
1	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	10.94661	"female"	TRUE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	11.84267	"excellent"	9.004546	1.609438	12	11.94661	"female"	TRUE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	3.4	"good"	9.004546	1.609438	12	36.85421	"female"	FALSE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	3.4	"good"	9.004546	1.609438	12	37.85421	"female"	FALSE	FALSE
0	3.258096	FALSE	6.395262	7.774856	FALSE	3.4	"good"	9.004546	1.609438	12	38.85421	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"fair"	7.06819	0	11	26.98152	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"fair"	7.06819	0	11	27.98152	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"fair"	7.06819	0	11	28.98152	"male"	FALSE	FALSE
5	0	FALSE	5.871329	0	FALSE	6.9	"good"	9.644014	1.098612	18	38.26694	"male"	FALSE	FALSE
5	0	FALSE	5.871329	0	FALSE	6.9	"good"	9.644014	1.386294	18	39.26694	"male"	FALSE	FALSE
4	0	FALSE	5.871329	0	FALSE	6.9	"good"	9.644014	1.386294	18	40.26694	"male"	FALSE	FALSE
5	0	FALSE	5.871329	0	TRUE	10.3	"good"	9.644014	1.098612	16	31.33744	"female"	FALSE	FALSE
14	0	FALSE	5.871329	0	TRUE	10.3	"good"	9.644014	1.386294	16	32.33744	"female"	FALSE	FALSE
6	0	FALSE	5.871329	0	TRUE	10.3	"good"	9.644014	1.386294	16	33.33744	"female"	FALSE	FALSE
0	4.564348	TRUE	5.743003	5.755076	FALSE	0	"fair"	9.18982	0.6931472	13	28.69268	"male"	FALSE	FALSE
0	4.564348	TRUE	5.743003	5.755076	FALSE	0	"fair"	9.18982	1.098612	13	29.69268	"male"	FALSE	FALSE
0	4.564348	TRUE	5.743003	5.755076	FALSE	0	"fair"	9.18982	1.098612	13	30.69268	"male"	FALSE	FALSE
4	4.564348	TRUE	5.743003	5.755076	FALSE	10.3	"fair"	9.18982	0.6931472	12	23.14579	"female"	FALSE	FALSE
2	4.564348	TRUE	5.743003	5.755076	FALSE	10.3	"fair"	9.18982	1.098612	12	24.14579	"female"	FALSE	FALSE
0	4.564348	TRUE	5.743003	5.755076	FALSE	10.3	"fair"	9.18982	1.098612	12	25.14579	"female"	FALSE	FALSE
3	0	FALSE	5.805978	0	FALSE	10.3	"excellent"	9.364644	1.098612	16	29.50856	"female"	FALSE	FALSE
34	0	FALSE	5.805978	0	FALSE	10.3	"excellent"	9.364644	1.098612	16	30.50856	"female"	FALSE	FALSE
18	0	FALSE	5.805978	0	FALSE	10.3	"excellent"	9.364644	1.098612	16	31.50856	"female"	FALSE	FALSE
0	0	FALSE	5.805978	0	FALSE	17.2	"excellent"	9.364644	1.098612	22	33.0267	"male"	FALSE	FALSE
1	0	FALSE	5.805978	0	FALSE	17.2	"excellent"	9.364644	1.098612	22	34.0267	"male"	FALSE	FALSE
3	0	FALSE	5.805978	0	FALSE	17.2	"excellent"	9.364644	1.098612	22	35.0267	"male"	FALSE	FALSE
7	0	FALSE	5.805978	0	FALSE	11.84267	"excellent"	9.364644	1.098612	16	1.026694	"female"	TRUE	FALSE
1	0	FALSE	5.805978	0	FALSE	11.84267	"excellent"	9.364644	1.098612	16	2.026694	"female"	TRUE	FALSE
2	0	FALSE	5.805978	0	FALSE	11.84267	"excellent"	9.364644	1.098612	16	3.026694	"female"	TRUE	FALSE
0	0	FALSE	5.506307	0	FALSE	13.8	"good"	9.275651	1.098612	12	20.26557	"male"	FALSE	FALSE
1	0	FALSE	5.506307	0	FALSE	13.8	"good"	9.275651	1.098612	12	21.26557	"male"	FALSE	FALSE
1	0	FALSE	5.506307	0	FALSE	13.8	"good"	9.275651	1.098612	12	22.26557	"male"	FALSE	FALSE
7	0	FALSE	5.506307	0	FALSE	3.4	"good"	9.275651	1.098612	12	46.47502	"male"	FALSE	FALSE
4	0	FALSE	5.506307	0	FALSE	3.4	"good"	9.275651	1.098612	12	47.47502	"male"	FALSE	FALSE
2	0	FALSE	5.506307	0	FALSE	3.4	"good"	9.275651	1.098612	12	48.47502	"male"	FALSE	FALSE
0	0	FALSE	5.506307	0	FALSE	17.2	"good"	9.275651	1.098612	12	45.82341	"female"	FALSE	FALSE
1	0	FALSE	5.506307	0	FALSE	17.2	"good"	9.275651	1.098612	12	46.82341	"female"	FALSE	FALSE
3	0	FALSE	5.506307	0	FALSE	17.2	"good"	9.275651	1.098612	12	47.82341	"female"	FALSE	FALSE
8	3.258096	FALSE	0	7.968458	FALSE	10.3	"fair"	9.199651	1.609438	12	28.27652	"female"	FALSE	FALSE
10	3.258096	FALSE	0	7.968458	FALSE	10.3	"fair"	9.199651	1.609438	12	29.27652	"female"	FALSE	FALSE
12	3.258096	FALSE	0	7.968458	FALSE	10.3	"fair"	9.199651	1.609438	12	30.27652	"female"	FALSE	FALSE
0	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	6.75154	"male"	TRUE	FALSE
3	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	7.75154	"male"	TRUE	FALSE
2	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	8.75154	"male"	TRUE	FALSE
8	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	9.377139	"male"	TRUE	FALSE
6	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	10.37714	"male"	TRUE	FALSE
7	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	11.37714	"male"	TRUE	FALSE
11	3.258096	FALSE	0	7.968458	TRUE	10.3	"fair"	9.199651	1.609438	12	31.66324	"male"	FALSE	FALSE
2	3.258096	FALSE	0	7.968458	TRUE	10.3	"fair"	9.199651	1.609438	12	32.66325	"male"	FALSE	FALSE
7	3.258096	FALSE	0	7.968458	TRUE	10.3	"fair"	9.199651	1.609438	12	33.66325	"male"	FALSE	FALSE
6	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	8.394251	"female"	TRUE	FALSE
3	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	9.394251	"female"	TRUE	FALSE
6	3.258096	FALSE	0	7.968458	FALSE	11.84267	"good"	9.199651	1.609438	12	10.39425	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	9	47.05818	"male"	FALSE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	9	48.05818	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	9	49.05818	"male"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.067237	1.386294	8	46.61739	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.067237	1.386294	8	47.61739	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.067237	1.386294	8	48.61739	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	8	12.96646	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	8	13.96646	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	8	14.96646	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	0	"excellent"	9.067237	1.386294	8	14.17933	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	0	"excellent"	9.067237	1.386294	8	15.17933	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	0	"excellent"	9.067237	1.386294	8	16.17933	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	7.986601	0	12	36.69815	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.986601	0	12	37.69815	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	6.9	"excellent"	7.986601	0	12	38.69815	"male"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	17.2	"fair"	9.067237	0.6931472	11	20.61875	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	17.2	"fair"	9.067237	0.6931472	11	21.61875	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	17.2	"fair"	9.067237	0.6931472	11	22.61875	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	17.2	"fair"	9.067237	0.6931472	11	23.61875	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	17.2	"fair"	9.067237	0.6931472	11	24.61875	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	0.6931472	11	3.18412	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	0.6931472	11	4.184121	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	0.6931472	11	5.184121	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	0.6931472	11	6.184121	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	0.6931472	11	7.184121	"female"	TRUE	FALSE
10	3.258096	FALSE	6.243779	7.630073	FALSE	10.3	"excellent"	7.704365	1.098612	12	22.53799	"female"	FALSE	FALSE
7	3.258096	FALSE	6.243779	7.630073	FALSE	10.3	"excellent"	7.704365	1.098612	12	23.53799	"female"	FALSE	FALSE
7	3.258096	FALSE	6.243779	7.630073	FALSE	10.3	"excellent"	7.704365	1.098612	12	24.53799	"female"	FALSE	FALSE
3	3.258096	FALSE	6.243779	7.630073	FALSE	11.84267	"fair"	7.704365	1.098612	12	2.069815	"female"	TRUE	FALSE
0	3.258096	FALSE	6.243779	7.630073	FALSE	11.84267	"fair"	7.704365	1.098612	12	3.069815	"female"	TRUE	FALSE
1	3.258096	FALSE	6.243779	7.630073	FALSE	11.84267	"fair"	7.704365	1.098612	12	4.069815	"female"	TRUE	FALSE
3	3.258096	FALSE	6.243779	7.630073	FALSE	11.84267	"excellent"	7.704365	1.098612	12	3.627652	"male"	TRUE	FALSE
3	3.258096	FALSE	6.243779	7.630073	FALSE	11.84267	"excellent"	7.704365	1.098612	12	4.627652	"male"	TRUE	FALSE
1	3.258096	FALSE	6.243779	7.630073	FALSE	11.84267	"excellent"	7.704365	1.098612	12	5.627652	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.868717	0	14	22.39836	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.868717	0	14	23.39836	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.868717	0	14	24.39836	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.868717	0	14	25.39836	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.868717	0	14	26.39836	"male"	FALSE	FALSE
19	4.564348	TRUE	6.215408	5.755076	TRUE	31	"excellent"	8.499884	0.6931472	12	53.57426	"female"	FALSE	FALSE
19	4.564348	TRUE	6.215408	5.755076	TRUE	31	"excellent"	8.499884	0	12	54.57426	"female"	FALSE	FALSE
12	4.564348	TRUE	6.215408	5.755076	TRUE	31	"excellent"	8.499884	0	12	55.57426	"female"	FALSE	FALSE
2	4.564348	TRUE	6.215408	5.755076	FALSE	3.4	"excellent"	8.499884	0.6931472	11	18.2642	"female"	FALSE	FALSE
5	0	FALSE	3.871201	0	TRUE	10.3	"excellent"	9.067237	1.386294	12	16.58864	"female"	TRUE	FALSE
0	0	FALSE	3.871201	0	TRUE	10.3	"excellent"	9.067237	1.386294	12	17.58864	"female"	TRUE	FALSE
0	0	FALSE	3.871201	0	TRUE	10.3	"excellent"	9.067237	1.386294	12	18.58864	"female"	FALSE	FALSE
0	0	FALSE	3.871201	0	TRUE	13.8	"excellent"	9.067237	1.386294	12	19.38946	"male"	FALSE	FALSE
0	0	FALSE	3.871201	0	TRUE	13.8	"excellent"	9.067237	1.386294	12	20.38946	"male"	FALSE	FALSE
0	0	FALSE	3.871201	0	TRUE	13.8	"excellent"	9.067237	1.386294	12	21.38946	"male"	FALSE	FALSE
0	0	FALSE	3.871201	0	FALSE	3.4	"excellent"	9.067237	1.386294	12	20.34771	"male"	FALSE	FALSE
0	0	FALSE	3.871201	0	FALSE	3.4	"excellent"	9.067237	1.386294	12	21.34771	"male"	FALSE	FALSE
0	0	FALSE	3.871201	0	FALSE	3.4	"excellent"	9.067237	1.386294	12	22.34771	"male"	FALSE	FALSE
0	0	FALSE	3.871201	0	FALSE	17.2	"excellent"	9.067237	1.386294	12	39.69336	"female"	FALSE	FALSE
0	0	FALSE	3.871201	0	FALSE	17.2	"excellent"	9.067237	1.386294	12	40.69336	"female"	FALSE	FALSE
0	0	FALSE	3.871201	0	FALSE	17.2	"excellent"	9.067237	1.386294	12	41.69336	"female"	FALSE	FALSE
9	3.258096	FALSE	6.291291	7.677586	FALSE	17.2	"excellent"	8.880753	1.098612	14	37.80424	"female"	FALSE	FALSE
12	3.258096	FALSE	6.291291	7.677586	FALSE	17.2	"excellent"	8.880753	1.098612	14	38.80424	"female"	FALSE	FALSE
10	3.258096	FALSE	6.291291	7.677586	FALSE	17.2	"excellent"	8.880753	0	14	39.80424	"female"	FALSE	FALSE
1	3.258096	FALSE	6.291291	7.677586	FALSE	10.3	"excellent"	8.880753	1.098612	14	15.55099	"male"	TRUE	FALSE
5	3.258096	FALSE	6.291291	7.677586	FALSE	10.3	"excellent"	8.880753	1.098612	14	16.55099	"male"	TRUE	FALSE
1	3.258096	FALSE	6.291291	7.677586	FALSE	11.84267	"excellent"	8.880753	1.098612	14	12.75291	"male"	TRUE	FALSE
3	3.258096	FALSE	6.291291	7.677586	FALSE	11.84267	"excellent"	8.880753	1.098612	14	13.75291	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.165401	1.791759	12	8.506502	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.165401	1.791759	12	9.506502	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.165401	1.791759	12	10.5065	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"fair"	8.165401	1.791759	12	9.338809	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"fair"	8.165401	1.791759	12	10.33881	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"fair"	8.165401	1.791759	12	11.33881	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"fair"	8.165401	1.791759	12	4.982888	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"fair"	8.165401	1.791759	12	5.982888	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"fair"	8.165401	1.791759	12	6.982888	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	27.6	"good"	8.165401	1.791759	12	27.69336	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	27.6	"good"	8.165401	1.791759	12	28.69336	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	27.6	"good"	8.165401	1.791759	12	29.69336	"female"	FALSE	FALSE
14	0	FALSE	0	0	TRUE	11.84267	"fair"	8.165401	1.791759	12	7.438741	"male"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	11.84267	"fair"	8.165401	1.791759	12	8.438741	"male"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	11.84267	"fair"	8.165401	1.791759	12	9.438741	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.165401	1.791759	12	5.927447	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.165401	1.791759	12	6.927447	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.165401	1.791759	12	7.927447	"female"	TRUE	FALSE
4	3.258096	FALSE	5.768321	7.154615	FALSE	20.7	"good"	7.652817	0.6931472	14	26.26147	"female"	FALSE	FALSE
4	3.258096	FALSE	5.768321	7.154615	FALSE	20.7	"good"	7.652817	0.6931472	14	27.26147	"female"	FALSE	FALSE
7	3.258096	FALSE	5.768321	7.154615	FALSE	20.7	"good"	7.652817	0.6931472	14	28.26147	"female"	FALSE	FALSE
3	3.258096	FALSE	5.768321	7.154615	FALSE	11.84267	"excellent"	7.652817	0.6931472	14	6.091718	"male"	TRUE	FALSE
3	3.258096	FALSE	5.768321	7.154615	FALSE	11.84267	"excellent"	7.652817	0.6931472	14	7.091718	"male"	TRUE	FALSE
0	3.258096	FALSE	5.768321	7.154615	FALSE	11.84267	"excellent"	7.652817	0.6931472	14	8.091718	"male"	TRUE	FALSE
6	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	10.81177	"female"	TRUE	FALSE
7	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	11.81177	"female"	TRUE	FALSE
4	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	12.81177	"female"	TRUE	FALSE
3	3.258096	FALSE	6.659294	8.045588	FALSE	17.2	"good"	9.276199	1.609438	10	31.70431	"female"	FALSE	FALSE
0	3.258096	FALSE	6.659294	8.045588	FALSE	17.2	"good"	9.276199	1.609438	10	32.70431	"female"	FALSE	FALSE
3	3.258096	FALSE	6.659294	8.045588	FALSE	17.2	"good"	9.276199	1.609438	10	33.70431	"female"	FALSE	FALSE
1	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	12.67351	"male"	TRUE	FALSE
4	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	13.67351	"male"	TRUE	FALSE
1	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	14.67351	"male"	TRUE	FALSE
3	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	1.50308	"male"	TRUE	FALSE
5	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	2.50308	"male"	TRUE	FALSE
3	3.258096	FALSE	6.659294	8.045588	FALSE	11.84267	"excellent"	9.276199	1.609438	10	3.50308	"male"	TRUE	FALSE
6	3.258096	FALSE	6.659294	8.045588	FALSE	0	"excellent"	9.276199	1.609438	16	29.03217	"male"	FALSE	FALSE
0	3.258096	FALSE	6.659294	8.045588	FALSE	0	"excellent"	9.276199	1.609438	16	30.03217	"male"	FALSE	FALSE
0	3.258096	FALSE	6.659294	8.045588	FALSE	0	"excellent"	9.276199	1.609438	16	31.03217	"male"	FALSE	FALSE
5	0	FALSE	4.736198	0	FALSE	6.9	"excellent"	10.28324	1.098612	14	34.95688	"female"	FALSE	FALSE
8	0	FALSE	4.736198	0	FALSE	6.9	"excellent"	10.28324	1.098612	14	35.95688	"female"	FALSE	FALSE
7	0	FALSE	4.736198	0	FALSE	6.9	"excellent"	10.28324	1.098612	14	36.95688	"female"	FALSE	FALSE
4	0	FALSE	4.736198	0	FALSE	11.84267	"good"	10.28324	1.098612	14	10.93224	"male"	TRUE	FALSE
1	0	FALSE	4.736198	0	FALSE	11.84267	"good"	10.28324	1.098612	14	11.93224	"male"	TRUE	FALSE
4	0	FALSE	4.736198	0	FALSE	11.84267	"good"	10.28324	1.098612	14	12.93224	"male"	TRUE	FALSE
2	0	FALSE	4.736198	0	FALSE	11.84267	"good"	10.28324	1.098612	14	6.220397	"female"	TRUE	FALSE
3	0	FALSE	4.736198	0	FALSE	11.84267	"good"	10.28324	1.098612	14	7.220397	"female"	TRUE	FALSE
2	0	FALSE	4.736198	0	FALSE	11.84267	"good"	10.28324	1.098612	14	8.220397	"female"	TRUE	FALSE
8	4.564348	FALSE	5.584999	3.628682	FALSE	17.2	"excellent"	8.553104	0	8	53.84531	"female"	FALSE	FALSE
2	4.564348	FALSE	5.584999	3.628682	FALSE	17.2	"excellent"	8.553104	0	8	54.84531	"female"	FALSE	FALSE
3	4.564348	FALSE	5.584999	3.628682	FALSE	17.2	"excellent"	8.553104	0	8	55.84531	"female"	FALSE	FALSE
12	4.564348	FALSE	5.675383	5.726676	TRUE	24.1	"fair"	7.44533	1.609438	5	48.85695	"female"	FALSE	TRUE
4	4.564348	FALSE	5.675383	5.726676	TRUE	24.1	"fair"	7.44533	1.609438	5	49.85695	"female"	FALSE	TRUE
15	4.564348	FALSE	5.675383	5.726676	TRUE	24.1	"fair"	7.44533	1.609438	5	50.85695	"female"	FALSE	TRUE
3	4.564348	FALSE	5.675383	5.726676	TRUE	3.4	"fair"	7.44533	1.609438	5	15.56194	"male"	TRUE	TRUE
1	4.564348	FALSE	5.675383	5.726676	TRUE	3.4	"fair"	7.44533	1.609438	5	16.56194	"male"	TRUE	TRUE
2	4.564348	FALSE	5.675383	5.726676	TRUE	3.4	"fair"	7.44533	1.609438	5	17.56194	"male"	TRUE	TRUE
0	4.564348	FALSE	5.675383	5.726676	FALSE	6.9	"fair"	7.44533	1.609438	5	17.58795	"male"	TRUE	TRUE
1	4.564348	FALSE	5.675383	5.726676	FALSE	6.9	"fair"	7.44533	1.609438	5	18.58795	"male"	FALSE	TRUE
1	4.564348	FALSE	5.675383	5.726676	FALSE	6.9	"fair"	7.44533	1.609438	5	19.58795	"male"	FALSE	TRUE
8	4.564348	FALSE	5.675383	5.726676	FALSE	0	"good"	7.44533	1.609438	5	16.67625	"male"	TRUE	TRUE
5	4.564348	FALSE	5.675383	5.726676	FALSE	0	"good"	7.44533	1.609438	5	17.67625	"male"	TRUE	TRUE
0	4.564348	FALSE	5.675383	5.726676	FALSE	0	"good"	7.44533	1.609438	5	18.67625	"male"	FALSE	TRUE
2	4.564348	FALSE	5.675383	5.726676	TRUE	6.9	"good"	7.44533	1.609438	5	17.58795	"female"	TRUE	TRUE
5	4.564348	FALSE	5.675383	5.726676	TRUE	6.9	"good"	7.44533	1.609438	5	18.58795	"female"	FALSE	TRUE
5	4.564348	FALSE	5.675383	5.726676	TRUE	6.9	"good"	7.44533	1.609438	5	19.58795	"female"	FALSE	TRUE
1	3.258096	FALSE	0	7.495542	FALSE	10.3	"fair"	8.183578	0	11	26.71869	"male"	FALSE	FALSE
1	3.258096	FALSE	0	7.495542	FALSE	10.3	"fair"	8.183578	0	11	27.71869	"male"	FALSE	FALSE
1	3.258096	FALSE	0	7.495542	FALSE	10.3	"fair"	8.183578	0	11	28.71869	"male"	FALSE	FALSE
1	3.258096	FALSE	0	7.495542	FALSE	10.3	"fair"	8.183578	0	11	29.71869	"male"	FALSE	FALSE
0	3.258096	FALSE	0	7.495542	FALSE	10.3	"fair"	8.183578	0	11	30.71869	"male"	FALSE	FALSE
19	4.564348	FALSE	4.848116	4.89941	FALSE	11.84267	"excellent"	9.067237	0.6931472	9	2.316222	"female"	TRUE	FALSE
1	4.564348	FALSE	4.848116	4.89941	FALSE	13.8	"excellent"	9.067237	0.6931472	9	22.80356	"female"	FALSE	FALSE
15	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"fair"	9.432742	0.6931472	8	55.14032	"female"	FALSE	FALSE
26	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"fair"	9.432742	0.6931472	8	56.14032	"female"	FALSE	FALSE
40	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"fair"	9.432742	0.6931472	8	57.14032	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.432742	0.6931472	12	56.41341	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.432742	0.6931472	12	57.41341	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.432742	0.6931472	12	58.41341	"male"	FALSE	FALSE
10	0	FALSE	5.301911	0	TRUE	17.2	"good"	9.191615	0	12	53.42642	"female"	FALSE	FALSE
10	0	FALSE	5.301911	0	TRUE	17.2	"good"	9.191615	0	12	54.42642	"female"	FALSE	FALSE
3	0	FALSE	5.301911	0	TRUE	17.2	"good"	9.191615	0	12	55.42642	"female"	FALSE	FALSE
3	0	FALSE	5.301911	0	TRUE	17.2	"good"	9.191615	0	12	56.42642	"female"	FALSE	FALSE
1	0	FALSE	5.301911	0	TRUE	17.2	"good"	9.191615	0	12	57.42642	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.566006	FALSE	11.84267	"excellent"	9.067237	0.6931472	12.75671	4.071184	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.566006	FALSE	11.84267	"excellent"	9.067237	0.6931472	12.75671	5.071184	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.566006	FALSE	11.84267	"excellent"	9.067237	0.6931472	12.75671	6.071184	"male"	TRUE	TRUE
2	4.564348	FALSE	5.087596	5.061929	FALSE	17.2	"good"	9.067237	0.6931472	16	57.67556	"male"	FALSE	FALSE
0	4.564348	FALSE	5.087596	5.061929	FALSE	17.2	"good"	9.067237	0.6931472	16	58.67556	"male"	FALSE	FALSE
0	4.564348	FALSE	5.087596	5.061929	FALSE	17.2	"good"	9.067237	0.6931472	16	59.67556	"male"	FALSE	FALSE
8	4.564348	FALSE	5.087596	5.061929	FALSE	13.8	"good"	9.067237	0.6931472	16	50.5024	"female"	FALSE	FALSE
0	4.564348	FALSE	5.087596	5.061929	FALSE	13.8	"good"	9.067237	0.6931472	16	51.5024	"female"	FALSE	FALSE
0	4.564348	FALSE	5.087596	5.061929	FALSE	13.8	"good"	9.067237	0.6931472	16	52.5024	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	11.84267	"excellent"	9.013512	0.6931472	12	0.9746749	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	11.84267	"excellent"	9.013512	0.6931472	12	1.974675	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	11.84267	"excellent"	9.013512	0.6931472	12	2.974675	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.013512	0.6931472	12	31.25804	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.013512	0.6931472	12	32.25804	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.013512	0.6931472	12	33.25804	"female"	FALSE	FALSE
13	3.258096	FALSE	6.907755	8.294049	FALSE	27.6	"good"	9.458149	0	13	51.0527	"female"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	27.6	"good"	9.458149	0	13	52.0527	"female"	FALSE	FALSE
15	3.258096	FALSE	6.907755	8.294049	FALSE	27.6	"good"	9.458149	0	13	53.0527	"female"	FALSE	FALSE
2	4.564348	TRUE	6.145901	5.061929	FALSE	17.2	"excellent"	9.067237	0	15	56.64339	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.575596	0	13	60.17522	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.575596	0	13	61.17522	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.575596	0	13	62.17522	"female"	FALSE	FALSE
1	0	FALSE	5.941539	0	FALSE	11.84267	"excellent"	8.642775	1.098612	17	10.41752	"female"	TRUE	FALSE
3	0	FALSE	5.941539	0	FALSE	11.84267	"excellent"	8.642775	1.098612	17	11.41752	"female"	TRUE	FALSE
2	0	FALSE	5.941539	0	FALSE	11.84267	"excellent"	8.642775	1.098612	17	12.41752	"female"	TRUE	FALSE
3	0	FALSE	5.941539	0	FALSE	11.84267	"good"	8.642775	1.098612	17	5.804244	"female"	TRUE	FALSE
7	0	FALSE	5.941539	0	FALSE	11.84267	"good"	8.642775	1.098612	17	6.804244	"female"	TRUE	FALSE
2	0	FALSE	5.941539	0	FALSE	11.84267	"good"	8.642775	1.098612	17	7.804244	"female"	TRUE	FALSE
6	0	FALSE	5.941539	0	FALSE	34.5	"excellent"	8.642775	1.098612	17	32.59959	"female"	FALSE	FALSE
7	0	FALSE	5.941539	0	FALSE	34.5	"excellent"	8.642775	1.098612	17	33.59959	"female"	FALSE	FALSE
3	0	FALSE	5.941539	0	FALSE	34.5	"excellent"	8.642775	1.098612	17	34.59959	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.2	"good"	10.01838	1.386294	16	32.56947	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"good"	10.01838	1.386294	16	33.56947	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	17.2	"good"	10.01838	1.386294	16	34.56947	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	10.01838	1.386294	16	34.56263	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	10.01838	1.386294	16	35.56263	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	10.01838	1.386294	16	36.56263	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.01838	1.386294	16	1.382615	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.01838	1.386294	16	2.382615	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.01838	1.386294	16	3.382615	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	34.5	"good"	9.273065	0	14	59.22245	"female"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	34.5	"good"	9.273065	0	14	60.22245	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	34.5	"good"	9.273065	0	14	61.22245	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	11.84267	"good"	9.339705	1.098612	14	0.9965777	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"good"	9.339705	1.098612	14	1.996578	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"good"	9.339705	1.098612	14	2.996578	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"excellent"	9.339705	1.098612	14	30.68036	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"excellent"	9.339705	1.098612	14	31.68036	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	3.4	"excellent"	9.339705	1.098612	14	32.68036	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.339705	1.098612	16	33.63176	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.339705	1.098612	16	34.63176	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.339705	1.098612	16	35.63176	"male"	FALSE	FALSE
0	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	44.86516	"female"	FALSE	FALSE
10	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	45.86516	"female"	FALSE	FALSE
4	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	46.86516	"female"	FALSE	FALSE
0	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	47.86516	"female"	FALSE	FALSE
4	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	48.86516	"female"	FALSE	FALSE
1	3.258096	FALSE	3.871201	5.257495	TRUE	10.3	"good"	8.369666	1.386294	16	44.47091	"male"	FALSE	FALSE
0	3.258096	FALSE	3.871201	5.257495	TRUE	10.3	"good"	8.369666	1.386294	16	45.47091	"male"	FALSE	FALSE
5	3.258096	FALSE	3.871201	5.257495	TRUE	10.3	"good"	8.369666	1.386294	16	46.47091	"male"	FALSE	FALSE
2	3.258096	FALSE	3.871201	5.257495	TRUE	10.3	"good"	8.369666	1.386294	16	47.47091	"male"	FALSE	FALSE
4	3.258096	FALSE	3.871201	5.257495	TRUE	10.3	"good"	8.369666	1.386294	16	48.47091	"male"	FALSE	FALSE
24	3.258096	FALSE	3.871201	5.257495	FALSE	10.3	"good"	8.369666	1.386294	16	15.72074	"male"	TRUE	FALSE
16	3.258096	FALSE	3.871201	5.257495	FALSE	10.3	"good"	8.369666	1.386294	16	16.72074	"male"	TRUE	FALSE
9	3.258096	FALSE	3.871201	5.257495	FALSE	10.3	"good"	8.369666	1.386294	16	17.72074	"male"	TRUE	FALSE
4	3.258096	FALSE	3.871201	5.257495	FALSE	10.3	"good"	8.369666	1.386294	16	18.72074	"male"	FALSE	FALSE
4	3.258096	FALSE	3.871201	5.257495	FALSE	10.3	"good"	8.369666	1.386294	16	19.72074	"male"	FALSE	FALSE
0	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	17.78782	"male"	TRUE	FALSE
1	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	18.78782	"male"	FALSE	FALSE
0	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	19.78782	"male"	FALSE	FALSE
0	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	20.78782	"male"	FALSE	FALSE
0	3.258096	FALSE	3.871201	5.257495	FALSE	3.4	"good"	8.369666	1.386294	16	21.78782	"male"	FALSE	FALSE
10	0	FALSE	5.622572	0	FALSE	13.8	"excellent"	9.554563	0.6931472	17	32.32854	"female"	FALSE	FALSE
9	0	FALSE	5.622572	0	FALSE	13.8	"excellent"	9.554563	0.6931472	17	33.32854	"female"	FALSE	FALSE
1	0	FALSE	5.622572	0	FALSE	13.8	"excellent"	9.554563	0.6931472	17	34.32854	"female"	FALSE	FALSE
2	0	FALSE	5.622572	0	FALSE	3.4	"excellent"	9.554563	0.6931472	18	30.13005	"male"	FALSE	FALSE
3	0	FALSE	5.622572	0	FALSE	3.4	"excellent"	9.554563	0.6931472	18	31.13005	"male"	FALSE	FALSE
1	0	FALSE	5.622572	0	FALSE	3.4	"excellent"	9.554563	0.6931472	18	32.13005	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	9.354692	1.386294	12	29.50308	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	9.354692	1.386294	12	30.50308	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	9.354692	1.386294	12	31.50308	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.354692	1.386294	12	5.166325	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.354692	1.386294	12	6.166325	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.354692	1.386294	12	7.166325	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.354692	1.386294	7	30.28337	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.354692	1.386294	7	31.28337	"male"	FALSE	FALSE
16	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.354692	1.386294	7	32.28337	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.354692	1.386294	12	10.53251	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.354692	1.386294	12	11.53251	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.354692	1.386294	12	12.53251	"male"	TRUE	FALSE
2	4.564348	FALSE	6.300786	6.352079	FALSE	11.84267	"excellent"	9.199532	1.098612	16	12.68994	"male"	TRUE	FALSE
1	4.564348	FALSE	6.300786	6.352079	FALSE	11.84267	"excellent"	9.199532	1.098612	16	13.94661	"male"	TRUE	FALSE
4	4.564348	FALSE	6.300786	6.352079	FALSE	17.2	"excellent"	9.199532	1.098612	16	33.31691	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	8.154839	0	12	20.82683	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	8.154839	0	12	21.82683	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	8.154839	0	12	22.82683	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.852802	0	12	35.63313	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.852802	0	12	36.63313	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.852802	0	12	37.63313	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"fair"	8.937654	1.609438	12	53.56331	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"fair"	8.937654	1.386294	12	54.56331	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"fair"	8.937654	1.098612	12	55.56331	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.937654	1.609438	11	18.5243	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	8.937654	1.609438	12	14.4011	"female"	TRUE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	8.937654	1.386294	12	15.4011	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	8.937654	1.609438	12	12.85421	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	8.937654	1.386294	12	13.85421	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	8.937654	1.098612	12	14.85421	"male"	TRUE	FALSE
8	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"fair"	8.937654	1.609438	12	50.19576	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"fair"	8.937654	1.386294	12	51.19576	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"fair"	8.937654	1.098612	12	52.19576	"female"	FALSE	FALSE
3	0	FALSE	6.351409	0	TRUE	11.84267	"excellent"	8.843535	1.386294	11	11.06639	"male"	TRUE	FALSE
3	0	FALSE	6.351409	0	TRUE	11.84267	"excellent"	8.843535	1.386294	11	12.06639	"male"	TRUE	FALSE
0	0	FALSE	6.351409	0	TRUE	11.84267	"excellent"	8.843535	1.386294	11	13.06639	"male"	TRUE	FALSE
3	0	FALSE	6.351409	0	FALSE	11.84267	"excellent"	8.843535	1.386294	11	5.782341	"female"	TRUE	FALSE
1	0	FALSE	6.351409	0	FALSE	11.84267	"excellent"	8.843535	1.386294	11	6.782341	"female"	TRUE	FALSE
0	0	FALSE	6.351409	0	FALSE	11.84267	"excellent"	8.843535	1.386294	11	7.782341	"female"	TRUE	FALSE
3	0	FALSE	6.351409	0	TRUE	10.3	"good"	8.843535	1.386294	11	32.44353	"female"	FALSE	FALSE
2	0	FALSE	6.351409	0	TRUE	10.3	"good"	8.843535	1.386294	11	33.44353	"female"	FALSE	FALSE
3	0	FALSE	6.351409	0	TRUE	10.3	"good"	8.843535	1.386294	11	34.44353	"female"	FALSE	FALSE
4	0	FALSE	3.583519	0	FALSE	17.2	"good"	8.612951	0	12	58.74059	"female"	FALSE	FALSE
3	0	FALSE	3.583519	0	FALSE	17.2	"good"	8.612951	0	12	59.74059	"female"	FALSE	FALSE
9	0	FALSE	3.583519	0	FALSE	17.2	"good"	8.612951	0	12	60.74059	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	20.7	"excellent"	8.941729	0	17	31.61123	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	20.7	"excellent"	8.941729	0	17	32.61123	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	20.7	"excellent"	8.941729	0	17	33.61123	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	10.3	"good"	8.523356	0	16	27.93977	"female"	FALSE	FALSE
11	0	FALSE	0	0	TRUE	10.3	"good"	8.523356	0	16	28.93977	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	10.3	"good"	8.523356	0	16	29.93977	"female"	FALSE	FALSE
5	3.258096	FALSE	0	5.075174	FALSE	17.2	"excellent"	7.522134	0	12	20.44353	"female"	FALSE	FALSE
6	3.258096	FALSE	0	5.075174	FALSE	17.2	"excellent"	7.522134	0	12	21.44353	"female"	FALSE	FALSE
13	3.258096	FALSE	0	5.075174	FALSE	17.2	"excellent"	7.522134	0.6931472	12	22.44353	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.619512	FALSE	3.4	"excellent"	8.618691	1.098612	12	23.83573	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.619512	FALSE	3.4	"excellent"	8.618691	1.098612	12	24.83573	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.619512	FALSE	3.4	"excellent"	8.618691	1.098612	12	25.83573	"male"	FALSE	FALSE
2	4.564348	FALSE	0	6.619512	FALSE	3.4	"good"	8.618691	1.098612	12	22.68036	"female"	FALSE	FALSE
2	4.564348	FALSE	0	6.619512	FALSE	3.4	"good"	8.618691	1.098612	12	23.68036	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.619512	FALSE	3.4	"good"	8.618691	1.098612	12	24.68036	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.619512	FALSE	11.84267	"excellent"	8.618691	1.098612	12	3.238878	"male"	TRUE	FALSE
1	4.564348	FALSE	0	6.619512	FALSE	11.84267	"excellent"	8.618691	1.098612	12	4.238877	"male"	TRUE	FALSE
1	4.564348	FALSE	0	6.619512	FALSE	11.84267	"excellent"	8.618691	1.098612	12	5.238877	"male"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	17.2	"excellent"	9.141308	0	16	25.55236	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	9.019918	1.386294	18	44.17796	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	9.019918	1.386294	18	45.17796	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	9.019918	1.386294	18	46.17796	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.019918	1.386294	14	10.90212	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.019918	1.386294	14	11.90212	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.019918	1.386294	14	12.90212	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	31	"excellent"	9.019918	1.386294	14	39.7974	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	31	"excellent"	9.019918	1.386294	14	40.7974	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	31	"excellent"	9.019918	1.386294	14	41.7974	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.019918	1.386294	14	13.36345	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.019918	1.386294	14	14.36345	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.019918	1.386294	14	15.36345	"male"	TRUE	FALSE
5	0	FALSE	5.678431	0	TRUE	27.6	"good"	8.660108	0	12	59.65777	"female"	FALSE	FALSE
2	0	FALSE	5.678431	0	TRUE	27.6	"good"	8.660108	0	12	60.65777	"female"	FALSE	FALSE
3	0	FALSE	5.678431	0	TRUE	27.6	"good"	8.660108	0	12	61.65777	"female"	FALSE	FALSE
0	4.564348	TRUE	5.831296	5.061929	TRUE	17.2	"excellent"	8.967031	0	18	32.57769	"female"	FALSE	FALSE
1	4.564348	TRUE	5.831296	5.061929	TRUE	17.2	"excellent"	8.967031	0	18	33.57769	"female"	FALSE	FALSE
0	4.564348	TRUE	5.831296	5.061929	TRUE	17.2	"excellent"	8.967031	0	18	34.57769	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	0	"excellent"	7.439489	0	14	26.88296	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	FALSE	0	"excellent"	7.439489	0	14	27.88296	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	0	"excellent"	7.439489	0	14	28.88296	"male"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.296798	1.386294	12	4.33128	"female"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.296798	1.386294	12	5.33128	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.296798	1.386294	12	6.33128	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.296798	1.386294	12	27.35387	"female"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.296798	1.386294	12	28.35387	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.296798	1.386294	12	29.35387	"female"	FALSE	FALSE
24	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"fair"	9.296798	1.386294	12	7.181383	"male"	TRUE	FALSE
39	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"fair"	9.296798	1.386294	12	8.181382	"male"	TRUE	FALSE
12	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"fair"	9.296798	1.386294	12	9.181382	"male"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.296798	1.386294	12	32.68172	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.296798	1.386294	12	33.68172	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.296798	1.386294	12	34.68172	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.067237	1.098612	11	3.110198	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	20.7	"fair"	9.067237	1.098612	11	23.80835	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	17.2	"good"	9.067237	1.098612	10	36.05202	"male"	FALSE	FALSE
2	3.258096	FALSE	6.802839	8.189134	FALSE	11.84267	"excellent"	9.335005	1.098612	9	13.54689	"female"	TRUE	FALSE
2	3.258096	FALSE	6.802839	8.189134	FALSE	11.84267	"excellent"	9.335005	1.098612	9	14.54689	"female"	TRUE	FALSE
11	3.258096	FALSE	6.802839	8.189134	FALSE	11.84267	"excellent"	9.335005	1.098612	9	15.54689	"female"	TRUE	FALSE
12	3.258096	FALSE	6.802839	8.189134	FALSE	11.84267	"excellent"	9.335005	1.098612	9	16.54689	"female"	TRUE	FALSE
5	3.258096	FALSE	6.802839	8.189134	FALSE	11.84267	"excellent"	9.335005	0.6931472	9	17.54689	"female"	TRUE	FALSE
1	3.258096	FALSE	6.802839	8.189134	TRUE	10.3	"good"	9.335005	1.098612	12	57.04038	"male"	FALSE	FALSE
4	3.258096	FALSE	6.802839	8.189134	TRUE	10.3	"good"	9.335005	1.098612	12	58.04038	"male"	FALSE	FALSE
5	3.258096	FALSE	6.802839	8.189134	TRUE	10.3	"good"	9.335005	1.098612	12	59.04038	"male"	FALSE	FALSE
29	3.258096	FALSE	6.802839	8.189134	TRUE	10.3	"good"	9.335005	1.098612	12	60.04038	"male"	FALSE	FALSE
11	3.258096	FALSE	6.802839	8.189134	TRUE	20.7	"good"	9.335005	1.098612	9	55.06639	"female"	FALSE	FALSE
3	3.258096	FALSE	6.802839	8.189134	TRUE	20.7	"good"	9.335005	1.098612	9	56.06639	"female"	FALSE	FALSE
14	3.258096	FALSE	6.802839	8.189134	TRUE	20.7	"good"	9.335005	1.098612	9	57.06639	"female"	FALSE	FALSE
5	3.258096	FALSE	6.802839	8.189134	TRUE	20.7	"good"	9.335005	1.098612	9	58.06639	"female"	FALSE	FALSE
5	3.258096	FALSE	6.802839	8.189134	TRUE	20.7	"good"	9.335005	0.6931472	9	59.06639	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	4.308296	1.609438	8	5.653662	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	4.308296	1.609438	8	6.653662	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	4.308296	1.609438	8	7.653662	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"poor"	4.308296	1.609438	8	37.29227	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"poor"	4.308296	1.609438	8	38.29227	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"poor"	4.308296	1.609438	8	39.29227	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	4.308296	1.609438	8	15.56468	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	4.308296	1.609438	8	16.56468	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	4.308296	1.609438	8	17.56468	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	4.308296	1.609438	8	17.58248	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	4.308296	1.609438	8	18.58248	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	4.308296	1.609438	8	19.58248	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	4.308296	1.609438	8	14.65298	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	4.308296	1.609438	8	15.65298	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	4.308296	1.609438	8	16.65298	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"good"	9.077677	0	12	20.81588	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	0	"good"	9.077677	0	12	21.81588	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"good"	9.077677	0	12	22.81588	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.483952	1.386294	12	36.50924	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.483952	1.386294	12	37.50924	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.483952	1.386294	12	38.50924	"female"	FALSE	FALSE
9	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"good"	9.483952	1.386294	12	17.21834	"female"	TRUE	FALSE
7	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"good"	9.483952	1.386294	12	18.21834	"female"	FALSE	FALSE
19	3.258096	FALSE	6.907755	8.294049	TRUE	27.6	"good"	9.483952	1.386294	12	19.21834	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	17.2	"excellent"	9.483952	1.386294	12	40.25188	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	17.2	"excellent"	9.483952	1.386294	12	41.25188	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	17.2	"excellent"	9.483952	1.386294	12	42.25188	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.483952	1.386294	12	15.82478	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.483952	1.386294	12	16.82478	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.483952	1.386294	12	17.82478	"male"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	13.8	"good"	8.961255	1.386294	8	37.00479	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	13.8	"good"	8.961255	1.386294	8	38.00479	"female"	FALSE	FALSE
12	0	FALSE	0	0	TRUE	13.8	"good"	8.961255	1.386294	8	39.00479	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	13.8	"good"	8.961255	1.386294	8	40.00479	"female"	FALSE	FALSE
52	0	FALSE	0	0	TRUE	13.8	"good"	8.961255	1.386294	8	41.00479	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	2.173854	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	3.173854	"female"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	4.173853	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	5.173853	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	6.173853	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	12.63518	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	13.63518	"female"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	14.63518	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	15.63518	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.961255	1.386294	8	16.63518	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.961255	1.386294	12	45.88364	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.961255	1.386294	12	46.88364	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.961255	1.386294	12	47.88364	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.961255	1.386294	12	48.88364	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	10.3	"excellent"	8.961255	1.386294	12	49.88364	"male"	FALSE	FALSE
11	0	FALSE	5.981414	0	TRUE	10.3	"good"	8.761089	0	12	59.93155	"female"	FALSE	FALSE
15	0	FALSE	5.981414	0	TRUE	10.3	"good"	8.761089	0	12	60.93155	"female"	FALSE	FALSE
13	0	FALSE	5.981414	0	TRUE	10.3	"good"	8.761089	0	12	61.93155	"female"	FALSE	FALSE
13	0	FALSE	5.981414	0	TRUE	10.3	"good"	8.761089	0	12	62.93155	"female"	FALSE	FALSE
11	0	FALSE	5.981414	0	TRUE	10.3	"good"	8.761089	0	12	63.93155	"female"	FALSE	FALSE
0	0	FALSE	5.192957	0	FALSE	3.4	"excellent"	9.453914	1.386294	12	18.62012	"male"	FALSE	FALSE
0	0	FALSE	5.192957	0	FALSE	3.4	"excellent"	9.453914	1.386294	12	19.62012	"male"	FALSE	FALSE
1	0	FALSE	5.192957	0	FALSE	3.4	"excellent"	9.453914	1.386294	12	20.62012	"male"	FALSE	FALSE
3	0	FALSE	5.192957	0	FALSE	6.9	"excellent"	9.453914	1.386294	11	55.40589	"male"	FALSE	FALSE
3	0	FALSE	5.192957	0	FALSE	6.9	"excellent"	9.453914	1.386294	11	56.40589	"male"	FALSE	FALSE
2	0	FALSE	5.192957	0	FALSE	6.9	"excellent"	9.453914	1.386294	11	57.40589	"male"	FALSE	FALSE
1	0	FALSE	5.192957	0	FALSE	0	"excellent"	9.453914	1.386294	12	14.89665	"male"	TRUE	FALSE
2	0	FALSE	5.192957	0	FALSE	0	"excellent"	9.453914	1.386294	12	15.89665	"male"	TRUE	FALSE
2	0	FALSE	5.192957	0	FALSE	0	"excellent"	9.453914	1.386294	12	16.89665	"male"	TRUE	FALSE
5	0	FALSE	5.192957	0	TRUE	13.8	"poor"	9.453914	1.386294	12	55.436	"female"	FALSE	FALSE
1	0	FALSE	5.192957	0	TRUE	13.8	"poor"	9.453914	1.386294	12	56.436	"female"	FALSE	FALSE
3	0	FALSE	5.192957	0	TRUE	13.8	"poor"	9.453914	1.386294	12	57.436	"female"	FALSE	FALSE
1	4.564348	FALSE	6.720943	6.772237	FALSE	17.2	"good"	9.227189	2.079442	11	43.00342	"female"	FALSE	FALSE
1	4.564348	FALSE	6.720943	6.772237	FALSE	17.2	"good"	9.227189	1.791759	11	44.00342	"female"	FALSE	FALSE
5	4.564348	FALSE	6.720943	6.772237	FALSE	17.2	"good"	9.227189	1.791759	11	45.00342	"female"	FALSE	FALSE
4	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"excellent"	9.227189	2.079442	11	6.962355	"female"	TRUE	FALSE
1	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"excellent"	9.227189	1.791759	11	7.962355	"female"	TRUE	FALSE
2	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"excellent"	9.227189	1.791759	11	8.962355	"female"	TRUE	FALSE
1	4.564348	FALSE	6.720943	6.772237	FALSE	13.8	"good"	9.227189	2.079442	11	15.68241	"female"	TRUE	FALSE
4	4.564348	FALSE	6.720943	6.772237	FALSE	13.8	"good"	9.227189	1.791759	11	16.68241	"female"	TRUE	FALSE
0	4.564348	FALSE	6.720943	6.772237	FALSE	13.8	"good"	9.227189	1.791759	11	17.68241	"female"	TRUE	FALSE
9	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"good"	9.227189	2.079442	11	1.002053	"male"	TRUE	FALSE
1	4.564348	FALSE	6.720943	6.772237	FALSE	10.3	"excellent"	9.227189	2.079442	13	48.25736	"male"	FALSE	FALSE
0	4.564348	FALSE	6.720943	6.772237	FALSE	10.3	"excellent"	9.227189	1.791759	13	49.25736	"male"	FALSE	FALSE
0	4.564348	FALSE	6.720943	6.772237	FALSE	10.3	"excellent"	9.227189	1.791759	13	50.25736	"male"	FALSE	FALSE
2	4.564348	FALSE	6.720943	6.772237	FALSE	10.3	"fair"	9.227189	2.079442	11	17.99863	"female"	TRUE	FALSE
4	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"fair"	9.227189	2.079442	11	8.561259	"male"	TRUE	FALSE
0	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"fair"	9.227189	1.791759	11	9.561259	"male"	TRUE	FALSE
2	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"fair"	9.227189	1.791759	11	10.56126	"male"	TRUE	FALSE
2	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"excellent"	9.227189	2.079442	11	13.26762	"male"	TRUE	FALSE
2	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"excellent"	9.227189	1.791759	11	14.26762	"male"	TRUE	FALSE
0	4.564348	FALSE	6.720943	6.772237	FALSE	11.84267	"excellent"	9.227189	1.791759	11	15.26762	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.780796	1.098612	12	30.55989	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.780796	1.098612	12	31.55989	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.780796	1.098612	12	32.55989	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.780796	1.098612	12	33.55989	"male"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.780796	1.098612	12	34.55989	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.780796	1.098612	12	8.991102	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.780796	1.098612	12	9.991102	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.780796	1.098612	12	10.9911	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.780796	1.098612	12	11.9911	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.780796	1.098612	12	12.9911	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"fair"	9.780796	1.098612	12	32.72553	"female"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"fair"	9.780796	1.098612	12	33.72553	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"fair"	9.780796	1.098612	12	34.72553	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"fair"	9.780796	1.098612	12	35.72553	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"fair"	9.780796	1.098612	12	36.72553	"female"	FALSE	FALSE
19	4.564348	TRUE	5.010635	5.061929	FALSE	31	"excellent"	8.719232	0	13	29.82615	"female"	FALSE	FALSE
32	4.564348	TRUE	5.010635	5.061929	FALSE	31	"excellent"	8.719232	0	13	30.82615	"female"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	31	"excellent"	8.719232	0	13	31.82615	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.067237	1.098612	14	28.53936	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.067237	0	14	29.53936	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.067237	0	14	30.53936	"male"	FALSE	FALSE
0	4.564348	FALSE	5.975564	6.448223	FALSE	17.2	"good"	7.915928	0	11	22.1848	"female"	FALSE	FALSE
0	4.564348	FALSE	5.975564	6.448223	FALSE	17.2	"good"	7.915928	0	11	23.1848	"female"	FALSE	FALSE
0	4.564348	FALSE	5.975564	6.448223	FALSE	17.2	"good"	7.915928	0	11	24.1848	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.439248	1.386294	12	50.35455	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.439248	1.098612	12	51.35455	"female"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.439248	1.098612	12	52.35455	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.439248	1.386294	12	52.85147	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.439248	1.098612	12	53.85147	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.439248	1.098612	12	54.85147	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.439248	1.386294	13	20.44901	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.439248	1.386294	12	16.95551	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.439248	1.098612	12	17.95551	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.439248	1.098612	12	18.95551	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.88308	1.386294	12	0.8049281	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.88308	1.386294	12	1.804928	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.88308	1.386294	12	2.804928	"male"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	11.84267	"good"	7.88308	1.386294	12	5.226557	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	11.84267	"good"	7.88308	1.386294	12	6.226557	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	11.84267	"good"	7.88308	1.386294	12	7.226557	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.88308	1.386294	12	25.54415	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.88308	1.386294	12	26.54415	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	7.88308	1.386294	12	27.54415	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	11.84267	"good"	7.88308	1.386294	12	5.226557	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	11.84267	"good"	7.88308	1.386294	12	6.226557	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	11.84267	"good"	7.88308	1.386294	12	7.226557	"male"	TRUE	TRUE
4	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	9.063173	0	14	56.11773	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	9.063173	0	14	57.11773	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	9.063173	0	14	58.11773	"female"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	9.063173	0	14	59.11773	"female"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	9.063173	0	14	60.11773	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"good"	8.830243	1.386294	12	32.53388	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"good"	8.830243	1.386294	12	33.53388	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"good"	8.830243	1.386294	12	34.53388	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.830243	1.386294	12	11.40041	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.830243	1.386294	12	12.40041	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.830243	1.386294	12	13.40041	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	8.830243	1.386294	12	8.80219	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"good"	8.830243	1.386294	12	9.80219	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"good"	8.830243	1.386294	12	10.80219	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	17.2	"good"	8.830243	1.386294	10	32.19439	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"good"	8.830243	1.386294	10	33.19439	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"good"	8.830243	1.386294	10	34.19439	"male"	FALSE	FALSE
0	3.258096	FALSE	6.146436	7.532731	FALSE	6.9	"good"	9.094215	0	12	43.04723	"male"	FALSE	FALSE
0	3.258096	FALSE	6.146436	7.532731	FALSE	6.9	"good"	9.094215	0	12	44.04723	"male"	FALSE	FALSE
1	3.258096	FALSE	6.146436	7.532731	FALSE	6.9	"good"	9.094215	0	12	45.04723	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	11.69336	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	12.69336	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	13.69336	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	14.69336	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	15.69336	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.337023	1.609438	16	44.90623	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.337023	1.609438	16	45.90623	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.337023	1.609438	16	46.90623	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.337023	1.609438	16	47.90623	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.337023	1.609438	16	48.90623	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.337023	1.609438	16	50.54073	"male"	FALSE	FALSE
9	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.337023	1.609438	16	51.54073	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.337023	1.609438	16	52.54073	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.337023	1.609438	16	53.54073	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.337023	1.609438	16	54.54073	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	9.401779	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	10.40178	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	11.40178	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	12.40178	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.337023	1.609438	16	13.40178	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.337023	1.609438	16	14.51882	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.337023	1.609438	16	15.51882	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.337023	1.609438	16	16.51882	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.337023	1.609438	16	17.51882	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.337023	1.609438	16	18.51882	"female"	FALSE	FALSE
34	3.258096	FALSE	6.282267	7.668561	TRUE	31	"fair"	8.691142	0.6931472	12	50.29979	"female"	FALSE	FALSE
13	3.258096	FALSE	6.282267	7.668561	FALSE	10.3	"fair"	8.691142	0.6931472	13	53.80151	"male"	FALSE	FALSE
2	4.564348	TRUE	6.645819	6.160541	FALSE	24.1	"good"	9.067237	1.386294	15	29.45927	"female"	FALSE	FALSE
4	4.564348	TRUE	6.645819	6.160541	FALSE	24.1	"good"	9.067237	1.386294	15	30.45927	"female"	FALSE	FALSE
1	4.564348	TRUE	6.645819	6.160541	FALSE	24.1	"good"	9.067237	1.386294	15	31.45927	"female"	FALSE	FALSE
9	4.564348	TRUE	6.645819	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	15	5.284052	"male"	TRUE	FALSE
35	4.564348	TRUE	6.645819	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	15	6.284052	"male"	TRUE	FALSE
30	4.564348	TRUE	6.645819	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	15	7.284052	"male"	TRUE	FALSE
5	4.564348	TRUE	6.645819	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	15	2.850103	"female"	TRUE	FALSE
2	4.564348	TRUE	6.645819	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	15	3.850103	"female"	TRUE	FALSE
1	4.564348	TRUE	6.645819	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	15	4.850103	"female"	TRUE	FALSE
0	4.564348	TRUE	6.645819	6.160541	FALSE	17.2	"excellent"	9.067237	1.386294	15	29.45106	"male"	FALSE	FALSE
1	4.564348	TRUE	6.645819	6.160541	FALSE	17.2	"excellent"	9.067237	1.386294	15	30.45106	"male"	FALSE	FALSE
0	4.564348	TRUE	6.645819	6.160541	FALSE	17.2	"excellent"	9.067237	1.386294	15	31.45106	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.74949	1.609438	12	39.41957	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.74949	1.609438	12	40.41957	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.74949	1.609438	12	41.41957	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.74949	1.609438	11	18.82546	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	9.74949	1.609438	11	19.82546	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.74949	1.609438	11	20.82546	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	0	"excellent"	9.74949	1.609438	11	15.34292	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	0	"excellent"	9.74949	1.609438	11	16.34292	"male"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	0	"excellent"	9.74949	1.609438	11	17.34292	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	34.5	"good"	9.74949	1.609438	11	37.38261	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	34.5	"good"	9.74949	1.609438	11	38.38261	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	34.5	"good"	9.74949	1.609438	11	39.38261	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	11.84267	"good"	7.473371	0.6931472	10	4.985626	"female"	TRUE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	11.84267	"good"	7.473371	0.6931472	10	5.985626	"female"	TRUE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	11.84267	"good"	7.473371	1.386294	10	6.985626	"female"	TRUE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	7.473371	0.6931472	10	23.72348	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	7.473371	0.6931472	10	24.72348	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	7.473371	1.386294	10	25.72348	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	9.643915	0.6931472	8	47.60575	"female"	FALSE	FALSE
11	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	9.643915	0.6931472	8	48.60575	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	9.643915	0.6931472	8	49.60575	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"fair"	9.643915	0.6931472	12	45.24572	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"fair"	9.643915	0.6931472	12	46.24572	"male"	FALSE	FALSE
6	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"fair"	9.643915	0.6931472	12	47.24572	"male"	FALSE	FALSE
4	0	FALSE	4.162003	0	FALSE	10.3	"excellent"	8.516337	0	14	53.9165	"female"	FALSE	FALSE
1	0	FALSE	4.162003	0	FALSE	10.3	"excellent"	8.516337	0	14	54.9165	"female"	FALSE	FALSE
5	0	FALSE	4.162003	0	FALSE	10.3	"excellent"	8.516337	0	14	55.9165	"female"	FALSE	FALSE
8	0	FALSE	4.162003	0	FALSE	10.3	"excellent"	8.516337	0	14	56.9165	"female"	FALSE	FALSE
6	0	FALSE	4.162003	0	FALSE	10.3	"excellent"	8.516337	0	14	57.9165	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	8.248475	0	16	24.6872	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	8.248475	0	16	25.6872	"male"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	8.248475	0	16	26.6872	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	8.248475	0	16	27.6872	"male"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	8.248475	0	16	28.6872	"male"	FALSE	FALSE
0	3.258096	FALSE	6.200509	8.248006	FALSE	6.9	"excellent"	8.611885	0.6931472	16	30.28063	"male"	FALSE	FALSE
0	3.258096	FALSE	6.200509	8.248006	FALSE	6.9	"excellent"	8.611885	0.6931472	16	31.28063	"male"	FALSE	FALSE
0	3.258096	FALSE	6.200509	8.248006	FALSE	6.9	"excellent"	8.611885	0.6931472	16	32.28063	"male"	FALSE	FALSE
3	3.258096	FALSE	6.200509	8.248006	FALSE	10.3	"excellent"	8.611885	0.6931472	17	29.45654	"female"	FALSE	FALSE
2	3.258096	FALSE	6.200509	8.248006	FALSE	10.3	"excellent"	8.611885	0.6931472	17	30.45654	"female"	FALSE	FALSE
5	3.258096	FALSE	6.200509	8.248006	FALSE	10.3	"excellent"	8.611885	0.6931472	17	31.45654	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.468215	1.386294	12	15.92882	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.468215	1.386294	12	16.92882	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.468215	1.386294	12	17.92882	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.468215	1.386294	12	37.13895	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.468215	1.386294	12	38.13895	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.468215	1.386294	12	39.13895	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.468215	1.386294	12	38.69952	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.468215	1.386294	12	39.69952	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	9.468215	1.386294	12	40.69952	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.468215	1.386294	12	17.58795	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.468215	1.386294	12	18.58795	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.468215	1.386294	12	19.58795	"male"	FALSE	FALSE
5	4.564348	FALSE	0	6.529803	TRUE	13.8	"excellent"	8.900695	1.386294	12	43.73443	"female"	FALSE	FALSE
7	4.564348	FALSE	0	6.529803	TRUE	13.8	"excellent"	8.900695	1.386294	12	44.73443	"female"	FALSE	FALSE
3	4.564348	FALSE	0	6.529803	TRUE	13.8	"excellent"	8.900695	1.386294	12	45.73443	"female"	FALSE	FALSE
4	4.564348	FALSE	0	6.529803	FALSE	17.2	"poor"	8.900695	1.386294	13	42.86927	"male"	FALSE	FALSE
1	4.564348	FALSE	0	6.529803	FALSE	17.2	"poor"	8.900695	1.386294	13	43.86927	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.529803	FALSE	17.2	"poor"	8.900695	1.386294	13	44.86927	"male"	FALSE	FALSE
6	4.564348	FALSE	0	6.529803	TRUE	11.84267	"excellent"	8.900695	1.386294	12	9.886379	"male"	TRUE	FALSE
2	4.564348	FALSE	0	6.529803	TRUE	11.84267	"excellent"	8.900695	1.386294	12	10.88638	"male"	TRUE	FALSE
3	4.564348	FALSE	0	6.529803	TRUE	11.84267	"excellent"	8.900695	1.386294	12	11.88638	"male"	TRUE	FALSE
2	4.564348	FALSE	0	6.529803	FALSE	11.84267	"excellent"	8.900695	1.386294	12	6.045175	"male"	TRUE	FALSE
1	4.564348	FALSE	0	6.529803	FALSE	11.84267	"excellent"	8.900695	1.386294	12	7.045175	"male"	TRUE	FALSE
6	4.564348	FALSE	0	6.529803	FALSE	11.84267	"excellent"	8.900695	1.386294	12	8.045175	"male"	TRUE	FALSE
1	0	FALSE	5.496512	0	FALSE	20.7	"excellent"	9.65903	0.6931472	14	28.14784	"female"	FALSE	FALSE
5	0	FALSE	5.496512	0	FALSE	20.7	"excellent"	9.65903	1.098612	14	29.14784	"female"	FALSE	FALSE
1	0	FALSE	5.496512	0	FALSE	20.7	"excellent"	9.65903	1.098612	14	30.14784	"female"	FALSE	FALSE
1	0	FALSE	5.496512	0	FALSE	6.9	"excellent"	9.65903	0.6931472	14	35.00616	"male"	FALSE	FALSE
4	0	FALSE	5.496512	0	FALSE	6.9	"excellent"	9.65903	1.098612	14	36.00616	"male"	FALSE	FALSE
6	0	FALSE	5.496512	0	FALSE	6.9	"excellent"	9.65903	1.098612	14	37.00616	"male"	FALSE	FALSE
38	0	FALSE	0	0	FALSE	3.4	"excellent"	8.800117	0	11	29.54415	"male"	FALSE	FALSE
26	0	FALSE	0	0	FALSE	3.4	"excellent"	8.800117	0	11	30.54415	"male"	FALSE	FALSE
32	0	FALSE	0	0	FALSE	3.4	"excellent"	8.800117	0	11	31.54415	"male"	FALSE	FALSE
2	4.564348	FALSE	6.703188	6.754481	FALSE	24.1	"good"	8.005527	0	10	51.38946	"female"	FALSE	FALSE
8	4.564348	FALSE	6.703188	6.754481	FALSE	24.1	"good"	8.005527	0	10	52.38946	"female"	FALSE	FALSE
10	4.564348	FALSE	6.703188	6.754481	FALSE	24.1	"good"	8.005527	0	10	53.38946	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.008931	1.609438	13	31.75633	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.008931	1.609438	13	32.75633	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.008931	1.609438	13	33.75633	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.008931	1.609438	13	34.75633	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	9.008931	1.609438	13	35.75633	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"good"	9.008931	1.609438	10	1.976728	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"good"	9.008931	1.609438	10	2.976728	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	11.84267	"good"	9.008931	1.609438	10	3.976728	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"good"	9.008931	1.609438	10	4.976728	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"good"	9.008931	1.609438	10	5.976728	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	4.720055	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	5.720055	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	6.720055	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	7.720055	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	8.720055	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	9.008931	1.609438	10	29.80972	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	9.008931	1.609438	10	30.80972	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.008931	1.609438	10	31.80972	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	9.008931	1.609438	10	32.80972	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	9.008931	1.609438	10	33.80972	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	6.160164	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	7.160164	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	8.160164	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	9.160164	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.008931	1.609438	10	10.16016	"male"	TRUE	FALSE
3	3.258096	FALSE	6.098074	7.484369	FALSE	24.1	"good"	8.49845	0	13	26.59001	"male"	FALSE	FALSE
0	3.258096	FALSE	6.098074	7.484369	FALSE	24.1	"good"	8.49845	0	13	27.59001	"male"	FALSE	FALSE
1	3.258096	FALSE	6.098074	7.484369	FALSE	24.1	"good"	8.49845	0	13	28.59001	"male"	FALSE	FALSE
3	4.564348	TRUE	5.852662	5.755076	FALSE	17.2	"good"	9.414452	0.6931472	12	61.07871	"male"	FALSE	FALSE
1	4.564348	TRUE	5.852662	5.755076	FALSE	17.2	"good"	9.414452	0.6931472	12	62.07871	"male"	FALSE	FALSE
1	4.564348	TRUE	5.852662	5.755076	FALSE	17.2	"good"	9.414452	0.6931472	12	63.07871	"male"	FALSE	FALSE
20	4.564348	TRUE	5.852662	5.755076	TRUE	27.6	"fair"	9.414452	0.6931472	12	55.13758	"female"	FALSE	FALSE
38	4.564348	TRUE	5.852662	5.755076	TRUE	27.6	"fair"	9.414452	0.6931472	12	56.13758	"female"	FALSE	FALSE
26	4.564348	TRUE	5.852662	5.755076	TRUE	27.6	"fair"	9.414452	0.6931472	12	57.13758	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"excellent"	9.186102	1.098612	14	30.64203	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"excellent"	9.186102	1.386294	14	31.64203	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"excellent"	9.186102	1.386294	14	32.64202	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	6.9	"excellent"	9.186102	1.098612	16	32.85421	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	6.9	"excellent"	9.186102	1.386294	16	33.85421	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	6.9	"excellent"	9.186102	1.386294	16	34.85421	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.186102	1.098612	16	2.819986	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.186102	1.386294	16	3.819986	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.186102	1.386294	16	4.819986	"male"	TRUE	FALSE
2	3.258096	FALSE	5.886104	7.272398	TRUE	27.6	"excellent"	8.453845	1.609438	10	25.94935	"female"	FALSE	FALSE
9	3.258096	FALSE	5.886104	7.272398	TRUE	27.6	"excellent"	8.453845	1.609438	10	26.94935	"female"	FALSE	FALSE
3	3.258096	FALSE	5.886104	7.272398	TRUE	27.6	"excellent"	8.453845	1.609438	10	27.94935	"female"	FALSE	FALSE
6	3.258096	FALSE	5.886104	7.272398	TRUE	27.6	"excellent"	8.453845	1.609438	10	28.94935	"female"	FALSE	FALSE
3	3.258096	FALSE	5.886104	7.272398	TRUE	27.6	"excellent"	8.453845	1.609438	10	29.94935	"female"	FALSE	FALSE
5	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"fair"	8.453845	1.609438	10	4.498289	"male"	TRUE	FALSE
12	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"fair"	8.453845	1.609438	10	5.498289	"male"	TRUE	FALSE
2	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"fair"	8.453845	1.609438	10	6.498289	"male"	TRUE	FALSE
2	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"fair"	8.453845	1.609438	10	7.498289	"male"	TRUE	FALSE
2	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"fair"	8.453845	1.609438	10	8.498289	"male"	TRUE	FALSE
8	3.258096	FALSE	5.886104	7.272398	TRUE	17.2	"excellent"	8.453845	1.609438	12	25.05407	"male"	FALSE	FALSE
13	3.258096	FALSE	5.886104	7.272398	TRUE	17.2	"excellent"	8.453845	1.609438	12	26.05407	"male"	FALSE	FALSE
8	3.258096	FALSE	5.886104	7.272398	TRUE	17.2	"excellent"	8.453845	1.609438	12	27.05407	"male"	FALSE	FALSE
5	3.258096	FALSE	5.886104	7.272398	TRUE	17.2	"excellent"	8.453845	1.609438	12	28.05407	"male"	FALSE	FALSE
1	3.258096	FALSE	5.886104	7.272398	TRUE	17.2	"excellent"	8.453845	1.609438	12	29.05407	"male"	FALSE	FALSE
9	3.258096	FALSE	5.886104	7.272398	FALSE	11.84267	"excellent"	8.453845	1.609438	10	1.577002	"female"	TRUE	FALSE
11	3.258096	FALSE	5.886104	7.272398	FALSE	11.84267	"excellent"	8.453845	1.609438	10	2.577002	"female"	TRUE	FALSE
5	3.258096	FALSE	5.886104	7.272398	FALSE	11.84267	"excellent"	8.453845	1.609438	10	3.577002	"female"	TRUE	FALSE
3	3.258096	FALSE	5.886104	7.272398	FALSE	11.84267	"excellent"	8.453845	1.609438	10	4.577002	"female"	TRUE	FALSE
0	3.258096	FALSE	5.886104	7.272398	FALSE	11.84267	"excellent"	8.453845	1.609438	10	5.577002	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.386294	16	8.774812	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.386294	16	9.774812	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.609438	16	10.77481	"male"	TRUE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.032743	1.386294	16	35.46886	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.032743	1.386294	16	36.46886	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.032743	1.609438	16	37.46886	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.386294	16	11.47159	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.386294	16	12.47159	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.609438	16	13.47159	"female"	TRUE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.386294	16	1.7577	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.386294	16	2.7577	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	8.032743	1.609438	16	3.7577	"female"	TRUE	FALSE
9	0	FALSE	0	0	TRUE	31	"fair"	7.832272	1.609438	11	24.91992	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	31	"fair"	7.832272	1.609438	11	25.91992	"female"	FALSE	FALSE
24	0	FALSE	0	0	TRUE	31	"fair"	7.832272	1.791759	11	26.91992	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	17.2	"fair"	7.832272	1.609438	11	34.81451	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	17.2	"fair"	7.832272	1.609438	11	35.81451	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.2	"fair"	7.832272	1.791759	11	36.81451	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.609438	11	5.672827	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.609438	11	6.672827	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.791759	11	7.672827	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.609438	11	6.694045	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.609438	11	7.694045	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.791759	11	8.694045	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.609438	11	3.085558	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.609438	11	4.085558	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	7.832272	1.791759	11	5.085558	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	24.1	"excellent"	9.067237	0	12	61.36345	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	24.1	"excellent"	9.067237	0	12	62.36345	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	24.1	"excellent"	9.067237	0	12	63.36345	"female"	FALSE	FALSE
10	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"fair"	8.52254	0	13	25.58795	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"fair"	8.52254	0.6931472	13	26.58795	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"fair"	8.52254	0.6931472	13	27.58795	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.096912	1.098612	12	23.76181	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.096912	1.386294	12	24.76181	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.096912	1.386294	12	25.76181	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.096912	1.098612	12	26.96783	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.096912	1.386294	12	27.96783	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.096912	1.386294	12	28.96783	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.096912	1.098612	12	3.359343	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.096912	1.386294	12	4.359343	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.096912	1.386294	12	5.359343	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"good"	7.945944	0	19	44	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"good"	7.945944	0	19	45	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.2	"good"	7.945944	0	19	46	"female"	FALSE	FALSE
19	3.258096	FALSE	6.148917	7.535211	TRUE	34.5	"good"	8.500838	0	12	61.26762	"female"	FALSE	FALSE
32	3.258096	FALSE	6.148917	7.535211	TRUE	34.5	"good"	8.500838	0	12	62.26762	"female"	FALSE	FALSE
27	3.258096	FALSE	6.148917	7.535211	TRUE	34.5	"good"	8.500838	0	12	63.26762	"female"	FALSE	FALSE
0	3.258096	FALSE	0	6.040255	FALSE	6.9	"good"	8.532409	0	12	22.72142	"male"	FALSE	FALSE
0	3.258096	FALSE	0	6.040255	FALSE	6.9	"good"	8.532409	0	12	23.72142	"male"	FALSE	FALSE
6	3.258096	FALSE	0	6.040255	FALSE	6.9	"good"	8.532409	0	12	24.72142	"male"	FALSE	FALSE
11	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	8.537594	0	13	52.60233	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	8.537594	0	13	53.60233	"female"	FALSE	FALSE
9	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	8.537594	0	13	54.60233	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	27.6	"good"	9.067237	2.197225	10	37.45654	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	27.6	"good"	9.067237	2.397895	10	38.45654	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	27.6	"good"	9.067237	2.397895	10	39.45654	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.197225	10	10.08624	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.397895	10	11.08624	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.397895	10	12.08624	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.067237	2.197225	10	13.5551	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.067237	2.397895	10	14.5551	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	17.2	"good"	9.067237	2.197225	10	15.9206	"female"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	17.2	"good"	9.067237	2.397895	10	16.9206	"female"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	17.2	"good"	9.067237	2.397895	10	17.9206	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.197225	10	11.24435	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.397895	10	12.24435	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.397895	10	13.24435	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	9.067237	2.197225	10	14.46407	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	9.067237	2.397895	10	15.46407	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	9.067237	2.397895	10	16.46407	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.067237	2.197225	12.75671	18.88296	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.067237	2.397895	12.75671	19.88296	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.067237	2.397895	12.75671	20.88296	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.067237	2.197225	10	3.477071	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.067237	2.397895	10	4.47707	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.067237	2.397895	10	5.47707	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.197225	10	8.317591	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.397895	10	9.317591	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"good"	9.067237	2.397895	10	10.31759	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"excellent"	9.544073	0.6931472	15	58.53525	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"excellent"	9.544073	0.6931472	15	59.53525	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"excellent"	9.544073	0.6931472	15	60.53525	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.544073	0.6931472	16	60.17796	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.544073	0.6931472	16	61.17796	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.544073	0.6931472	16	62.17796	"male"	FALSE	FALSE
38	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	3.649555	"male"	TRUE	FALSE
37	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	4.649555	"male"	TRUE	FALSE
16	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	5.649555	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	9.163587	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	10.16359	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	11.16359	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	11.29363	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	12.29363	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.404744	1.386294	12	13.29363	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.404744	1.386294	12	34.06434	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.404744	1.386294	12	35.06434	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.404744	1.386294	12	36.06434	"female"	FALSE	FALSE
3	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	9.067237	1.609438	10	10.64476	"male"	TRUE	FALSE
3	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	9.067237	1.609438	10	13.86448	"female"	TRUE	FALSE
0	3.258096	FALSE	0	8.294049	TRUE	10.3	"excellent"	9.067237	1.609438	10	36.75838	"male"	FALSE	FALSE
4	3.258096	FALSE	0	8.294049	TRUE	31	"fair"	9.067237	1.609438	10	31.4141	"female"	FALSE	FALSE
4	3.258096	FALSE	0	8.294049	FALSE	11.84267	"excellent"	9.067237	1.609438	10	12.39973	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.51988	1.098612	16	15.3128	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.51988	1.098612	16	16.3128	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	0	"excellent"	9.51988	1.098612	16	17.3128	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	9.51988	1.098612	16	18.3128	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	9.51988	0.6931472	16	19.3128	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	17.2	"fair"	9.51988	1.098612	16	52.14237	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	17.2	"fair"	9.51988	1.098612	16	53.14237	"female"	FALSE	FALSE
21	0	FALSE	0	0	TRUE	17.2	"fair"	9.51988	1.098612	16	54.14237	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.2	"fair"	9.51988	1.098612	16	55.14237	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	20.7	"good"	9.51988	1.098612	12	52.47912	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.51988	1.098612	12	53.47912	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	20.7	"good"	9.51988	1.098612	12	54.47912	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	20.7	"good"	9.51988	1.098612	12	55.47912	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	20.7	"good"	9.51988	0.6931472	12	56.47912	"male"	FALSE	FALSE
0	3.258096	FALSE	6.109248	7.495542	FALSE	3.4	"excellent"	9.067237	0	12	26.85284	"male"	FALSE	FALSE
1	3.258096	FALSE	6.109248	7.495542	FALSE	3.4	"excellent"	9.067237	0	12	27.85284	"male"	FALSE	FALSE
1	3.258096	FALSE	6.109248	7.495542	FALSE	3.4	"excellent"	9.067237	0	12	28.85284	"male"	FALSE	FALSE
2	3.258096	FALSE	6.109248	7.495542	FALSE	3.4	"excellent"	9.067237	0	12	29.85284	"male"	FALSE	FALSE
4	3.258096	FALSE	6.109248	7.495542	FALSE	3.4	"excellent"	9.067237	0	12	30.85284	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	17.2	"good"	8.73803	0	14	22.33813	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"good"	8.73803	0	14	23.33813	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"good"	8.73803	0	14	24.33813	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.114818	1.386294	13	27.07734	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.114818	1.386294	13	28.07734	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.114818	1.386294	13	29.07734	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.114818	1.386294	16	33.92745	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.114818	1.386294	16	34.92745	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.114818	1.386294	16	35.92745	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.114818	1.386294	13	5.002053	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.114818	1.386294	13	6.002053	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.114818	1.386294	13	7.002053	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.114818	1.386294	13	1.379877	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.114818	1.386294	13	2.379877	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.114818	1.386294	13	3.379877	"male"	TRUE	FALSE
8	4.564348	FALSE	6.620273	6.671566	FALSE	6.9	"excellent"	7.523402	0.6931472	12	19.62765	"female"	FALSE	FALSE
5	4.564348	FALSE	6.620273	6.671566	FALSE	6.9	"excellent"	7.523402	0.6931472	12	20.62765	"female"	FALSE	FALSE
8	4.564348	FALSE	6.620273	6.671566	FALSE	6.9	"excellent"	7.523402	0.6931472	12	21.62765	"female"	FALSE	FALSE
11	4.564348	FALSE	6.620273	6.671566	TRUE	31	"poor"	7.523402	0.6931472	12	54.39014	"female"	FALSE	FALSE
10	4.564348	FALSE	6.620273	6.671566	TRUE	31	"poor"	7.523402	0.6931472	12	55.39014	"female"	FALSE	FALSE
7	4.564348	FALSE	6.620273	6.671566	TRUE	31	"poor"	7.523402	0.6931472	12	56.39014	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.062154	1.791759	13	39.24162	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	20.7	"good"	9.062154	1.791759	13	40.24162	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.062154	1.791759	13	41.24162	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	7.991786	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	8.991786	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	9.991786	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	10.30801	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	11.30801	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	12.30801	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	13.1499	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	14.1499	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.062154	1.791759	13	15.1499	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	24.1	"good"	9.062154	1.791759	10	43.96714	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	24.1	"good"	9.062154	1.791759	10	44.96714	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	24.1	"good"	9.062154	1.791759	10	45.96714	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.062154	1.791759	13	11.45243	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"good"	9.062154	1.791759	13	12.45243	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.062154	1.791759	13	13.45243	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	8.990685	0.6931472	12	43.9425	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	8.990685	0.6931472	12	44.9425	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"good"	8.990685	0.6931472	12	45.9425	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	8.990685	0.6931472	12	46.64476	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	8.990685	0.6931472	12	47.64476	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"good"	8.990685	0.6931472	12	48.64476	"male"	FALSE	FALSE
3	0	FALSE	6.047372	0	FALSE	0	"excellent"	8.948603	1.098612	15	29.13347	"female"	FALSE	FALSE
2	0	FALSE	6.047372	0	FALSE	0	"excellent"	8.948603	1.098612	15	30.13347	"female"	FALSE	FALSE
1	0	FALSE	6.047372	0	FALSE	0	"excellent"	8.948603	1.098612	15	31.13347	"female"	FALSE	FALSE
3	0	FALSE	6.047372	0	FALSE	0	"excellent"	8.948603	1.098612	16	29.05133	"male"	FALSE	FALSE
7	0	FALSE	6.047372	0	FALSE	0	"excellent"	8.948603	1.098612	16	30.05133	"male"	FALSE	FALSE
5	0	FALSE	6.047372	0	FALSE	0	"excellent"	8.948603	1.098612	16	31.05133	"male"	FALSE	FALSE
3	0	FALSE	6.047372	0	FALSE	11.84267	"excellent"	8.948603	1.098612	15	3.909651	"male"	TRUE	FALSE
6	0	FALSE	6.047372	0	FALSE	11.84267	"excellent"	8.948603	1.098612	15	4.909651	"male"	TRUE	FALSE
3	0	FALSE	6.047372	0	FALSE	11.84267	"excellent"	8.948603	1.098612	15	5.909651	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.452916	1.386294	13	26.03148	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.452916	1.386294	13	27.03148	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.452916	1.386294	13	28.03148	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.452916	1.386294	13	1.71937	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.452916	1.386294	13	2.71937	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.452916	1.386294	13	3.71937	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.452916	1.386294	12	28.70363	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.452916	1.386294	12	29.70363	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.452916	1.386294	12	30.70363	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.452916	1.386294	13	3.720739	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.452916	1.386294	13	4.720739	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.452916	1.386294	13	5.720739	"female"	TRUE	FALSE
2	3.258096	FALSE	6.415506	7.8018	TRUE	20.7	"fair"	8.376981	0	9	48.30664	"female"	FALSE	FALSE
1	3.258096	FALSE	5.700611	7.086905	FALSE	3.4	"excellent"	8.194975	0	12	25.73853	"female"	FALSE	FALSE
0	3.258096	FALSE	5.700611	7.086905	FALSE	3.4	"excellent"	8.194975	0	12	26.73853	"female"	FALSE	FALSE
0	3.258096	FALSE	5.700611	7.086905	FALSE	3.4	"excellent"	8.194975	0	12	27.73853	"female"	FALSE	FALSE
4	4.564348	TRUE	6.228511	6.160541	FALSE	0	"fair"	9.372155	1.098612	14	21.72758	"male"	FALSE	FALSE
1	4.564348	TRUE	6.228511	6.160541	FALSE	0	"fair"	9.372155	1.098612	14	22.72758	"male"	FALSE	FALSE
0	4.564348	TRUE	6.228511	6.160541	FALSE	0	"fair"	9.372155	1.098612	14	23.72758	"male"	FALSE	FALSE
0	4.564348	TRUE	6.228511	6.160541	FALSE	0	"fair"	9.372155	1.098612	14	24.72758	"male"	FALSE	FALSE
10	4.564348	TRUE	6.228511	6.160541	FALSE	20.7	"good"	9.372155	1.098612	13	48.66804	"female"	FALSE	FALSE
5	4.564348	TRUE	6.228511	6.160541	FALSE	20.7	"good"	9.372155	1.098612	13	49.66804	"female"	FALSE	FALSE
2	4.564348	TRUE	6.228511	6.160541	FALSE	20.7	"good"	9.372155	1.098612	13	50.66804	"female"	FALSE	FALSE
3	4.564348	TRUE	6.228511	6.160541	FALSE	20.7	"good"	9.372155	1.098612	13	51.66804	"female"	FALSE	FALSE
4	4.564348	TRUE	6.228511	6.160541	FALSE	20.7	"good"	9.372155	0.6931472	13	52.66804	"female"	FALSE	FALSE
9	4.564348	TRUE	6.228511	6.160541	FALSE	6.9	"fair"	9.372155	1.098612	11	50.02875	"male"	FALSE	FALSE
1	4.564348	TRUE	6.228511	6.160541	FALSE	6.9	"fair"	9.372155	1.098612	11	51.02875	"male"	FALSE	FALSE
2	4.564348	TRUE	6.228511	6.160541	FALSE	6.9	"fair"	9.372155	1.098612	11	52.02875	"male"	FALSE	FALSE
0	4.564348	TRUE	6.228511	6.160541	FALSE	6.9	"fair"	9.372155	1.098612	11	53.02875	"male"	FALSE	FALSE
6	4.564348	TRUE	6.228511	6.160541	FALSE	6.9	"fair"	9.372155	0.6931472	11	54.02875	"male"	FALSE	FALSE
9	4.564348	TRUE	3.789177	5.061929	FALSE	17.2	"excellent"	7.833201	0	12	20.96099	"female"	FALSE	FALSE
1	4.564348	TRUE	3.789177	5.061929	FALSE	17.2	"excellent"	7.833201	0	12	21.96099	"female"	FALSE	FALSE
0	4.564348	TRUE	3.789177	5.061929	FALSE	17.2	"excellent"	7.833201	0	12	22.96099	"female"	FALSE	FALSE
5	0	FALSE	5.355642	0	FALSE	10.3	"excellent"	9.048594	0.6931472	13	28.55852	"female"	FALSE	FALSE
0	0	FALSE	5.355642	0	FALSE	10.3	"excellent"	9.048594	0.6931472	13	29.55852	"female"	FALSE	FALSE
0	0	FALSE	5.355642	0	FALSE	10.3	"excellent"	9.048594	1.098612	13	30.55852	"female"	FALSE	FALSE
1	0	FALSE	5.355642	0	FALSE	10.3	"excellent"	9.048594	1.098612	13	31.55852	"female"	FALSE	FALSE
1	0	FALSE	5.355642	0	FALSE	10.3	"excellent"	9.048594	1.386294	13	32.55852	"female"	FALSE	FALSE
0	0	FALSE	6.246107	0	FALSE	0	"excellent"	8.758512	1.609438	12	23.26078	"male"	FALSE	FALSE
1	0	FALSE	6.246107	0	FALSE	0	"excellent"	8.758512	1.609438	12	24.26078	"male"	FALSE	FALSE
8	0	FALSE	6.246107	0	FALSE	0	"excellent"	8.758512	1.609438	12	25.26078	"male"	FALSE	FALSE
5	0	FALSE	6.246107	0	FALSE	11.84267	"fair"	8.758512	1.609438	12	1.848049	"female"	TRUE	FALSE
2	0	FALSE	6.246107	0	FALSE	11.84267	"fair"	8.758512	1.609438	12	2.848049	"female"	TRUE	FALSE
4	0	FALSE	6.246107	0	FALSE	11.84267	"fair"	8.758512	1.609438	12	3.848049	"female"	TRUE	FALSE
0	0	FALSE	6.246107	0	FALSE	11.84267	"excellent"	8.758512	1.609438	12	6.324435	"male"	TRUE	FALSE
5	0	FALSE	6.246107	0	FALSE	11.84267	"excellent"	8.758512	1.609438	12	7.324435	"male"	TRUE	FALSE
3	0	FALSE	6.246107	0	FALSE	11.84267	"excellent"	8.758512	1.609438	12	8.324435	"male"	TRUE	FALSE
2	0	FALSE	6.246107	0	FALSE	10.3	"good"	8.758512	1.609438	12	22.96235	"female"	FALSE	FALSE
7	0	FALSE	6.246107	0	FALSE	10.3	"good"	8.758512	1.609438	12	23.96235	"female"	FALSE	FALSE
7	0	FALSE	6.246107	0	FALSE	10.3	"good"	8.758512	1.609438	12	24.96235	"female"	FALSE	FALSE
2	0	FALSE	5.219274	0	FALSE	10.3	"good"	9.60003	1.098612	13	20.3614	"male"	FALSE	FALSE
1	0	FALSE	5.219274	0	FALSE	10.3	"good"	9.60003	1.098612	13	21.3614	"male"	FALSE	FALSE
0	0	FALSE	5.219274	0	FALSE	10.3	"good"	9.60003	1.098612	13	22.3614	"male"	FALSE	FALSE
11	0	FALSE	5.219274	0	TRUE	17.2	"fair"	9.60003	1.098612	15	53.91924	"female"	FALSE	FALSE
2	0	FALSE	5.219274	0	TRUE	17.2	"fair"	9.60003	1.098612	15	54.91924	"female"	FALSE	FALSE
1	0	FALSE	5.219274	0	TRUE	17.2	"fair"	9.60003	1.098612	15	55.91924	"female"	FALSE	FALSE
1	0	FALSE	5.219274	0	FALSE	13.8	"fair"	9.60003	1.098612	12	52.77208	"male"	FALSE	FALSE
0	0	FALSE	5.219274	0	FALSE	13.8	"fair"	9.60003	1.098612	12	53.77208	"male"	FALSE	FALSE
5	0	FALSE	5.219274	0	FALSE	13.8	"fair"	9.60003	1.098612	12	54.77208	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.265902	FALSE	3.4	"excellent"	8.66437	1.386294	10	42.53251	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.265902	FALSE	3.4	"excellent"	8.66437	1.386294	10	43.53251	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.265902	FALSE	3.4	"excellent"	8.66437	1.386294	10	44.53251	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.265902	FALSE	11.84267	"excellent"	8.66437	1.386294	13	9.226557	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.265902	FALSE	11.84267	"excellent"	8.66437	1.386294	13	10.22656	"female"	TRUE	FALSE
4	4.564348	FALSE	0	6.265902	FALSE	11.84267	"excellent"	8.66437	1.386294	13	11.22656	"female"	TRUE	FALSE
1	4.564348	FALSE	0	6.265902	FALSE	10.3	"excellent"	8.66437	1.386294	13	34.27242	"female"	FALSE	FALSE
1	4.564348	FALSE	0	6.265902	FALSE	10.3	"excellent"	8.66437	1.386294	13	35.27242	"female"	FALSE	FALSE
5	4.564348	FALSE	0	6.265902	FALSE	10.3	"excellent"	8.66437	1.386294	13	36.27242	"female"	FALSE	FALSE
6	4.564348	FALSE	0	6.265902	FALSE	11.84267	"excellent"	8.66437	1.386294	13	12.33676	"male"	TRUE	FALSE
3	4.564348	FALSE	0	6.265902	FALSE	11.84267	"excellent"	8.66437	1.386294	13	13.33676	"male"	TRUE	FALSE
2	4.564348	FALSE	0	6.265902	FALSE	11.84267	"excellent"	8.66437	1.386294	13	14.33676	"male"	TRUE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.800205	0.6931472	12	49.02943	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.800205	0.6931472	12	50.02943	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.800205	0.6931472	12	51.02943	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.800205	0.6931472	10	53.24572	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.800205	0.6931472	10	54.24572	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.800205	0.6931472	10	55.24572	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.827876	0	14	34.8063	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.827876	0	14	35.8063	"female"	FALSE	FALSE
10	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.827876	0	14	36.8063	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.827876	0	14	37.8063	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.827876	0	14	38.8063	"female"	FALSE	FALSE
0	3.258096	FALSE	6.342209	7.728504	FALSE	3.4	"excellent"	8.899175	0.6931472	13	26.48871	"male"	FALSE	FALSE
1	3.258096	FALSE	6.342209	7.728504	FALSE	3.4	"excellent"	8.899175	0.6931472	13	27.48871	"male"	FALSE	FALSE
1	3.258096	FALSE	6.342209	7.728504	FALSE	3.4	"excellent"	8.899175	1.098612	13	28.48871	"male"	FALSE	FALSE
15	3.258096	FALSE	6.342209	7.728504	TRUE	27.6	"good"	8.899175	0.6931472	12	20.50103	"female"	FALSE	FALSE
6	3.258096	FALSE	6.342209	7.728504	TRUE	27.6	"good"	8.899175	0.6931472	12	21.50103	"female"	FALSE	FALSE
12	3.258096	FALSE	6.342209	7.728504	TRUE	27.6	"good"	8.899175	1.098612	12	22.50103	"female"	FALSE	FALSE
6	4.564348	TRUE	6.489873	6.160541	FALSE	13.8	"excellent"	8.97545	1.609438	12	29.50856	"male"	FALSE	FALSE
1	4.564348	TRUE	6.489873	6.160541	FALSE	13.8	"excellent"	8.97545	1.609438	12	30.50856	"male"	FALSE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	13.8	"excellent"	8.97545	1.609438	12	31.50856	"male"	FALSE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	11.84267	"excellent"	8.97545	1.609438	11	2.447639	"female"	TRUE	FALSE
1	4.564348	TRUE	6.489873	6.160541	FALSE	11.84267	"excellent"	8.97545	1.609438	11	3.447639	"female"	TRUE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	11.84267	"excellent"	8.97545	1.609438	11	4.447639	"female"	TRUE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	24.1	"excellent"	8.97545	1.609438	11	28.2026	"female"	FALSE	FALSE
1	4.564348	TRUE	6.489873	6.160541	FALSE	24.1	"excellent"	8.97545	1.609438	11	29.2026	"female"	FALSE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	24.1	"excellent"	8.97545	1.609438	11	30.2026	"female"	FALSE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	11.84267	"excellent"	8.97545	1.609438	11	10.04517	"male"	TRUE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	11.84267	"excellent"	8.97545	1.609438	11	11.04517	"male"	TRUE	FALSE
0	4.564348	TRUE	6.489873	6.160541	FALSE	11.84267	"excellent"	8.97545	1.609438	11	12.04517	"male"	TRUE	FALSE
20	4.564348	TRUE	6.489873	6.160541	TRUE	11.84267	"excellent"	8.97545	1.609438	11	8.021903	"female"	TRUE	FALSE
18	4.564348	TRUE	6.489873	6.160541	TRUE	11.84267	"excellent"	8.97545	1.609438	11	9.021903	"female"	TRUE	FALSE
16	4.564348	TRUE	6.489873	6.160541	TRUE	11.84267	"excellent"	8.97545	1.609438	11	10.0219	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.205738	1.386294	12	11.12115	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.205738	1.098612	12	12.12115	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.205738	1.098612	12	13.12115	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.205738	1.098612	12	14.12115	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.205738	1.098612	12	15.12115	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	6.9	"good"	9.205738	1.386294	12	35.71252	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	6.9	"good"	9.205738	1.098612	12	36.71252	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	6.9	"good"	9.205738	1.098612	12	37.71252	"female"	FALSE	FALSE
15	0	FALSE	0	0	TRUE	6.9	"good"	9.205738	1.098612	12	38.71252	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	6.9	"good"	9.205738	1.098612	12	39.71252	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	9.205738	1.386294	12	38.3217	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	9.205738	1.098612	12	39.3217	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	9.205738	1.098612	12	40.3217	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	9.205738	1.098612	12	41.3217	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	9.205738	1.098612	12	42.3217	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	9.205738	1.386294	12	15.31006	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	44.8	"fair"	8.80918	0	12	57.75496	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	44.8	"fair"	8.80918	0	12	58.75496	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	44.8	"fair"	8.80918	0	12	59.75496	"female"	FALSE	FALSE
0	3.258096	FALSE	0	8.294049	FALSE	6.9	"excellent"	8.411207	0	14	25.12252	"male"	FALSE	FALSE
0	3.258096	FALSE	0	8.294049	FALSE	6.9	"excellent"	8.411207	0	14	26.12252	"male"	FALSE	FALSE
0	3.258096	FALSE	0	8.294049	FALSE	6.9	"excellent"	8.411207	0	14	27.12252	"male"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	20.7	"good"	8.034075	1.386294	9	51.78097	"female"	FALSE	FALSE
18	0	FALSE	0	0	TRUE	20.7	"good"	8.034075	1.386294	9	52.78097	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	20.7	"good"	8.034075	1.098612	9	53.78097	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	20.7	"good"	8.034075	1.098612	9	54.78097	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	20.7	"good"	8.034075	1.098612	9	55.78097	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	11.84267	"good"	8.034075	1.386294	9	13.07871	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"good"	8.034075	1.386294	9	14.07871	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.034075	1.386294	9	15.46612	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.034075	1.386294	9	16.46612	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.034075	1.098612	9	17.46612	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	8.034075	1.098612	9	18.46612	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.034075	1.098612	9	19.46612	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	6.9	"good"	8.034075	1.386294	9	17.85079	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	6.9	"good"	8.034075	1.386294	9	18.85079	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	6.9	"good"	8.034075	1.098612	9	19.85079	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	6.9	"good"	8.034075	1.098612	9	20.85079	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	6.9	"good"	8.034075	1.098612	9	21.85079	"male"	FALSE	FALSE
0	0	FALSE	4.94876	0	TRUE	6.9	"good"	9.429591	0	19	33.59069	"male"	FALSE	FALSE
1	0	FALSE	4.94876	0	TRUE	6.9	"good"	9.429591	0	19	34.59069	"male"	FALSE	FALSE
2	0	FALSE	4.94876	0	TRUE	6.9	"good"	9.429591	0	19	35.59069	"male"	FALSE	FALSE
0	0	FALSE	4.94876	0	TRUE	6.9	"good"	9.429591	0	19	36.59069	"male"	FALSE	FALSE
1	0	FALSE	4.94876	0	TRUE	6.9	"good"	9.429591	0	19	37.59069	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.577364	1.386294	21	28.44079	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.577364	1.386294	21	29.44079	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.577364	1.609438	21	30.44079	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.577364	1.386294	16	2.67488	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.577364	1.386294	16	3.67488	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.577364	1.609438	16	4.67488	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.577364	1.386294	16	4.186174	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.577364	1.386294	16	5.186174	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	8.577364	1.609438	16	6.186174	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.577364	1.386294	16	30.32717	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.577364	1.386294	16	31.32717	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.577364	1.609438	16	32.32717	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45684	0.6931472	18	45.98768	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45684	0.6931472	18	46.98768	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45684	0.6931472	18	47.98768	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45684	0.6931472	18	48.98768	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45684	0.6931472	18	49.98768	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	6.9	"good"	8.45684	0.6931472	18	14.86927	"female"	TRUE	FALSE
11	0	FALSE	0	0	TRUE	6.9	"good"	8.45684	0.6931472	18	15.86927	"female"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	6.9	"good"	8.45684	0.6931472	18	16.86927	"female"	TRUE	FALSE
10	0	FALSE	0	0	TRUE	6.9	"good"	8.45684	0.6931472	18	17.86927	"female"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	6.9	"good"	8.45684	0.6931472	18	18.86927	"female"	FALSE	FALSE
8	4.564348	TRUE	6.771248	6.160541	FALSE	6.9	"excellent"	8.723536	1.098612	11	32.66804	"male"	FALSE	FALSE
5	4.564348	TRUE	6.771248	6.160541	FALSE	6.9	"excellent"	8.723536	1.098612	11	33.66804	"male"	FALSE	FALSE
3	4.564348	TRUE	6.771248	6.160541	FALSE	6.9	"excellent"	8.723536	1.098612	11	34.66804	"male"	FALSE	FALSE
8	4.564348	TRUE	6.771248	6.160541	TRUE	10.3	"good"	8.723536	1.098612	12	30.57632	"female"	FALSE	FALSE
5	4.564348	TRUE	6.771248	6.160541	TRUE	10.3	"good"	8.723536	1.098612	12	31.57632	"female"	FALSE	FALSE
8	4.564348	TRUE	6.771248	6.160541	TRUE	10.3	"good"	8.723536	1.098612	12	32.57632	"female"	FALSE	FALSE
2	4.564348	TRUE	6.771248	6.160541	FALSE	11.84267	"excellent"	8.723536	1.098612	12	5.768651	"male"	TRUE	FALSE
1	4.564348	TRUE	6.771248	6.160541	FALSE	11.84267	"excellent"	8.723536	1.098612	12	6.768651	"male"	TRUE	FALSE
0	4.564348	TRUE	6.771248	6.160541	FALSE	11.84267	"excellent"	8.723536	1.098612	12	7.768651	"male"	TRUE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	11	18.02601	"male"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	11	19.02601	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	11	20.02601	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	11	21.02601	"male"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	11	22.02601	"male"	FALSE	FALSE
2	4.564348	FALSE	0	6.959049	FALSE	10.3	"excellent"	9.43565	1.609438	14	43.34839	"male"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	10.3	"excellent"	9.43565	1.609438	14	44.34839	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	10.3	"excellent"	9.43565	1.609438	14	45.34839	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	10.3	"excellent"	9.43565	1.609438	14	46.34839	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	10.3	"excellent"	9.43565	1.609438	14	47.34839	"male"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	6.9	"excellent"	9.43565	1.609438	12	38.52156	"female"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	6.9	"excellent"	9.43565	1.609438	12	39.52156	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	6.9	"excellent"	9.43565	1.609438	12	40.52156	"female"	FALSE	FALSE
2	4.564348	FALSE	0	6.959049	FALSE	6.9	"excellent"	9.43565	1.609438	12	41.52156	"female"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	6.9	"excellent"	9.43565	1.609438	12	42.52156	"female"	FALSE	FALSE
8	4.564348	FALSE	0	6.959049	FALSE	11.84267	"excellent"	9.43565	1.609438	12	13.21013	"male"	TRUE	FALSE
2	4.564348	FALSE	0	6.959049	FALSE	11.84267	"excellent"	9.43565	1.609438	12	14.21013	"male"	TRUE	FALSE
4	4.564348	FALSE	0	6.959049	FALSE	11.84267	"excellent"	9.43565	1.609438	12	15.21013	"male"	TRUE	FALSE
6	4.564348	FALSE	0	6.959049	FALSE	11.84267	"excellent"	9.43565	1.609438	12	16.21013	"male"	TRUE	FALSE
3	4.564348	FALSE	0	6.959049	FALSE	11.84267	"excellent"	9.43565	1.609438	12	17.21013	"male"	TRUE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	12	15.83573	"female"	TRUE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	12	16.83573	"female"	TRUE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	12	17.83573	"female"	TRUE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	12	18.83573	"female"	FALSE	FALSE
1	4.564348	FALSE	0	6.959049	FALSE	0	"excellent"	9.43565	1.609438	12	19.83573	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	8.686003	0	16	27.13484	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	8.686003	0	16	28.13484	"female"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	13.8	"excellent"	8.686003	0	16	29.13484	"female"	FALSE	FALSE
10	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.055055	0.6931472	11	24.22998	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.055055	1.098612	11	25.22998	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.055055	1.386294	11	26.22998	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	9.055055	0.6931472	10	27.06366	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	9.055055	1.098612	10	28.06366	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	9.055055	1.386294	10	29.06366	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	8.724203	0	17	29.84531	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	8.724203	0	17	30.84531	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	20.7	"good"	8.724203	0	17	31.84531	"female"	FALSE	FALSE
5	3.258096	FALSE	6.515601	7.038784	FALSE	17.2	"excellent"	8.420941	1.386294	16	53.82888	"male"	FALSE	FALSE
1	3.258096	FALSE	6.515601	7.038784	FALSE	17.2	"excellent"	8.420941	1.386294	16	54.82888	"male"	FALSE	FALSE
2	3.258096	FALSE	6.515601	7.038784	FALSE	17.2	"excellent"	8.420941	1.098612	16	55.82888	"male"	FALSE	FALSE
2	3.258096	FALSE	6.515601	7.038784	FALSE	17.2	"excellent"	8.420941	1.098612	16	56.82888	"male"	FALSE	FALSE
6	3.258096	FALSE	6.515601	7.038784	FALSE	17.2	"excellent"	8.420941	1.098612	16	57.82888	"male"	FALSE	FALSE
0	3.258096	FALSE	6.515601	7.038784	FALSE	3.4	"excellent"	8.420941	1.386294	12	14.72964	"female"	TRUE	FALSE
1	3.258096	FALSE	6.515601	7.038784	FALSE	3.4	"excellent"	8.420941	1.386294	12	15.72964	"female"	TRUE	FALSE
0	3.258096	FALSE	6.515601	7.038784	FALSE	3.4	"excellent"	8.420941	1.098612	12	16.72964	"female"	TRUE	FALSE
0	3.258096	FALSE	6.515601	7.038784	FALSE	3.4	"excellent"	8.420941	1.098612	12	17.72964	"female"	TRUE	FALSE
0	3.258096	FALSE	6.515601	7.038784	FALSE	3.4	"excellent"	8.420941	1.098612	12	18.72964	"female"	FALSE	FALSE
11	3.258096	FALSE	6.515601	7.038784	FALSE	10.3	"excellent"	8.420941	1.386294	12	50.71321	"female"	FALSE	FALSE
18	3.258096	FALSE	6.515601	7.038784	FALSE	10.3	"excellent"	8.420941	1.386294	12	51.71321	"female"	FALSE	FALSE
1	3.258096	FALSE	6.515601	7.038784	FALSE	10.3	"excellent"	8.420941	1.386294	12	19.15674	"male"	FALSE	FALSE
8	3.258096	FALSE	6.515601	7.038784	FALSE	10.3	"excellent"	8.420941	1.386294	12	20.15674	"male"	FALSE	FALSE
0	3.258096	FALSE	6.515601	7.038784	FALSE	10.3	"excellent"	8.420941	1.098612	12	21.15674	"male"	FALSE	FALSE
0	3.258096	FALSE	6.515601	7.038784	FALSE	10.3	"excellent"	8.420941	1.098612	12	22.15674	"male"	FALSE	FALSE
0	3.258096	FALSE	6.515601	7.038784	FALSE	10.3	"excellent"	8.420941	1.098612	12	23.15674	"male"	FALSE	FALSE
1	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	5.494866	"male"	TRUE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	6.494866	"male"	TRUE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	7.494866	"male"	TRUE	FALSE
1	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	7.227926	"female"	TRUE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	8.227926	"female"	TRUE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	9.227926	"female"	TRUE	FALSE
3	3.258096	FALSE	6.814652	8.200947	FALSE	17.2	"good"	8.929455	1.609438	8	35.63586	"male"	FALSE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	17.2	"good"	8.929455	1.609438	8	36.63586	"male"	FALSE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	17.2	"good"	8.929455	1.609438	8	37.63586	"male"	FALSE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	10.3	"good"	8.929455	1.609438	11	35.63039	"female"	FALSE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	10.3	"good"	8.929455	1.609438	11	36.63039	"female"	FALSE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	10.3	"good"	8.929455	1.609438	11	37.63039	"female"	FALSE	FALSE
2	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	10.13279	"male"	TRUE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	11.13279	"male"	TRUE	FALSE
0	3.258096	FALSE	6.814652	8.200947	FALSE	11.84267	"good"	8.929455	1.609438	11	12.13279	"male"	TRUE	FALSE
1	3.258096	FALSE	6.582247	7.654443	FALSE	13.8	"good"	8.850704	1.386294	16	27.78645	"female"	FALSE	FALSE
0	3.258096	FALSE	6.582247	7.654443	FALSE	13.8	"good"	8.850704	1.386294	16	28.78645	"female"	FALSE	FALSE
2	3.258096	FALSE	6.582247	7.654443	FALSE	13.8	"good"	8.850704	1.386294	16	29.78645	"female"	FALSE	FALSE
8	3.258096	FALSE	6.582247	7.654443	FALSE	0	"excellent"	8.850704	1.386294	16	27.23066	"male"	FALSE	FALSE
4	3.258096	FALSE	6.582247	7.654443	FALSE	0	"excellent"	8.850704	1.386294	16	28.23066	"male"	FALSE	FALSE
4	3.258096	FALSE	6.582247	7.654443	FALSE	0	"excellent"	8.850704	1.386294	16	29.23066	"male"	FALSE	FALSE
8	3.258096	FALSE	6.582247	7.654443	FALSE	11.84267	"excellent"	8.850704	1.386294	16	3.912389	"male"	TRUE	FALSE
7	3.258096	FALSE	6.582247	7.654443	FALSE	11.84267	"excellent"	8.850704	1.386294	16	4.912389	"male"	TRUE	FALSE
10	3.258096	FALSE	6.582247	7.654443	FALSE	11.84267	"excellent"	8.850704	1.386294	16	5.912389	"male"	TRUE	FALSE
11	3.258096	FALSE	6.582247	7.654443	FALSE	11.84267	"excellent"	8.850704	1.386294	16	0.843258	"male"	TRUE	FALSE
10	3.258096	FALSE	6.582247	7.654443	FALSE	11.84267	"excellent"	8.850704	1.386294	16	1.843258	"male"	TRUE	FALSE
7	3.258096	FALSE	6.582247	7.654443	FALSE	11.84267	"excellent"	8.850704	1.386294	16	2.843258	"male"	TRUE	FALSE
1	4.564348	FALSE	6.276794	6.767828	FALSE	3.4	"good"	9.084751	1.791759	16	39.96988	"male"	FALSE	FALSE
1	4.564348	FALSE	6.276794	6.767828	FALSE	3.4	"good"	9.084751	1.791759	16	40.96988	"male"	FALSE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	3.4	"good"	9.084751	1.609438	16	41.96988	"male"	FALSE	FALSE
1	4.564348	FALSE	6.276794	6.767828	FALSE	11.84267	"good"	9.084751	1.791759	12	13.74401	"female"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	11.84267	"good"	9.084751	1.791759	12	14.74401	"female"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	11.84267	"good"	9.084751	1.609438	12	15.74401	"female"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	20.7	"good"	9.084751	1.791759	12	34.61191	"female"	FALSE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	20.7	"good"	9.084751	1.791759	12	35.61191	"female"	FALSE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	20.7	"good"	9.084751	1.609438	12	36.61191	"female"	FALSE	FALSE
1	4.564348	FALSE	6.276794	6.767828	FALSE	3.4	"good"	9.084751	1.791759	12	16.29569	"female"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	3.4	"good"	9.084751	1.791759	12	17.29569	"female"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	11.84267	"good"	9.084751	1.791759	12	10.98973	"male"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	11.84267	"good"	9.084751	1.791759	12	11.98973	"male"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	11.84267	"good"	9.084751	1.609438	12	12.98973	"male"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	10.3	"good"	9.084751	1.791759	12	15.18686	"female"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	10.3	"good"	9.084751	1.791759	12	16.18686	"female"	TRUE	FALSE
0	4.564348	FALSE	6.276794	6.767828	FALSE	10.3	"good"	9.084751	1.609438	12	17.18686	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	20.7	"good"	9.002815	0.6931472	13	23.62491	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	20.7	"good"	9.002815	1.098612	13	24.62491	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	20.7	"good"	9.002815	1.098612	13	25.62491	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	20.7	"good"	9.002815	1.098612	13	26.62491	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	20.7	"good"	9.002815	1.386294	13	27.62491	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.002815	0.6931472	14	27.51266	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	9.002815	1.098612	14	28.51266	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	9.002815	1.098612	14	29.51266	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	9.002815	1.098612	14	30.51266	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.002815	1.386294	14	31.51266	"male"	FALSE	FALSE
3	0	FALSE	5.51986	0	FALSE	13.8	"excellent"	8.757775	1.386294	10	38.07803	"female"	FALSE	FALSE
0	0	FALSE	5.51986	0	FALSE	13.8	"excellent"	8.757775	1.098612	10	39.07803	"female"	FALSE	FALSE
1	0	FALSE	5.51986	0	FALSE	13.8	"excellent"	8.757775	1.098612	10	40.07803	"female"	FALSE	FALSE
1	0	FALSE	5.51986	0	FALSE	11.84267	"excellent"	8.757775	1.386294	10	11.09103	"male"	TRUE	FALSE
0	0	FALSE	5.51986	0	FALSE	11.84267	"excellent"	8.757775	1.098612	10	12.09103	"male"	TRUE	FALSE
0	0	FALSE	5.51986	0	FALSE	11.84267	"excellent"	8.757775	1.098612	10	13.09103	"male"	TRUE	FALSE
8	0	FALSE	5.51986	0	FALSE	11.84267	"good"	8.757775	1.386294	10	13.40452	"male"	TRUE	FALSE
4	0	FALSE	5.51986	0	FALSE	11.84267	"good"	8.757775	1.098612	10	14.40452	"male"	TRUE	FALSE
0	0	FALSE	5.51986	0	FALSE	11.84267	"good"	8.757775	1.098612	10	15.40452	"male"	TRUE	FALSE
4	0	FALSE	5.51986	0	FALSE	10.3	"good"	8.757775	1.386294	10	17.87817	"female"	TRUE	FALSE
15	0	FALSE	0	0	FALSE	6.9	"good"	7.576774	0	10	45.13621	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	7.576774	0	10	46.13621	"female"	FALSE	FALSE
17	0	FALSE	0	0	FALSE	6.9	"good"	7.576774	0	10	47.13621	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	9.067237	0.6931472	12	57.57153	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"fair"	9.067237	0.6931472	12	57.36345	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.375393	0.6931472	13	22.00137	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.375393	0.6931472	13	23.00137	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.375393	0.6931472	13	24.00137	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.375393	0.6931472	13	21.80151	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.375393	0.6931472	13	22.80151	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.375393	0.6931472	13	23.80151	"female"	FALSE	FALSE
0	4.564348	TRUE	5.460734	6.160541	FALSE	24.1	"good"	9.251798	1.609438	16	41.15811	"male"	FALSE	FALSE
3	4.564348	TRUE	5.460734	6.160541	FALSE	24.1	"good"	9.251798	1.609438	16	42.15811	"male"	FALSE	FALSE
0	4.564348	TRUE	5.460734	6.160541	FALSE	24.1	"good"	9.251798	1.609438	16	43.15811	"male"	FALSE	FALSE
5	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	11.04449	"female"	TRUE	FALSE
2	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	12.04449	"female"	TRUE	FALSE
2	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	13.04449	"female"	TRUE	FALSE
8	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	8.84052	"male"	TRUE	FALSE
2	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	9.84052	"male"	TRUE	FALSE
4	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	10.84052	"male"	TRUE	FALSE
5	4.564348	TRUE	5.460734	6.160541	FALSE	20.7	"good"	9.251798	1.609438	18	38.96235	"female"	FALSE	FALSE
0	4.564348	TRUE	5.460734	6.160541	FALSE	20.7	"good"	9.251798	1.609438	18	39.96235	"female"	FALSE	FALSE
4	4.564348	TRUE	5.460734	6.160541	FALSE	20.7	"good"	9.251798	1.609438	18	40.96235	"female"	FALSE	FALSE
11	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	8.117727	"female"	TRUE	FALSE
5	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	9.117727	"female"	TRUE	FALSE
11	4.564348	TRUE	5.460734	6.160541	FALSE	11.84267	"good"	9.251798	1.609438	18	10.11773	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.30734	0.6931472	16	29.07871	"male"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.30734	0.6931472	16	30.07871	"male"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.30734	0.6931472	16	31.07871	"male"	FALSE	TRUE
2	0	FALSE	6.288007	0	FALSE	3.4	"excellent"	8.727345	1.386294	16	31.5154	"male"	FALSE	FALSE
1	0	FALSE	6.288007	0	FALSE	3.4	"excellent"	8.727345	1.386294	16	32.5154	"male"	FALSE	FALSE
0	0	FALSE	6.288007	0	FALSE	3.4	"excellent"	8.727345	1.386294	16	33.5154	"male"	FALSE	FALSE
8	0	FALSE	6.288007	0	FALSE	11.84267	"excellent"	8.727345	1.386294	14	5.546885	"male"	TRUE	FALSE
7	0	FALSE	6.288007	0	FALSE	11.84267	"excellent"	8.727345	1.386294	14	6.546885	"male"	TRUE	FALSE
1	0	FALSE	6.288007	0	FALSE	11.84267	"excellent"	8.727345	1.386294	14	7.546885	"male"	TRUE	FALSE
4	0	FALSE	6.288007	0	FALSE	11.84267	"excellent"	8.727345	1.386294	14	2.015058	"male"	TRUE	FALSE
0	0	FALSE	6.288007	0	FALSE	11.84267	"excellent"	8.727345	1.386294	14	3.015058	"male"	TRUE	FALSE
0	0	FALSE	6.288007	0	FALSE	11.84267	"excellent"	8.727345	1.386294	14	4.015058	"male"	TRUE	FALSE
1	0	FALSE	6.288007	0	FALSE	13.8	"good"	8.727345	1.386294	14	27.98083	"female"	FALSE	FALSE
1	0	FALSE	6.288007	0	FALSE	13.8	"good"	8.727345	1.386294	14	28.98083	"female"	FALSE	FALSE
2	0	FALSE	6.288007	0	FALSE	13.8	"good"	8.727345	1.386294	14	29.98083	"female"	FALSE	FALSE
2	3.258096	FALSE	6.253829	8.294049	FALSE	10.3	"good"	9.099996	0.6931472	16	53.83984	"female"	FALSE	FALSE
0	3.258096	FALSE	6.253829	8.294049	FALSE	10.3	"good"	9.099996	0.6931472	16	54.83984	"female"	FALSE	FALSE
3	3.258096	FALSE	6.253829	8.294049	FALSE	10.3	"good"	9.099996	0.6931472	16	55.83984	"female"	FALSE	FALSE
1	3.258096	FALSE	6.253829	8.294049	FALSE	10.3	"good"	9.099996	0.6931472	16	56.83984	"female"	FALSE	FALSE
0	3.258096	FALSE	6.253829	8.294049	FALSE	10.3	"good"	9.099996	0.6931472	16	57.83984	"female"	FALSE	FALSE
0	3.258096	FALSE	6.253829	8.294049	FALSE	0	"good"	9.099996	0.6931472	15	50.86927	"male"	FALSE	FALSE
5	3.258096	FALSE	6.253829	8.294049	FALSE	0	"good"	9.099996	0.6931472	15	51.86927	"male"	FALSE	FALSE
0	3.258096	FALSE	6.253829	8.294049	FALSE	0	"good"	9.099996	0.6931472	15	52.86927	"male"	FALSE	FALSE
1	3.258096	FALSE	6.253829	8.294049	FALSE	0	"good"	9.099996	0.6931472	15	53.86927	"male"	FALSE	FALSE
0	3.258096	FALSE	6.253829	8.294049	FALSE	0	"good"	9.099996	0.6931472	15	54.86927	"male"	FALSE	FALSE
6	0	FALSE	5.762052	0	TRUE	24.1	"fair"	8.941882	1.098612	16	35.1102	"male"	FALSE	FALSE
2	0	FALSE	5.762052	0	TRUE	24.1	"fair"	8.941882	1.098612	16	36.1102	"male"	FALSE	FALSE
3	0	FALSE	5.762052	0	TRUE	24.1	"fair"	8.941882	1.098612	16	37.1102	"male"	FALSE	FALSE
0	0	FALSE	5.762052	0	FALSE	11.84267	"excellent"	8.941882	1.098612	16	9.776865	"male"	TRUE	FALSE
0	0	FALSE	5.762052	0	FALSE	11.84267	"excellent"	8.941882	1.098612	16	10.77687	"male"	TRUE	FALSE
0	0	FALSE	5.762052	0	FALSE	11.84267	"excellent"	8.941882	1.098612	16	11.77687	"male"	TRUE	FALSE
0	0	FALSE	5.762052	0	FALSE	11.84267	"excellent"	8.941882	1.098612	16	8.303902	"female"	TRUE	FALSE
0	0	FALSE	5.762052	0	FALSE	11.84267	"excellent"	8.941882	1.098612	16	9.303902	"female"	TRUE	FALSE
0	0	FALSE	5.762052	0	FALSE	11.84267	"excellent"	8.941882	1.098612	16	10.3039	"female"	TRUE	FALSE
3	0	FALSE	5.375278	0	TRUE	11.84267	"good"	6.345487	0.6931472	13	38.70226	"female"	FALSE	FALSE
4	0	FALSE	5.375278	0	TRUE	11.84267	"good"	6.345487	0.6931472	13	39.70226	"female"	FALSE	FALSE
0	0	FALSE	5.375278	0	TRUE	11.84267	"good"	6.345487	0.6931472	13	40.70226	"female"	FALSE	FALSE
6	0	FALSE	5.375278	0	TRUE	11.84267	"fair"	6.345487	0.6931472	11	18.20945	"female"	FALSE	FALSE
6	0	FALSE	5.375278	0	TRUE	11.84267	"fair"	6.345487	0.6931472	11	19.20945	"female"	FALSE	FALSE
1	0	FALSE	5.375278	0	TRUE	11.84267	"fair"	6.345487	0.6931472	11	20.20945	"female"	FALSE	FALSE
2	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.098612	12	22.24778	"female"	FALSE	FALSE
2	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.098612	12	23.24778	"female"	FALSE	FALSE
2	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.386294	12	24.24778	"female"	FALSE	FALSE
7	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.386294	12	25.24778	"female"	FALSE	FALSE
5	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.386294	12	26.24778	"female"	FALSE	FALSE
1	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.098612	12	20.28474	"male"	FALSE	FALSE
2	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.098612	12	21.28474	"male"	FALSE	FALSE
0	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.386294	12	22.28474	"male"	FALSE	FALSE
0	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.386294	12	23.28474	"male"	FALSE	FALSE
0	0	FALSE	5.785915	0	FALSE	3.4	"good"	8.842349	1.386294	12	24.28474	"male"	FALSE	FALSE
1	0	FALSE	5.897868	0	FALSE	6.9	"good"	9.350521	1.386294	12	25.00205	"male"	FALSE	FALSE
5	0	FALSE	5.897868	0	FALSE	6.9	"good"	9.350521	1.386294	12	26.00205	"male"	FALSE	FALSE
8	0	FALSE	5.897868	0	FALSE	6.9	"good"	9.350521	1.386294	12	27.00205	"male"	FALSE	FALSE
4	0	FALSE	5.897868	0	FALSE	11.84267	"good"	9.350521	1.386294	11	7.321013	"male"	TRUE	FALSE
1	0	FALSE	5.897868	0	FALSE	11.84267	"good"	9.350521	1.386294	11	8.321013	"male"	TRUE	FALSE
2	0	FALSE	5.897868	0	FALSE	11.84267	"good"	9.350521	1.386294	11	9.321013	"male"	TRUE	FALSE
11	0	FALSE	5.897868	0	FALSE	11.84267	"good"	9.350521	1.386294	11	4.145106	"female"	TRUE	FALSE
3	0	FALSE	5.897868	0	FALSE	11.84267	"good"	9.350521	1.386294	11	5.145106	"female"	TRUE	FALSE
3	0	FALSE	5.897868	0	FALSE	11.84267	"good"	9.350521	1.386294	11	6.145106	"female"	TRUE	FALSE
6	0	FALSE	5.897868	0	FALSE	3.4	"good"	9.350521	1.386294	11	26.00137	"female"	FALSE	FALSE
2	0	FALSE	5.897868	0	FALSE	3.4	"good"	9.350521	1.386294	11	27.00137	"female"	FALSE	FALSE
0	0	FALSE	5.897868	0	FALSE	3.4	"good"	9.350521	1.386294	11	28.00137	"female"	FALSE	FALSE
8	0	FALSE	6.243273	0	FALSE	6.9	"good"	9.50562	0.6931472	12	54.31896	"female"	FALSE	FALSE
4	0	FALSE	6.243273	0	FALSE	6.9	"good"	9.50562	0.6931472	12	55.31896	"female"	FALSE	FALSE
2	0	FALSE	6.243273	0	FALSE	6.9	"good"	9.50562	0.6931472	12	56.31896	"female"	FALSE	FALSE
10	0	FALSE	6.243273	0	FALSE	10.3	"good"	9.50562	0.6931472	14	55.0089	"male"	FALSE	FALSE
10	0	FALSE	6.243273	0	FALSE	10.3	"good"	9.50562	0.6931472	14	56.0089	"male"	FALSE	FALSE
4	0	FALSE	6.243273	0	FALSE	10.3	"good"	9.50562	0.6931472	14	57.0089	"male"	FALSE	FALSE
6	0	FALSE	6.408858	0	TRUE	20.7	"good"	8.905241	1.386294	12	48.01917	"female"	FALSE	FALSE
3	0	FALSE	6.408858	0	TRUE	20.7	"good"	8.905241	1.386294	12	49.01917	"female"	FALSE	FALSE
5	0	FALSE	6.408858	0	TRUE	20.7	"good"	8.905241	1.386294	12	50.01917	"female"	FALSE	FALSE
3	0	FALSE	6.408858	0	TRUE	20.7	"good"	8.905241	1.386294	12	51.01917	"female"	FALSE	FALSE
3	0	FALSE	6.408858	0	TRUE	20.7	"good"	8.905241	1.386294	12	52.01917	"female"	FALSE	FALSE
1	0	FALSE	6.408858	0	TRUE	17.2	"fair"	8.905241	1.386294	12	50.09993	"male"	FALSE	FALSE
2	0	FALSE	6.408858	0	TRUE	17.2	"fair"	8.905241	1.386294	12	51.09993	"male"	FALSE	FALSE
1	0	FALSE	6.408858	0	TRUE	17.2	"fair"	8.905241	1.386294	12	52.09993	"male"	FALSE	FALSE
8	0	FALSE	6.408858	0	TRUE	17.2	"fair"	8.905241	1.386294	12	53.09993	"male"	FALSE	FALSE
4	0	FALSE	6.408858	0	TRUE	17.2	"fair"	8.905241	1.386294	12	54.09993	"male"	FALSE	FALSE
2	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	10.38741	"female"	TRUE	FALSE
0	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	11.38741	"female"	TRUE	FALSE
3	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	12.38741	"female"	TRUE	FALSE
2	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	13.38741	"female"	TRUE	FALSE
6	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	14.38741	"female"	TRUE	FALSE
1	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	12.26831	"male"	TRUE	FALSE
0	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	13.26831	"male"	TRUE	FALSE
1	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	14.26831	"male"	TRUE	FALSE
0	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	15.26831	"male"	TRUE	FALSE
1	0	FALSE	6.408858	0	FALSE	11.84267	"excellent"	8.905241	1.386294	12	16.26831	"male"	TRUE	FALSE
9	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"good"	9.893636	1.386294	14	1.451061	"male"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"good"	9.893636	1.386294	14	2.451061	"male"	TRUE	FALSE
14	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"good"	9.893636	1.386294	14	3.451061	"male"	TRUE	FALSE
14	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.893636	1.386294	14	3.175907	"female"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.893636	1.386294	14	4.175907	"female"	TRUE	FALSE
17	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	9.893636	1.386294	14	5.175907	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.893636	1.386294	14	31.14031	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.893636	1.386294	14	32.14032	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.893636	1.386294	14	33.14032	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.893636	1.386294	16	32.65435	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.893636	1.386294	16	33.65435	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.893636	1.386294	16	34.65435	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.268869	0	14	53.90007	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.268869	0	14	54.90007	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.268869	0	14	55.90007	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.268869	0	14	56.90007	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.268869	0	14	57.90007	"male"	FALSE	FALSE
0	3.258096	FALSE	6.573541	7.959835	FALSE	3.4	"good"	8.620491	0	16	27.29637	"male"	FALSE	FALSE
3	3.258096	FALSE	6.573541	7.959835	FALSE	3.4	"good"	8.620491	0	16	28.29637	"male"	FALSE	FALSE
1	3.258096	FALSE	6.573541	7.959835	FALSE	3.4	"good"	8.620491	0	16	29.29637	"male"	FALSE	FALSE
2	0	FALSE	5.817825	0	FALSE	0	"good"	9.778838	1.609438	10	16.07666	"male"	TRUE	FALSE
4	0	FALSE	5.817825	0	FALSE	0	"good"	9.778838	1.609438	10	17.07666	"male"	TRUE	FALSE
6	0	FALSE	5.817825	0	FALSE	0	"good"	9.778838	1.386294	10	18.07666	"male"	FALSE	FALSE
10	0	FALSE	5.817825	0	FALSE	27.6	"good"	9.778838	1.609438	10	38.17112	"female"	FALSE	FALSE
8	0	FALSE	5.817825	0	FALSE	27.6	"good"	9.778838	1.609438	10	39.17112	"female"	FALSE	FALSE
5	0	FALSE	5.817825	0	FALSE	27.6	"good"	9.778838	1.386294	10	40.17112	"female"	FALSE	FALSE
9	0	FALSE	5.817825	0	FALSE	6.9	"excellent"	9.778838	1.609438	11	18.16564	"male"	FALSE	FALSE
2	0	FALSE	5.817825	0	FALSE	6.9	"excellent"	9.778838	1.609438	11	19.16564	"male"	FALSE	FALSE
0	0	FALSE	5.817825	0	FALSE	6.9	"excellent"	9.778838	1.386294	11	20.16564	"male"	FALSE	FALSE
9	0	FALSE	5.817825	0	FALSE	3.4	"excellent"	9.778838	1.609438	12	19.54552	"female"	FALSE	FALSE
11	0	FALSE	5.817825	0	FALSE	3.4	"excellent"	9.778838	1.609438	12	20.54552	"female"	FALSE	FALSE
4	0	FALSE	5.817825	0	FALSE	10.3	"good"	9.778838	1.609438	12	30.0616	"male"	FALSE	FALSE
2	0	FALSE	5.817825	0	FALSE	10.3	"good"	9.778838	1.609438	12	31.0616	"male"	FALSE	FALSE
1	0	FALSE	5.817825	0	FALSE	10.3	"good"	9.778838	1.386294	12	32.0616	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	3.381246	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	4.381246	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	5.381246	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	9.33697	1.609438	16	33.05133	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	10.3	"excellent"	9.33697	1.609438	16	34.05133	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	9.33697	1.609438	16	35.05133	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.33697	1.609438	16	34.03422	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.33697	1.609438	16	35.03422	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.33697	1.609438	16	36.03422	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	9.38809	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	10.38809	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	11.38809	"female"	TRUE	FALSE
12	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	1.587953	"male"	TRUE	FALSE
12	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	2.587954	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.33697	1.609438	16	3.587954	"male"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.339161	0	16	27.92882	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.339161	0	16	28.92882	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.339161	0	16	29.92882	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.339161	0	16	30.92882	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.339161	0	16	31.92882	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.222383	0.6931472	12	46.5681	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.222383	0.6931472	12	47.5681	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.222383	0.6931472	12	48.5681	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.222383	0.6931472	12	49.5681	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.222383	0.6931472	12	50.5681	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.222383	0.6931472	11	18.31075	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.222383	0.6931472	11	19.31075	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.222383	0.6931472	11	20.31075	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.222383	0.6931472	11	21.31075	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.222383	0.6931472	11	22.31075	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.003536	0.6931472	17	25.57153	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.003536	0.6931472	17	26.57153	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.003536	0.6931472	17	27.57153	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.003536	0.6931472	17	28.57153	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.003536	0.6931472	17	29.57153	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.003536	0.6931472	13	23.47707	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.003536	0.6931472	13	24.47707	"female"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.003536	0.6931472	13	25.47707	"female"	FALSE	FALSE
44	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.003536	0.6931472	13	26.47707	"female"	FALSE	FALSE
57	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.003536	0.6931472	13	27.47707	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.629425	1.609438	16	12.13689	"male"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.629425	1.609438	16	13.13689	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.629425	1.609438	16	14.13689	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.629425	1.609438	16	16.33949	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.629425	1.609438	16	17.33949	"male"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.629425	1.609438	16	18.33949	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.629425	1.609438	16	40.49281	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.629425	1.609438	16	41.49281	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.629425	1.609438	16	42.49281	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.629425	1.609438	19	44.15332	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.629425	1.609438	19	45.15332	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.629425	1.609438	19	46.15332	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.629425	1.609438	16	15.03354	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.629425	1.609438	16	16.03354	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.629425	1.609438	16	17.03354	"male"	TRUE	FALSE
0	4.564348	TRUE	5.274383	6.160541	FALSE	11.84267	"excellent"	9.084085	1.386294	15	8.358659	"male"	TRUE	FALSE
0	4.564348	TRUE	5.274383	6.160541	FALSE	11.84267	"excellent"	9.084085	1.386294	15	9.358659	"male"	TRUE	FALSE
0	4.564348	TRUE	5.274383	6.160541	FALSE	11.84267	"excellent"	9.084085	1.386294	15	10.35866	"male"	TRUE	FALSE
3	4.564348	TRUE	5.274383	6.160541	FALSE	10.3	"excellent"	9.084085	1.386294	15	34.27242	"female"	FALSE	FALSE
0	4.564348	TRUE	5.274383	6.160541	FALSE	10.3	"excellent"	9.084085	1.386294	15	35.27242	"female"	FALSE	FALSE
0	4.564348	TRUE	5.274383	6.160541	FALSE	10.3	"excellent"	9.084085	1.386294	15	36.27242	"female"	FALSE	FALSE
1	4.564348	TRUE	5.274383	6.160541	FALSE	0	"excellent"	9.084085	1.386294	20	35.154	"male"	FALSE	FALSE
2	4.564348	TRUE	5.274383	6.160541	FALSE	0	"excellent"	9.084085	1.386294	20	36.154	"male"	FALSE	FALSE
1	4.564348	TRUE	5.274383	6.160541	FALSE	0	"excellent"	9.084085	1.386294	20	37.154	"male"	FALSE	FALSE
1	4.564348	TRUE	5.274383	6.160541	FALSE	11.84267	"excellent"	9.084085	1.386294	15	6.198494	"male"	TRUE	FALSE
1	4.564348	TRUE	5.274383	6.160541	FALSE	11.84267	"excellent"	9.084085	1.386294	15	7.198494	"male"	TRUE	FALSE
0	4.564348	TRUE	5.274383	6.160541	FALSE	11.84267	"excellent"	9.084085	1.386294	15	8.198494	"male"	TRUE	FALSE
1	4.564348	FALSE	6.743352	6.794645	FALSE	10.3	"good"	8.33874	0	12	24.69815	"male"	FALSE	FALSE
0	4.564348	FALSE	6.743352	6.794645	FALSE	10.3	"good"	8.33874	0.6931472	12	25.69815	"male"	FALSE	FALSE
0	4.564348	FALSE	6.743352	6.794645	FALSE	10.3	"good"	8.33874	0.6931472	12	26.69815	"male"	FALSE	FALSE
0	4.564348	FALSE	6.743352	6.794645	FALSE	10.3	"good"	8.33874	0.6931472	12	27.69815	"male"	FALSE	FALSE
0	4.564348	FALSE	6.743352	6.794645	FALSE	10.3	"good"	8.33874	0.6931472	12	28.69815	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	9.067237	1.098612	11	17.35797	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	9.067237	1.098612	11	18.35797	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	9.067237	1.098612	11	14.51335	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	9.067237	1.098612	11	15.51335	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	9.067237	0.6931472	11	16.51335	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	27.6	"good"	9.067237	1.098612	11	35.45243	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	27.6	"good"	9.067237	1.098612	11	36.45243	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	27.6	"good"	9.067237	0.6931472	11	37.45243	"female"	FALSE	FALSE
3	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	2.395619	"male"	TRUE	FALSE
33	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	3.395619	"male"	TRUE	FALSE
3	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	4.395619	"male"	TRUE	FALSE
6	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	5.395619	"male"	TRUE	FALSE
5	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	6.395619	"male"	TRUE	FALSE
3	3.258096	FALSE	5.717028	7.103322	FALSE	3.4	"excellent"	8.825342	1.386294	12	22.62012	"female"	FALSE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	3.4	"excellent"	8.825342	1.386294	12	23.62012	"female"	FALSE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	3.4	"excellent"	8.825342	1.386294	12	24.62012	"female"	FALSE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	3.4	"excellent"	8.825342	1.386294	12	25.62012	"female"	FALSE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	3.4	"excellent"	8.825342	1.386294	12	26.62012	"female"	FALSE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	0	"excellent"	8.825342	1.386294	13	23.40862	"male"	FALSE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	0	"excellent"	8.825342	1.386294	13	24.40862	"male"	FALSE	FALSE
0	3.258096	FALSE	5.717028	7.103322	FALSE	0	"excellent"	8.825342	1.386294	13	25.40862	"male"	FALSE	FALSE
0	3.258096	FALSE	5.717028	7.103322	FALSE	0	"excellent"	8.825342	1.386294	13	26.40862	"male"	FALSE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	0	"excellent"	8.825342	1.386294	13	27.40862	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	3.4	"excellent"	9.542308	1.386294	13	30.1629	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	3.4	"excellent"	9.542308	1.386294	13	31.1629	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	3.4	"excellent"	9.542308	1.386294	13	32.1629	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.542308	1.386294	16	33.48118	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	6.9	"excellent"	9.542308	1.386294	16	34.48118	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.542308	1.386294	16	35.48118	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.542308	1.386294	13	7.534565	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.542308	1.386294	13	8.534565	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.542308	1.386294	13	9.534565	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.542308	1.386294	13	5.360712	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.542308	1.386294	13	6.360712	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.542308	1.386294	13	7.360712	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.566792	1.609438	16	37.90007	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.566792	1.609438	16	38.90007	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.566792	1.609438	16	39.90007	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.566792	1.609438	16	40.90007	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.566792	1.609438	16	41.90007	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.566792	1.609438	16	37.33333	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.566792	1.609438	16	38.33333	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.566792	1.609438	16	39.33333	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.566792	1.609438	16	40.33333	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.566792	1.609438	16	41.33333	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	13.99589	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	14.99589	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	15.99589	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	16.99589	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	17.99589	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	11.00068	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	12.00068	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	13.00068	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	14.00068	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	15.00068	"male"	TRUE	FALSE
8	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	6.398357	"male"	TRUE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	7.398357	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	8.398357	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	9.398357	"male"	TRUE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.566792	1.609438	16	10.39836	"male"	TRUE	FALSE
1	4.564348	TRUE	6.243273	5.755076	FALSE	6.9	"excellent"	8.833583	0.6931472	13	20.54757	"male"	FALSE	FALSE
0	4.564348	TRUE	6.243273	5.755076	FALSE	6.9	"excellent"	8.833583	0.6931472	13	21.54757	"male"	FALSE	FALSE
0	4.564348	TRUE	6.243273	5.755076	FALSE	6.9	"excellent"	8.833583	0.6931472	13	22.54757	"male"	FALSE	FALSE
1	4.564348	TRUE	6.243273	5.755076	FALSE	10.3	"excellent"	8.833583	0.6931472	12	54.87201	"female"	FALSE	FALSE
19	4.564348	TRUE	6.243273	5.755076	FALSE	10.3	"excellent"	8.833583	0.6931472	12	55.87201	"female"	FALSE	FALSE
1	4.564348	TRUE	6.243273	5.755076	FALSE	10.3	"excellent"	8.833583	0.6931472	12	56.87201	"female"	FALSE	FALSE
14	3.258096	FALSE	5.291293	5.703783	FALSE	27.6	"good"	8.216755	0	16	25.3963	"female"	FALSE	FALSE
11	3.258096	FALSE	5.291293	5.703783	FALSE	27.6	"good"	8.216755	0	16	26.3963	"female"	FALSE	FALSE
10	3.258096	FALSE	5.291293	5.703783	FALSE	27.6	"good"	8.216755	0	16	27.3963	"female"	FALSE	FALSE
3	3.258096	FALSE	5.521461	6.907755	FALSE	3.4	"excellent"	9.014654	0.6931472	16	25.06229	"female"	FALSE	FALSE
6	3.258096	FALSE	5.521461	6.907755	FALSE	3.4	"excellent"	9.014654	0.6931472	16	26.06229	"female"	FALSE	FALSE
6	3.258096	FALSE	5.521461	6.907755	FALSE	3.4	"excellent"	9.014654	0.6931472	16	27.06229	"female"	FALSE	FALSE
7	4.564348	FALSE	6.040255	6.091548	FALSE	11.84267	"excellent"	8.921579	1.098612	12	11.83573	"female"	TRUE	FALSE
0	4.564348	FALSE	6.040255	6.091548	FALSE	11.84267	"excellent"	8.921579	1.098612	12	12.83573	"female"	TRUE	FALSE
6	4.564348	FALSE	6.040255	6.091548	FALSE	11.84267	"excellent"	8.921579	1.098612	12	13.83573	"female"	TRUE	FALSE
6	4.564348	FALSE	6.040255	6.091548	FALSE	11.84267	"excellent"	8.921579	1.098612	12	10.55168	"female"	TRUE	FALSE
2	4.564348	FALSE	6.040255	6.091548	FALSE	11.84267	"excellent"	8.921579	1.098612	12	11.55168	"female"	TRUE	FALSE
2	4.564348	FALSE	6.040255	6.091548	FALSE	11.84267	"excellent"	8.921579	1.098612	12	12.55168	"female"	TRUE	FALSE
2	4.564348	FALSE	6.040255	6.091548	FALSE	6.9	"excellent"	8.921579	1.098612	12	36.24641	"female"	FALSE	FALSE
2	4.564348	FALSE	6.040255	6.091548	FALSE	6.9	"excellent"	8.921579	1.098612	12	37.24641	"female"	FALSE	FALSE
3	4.564348	FALSE	6.040255	6.091548	FALSE	6.9	"excellent"	8.921579	1.098612	12	38.24641	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.060452	1.098612	14	52.0794	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.060452	1.098612	14	53.0794	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.060452	1.098612	14	54.0794	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.060452	1.098612	11	18.19302	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.060452	1.098612	11	19.19302	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.060452	1.098612	11	20.19302	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	9.060452	1.098612	16	22.74607	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	9.060452	1.098612	16	23.74607	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	9.060452	1.098612	16	24.74607	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.119067	0.6931472	14	23.30732	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.119067	0.6931472	14	24.30732	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.119067	0.6931472	14	25.30732	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.119067	0.6931472	14	26.30732	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.119067	0.6931472	14	27.30732	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	9.119067	0.6931472	10	58.57906	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	9.119067	0.6931472	10	59.57906	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	9.119067	0.6931472	10	60.57906	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	9.119067	0.6931472	10	61.57906	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	24.1	"good"	9.119067	0.6931472	10	62.57906	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.067237	0	12	55.75085	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.067237	0	12	56.75085	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.067237	0	12	57.75085	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.067237	0	12	58.75085	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.067237	0	12	59.75085	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	13.8	"good"	7.163422	0	15	22.13279	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	13.8	"good"	7.163422	0	15	23.13279	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	13.8	"good"	7.163422	0	15	24.13279	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.893475	1.386294	13	58.60917	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	8.893475	1.386294	13	20.48734	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"fair"	8.893475	1.386294	11	50.85558	"female"	FALSE	TRUE
0	4.564348	FALSE	5.857933	5.909226	FALSE	17.2	"excellent"	8.377385	0	15	24.75565	"female"	FALSE	FALSE
0	4.564348	FALSE	5.857933	5.909226	FALSE	17.2	"excellent"	8.377385	0	15	25.75565	"female"	FALSE	FALSE
0	4.564348	FALSE	5.857933	5.909226	FALSE	17.2	"excellent"	8.377385	0	15	26.75565	"female"	FALSE	FALSE
14	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	9.489646	1.386294	12	29.99863	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	9.489646	1.386294	12	30.99863	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	9.489646	1.386294	12	31.99863	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	9.489646	1.386294	12	32.99863	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"good"	9.489646	1.386294	12	33.99863	"male"	FALSE	FALSE
21	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.489646	1.386294	13	36.16427	"female"	FALSE	FALSE
13	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.489646	1.386294	13	37.16427	"female"	FALSE	FALSE
20	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.489646	1.386294	13	38.16427	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.489646	1.386294	13	39.16427	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.489646	1.386294	13	40.16427	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.489646	1.386294	13	14.93771	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.489646	1.386294	13	15.93771	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.489646	1.386294	13	16.93771	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.489646	1.386294	13	17.93771	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.489646	1.386294	13	18.93771	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.489646	1.386294	13	11.29911	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.489646	1.386294	13	12.29911	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.489646	1.386294	13	13.29911	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.489646	1.386294	13	14.29911	"female"	TRUE	FALSE
15	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"good"	9.489646	1.386294	13	15.29911	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	8.684119	0.6931472	12	28.59411	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	8.684119	0.6931472	12	29.59411	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	8.684119	0.6931472	12	30.59411	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.684119	0.6931472	12	31.59411	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.684119	0.6931472	12	32.59411	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	11.84267	"good"	8.684119	0.6931472	12	11.42505	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	11.84267	"good"	8.684119	0.6931472	12	12.42505	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	11.84267	"good"	8.684119	0.6931472	12	13.42505	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	11.84267	"good"	8.684119	0.6931472	12	14.42505	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	11.84267	"good"	8.684119	0.6931472	12	15.42505	"male"	TRUE	TRUE
0	4.564348	FALSE	6.506501	6.959049	FALSE	10.3	"excellent"	9.573422	1.386294	14	15.27721	"female"	TRUE	FALSE
4	4.564348	FALSE	6.506501	6.959049	FALSE	10.3	"excellent"	9.573422	1.386294	14	16.27721	"female"	TRUE	FALSE
1	4.564348	FALSE	6.506501	6.959049	FALSE	10.3	"excellent"	9.573422	1.386294	14	17.27721	"female"	TRUE	FALSE
9	4.564348	FALSE	6.506501	6.959049	TRUE	11.84267	"excellent"	9.573422	1.386294	14	11.54278	"male"	TRUE	FALSE
2	4.564348	FALSE	6.506501	6.959049	TRUE	11.84267	"excellent"	9.573422	1.386294	14	12.54278	"male"	TRUE	FALSE
4	4.564348	FALSE	6.506501	6.959049	TRUE	11.84267	"excellent"	9.573422	1.386294	14	13.54278	"male"	TRUE	FALSE
1	4.564348	FALSE	6.506501	6.959049	FALSE	17.2	"excellent"	9.573422	1.386294	14	44.41615	"male"	FALSE	FALSE
3	4.564348	FALSE	6.506501	6.959049	FALSE	17.2	"excellent"	9.573422	1.386294	14	45.41615	"male"	FALSE	FALSE
1	4.564348	FALSE	6.506501	6.959049	FALSE	17.2	"excellent"	9.573422	1.386294	14	46.41615	"male"	FALSE	FALSE
7	4.564348	FALSE	6.506501	6.959049	FALSE	27.6	"excellent"	9.573422	1.386294	14	39.66598	"female"	FALSE	FALSE
55	4.564348	FALSE	6.506501	6.959049	FALSE	27.6	"excellent"	9.573422	1.386294	14	40.66598	"female"	FALSE	FALSE
3	4.564348	FALSE	6.506501	6.959049	FALSE	27.6	"excellent"	9.573422	1.386294	14	41.66598	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	0	"good"	8.088295	0	12	24.11773	"male"	FALSE	FALSE
14	4.564348	TRUE	0	5.061929	TRUE	24.1	"good"	7.471036	0	12	20.12047	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	TRUE	24.1	"good"	7.471036	0	12	21.12047	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	24.1	"good"	7.471036	0	12	22.12047	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	4.150582	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	5.150582	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	6.150582	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	7.150582	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	8.150581	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	7.088295	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	8.088296	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	9.088296	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	10.0883	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.498171	1.386294	12	11.0883	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.498171	1.386294	12	27.40589	"female"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.498171	1.386294	12	28.40589	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.498171	1.386294	12	29.40589	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.498171	1.386294	12	30.40589	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.498171	1.386294	12	31.40589	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.498171	1.386294	12	34.18754	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.498171	1.386294	12	35.18754	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.498171	1.386294	12	36.18754	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.498171	1.386294	12	37.18754	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.498171	1.386294	12	38.18754	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.609438	12	11.35661	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.609438	12	12.35661	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	13.35661	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	14.35661	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	15.35661	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.97745	1.609438	14	37.7796	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.97745	1.609438	14	38.7796	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.97745	1.791759	14	39.7796	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.97745	1.791759	14	40.7796	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.97745	1.791759	14	41.7796	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.97745	1.609438	12	35.75633	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.97745	1.609438	12	36.75633	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.97745	1.791759	12	37.75633	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.97745	1.791759	12	38.75633	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.97745	1.791759	12	39.75633	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.609438	12	8.109514	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.609438	12	9.109514	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	10.10951	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	11.10951	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	12.10951	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.609438	12	1.960301	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.609438	12	2.960301	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	3.960301	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	4.960301	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.97745	1.791759	12	5.960301	"male"	TRUE	FALSE
3	0	FALSE	6.282566	0	FALSE	11.84267	"excellent"	9.550522	1.386294	12	7.216975	"female"	TRUE	FALSE
2	0	FALSE	6.282566	0	FALSE	11.84267	"excellent"	9.550522	1.386294	12	8.216974	"female"	TRUE	FALSE
0	0	FALSE	6.282566	0	FALSE	11.84267	"excellent"	9.550522	1.386294	12	9.216974	"female"	TRUE	FALSE
1	0	FALSE	6.282566	0	FALSE	6.9	"excellent"	9.550522	1.386294	12	17.04038	"male"	TRUE	FALSE
0	0	FALSE	6.282566	0	FALSE	6.9	"excellent"	9.550522	1.386294	12	18.04038	"male"	FALSE	FALSE
3	0	FALSE	6.282566	0	FALSE	6.9	"excellent"	9.550522	1.386294	12	19.04038	"male"	FALSE	FALSE
1	0	FALSE	6.282566	0	FALSE	6.9	"good"	9.550522	1.386294	12	42.25873	"male"	FALSE	FALSE
0	0	FALSE	6.282566	0	FALSE	6.9	"good"	9.550522	1.386294	12	43.25873	"male"	FALSE	FALSE
1	0	FALSE	6.282566	0	FALSE	6.9	"good"	9.550522	1.386294	12	44.25873	"male"	FALSE	FALSE
7	0	FALSE	6.282566	0	FALSE	3.4	"good"	9.550522	1.386294	12	40.2601	"female"	FALSE	FALSE
7	0	FALSE	6.282566	0	FALSE	3.4	"good"	9.550522	1.386294	12	41.2601	"female"	FALSE	FALSE
3	0	FALSE	6.282566	0	FALSE	3.4	"good"	9.550522	1.386294	12	42.2601	"female"	FALSE	FALSE
14	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	9.40097	0	13	58.49418	"male"	FALSE	FALSE
7	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	9.40097	0	13	59.49418	"male"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	9.40097	0	13	60.49418	"male"	FALSE	FALSE
3	4.564348	FALSE	5.164786	5.216079	FALSE	6.9	"excellent"	8.342938	0	12	19.64956	"female"	FALSE	FALSE
5	4.564348	FALSE	5.164786	5.216079	FALSE	6.9	"excellent"	8.342938	0	12	20.64956	"female"	FALSE	FALSE
0	4.564348	FALSE	5.164786	5.216079	FALSE	6.9	"excellent"	8.342938	0	12	21.64956	"female"	FALSE	FALSE
1	4.564348	FALSE	5.164786	5.216079	FALSE	6.9	"excellent"	8.342938	0	12	22.64956	"female"	FALSE	FALSE
1	4.564348	FALSE	5.164786	5.216079	FALSE	6.9	"excellent"	8.342938	0	12	23.64956	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.187364	1.386294	12	29.36071	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.187364	1.386294	12	30.36071	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.187364	1.386294	12	31.36071	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.187364	1.386294	8	24.79124	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.187364	1.386294	8	25.79124	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.187364	1.386294	8	26.79124	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.187364	1.386294	8	6.551677	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.187364	1.386294	8	7.551677	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.187364	1.386294	8	8.551677	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.187364	1.386294	8	2.223135	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.187364	1.386294	8	3.223135	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.187364	1.386294	8	4.223135	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	9.067237	0.6931472	16	52.3614	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.067237	0.6931472	12	60.39699	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.249375	1.098612	13	29.50582	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.249375	1.098612	13	30.50582	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	9.249375	1.098612	13	31.50582	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.249375	1.098612	14	1.752224	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.249375	1.098612	14	2.752224	"female"	TRUE	FALSE
8	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.249375	1.098612	14	3.752224	"female"	TRUE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"good"	9.249375	1.098612	14	26.89665	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"good"	9.249375	1.098612	14	27.89665	"female"	FALSE	FALSE
7	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"good"	9.249375	1.098612	14	28.89665	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.715775	1.098612	12	42.86927	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.715775	1.098612	12	43.86927	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	8.715775	1.098612	12	44.86927	"male"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"fair"	8.715775	1.098612	10	42.14648	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"fair"	8.715775	1.098612	10	43.14648	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	TRUE	13.8	"fair"	8.715775	1.098612	10	44.14648	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"excellent"	8.715775	1.098612	10	15.74812	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"excellent"	8.715775	1.098612	10	16.74812	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"excellent"	8.715775	1.098612	10	17.74812	"male"	TRUE	FALSE
2	3.258096	FALSE	0	7.832014	FALSE	13.8	"good"	9.067237	0	10	20.6653	"male"	FALSE	FALSE
1	3.258096	FALSE	0	7.832014	FALSE	13.8	"good"	9.067237	0	10	21.6653	"male"	FALSE	FALSE
0	3.258096	FALSE	0	7.832014	FALSE	13.8	"good"	9.067237	0	10	22.6653	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	17.2	"good"	8.240318	0	17	25.74675	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	17.2	"good"	8.240318	0	17	26.74675	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	17.2	"good"	8.240318	0	17	27.74675	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	8.223307	0	12	24.20808	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	8.223307	0	12	25.20808	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	8.223307	0	12	26.20808	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	7.897461	0	15	24.93908	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	7.897461	0	15	25.93908	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	TRUE	13.8	"fair"	7.897461	0	15	26.93908	"male"	FALSE	FALSE
3	0	FALSE	4.587006	0	FALSE	10.3	"excellent"	8.86348	1.098612	14	20.70089	"female"	FALSE	FALSE
3	0	FALSE	4.587006	0	FALSE	10.3	"excellent"	8.86348	1.098612	14	21.70089	"female"	FALSE	FALSE
6	0	FALSE	4.587006	0	FALSE	10.3	"excellent"	8.86348	1.098612	14	22.70089	"female"	FALSE	FALSE
1	0	FALSE	4.587006	0	FALSE	6.9	"good"	8.86348	1.098612	14	22.65024	"male"	FALSE	FALSE
0	0	FALSE	4.587006	0	FALSE	6.9	"good"	8.86348	1.098612	14	23.65024	"male"	FALSE	FALSE
5	0	FALSE	4.587006	0	FALSE	6.9	"good"	8.86348	1.098612	14	24.65024	"male"	FALSE	FALSE
0	4.564348	FALSE	0	4.145638	TRUE	17.2	"excellent"	9.067237	0	12	26.28884	"male"	FALSE	FALSE
0	4.564348	FALSE	0	4.145638	TRUE	17.2	"excellent"	9.067237	0	12	27.28884	"male"	FALSE	FALSE
5	0	FALSE	5.962654	0	FALSE	13.8	"excellent"	9.373252	1.098612	16	29.02122	"male"	FALSE	FALSE
6	0	FALSE	5.962654	0	FALSE	13.8	"excellent"	9.373252	1.386294	16	30.02122	"male"	FALSE	FALSE
2	0	FALSE	5.962654	0	FALSE	13.8	"excellent"	9.373252	1.386294	16	31.02122	"male"	FALSE	FALSE
5	0	FALSE	5.962654	0	FALSE	11.84267	"excellent"	9.373252	1.098612	17	1.174538	"female"	TRUE	FALSE
1	0	FALSE	5.962654	0	FALSE	11.84267	"excellent"	9.373252	1.386294	17	2.174538	"female"	TRUE	FALSE
4	0	FALSE	5.962654	0	FALSE	11.84267	"excellent"	9.373252	1.386294	17	3.174538	"female"	TRUE	FALSE
1	0	FALSE	5.962654	0	FALSE	3.4	"excellent"	9.373252	1.098612	17	29.31691	"female"	FALSE	FALSE
3	0	FALSE	5.962654	0	FALSE	3.4	"excellent"	9.373252	1.386294	17	30.31691	"female"	FALSE	FALSE
4	0	FALSE	5.962654	0	FALSE	3.4	"excellent"	9.373252	1.386294	17	31.31691	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	24.1	"excellent"	9.666268	0.6931472	12	34.9733	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	24.1	"excellent"	9.666268	0.6931472	12	35.9733	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	24.1	"excellent"	9.666268	0.6931472	12	36.9733	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.666268	0.6931472	16	31.8768	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.666268	0.6931472	16	32.8768	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.666268	0.6931472	16	33.8768	"male"	FALSE	FALSE
3	3.258096	FALSE	4.969813	7.041412	FALSE	6.9	"good"	8.169021	0	12	20.89528	"female"	FALSE	FALSE
6	3.258096	FALSE	4.969813	7.041412	FALSE	6.9	"good"	8.169021	0	12	21.89528	"female"	FALSE	FALSE
9	3.258096	FALSE	4.969813	7.041412	FALSE	6.9	"good"	8.169021	0	12	22.89528	"female"	FALSE	FALSE
0	3.258096	FALSE	0	6.579251	FALSE	13.8	"fair"	7.603159	0	12	22.97604	"male"	FALSE	FALSE
1	3.258096	FALSE	0	6.579251	FALSE	13.8	"fair"	7.603159	0	12	23.97604	"male"	FALSE	FALSE
0	3.258096	FALSE	0	6.579251	FALSE	13.8	"fair"	7.603159	0	12	24.97604	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.067237	0	12	20.62149	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.067237	0	12	21.62149	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.067237	0	12	22.62149	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.067237	0	9	19.10472	"male"	FALSE	FALSE
9	0	FALSE	4.509099	0	FALSE	13.8	"good"	9.45135	0.6931472	17	60.48186	"female"	FALSE	FALSE
12	0	FALSE	4.509099	0	FALSE	13.8	"good"	9.45135	0.6931472	17	61.48186	"female"	FALSE	FALSE
10	0	FALSE	4.509099	0	FALSE	13.8	"good"	9.45135	0.6931472	17	62.48186	"female"	FALSE	FALSE
4	0	FALSE	4.509099	0	FALSE	10.3	"good"	9.45135	0.6931472	13	60.92813	"male"	FALSE	FALSE
11	0	FALSE	4.509099	0	FALSE	10.3	"good"	9.45135	0.6931472	13	61.92813	"male"	FALSE	FALSE
9	0	FALSE	4.509099	0	FALSE	10.3	"good"	9.45135	0.6931472	13	62.92813	"male"	FALSE	FALSE
0	3.258096	FALSE	4.49981	5.886104	FALSE	6.9	"excellent"	5.864539	0	10	20.81862	"male"	FALSE	FALSE
1	3.258096	FALSE	4.49981	5.886104	FALSE	6.9	"excellent"	5.864539	0	10	21.81862	"male"	FALSE	FALSE
0	3.258096	FALSE	4.49981	5.886104	FALSE	6.9	"excellent"	5.864539	0	10	22.81862	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.473153	0.6931472	12	15.22519	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.473153	0.6931472	12	16.22519	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.473153	0.6931472	12	17.22519	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.473153	0.6931472	12	18.22519	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.473153	0.6931472	12	19.22519	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	8.473153	0.6931472	12	38.71047	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	8.473153	0.6931472	12	39.71047	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	8.473153	0.6931472	12	40.71047	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	8.473153	0.6931472	12	41.71047	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	8.473153	0.6931472	12	42.71047	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.942974	0	12	23.01437	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.942974	0	12	24.01437	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.942974	0	12	25.01437	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.942974	0	12	26.01437	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.942974	0	12	27.01437	"male"	FALSE	FALSE
1	4.564348	FALSE	0	6.165086	FALSE	13.8	"good"	9.067237	0	12	61.79877	"female"	FALSE	FALSE
9	4.564348	FALSE	0	6.165086	FALSE	13.8	"good"	9.067237	0	12	62.79877	"female"	FALSE	FALSE
11	4.564348	FALSE	0	6.165086	FALSE	13.8	"good"	9.067237	0	12	63.79877	"female"	FALSE	FALSE
3	4.564348	FALSE	6.639876	6.691169	FALSE	0	"excellent"	9.056971	0.6931472	14	24.82136	"male"	FALSE	FALSE
1	4.564348	FALSE	6.639876	6.691169	FALSE	0	"excellent"	9.056971	0.6931472	14	25.82136	"male"	FALSE	FALSE
5	4.564348	FALSE	6.639876	6.691169	FALSE	0	"excellent"	9.056971	0.6931472	14	26.82136	"male"	FALSE	FALSE
2	4.564348	FALSE	6.639876	6.691169	FALSE	0	"excellent"	9.056971	0.6931472	14	27.82136	"male"	FALSE	FALSE
1	4.564348	FALSE	6.639876	6.691169	FALSE	0	"excellent"	9.056971	1.098612	14	28.82136	"male"	FALSE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.55448	1.098612	12	17.91923	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.55448	1.098612	12	18.91923	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.55448	1.098612	12	19.91923	"male"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.55448	1.098612	12	52.81041	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.55448	1.098612	12	53.81041	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.55448	1.098612	12	54.81041	"male"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.55448	1.098612	12	51.24709	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.55448	1.098612	12	52.24709	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.55448	1.098612	12	53.24709	"female"	FALSE	FALSE
11	3.258096	FALSE	4.989071	6.375365	FALSE	3.4	"excellent"	8.247791	0	12	24.45175	"male"	FALSE	FALSE
0	3.258096	FALSE	4.989071	6.375365	FALSE	3.4	"excellent"	8.247791	0	12	25.45175	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	6.9	"excellent"	9.26182	1.386294	12	14.85832	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	6.9	"excellent"	9.26182	1.386294	12	15.85832	"female"	TRUE	FALSE
13	0	FALSE	0	0	FALSE	6.9	"excellent"	9.26182	1.386294	12	16.85832	"female"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	10.3	"good"	9.26182	1.386294	12	42.41205	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	10.3	"good"	9.26182	1.386294	12	43.41205	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	10.3	"good"	9.26182	1.386294	12	44.41205	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"fair"	9.26182	1.386294	12	17.02122	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"fair"	9.26182	1.386294	12	18.02122	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"fair"	9.26182	1.386294	12	19.02122	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	6.9	"excellent"	9.26182	1.386294	12	47.28268	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	6.9	"excellent"	9.26182	1.386294	12	48.28268	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	6.9	"excellent"	9.26182	1.386294	12	49.28268	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.56958	1.609438	12	38.16838	"female"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.56958	1.609438	12	39.16838	"female"	FALSE	FALSE
6	3.258096	FALSE	6.907755	8.294049	FALSE	10.3	"good"	9.56958	1.609438	12	40.16838	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	8.161533	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	9.161533	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	10.16153	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	13.16632	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	14.16632	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	15.16632	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.56958	1.609438	17	39.32101	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.56958	1.609438	17	40.32101	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	9.56958	1.609438	17	41.32101	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	10.04517	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	11.04517	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.56958	1.609438	12	12.04517	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"excellent"	6.2894	0	17	37.54415	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"excellent"	6.2894	0	17	38.54415	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"excellent"	6.2894	0	17	39.54415	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"excellent"	6.2894	0	17	40.54415	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	37.9	"excellent"	6.2894	0	17	41.54415	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	5.976254	0	16	26.5024	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	5.976254	0	16	27.5024	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	5.976254	0	16	28.5024	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.623161	0	16	26.56263	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.623161	0	16	27.56263	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	6.623161	0	16	28.56263	"male"	FALSE	FALSE
9	4.564348	TRUE	6.289567	5.755076	TRUE	10.3	"excellent"	8.314471	0.6931472	14	49.08693	"female"	FALSE	FALSE
8	4.564348	TRUE	6.289567	5.755076	TRUE	10.3	"excellent"	8.314471	0.6931472	14	50.08693	"female"	FALSE	FALSE
10	4.564348	TRUE	6.289567	5.755076	TRUE	10.3	"excellent"	8.314471	0.6931472	14	51.08693	"female"	FALSE	FALSE
0	4.564348	TRUE	6.289567	5.755076	FALSE	10.3	"excellent"	8.314471	0.6931472	14	15.09103	"female"	TRUE	FALSE
1	4.564348	TRUE	6.289567	5.755076	FALSE	10.3	"excellent"	8.314471	0.6931472	14	16.09103	"female"	TRUE	FALSE
0	4.564348	TRUE	6.289567	5.755076	FALSE	10.3	"excellent"	8.314471	0.6931472	14	17.09103	"female"	TRUE	FALSE
2	0	FALSE	5.949705	0	FALSE	24.1	"excellent"	9.003392	1.609438	12	28.69268	"female"	FALSE	FALSE
5	0	FALSE	5.949705	0	FALSE	24.1	"excellent"	9.003392	1.609438	12	29.69268	"female"	FALSE	FALSE
3	0	FALSE	5.949705	0	FALSE	24.1	"excellent"	9.003392	1.609438	12	30.69268	"female"	FALSE	FALSE
2	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	4.720055	"male"	TRUE	FALSE
1	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	5.720055	"male"	TRUE	FALSE
4	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	6.720055	"male"	TRUE	FALSE
3	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	3.310062	"female"	TRUE	FALSE
2	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	4.310061	"female"	TRUE	FALSE
1	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	5.310061	"female"	TRUE	FALSE
2	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	3.310062	"female"	TRUE	FALSE
1	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	4.310061	"female"	TRUE	FALSE
1	0	FALSE	5.949705	0	FALSE	11.84267	"excellent"	9.003392	1.609438	12	5.310061	"female"	TRUE	FALSE
6	0	FALSE	5.949705	0	FALSE	10.3	"excellent"	9.003392	1.609438	14	28.26831	"male"	FALSE	FALSE
7	0	FALSE	5.949705	0	FALSE	10.3	"excellent"	9.003392	1.609438	14	29.26831	"male"	FALSE	FALSE
6	0	FALSE	5.949705	0	FALSE	10.3	"excellent"	9.003392	1.609438	14	30.26831	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	9.624785	1.609438	12	37.26215	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	10.3	"good"	9.624785	1.609438	12	38.26215	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	9.624785	1.609438	12	39.26215	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"good"	9.624785	1.609438	12	7.657769	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.624785	1.609438	12	8.657768	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.624785	1.609438	12	9.657768	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	9.624785	1.609438	12	39.8768	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	9.624785	1.609438	12	40.8768	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.624785	1.609438	12	41.8768	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	9.624785	1.609438	11	18.91855	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	9.624785	1.609438	11	19.91855	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	9.624785	1.609438	11	20.91855	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.624785	1.609438	12	12.43532	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.624785	1.609438	12	13.43532	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.624785	1.609438	12	14.43532	"male"	TRUE	FALSE
1	3.258096	FALSE	6.39693	7.783224	FALSE	13.8	"excellent"	9.067237	0.6931472	12	23.38398	"female"	FALSE	FALSE
3	3.258096	FALSE	6.39693	7.783224	FALSE	13.8	"excellent"	9.067237	0.6931472	12	24.38398	"female"	FALSE	FALSE
0	3.258096	FALSE	6.39693	7.783224	FALSE	11.84267	"excellent"	9.067237	0.6931472	12	5.234771	"female"	TRUE	FALSE
0	3.258096	FALSE	6.39693	7.783224	FALSE	11.84267	"excellent"	9.067237	0.6931472	12	6.234771	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	14.77892	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	15.77892	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	16.77892	"female"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	17.77892	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	18.77892	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.514789	1.098612	15	36.98015	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.514789	1.098612	15	37.98015	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.514789	1.098612	15	38.98015	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.514789	1.098612	15	39.98015	"male"	FALSE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.514789	1.098612	15	40.98015	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	34.78439	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	35.78439	"female"	FALSE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	36.78439	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	37.78439	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.514789	1.098612	12	38.78439	"female"	FALSE	FALSE
12	4.564348	TRUE	5.703783	5.755076	TRUE	3.4	"excellent"	8.800205	0.6931472	12	32.19439	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	3.4	"excellent"	8.800205	0.6931472	12	33.19439	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	3.4	"excellent"	8.800205	0.6931472	12	34.19439	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	3.4	"excellent"	8.800205	0.6931472	12	35.19439	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	TRUE	3.4	"excellent"	8.800205	0.6931472	12	36.19439	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.800205	0.6931472	14	30.75975	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.800205	0.6931472	14	31.75975	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.800205	0.6931472	14	32.75975	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.800205	0.6931472	14	33.75975	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.800205	0.6931472	14	34.75975	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.520353	1.791759	11	15.89322	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.520353	1.609438	11	16.89322	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.520353	1.609438	11	17.89322	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	10.3	"good"	9.520353	1.791759	11	37.32512	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	9.520353	1.609438	11	38.32512	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.520353	1.609438	11	39.32512	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"excellent"	9.520353	1.791759	11	14.40931	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.520353	1.609438	11	15.40931	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.520353	1.609438	11	16.40931	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.520353	1.791759	15	38.75702	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.520353	1.609438	15	39.75702	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.520353	1.609438	15	40.75702	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.520353	1.791759	11	13.33881	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.520353	1.609438	11	14.33881	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	9.520353	1.609438	11	15.33881	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.520353	1.791759	11	8.536619	"male"	TRUE	FALSE
5	0	FALSE	5.455321	0	FALSE	24.1	"fair"	7.976544	1.098612	8	18.06981	"female"	FALSE	FALSE
8	0	FALSE	5.455321	0	FALSE	24.1	"fair"	7.976544	1.098612	8	19.06981	"female"	FALSE	FALSE
9	0	FALSE	5.455321	0	FALSE	24.1	"fair"	7.976544	1.098612	8	20.06981	"female"	FALSE	FALSE
11	0	FALSE	5.455321	0	TRUE	20.7	"excellent"	7.976544	1.098612	9	21.91102	"male"	FALSE	FALSE
9	0	FALSE	5.455321	0	TRUE	20.7	"excellent"	7.976544	1.098612	9	22.91102	"male"	FALSE	FALSE
4	0	FALSE	5.455321	0	TRUE	20.7	"excellent"	7.976544	1.098612	9	23.91102	"male"	FALSE	FALSE
6	0	FALSE	5.455321	0	FALSE	11.84267	"excellent"	7.976544	1.098612	8	1.138946	"male"	TRUE	FALSE
2	0	FALSE	5.455321	0	FALSE	11.84267	"excellent"	7.976544	1.098612	8	2.138946	"male"	TRUE	FALSE
1	0	FALSE	5.455321	0	FALSE	11.84267	"excellent"	7.976544	1.098612	8	3.138946	"male"	TRUE	FALSE
4	0	FALSE	6.378766	0	FALSE	0	"excellent"	9.71637	0.6931472	16	54.94867	"male"	FALSE	FALSE
2	0	FALSE	6.378766	0	FALSE	0	"excellent"	9.71637	0.6931472	16	55.94867	"male"	FALSE	FALSE
4	0	FALSE	6.378766	0	FALSE	0	"excellent"	9.71637	0.6931472	16	56.94867	"male"	FALSE	FALSE
6	0	FALSE	6.378766	0	TRUE	10.3	"excellent"	9.71637	0.6931472	12	51.43053	"female"	FALSE	FALSE
2	0	FALSE	6.378766	0	TRUE	10.3	"excellent"	9.71637	0.6931472	12	52.43053	"female"	FALSE	FALSE
3	0	FALSE	6.378766	0	TRUE	10.3	"excellent"	9.71637	0.6931472	12	53.43053	"female"	FALSE	FALSE
1	4.564348	TRUE	6.249125	6.160541	FALSE	24.1	"good"	9.067237	1.386294	12	35.154	"female"	FALSE	FALSE
6	4.564348	TRUE	6.249125	6.160541	FALSE	24.1	"good"	9.067237	1.386294	12	36.154	"female"	FALSE	FALSE
24	4.564348	TRUE	6.249125	6.160541	FALSE	24.1	"good"	9.067237	1.386294	12	37.154	"female"	FALSE	FALSE
2	4.564348	TRUE	6.249125	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	9.190965	"female"	TRUE	FALSE
1	4.564348	TRUE	6.249125	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	10.19096	"female"	TRUE	FALSE
5	4.564348	TRUE	6.249125	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	11.19096	"female"	TRUE	FALSE
0	4.564348	TRUE	6.249125	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	13	33.48939	"male"	FALSE	FALSE
0	4.564348	TRUE	6.249125	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	13	34.48939	"male"	FALSE	FALSE
3	4.564348	TRUE	6.249125	6.160541	FALSE	6.9	"excellent"	9.067237	1.386294	13	35.48939	"male"	FALSE	FALSE
0	4.564348	TRUE	6.249125	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	7.353867	"male"	TRUE	FALSE
2	4.564348	TRUE	6.249125	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	8.353868	"male"	TRUE	FALSE
1	4.564348	TRUE	6.249125	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	9.353868	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"excellent"	8.90309	0	12	29.04312	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"excellent"	8.90309	0	12	30.04312	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	8.90309	0	12	31.04312	"male"	FALSE	FALSE
1	3.258096	FALSE	6.43575	7.693937	TRUE	24.1	"good"	9.067237	1.098612	16	27.47707	"female"	FALSE	FALSE
0	3.258096	FALSE	6.43575	7.693937	TRUE	24.1	"good"	9.067237	1.386294	16	28.47707	"female"	FALSE	FALSE
0	3.258096	FALSE	6.43575	7.693937	TRUE	24.1	"good"	9.067237	1.386294	16	29.47707	"female"	FALSE	FALSE
2	3.258096	FALSE	6.43575	7.693937	TRUE	13.8	"good"	9.067237	1.098612	16	29.16632	"male"	FALSE	FALSE
1	3.258096	FALSE	6.43575	7.693937	TRUE	13.8	"good"	9.067237	1.386294	16	30.16632	"male"	FALSE	FALSE
0	3.258096	FALSE	6.43575	7.693937	TRUE	13.8	"good"	9.067237	1.386294	16	31.16632	"male"	FALSE	FALSE
1	3.258096	FALSE	6.43575	7.693937	FALSE	11.84267	"excellent"	9.067237	1.098612	16	2.01232	"male"	TRUE	FALSE
2	3.258096	FALSE	6.43575	7.693937	FALSE	11.84267	"excellent"	9.067237	1.386294	16	3.01232	"male"	TRUE	FALSE
1	3.258096	FALSE	6.43575	7.693937	FALSE	11.84267	"excellent"	9.067237	1.386294	16	4.012321	"male"	TRUE	FALSE
3	4.564348	FALSE	5.956356	6.007648	FALSE	13.8	"excellent"	8.292686	0	12	41.71115	"male"	FALSE	FALSE
0	4.564348	FALSE	5.956356	6.007648	FALSE	13.8	"excellent"	8.292686	0	12	42.71115	"male"	FALSE	FALSE
0	4.564348	TRUE	3.648839	5.061929	FALSE	0	"good"	8.923924	0	12	36.45722	"male"	FALSE	FALSE
0	4.564348	TRUE	3.648839	5.061929	FALSE	0	"good"	8.923924	0	12	37.45722	"male"	FALSE	FALSE
0	4.564348	TRUE	3.648839	5.061929	FALSE	0	"good"	8.923924	0	12	38.45722	"male"	FALSE	FALSE
0	4.564348	TRUE	3.648839	5.061929	FALSE	0	"good"	8.923924	0	12	39.45722	"male"	FALSE	FALSE
0	4.564348	TRUE	3.648839	5.061929	FALSE	0	"good"	8.923924	0	12	40.45722	"male"	FALSE	FALSE
0	0	FALSE	5.244916	0	FALSE	24.1	"good"	6.960145	0	12	22.99247	"male"	FALSE	FALSE
2	0	FALSE	5.244916	0	FALSE	24.1	"good"	6.960145	0	12	23.99247	"male"	FALSE	FALSE
0	0	FALSE	5.244916	0	FALSE	24.1	"good"	6.960145	0	12	24.99247	"male"	FALSE	FALSE
0	0	FALSE	5.244916	0	FALSE	24.1	"good"	6.960145	0	12	25.99247	"male"	FALSE	FALSE
1	0	FALSE	5.244916	0	FALSE	24.1	"good"	6.960145	0	12	26.99247	"male"	FALSE	FALSE
6	0	FALSE	4.896346	0	FALSE	17.2	"good"	9.067237	0	12	21.65366	"female"	FALSE	FALSE
2	0	FALSE	4.896346	0	FALSE	17.2	"good"	9.067237	0	12	22.65366	"female"	FALSE	FALSE
1	0	FALSE	4.896346	0	FALSE	17.2	"good"	9.067237	0	12	23.65366	"female"	FALSE	FALSE
1	0	FALSE	4.896346	0	FALSE	17.2	"good"	9.067237	0	12	24.65366	"female"	FALSE	FALSE
3	0	FALSE	4.896346	0	FALSE	17.2	"good"	9.067237	0	12	25.65366	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	0.6931472	0	13	25.68925	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	0.6931472	0	13	26.68925	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	0.6931472	0	13	27.68925	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	0.6931472	0	13	28.68925	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	0.6931472	0	13	29.68925	"male"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	13.8	"good"	5.993961	0	12	22.72142	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	13.8	"good"	5.993961	0	12	23.72142	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	13.8	"good"	5.993961	0	12	24.72142	"female"	FALSE	FALSE
11	0	FALSE	0	0	TRUE	13.8	"good"	5.993961	0	12	25.72142	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	13.8	"good"	5.993961	0	12	26.72142	"female"	FALSE	FALSE
1	3.258096	FALSE	5.783825	7.17012	TRUE	17.2	"good"	8.311738	0	13	54.91034	"female"	FALSE	FALSE
2	3.258096	FALSE	0	6.329008	FALSE	20.7	"good"	7.455556	0	14	26.54894	"female"	FALSE	FALSE
2	3.258096	FALSE	0	6.329008	FALSE	20.7	"good"	7.455556	0	14	27.54894	"female"	FALSE	FALSE
5	3.258096	FALSE	0	6.329008	FALSE	20.7	"good"	7.455556	0	14	28.54894	"female"	FALSE	FALSE
4	3.258096	FALSE	0	6.329008	FALSE	20.7	"good"	7.455556	0	14	29.54894	"female"	FALSE	FALSE
1	3.258096	FALSE	0	6.329008	FALSE	20.7	"good"	7.455556	0	14	30.54894	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	7.763656	0	15	25.0486	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.763656	0	15	26.0486	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.763656	0	15	27.0486	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.821943	1.098612	12	15.80835	"female"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.821943	1.098612	12	16.80835	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.821943	1.098612	12	17.80835	"female"	TRUE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.821943	1.098612	12	18.80835	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.821943	0.6931472	12	19.80835	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	FALSE	3.4	"excellent"	9.067237	0	12	23.5373	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"excellent"	9.067237	0	12	24.5373	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"excellent"	9.067237	0	12	25.5373	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	3.4	"excellent"	9.067237	0	12	26.5373	"male"	FALSE	FALSE
14	4.564348	FALSE	0	5.435788	FALSE	3.4	"excellent"	8.430198	0.6931472	12	22.13552	"female"	FALSE	FALSE
9	4.564348	FALSE	0	5.435788	FALSE	3.4	"excellent"	8.430198	0.6931472	12	23.13552	"female"	FALSE	FALSE
23	4.564348	FALSE	0	5.435788	FALSE	3.4	"excellent"	8.430198	0.6931472	12	24.13552	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	42.37645	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	43.37645	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	44.37645	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	45.37645	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.791759	12	46.37645	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	14.93498	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	15.93498	"male"	TRUE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	16.93498	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.609438	12	17.93498	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.467853	1.791759	12	18.93498	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.467853	1.609438	12	49.37988	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.467853	1.609438	12	50.37988	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.467853	1.609438	12	51.37988	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.467853	1.609438	12	52.37988	"male"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.467853	1.791759	12	53.37988	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.467853	1.609438	11	18.40931	"male"	FALSE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.467853	1.609438	11	19.40931	"male"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.467853	1.609438	11	20.40931	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.467853	1.609438	11	21.40931	"male"	FALSE	FALSE
14	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.467853	1.791759	11	22.40931	"male"	FALSE	FALSE
5	3.258096	FALSE	6.114788	7.501082	FALSE	17.2	"excellent"	8.662443	0	14	32.07666	"male"	FALSE	FALSE
12	3.258096	FALSE	6.114788	7.501082	FALSE	17.2	"excellent"	8.662443	0	14	33.07666	"male"	FALSE	FALSE
21	3.258096	FALSE	6.114788	7.501082	FALSE	17.2	"excellent"	8.662443	0	14	34.07666	"male"	FALSE	FALSE
0	0	FALSE	4.189655	0	FALSE	11.84267	"excellent"	8.634776	1.098612	14	4.281999	"female"	TRUE	FALSE
1	0	FALSE	4.189655	0	FALSE	11.84267	"excellent"	8.634776	1.098612	14	5.281999	"female"	TRUE	FALSE
1	0	FALSE	4.189655	0	FALSE	11.84267	"excellent"	8.634776	1.098612	14	6.281999	"female"	TRUE	FALSE
1	0	FALSE	4.189655	0	FALSE	11.84267	"good"	8.634776	1.098612	14	7.397673	"female"	TRUE	FALSE
2	0	FALSE	4.189655	0	FALSE	11.84267	"good"	8.634776	1.098612	14	8.397673	"female"	TRUE	FALSE
6	0	FALSE	4.189655	0	FALSE	11.84267	"good"	8.634776	1.098612	14	9.397673	"female"	TRUE	FALSE
5	0	FALSE	4.189655	0	FALSE	13.8	"excellent"	8.634776	1.098612	14	29.56058	"female"	FALSE	FALSE
2	0	FALSE	4.189655	0	FALSE	13.8	"excellent"	8.634776	1.098612	14	30.56058	"female"	FALSE	FALSE
4	0	FALSE	4.189655	0	FALSE	13.8	"excellent"	8.634776	1.098612	14	31.56058	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"good"	8.993814	1.098612	12	7.23614	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"good"	8.993814	0.6931472	12	8.236139	"male"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	11.84267	"good"	8.993814	0.6931472	12	9.236139	"male"	TRUE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	11.84267	"good"	8.993814	0.6931472	12	10.23614	"male"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	11.84267	"good"	8.993814	0.6931472	12	11.23614	"male"	TRUE	FALSE
3	4.564348	TRUE	0	6.160541	TRUE	6.9	"good"	8.993814	1.098612	12	34.17112	"female"	FALSE	FALSE
5	4.564348	TRUE	0	6.160541	TRUE	6.9	"good"	8.993814	0.6931472	12	35.17112	"female"	FALSE	FALSE
4	4.564348	TRUE	0	6.160541	TRUE	6.9	"good"	8.993814	0.6931472	12	36.17112	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	TRUE	6.9	"good"	8.993814	0.6931472	12	37.17112	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	TRUE	6.9	"good"	8.993814	0.6931472	12	38.17112	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"good"	8.993814	1.098612	12	4.914442	"female"	TRUE	FALSE
15	0	FALSE	0	0	TRUE	20.7	"good"	9.067237	1.386294	7	35.87406	"female"	FALSE	TRUE
9	0	FALSE	0	0	TRUE	20.7	"good"	9.067237	1.386294	7	36.87406	"female"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	20.7	"good"	9.067237	1.386294	7	37.87406	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	1.386294	7	12.91718	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	1.386294	7	13.91718	"female"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	1.386294	7	14.91718	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	9.067237	1.386294	16	46.60643	"male"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	10.3	"fair"	9.067237	1.386294	16	47.60643	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	9.067237	1.386294	16	48.60643	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.067237	1.386294	7	14.41205	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.067237	1.386294	7	15.41205	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.067237	1.386294	7	16.41205	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.070081	0.6931472	9	23.53456	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.070081	0.6931472	9	24.53456	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.070081	0.6931472	9	25.53456	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"good"	9.070081	0.6931472	12	20.52567	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"good"	9.070081	0.6931472	12	21.52567	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"good"	9.070081	0.6931472	12	22.52567	"female"	FALSE	FALSE
21	4.564348	TRUE	6.86943	5.755076	TRUE	20.7	"fair"	9.274991	0.6931472	16	61.66461	"male"	FALSE	FALSE
41	4.564348	TRUE	6.86943	5.755076	TRUE	20.7	"fair"	9.274991	0.6931472	16	62.66461	"male"	FALSE	FALSE
25	4.564348	TRUE	6.86943	5.755076	TRUE	20.7	"fair"	9.274991	0.6931472	16	63.66461	"male"	FALSE	FALSE
1	4.564348	TRUE	6.86943	5.755076	TRUE	17.2	"excellent"	9.274991	0.6931472	13	58.00137	"female"	FALSE	FALSE
1	4.564348	TRUE	6.86943	5.755076	TRUE	17.2	"excellent"	9.274991	0.6931472	13	59.00137	"female"	FALSE	FALSE
1	4.564348	TRUE	6.86943	5.755076	TRUE	17.2	"excellent"	9.274991	0.6931472	13	60.00137	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.118682	1.386294	16	8.936345	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.118682	1.386294	16	9.936345	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.118682	1.386294	16	10.93635	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.118682	1.386294	17	34.4887	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.118682	1.386294	17	35.4887	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.118682	1.386294	17	36.4887	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.118682	1.386294	16	5.407255	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.118682	1.386294	16	6.407255	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"excellent"	9.118682	1.386294	16	7.407255	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.118682	1.386294	16	34.34086	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.118682	1.386294	16	35.34086	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.118682	1.386294	16	36.34086	"female"	FALSE	FALSE
0	3.258096	FALSE	4.382027	8.294049	FALSE	6.9	"excellent"	9.581346	1.098612	16	15.66598	"male"	TRUE	FALSE
1	3.258096	FALSE	4.382027	8.294049	FALSE	6.9	"excellent"	9.581346	1.098612	16	16.66598	"male"	TRUE	FALSE
1	3.258096	FALSE	4.382027	8.294049	FALSE	6.9	"excellent"	9.581346	1.098612	16	17.66598	"male"	TRUE	FALSE
0	3.258096	FALSE	4.382027	8.294049	FALSE	6.9	"excellent"	9.581346	1.098612	16	18.66598	"male"	FALSE	FALSE
0	3.258096	FALSE	4.382027	8.294049	FALSE	6.9	"excellent"	9.581346	1.098612	16	19.66598	"male"	FALSE	FALSE
0	3.258096	FALSE	4.382027	8.294049	FALSE	3.4	"excellent"	9.581346	1.098612	16	49.69747	"male"	FALSE	FALSE
2	3.258096	FALSE	4.382027	8.294049	FALSE	3.4	"excellent"	9.581346	1.098612	16	50.69747	"male"	FALSE	FALSE
7	3.258096	FALSE	4.382027	8.294049	FALSE	3.4	"excellent"	9.581346	1.098612	16	51.69747	"male"	FALSE	FALSE
3	3.258096	FALSE	4.382027	8.294049	FALSE	3.4	"excellent"	9.581346	1.098612	16	52.69747	"male"	FALSE	FALSE
0	3.258096	FALSE	4.382027	8.294049	FALSE	3.4	"excellent"	9.581346	1.098612	16	53.69747	"male"	FALSE	FALSE
0	3.258096	FALSE	4.382027	8.294049	FALSE	17.2	"excellent"	9.581346	1.098612	16	48.98837	"female"	FALSE	FALSE
5	3.258096	FALSE	4.382027	8.294049	FALSE	17.2	"excellent"	9.581346	1.098612	16	49.98837	"female"	FALSE	FALSE
8	3.258096	FALSE	4.382027	8.294049	FALSE	17.2	"excellent"	9.581346	1.098612	16	50.98837	"female"	FALSE	FALSE
2	3.258096	FALSE	4.382027	8.294049	FALSE	17.2	"excellent"	9.581346	1.098612	16	51.98837	"female"	FALSE	FALSE
1	3.258096	FALSE	4.382027	8.294049	FALSE	17.2	"excellent"	9.581346	1.098612	16	52.98837	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	10.3	"excellent"	7.882858	0.6931472	12	51.57016	"female"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	10.3	"excellent"	7.882858	0.6931472	12	52.57016	"female"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	10.3	"excellent"	7.882858	0.6931472	12	53.57016	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"good"	9.067237	0	11	20.90075	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	10.3	"good"	7.097239	0	12	20.73922	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	10.3	"good"	7.097239	0	12	21.73922	"female"	FALSE	FALSE
10	4.564348	TRUE	0	5.061929	FALSE	10.3	"good"	7.097239	0	12	22.73922	"female"	FALSE	FALSE
4	4.564348	TRUE	0	5.061929	FALSE	10.3	"good"	7.097239	0	12	23.73922	"female"	FALSE	FALSE
4	4.564348	TRUE	0	5.061929	FALSE	10.3	"good"	7.097239	0	12	24.73922	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	20.7	"fair"	9.270638	1.386294	12	54.38467	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"fair"	9.270638	1.386294	12	55.38467	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	20.7	"fair"	9.270638	1.386294	12	56.38467	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	20.7	"fair"	9.270638	1.386294	12	57.38467	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"good"	9.270638	1.386294	12	11.34839	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"good"	9.270638	1.386294	12	12.34839	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"good"	9.270638	1.386294	12	13.34839	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	11.84267	"good"	9.270638	1.386294	12	14.34839	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"good"	9.270638	1.098612	12	15.34839	"female"	TRUE	FALSE
19	0	FALSE	0	0	FALSE	24.1	"poor"	9.270638	1.386294	12	47.2334	"female"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	24.1	"poor"	9.270638	1.386294	12	48.2334	"female"	FALSE	FALSE
23	0	FALSE	0	0	FALSE	24.1	"poor"	9.270638	1.386294	12	49.2334	"female"	FALSE	FALSE
23	0	FALSE	0	0	FALSE	24.1	"poor"	9.270638	1.386294	12	50.2334	"female"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	24.1	"poor"	9.270638	1.098612	12	51.2334	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	13.8	"excellent"	9.08913	1.386294	13	16.8104	"female"	TRUE	FALSE
9	0	FALSE	0	0	TRUE	13.8	"excellent"	9.08913	1.386294	13	17.8104	"female"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	13.8	"excellent"	9.08913	1.386294	13	18.8104	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	9.08913	1.386294	13	14.41205	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	6.9	"excellent"	9.08913	1.386294	13	15.41205	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	6.9	"excellent"	9.08913	1.386294	13	16.41205	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.08913	1.386294	12	24.44079	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.08913	1.386294	12	25.44079	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.08913	1.386294	12	26.44079	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	9.08913	1.386294	13	62.27515	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	9.08913	1.386294	13	63.27515	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	9.08913	1.386294	13	64.27515	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	9.009864	0	16	50.66667	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.009864	0	16	51.66667	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.009864	0	16	52.66667	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"good"	9.009864	0	16	53.66667	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.009864	0	16	54.66667	"male"	FALSE	FALSE
0	4.564348	FALSE	5.247024	5.298317	FALSE	0	"excellent"	9.067237	0	11	19.27721	"male"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	0	"excellent"	9.067237	0	16	27.19233	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	0	"excellent"	9.067237	0	16	28.19233	"male"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	0	"excellent"	9.067237	0	16	29.19233	"male"	FALSE	FALSE
1	0	FALSE	3.401197	0	FALSE	10.3	"excellent"	8.336354	0	14	25.12252	"female"	FALSE	FALSE
4	0	FALSE	3.401197	0	FALSE	10.3	"excellent"	8.336354	0	14	26.12252	"female"	FALSE	FALSE
2	0	FALSE	3.401197	0	FALSE	10.3	"excellent"	8.336354	0	14	27.12252	"female"	FALSE	FALSE
0	3.258096	FALSE	6.351758	7.738052	TRUE	20.7	"good"	8.394506	0.6931472	8	55.83573	"female"	FALSE	FALSE
6	3.258096	FALSE	6.351758	7.738052	TRUE	20.7	"good"	8.394506	0.6931472	8	56.83573	"female"	FALSE	FALSE
4	3.258096	FALSE	6.351758	7.738052	TRUE	20.7	"good"	8.394506	0.6931472	8	57.83573	"female"	FALSE	FALSE
2	3.258096	FALSE	6.351758	7.738052	FALSE	11.84267	"excellent"	8.394506	0.6931472	8	6.321697	"male"	TRUE	FALSE
3	3.258096	FALSE	6.351758	7.738052	FALSE	11.84267	"excellent"	8.394506	0.6931472	8	7.321697	"male"	TRUE	FALSE
2	3.258096	FALSE	6.351758	7.738052	FALSE	11.84267	"excellent"	8.394506	0.6931472	8	8.321697	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	8.84624	0	12	28.03833	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	8.84624	0	12	29.03833	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.84624	0	12	30.03833	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	8.84624	0	12	31.03833	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.84624	0	12	32.03833	"male"	FALSE	FALSE
1	3.258096	FALSE	0	8.294049	FALSE	10.3	"good"	9.067237	0	12	25.76044	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.720094	1.098612	13	24.39699	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.720094	1.098612	13	25.39699	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.720094	1.098612	13	26.39699	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.720094	1.098612	13	25.35797	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.720094	1.098612	13	26.35797	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.720094	1.098612	13	27.35797	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	8.720094	1.098612	13	0.6461328	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	8.720094	1.098612	13	1.646133	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	11.84267	"good"	8.720094	1.098612	13	2.646133	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	8.901094	1.386294	12	14.423	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	8.901094	1.386294	12	15.423	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	27.6	"good"	8.901094	1.386294	12	16.99384	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	27.6	"good"	8.901094	1.386294	12	17.99384	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	27.6	"good"	8.901094	1.098612	12	18.99384	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	3.4	"poor"	8.901094	1.386294	12	39.17865	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	3.4	"poor"	8.901094	1.386294	12	40.17865	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	3.4	"poor"	8.901094	1.098612	12	41.17865	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.901094	1.386294	12	15.78645	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.901094	1.386294	12	16.78645	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.901094	1.098612	12	17.78645	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.115076	1.386294	16	11.58385	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.115076	1.386294	16	12.58385	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.115076	1.386294	16	13.58385	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.115076	1.386294	16	9.218344	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.115076	1.386294	16	10.21834	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.115076	1.386294	16	11.21834	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.115076	1.386294	16	37.24846	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.115076	1.386294	16	38.24846	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.115076	1.386294	16	39.24846	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.115076	1.386294	13	35.06366	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.115076	1.386294	13	36.06366	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.115076	1.386294	13	37.06366	"male"	FALSE	FALSE
3	4.564348	FALSE	6.645741	6.697034	FALSE	13.8	"excellent"	9.269146	1.609438	12	31.09103	"female"	FALSE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	13.8	"excellent"	9.269146	1.609438	12	32.09103	"female"	FALSE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	13.8	"excellent"	9.269146	1.609438	12	33.09103	"female"	FALSE	FALSE
3	4.564348	FALSE	6.645741	6.697034	FALSE	6.9	"excellent"	9.269146	1.609438	12	16.44353	"female"	TRUE	FALSE
1	4.564348	FALSE	6.645741	6.697034	FALSE	6.9	"excellent"	9.269146	1.609438	12	17.44353	"female"	TRUE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	6.9	"excellent"	9.269146	1.609438	12	18.44353	"female"	FALSE	FALSE
2	4.564348	FALSE	6.645741	6.697034	FALSE	0	"excellent"	9.269146	1.609438	12	38.2423	"male"	FALSE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	0	"excellent"	9.269146	1.609438	12	39.2423	"male"	FALSE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	0	"excellent"	9.269146	1.609438	12	40.2423	"male"	FALSE	FALSE
3	4.564348	FALSE	6.645741	6.697034	FALSE	17.2	"excellent"	9.269146	1.609438	12	15.41684	"female"	TRUE	FALSE
1	4.564348	FALSE	6.645741	6.697034	FALSE	17.2	"excellent"	9.269146	1.609438	12	16.41684	"female"	TRUE	FALSE
1	4.564348	FALSE	6.645741	6.697034	FALSE	17.2	"excellent"	9.269146	1.609438	12	17.41684	"female"	TRUE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	11.84267	"excellent"	9.269146	1.609438	12	13.52225	"male"	TRUE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	11.84267	"excellent"	9.269146	1.609438	12	14.52225	"male"	TRUE	FALSE
0	4.564348	FALSE	6.645741	6.697034	FALSE	11.84267	"excellent"	9.269146	1.609438	12	15.52225	"male"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.86162	0	13	35.70979	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.86162	0	13	36.70979	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.86162	0	13	37.70979	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	6.9	"excellent"	9.385781	1.386294	15	21.99589	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	FALSE	17.2	"excellent"	9.385781	1.386294	13	20.90075	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	TRUE	17.2	"excellent"	9.385781	1.386294	13	19.70979	"male"	FALSE	FALSE
0	4.564348	TRUE	5.554818	5.061929	FALSE	10.3	"poor"	9.067237	0	12	46.30253	"male"	FALSE	FALSE
2	4.564348	TRUE	5.554818	5.061929	FALSE	10.3	"poor"	9.067237	0	12	47.30253	"male"	FALSE	FALSE
1	4.564348	TRUE	5.554818	5.061929	FALSE	10.3	"poor"	9.067237	0	12	48.30253	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.602374	FALSE	3.4	"excellent"	9.067237	0	16	25.79055	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.602374	FALSE	3.4	"excellent"	9.067237	0	16	26.79055	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.602374	FALSE	3.4	"excellent"	9.067237	0	16	27.79055	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	7.642744	0	13	20.58043	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	7.642744	0	13	21.58043	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	7.642744	0	13	22.58043	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	0	"fair"	8.146802	0	13	20.15058	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	0	"fair"	8.146802	0	13	21.15058	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	0	"fair"	8.146802	0	13	22.15058	"male"	FALSE	FALSE
0	3.258096	FALSE	0	7.495542	FALSE	6.9	"good"	0.6931472	0	12	24.46817	"male"	FALSE	FALSE
7	3.258096	FALSE	0	7.495542	FALSE	6.9	"good"	0.6931472	0	12	25.46817	"male"	FALSE	FALSE
2	3.258096	FALSE	0	7.495542	FALSE	6.9	"good"	0.6931472	0	12	26.46817	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"good"	9.00577	0	16	36.98563	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"good"	9.00577	0	16	37.98563	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	24.1	"good"	9.00577	0	16	38.98563	"male"	FALSE	FALSE
1	4.564348	FALSE	0	4.807036	FALSE	6.9	"good"	9.067237	0	12	19.8193	"male"	FALSE	FALSE
5	4.564348	FALSE	0	4.807036	FALSE	6.9	"good"	9.067237	0	12	20.8193	"male"	FALSE	FALSE
0	4.564348	FALSE	0	4.807036	FALSE	6.9	"good"	9.067237	0	12	21.8193	"male"	FALSE	FALSE
7	3.258096	FALSE	0	7.552342	TRUE	6.9	"good"	7.404418	0	12	34.72416	"male"	FALSE	FALSE
1	3.258096	FALSE	0	7.552342	TRUE	6.9	"good"	7.404418	0	12	35.72416	"male"	FALSE	FALSE
1	3.258096	FALSE	0	7.552342	TRUE	6.9	"good"	7.404418	0	12	36.72416	"male"	FALSE	FALSE
7	4.564348	FALSE	5.788491	5.674408	TRUE	24.1	"good"	8.626714	0.6931472	11	18.67762	"male"	FALSE	FALSE
4	4.564348	FALSE	5.788491	5.674408	TRUE	24.1	"good"	8.626714	0.6931472	11	19.67762	"male"	FALSE	FALSE
3	4.564348	FALSE	5.788491	5.674408	TRUE	24.1	"good"	8.626714	0.6931472	11	20.67762	"male"	FALSE	FALSE
2	4.564348	FALSE	5.788491	5.674408	TRUE	27.6	"good"	8.626714	0.6931472	12	54.02327	"female"	FALSE	FALSE
6	4.564348	FALSE	5.788491	5.674408	TRUE	27.6	"good"	8.626714	0.6931472	12	55.02327	"female"	FALSE	FALSE
11	4.564348	FALSE	5.788491	5.674408	TRUE	27.6	"good"	8.626714	0.6931472	12	56.02327	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.63091	0	12	20.68994	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.63091	0	12	21.68994	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.63091	0	12	22.68994	"male"	FALSE	FALSE
12	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	0.3340178	"female"	TRUE	FALSE
8	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.386294	12	1.334018	"female"	TRUE	FALSE
6	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	2.334018	"female"	TRUE	FALSE
3	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	3.334018	"female"	TRUE	FALSE
3	4.564348	TRUE	5.617753	6.160541	FALSE	11.84267	"excellent"	9.067237	1.609438	12	4.334018	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.517393	1.609438	13	0.3477071	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.517393	1.609438	13	1.347707	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.517393	1.609438	13	2.347707	"male"	TRUE	FALSE
5	3.258096	FALSE	6.115671	7.501966	FALSE	11.84267	"excellent"	8.540235	1.386294	14	0.3696099	"female"	TRUE	FALSE
3	3.258096	FALSE	6.115671	7.501966	FALSE	11.84267	"excellent"	8.540235	1.386294	14	1.36961	"female"	TRUE	FALSE
9	3.258096	FALSE	6.115671	7.501966	FALSE	11.84267	"excellent"	8.540235	1.386294	14	2.36961	"female"	TRUE	FALSE
1	4.564348	FALSE	4.882802	4.934095	TRUE	10.3	"excellent"	8.220076	0	14	23.68789	"male"	FALSE	FALSE
0	4.564348	FALSE	4.882802	4.934095	TRUE	10.3	"excellent"	8.220076	0	14	24.68789	"male"	FALSE	FALSE
0	4.564348	FALSE	4.882802	4.934095	TRUE	10.3	"excellent"	8.220076	0	14	25.68789	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.566006	FALSE	13.8	"excellent"	9.067237	0.6931472	12.75671	28.73922	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.566006	FALSE	13.8	"excellent"	9.067237	0.6931472	12.75671	29.73922	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.566006	FALSE	13.8	"excellent"	9.067237	0.6931472	12.75671	30.73922	"female"	FALSE	TRUE
4	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.128023	1.098612	12.75671	20.71732	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.128023	1.098612	12.75671	21.71732	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.128023	1.098612	12.75671	22.71732	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.203198	1.098612	12	0.4982888	"female"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.203198	1.386294	12	1.498289	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.203198	1.386294	12	2.498289	"female"	TRUE	FALSE
2	4.564348	TRUE	6.39693	6.160541	TRUE	11.84267	"excellent"	7.95825	1.386294	12	0.4736482	"male"	TRUE	FALSE
1	4.564348	TRUE	6.39693	6.160541	TRUE	11.84267	"excellent"	7.95825	1.386294	12	1.473648	"male"	TRUE	FALSE
6	0	FALSE	6.762128	0	TRUE	11.84267	"excellent"	8.200948	1.098612	18	0.0301164	"female"	TRUE	FALSE
5	0	FALSE	6.762128	0	TRUE	11.84267	"excellent"	8.200948	1.098612	18	1.030116	"female"	TRUE	FALSE
4	0	FALSE	6.762128	0	TRUE	11.84267	"excellent"	8.200948	1.098612	18	2.030116	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.01838	1.386294	16	0.2874743	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.01838	1.386294	16	1.287474	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	11.84267	"excellent"	10.01838	1.386294	16	2.287474	"female"	TRUE	FALSE
3	0	FALSE	6.351409	0	FALSE	6.9	"excellent"	8.843535	1.386294	12.75671	32.8898	"male"	FALSE	FALSE
1	0	FALSE	6.351409	0	FALSE	6.9	"excellent"	8.843535	1.386294	12.75671	33.8898	"male"	FALSE	FALSE
0	0	FALSE	6.351409	0	FALSE	6.9	"excellent"	8.843535	1.386294	12.75671	34.8898	"male"	FALSE	FALSE
7	0	FALSE	5.871329	0	FALSE	11.84267	"excellent"	9.644014	1.098612	16	0.5995893	"male"	TRUE	FALSE
2	0	FALSE	5.871329	0	FALSE	11.84267	"excellent"	9.644014	1.386294	16	1.599589	"male"	TRUE	FALSE
6	0	FALSE	5.871329	0	FALSE	11.84267	"excellent"	9.644014	1.386294	16	2.599589	"male"	TRUE	FALSE
4	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.317197	1.098612	13	0.6297057	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.317197	1.386294	13	1.629706	"female"	TRUE	FALSE
8	4.564348	TRUE	0	6.160541	FALSE	11.84267	"excellent"	8.317197	1.386294	13	2.629706	"female"	TRUE	FALSE
8	0	FALSE	5.785915	0	FALSE	11.84267	"excellent"	8.842349	1.098612	12	0.3312799	"male"	TRUE	FALSE
6	0	FALSE	5.785915	0	FALSE	11.84267	"excellent"	8.842349	1.098612	12	1.33128	"male"	TRUE	FALSE
1	0	FALSE	5.785915	0	FALSE	11.84267	"excellent"	8.842349	1.386294	12	2.33128	"male"	TRUE	FALSE
3	0	FALSE	5.785915	0	FALSE	11.84267	"excellent"	8.842349	1.386294	12	3.33128	"male"	TRUE	FALSE
2	0	FALSE	5.785915	0	FALSE	11.84267	"excellent"	8.842349	1.386294	12	4.33128	"male"	TRUE	FALSE
3	3.258096	FALSE	0	7.167964	TRUE	11.84267	"excellent"	7.634554	1.098612	12	0.8795345	"female"	TRUE	FALSE
2	3.258096	FALSE	0	7.167964	TRUE	11.84267	"excellent"	7.634554	1.098612	12	1.879535	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.74949	1.609438	12.75671	19.9206	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.74949	1.609438	12.75671	20.9206	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.74949	1.609438	12.75671	21.9206	"male"	FALSE	FALSE
3	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	0.6516085	"female"	TRUE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	1.651608	"female"	TRUE	FALSE
1	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	2.651608	"female"	TRUE	FALSE
2	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	3.651608	"female"	TRUE	FALSE
2	3.258096	FALSE	5.717028	7.103322	FALSE	11.84267	"excellent"	8.825342	1.386294	12	4.651608	"female"	TRUE	FALSE
4	0	FALSE	6.246107	0	FALSE	11.84267	"excellent"	8.758512	1.609438	12	0.3477071	"male"	TRUE	FALSE
4	0	FALSE	6.246107	0	FALSE	11.84267	"excellent"	8.758512	1.609438	12	1.347707	"male"	TRUE	FALSE
5	0	FALSE	6.246107	0	FALSE	11.84267	"excellent"	8.758512	1.609438	12	2.347707	"male"	TRUE	FALSE
7	4.564348	FALSE	6.639876	6.691169	TRUE	11.84267	"excellent"	9.056971	0.6931472	12.75671	21.48939	"female"	FALSE	FALSE
8	4.564348	FALSE	6.639876	6.691169	TRUE	11.84267	"excellent"	9.056971	0.6931472	12.75671	22.48939	"female"	FALSE	FALSE
7	4.564348	FALSE	6.639876	6.691169	TRUE	11.84267	"excellent"	9.056971	0.6931472	12.75671	23.48939	"female"	FALSE	FALSE
7	4.564348	FALSE	6.639876	6.691169	TRUE	11.84267	"excellent"	9.056971	0.6931472	12.75671	24.48939	"female"	FALSE	FALSE
16	4.564348	FALSE	6.639876	6.691169	TRUE	11.84267	"excellent"	9.056971	1.098612	12.75671	25.48939	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.270638	1.386294	12	14.97057	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.270638	1.386294	12	15.97057	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.270638	1.386294	12	16.97057	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.270638	1.386294	12	17.97057	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.270638	1.098612	12	18.97057	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.959049	TRUE	27.6	"excellent"	9.385781	1.386294	16	51.98083	"male"	FALSE	FALSE
1	3.258096	FALSE	6.280845	6.628041	FALSE	11.84267	"good"	9.067237	1.098612	14	3.071869	"male"	TRUE	FALSE
4	3.258096	FALSE	6.280845	6.628041	FALSE	11.84267	"good"	9.067237	1.098612	14	4.071868	"male"	TRUE	FALSE
5	3.258096	FALSE	6.280845	6.628041	FALSE	11.84267	"good"	9.067237	1.098612	14	5.071868	"male"	TRUE	FALSE
7	3.258096	FALSE	6.280845	6.628041	FALSE	3.4	"good"	9.067237	1.098612	12	23.64408	"male"	FALSE	FALSE
26	3.258096	FALSE	6.280845	6.628041	FALSE	3.4	"good"	9.067237	1.098612	12	24.64408	"male"	FALSE	FALSE
11	3.258096	FALSE	6.280845	6.628041	FALSE	3.4	"good"	9.067237	1.098612	12	25.64408	"male"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	7.184121	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	8.18412	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	9.18412	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	10.18412	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	11.18412	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.467535	1.386294	12	36.53388	"male"	FALSE	FALSE
5	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.467535	1.386294	12	37.53388	"male"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.467535	1.386294	12	38.53388	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.467535	1.386294	12	39.53388	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.467535	1.386294	12	40.53388	"male"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.467535	1.386294	12	32.41889	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.467535	1.386294	12	33.41889	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.467535	1.386294	12	34.41889	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.467535	1.386294	12	35.41889	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	6.9	"excellent"	9.467535	1.386294	12	36.41889	"female"	FALSE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	3.507187	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	4.507187	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	5.507187	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	6.507187	"female"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	9.467535	1.386294	12	7.507187	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.40282	1.791759	10	0.652293	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.40282	1.791759	10	1.652293	"male"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.40282	1.791759	10	2.652293	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.40282	1.386294	10	3.652293	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	9.067237	1.098612	11	2.072553	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"excellent"	9.067237	1.098612	11	24.88706	"female"	FALSE	FALSE
1	0	FALSE	5.355642	0	FALSE	3.4	"excellent"	9.048594	0.6931472	16	24.22998	"male"	FALSE	FALSE
1	0	FALSE	5.355642	0	FALSE	3.4	"excellent"	9.048594	0.6931472	16	25.22998	"male"	FALSE	FALSE
2	0	FALSE	5.355642	0	FALSE	3.4	"excellent"	9.048594	1.098612	16	26.22998	"male"	FALSE	FALSE
9	0	FALSE	5.355642	0	FALSE	3.4	"excellent"	9.048594	1.098612	16	27.22998	"male"	FALSE	FALSE
3	0	FALSE	5.355642	0	FALSE	3.4	"excellent"	9.048594	1.386294	16	28.22998	"male"	FALSE	FALSE
15	0	FALSE	4.587006	0	FALSE	11.84267	"excellent"	8.86348	1.098612	14	0.5886379	"male"	TRUE	FALSE
4	0	FALSE	4.587006	0	FALSE	11.84267	"excellent"	8.86348	1.098612	14	1.588638	"male"	TRUE	FALSE
1	0	FALSE	4.587006	0	FALSE	11.84267	"excellent"	8.86348	1.098612	14	2.588638	"male"	TRUE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	8.739347	0.6931472	14	22.20671	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	8.739347	1.098612	14	23.20671	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	8.739347	1.098612	14	24.20671	"female"	FALSE	FALSE
3	3.258096	FALSE	6.612041	7.998335	TRUE	11.84267	"excellent"	8.877158	0.6931472	12	0.238193	"male"	TRUE	FALSE
5	3.258096	FALSE	6.612041	7.998335	TRUE	11.84267	"excellent"	8.877158	0.6931472	12	1.238193	"male"	TRUE	FALSE
0	3.258096	FALSE	6.612041	7.998335	TRUE	11.84267	"excellent"	8.877158	0.6931472	12	2.238193	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.467853	1.609438	12	20.67351	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.467853	1.609438	12	21.67351	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.467853	1.609438	12	22.67351	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.467853	1.609438	12	23.67351	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.467853	1.791759	12	24.67351	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	7.882858	0.6931472	12	15.17043	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	7.882858	0.6931472	12	16.17043	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	7.882858	0.6931472	12	17.17043	"female"	TRUE	FALSE
3	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	6.557931	0.6931472	12.75671	58.84189	"male"	FALSE	TRUE
4	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	6.557931	0.6931472	12.75671	59.84189	"male"	FALSE	TRUE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	6.557931	0.6931472	12.75671	60.84189	"male"	FALSE	TRUE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	6.557931	0.6931472	12.75671	61.84189	"male"	FALSE	TRUE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"excellent"	6.557931	0.6931472	12.75671	62.84189	"male"	FALSE	TRUE
5	4.564348	TRUE	0	5.755076	TRUE	24.1	"excellent"	6.557931	0.6931472	12.75671	55.00342	"female"	FALSE	TRUE
2	4.564348	TRUE	0	5.755076	TRUE	24.1	"excellent"	6.557931	0.6931472	12.75671	56.00342	"female"	FALSE	TRUE
4	4.564348	TRUE	0	5.755076	TRUE	24.1	"excellent"	6.557931	0.6931472	12.75671	57.00342	"female"	FALSE	TRUE
1	4.564348	TRUE	0	5.755076	TRUE	24.1	"excellent"	6.557931	0.6931472	12.75671	58.00342	"female"	FALSE	TRUE
7	4.564348	TRUE	0	5.755076	TRUE	24.1	"excellent"	6.557931	0.6931472	12.75671	59.00342	"female"	FALSE	TRUE
3	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	7.473371	1.098612	11	15.1896	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	7.473371	1.098612	11	16.1896	"female"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	7.473371	1.098612	11	17.1896	"female"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	7.473371	1.098612	11	18.1896	"female"	FALSE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	0	"excellent"	7.473371	1.098612	11	19.1896	"female"	FALSE	FALSE
2	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	7.473371	1.098612	11	9.09514	"male"	TRUE	FALSE
3	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	7.473371	1.098612	11	10.09514	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	7.473371	1.098612	11	11.09514	"male"	TRUE	FALSE
0	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	7.473371	1.098612	11	12.09514	"male"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	FALSE	11.84267	"excellent"	7.473371	1.098612	11	13.09514	"male"	TRUE	FALSE
20	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	7.473371	1.098612	11	32.43806	"female"	FALSE	FALSE
10	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	7.473371	1.098612	11	33.43806	"female"	FALSE	FALSE
23	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	7.473371	1.098612	11	34.43806	"female"	FALSE	FALSE
12	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	7.473371	1.098612	11	35.43806	"female"	FALSE	FALSE
9	3.258096	FALSE	6.907755	8.294049	FALSE	17.2	"excellent"	7.473371	1.098612	11	36.43806	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.025649	1.386294	12	0.0136893	"male"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.025649	1.386294	12	1.013689	"male"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.025649	1.386294	12	2.013689	"male"	TRUE	FALSE
4	4.564348	FALSE	0	5.435788	FALSE	10.3	"excellent"	8.430198	0.6931472	16	22.05886	"male"	FALSE	FALSE
9	4.564348	FALSE	0	5.435788	FALSE	10.3	"excellent"	8.430198	0.6931472	16	23.05886	"male"	FALSE	FALSE
5	4.564348	FALSE	0	5.435788	FALSE	10.3	"excellent"	8.430198	0.6931472	16	24.05886	"male"	FALSE	FALSE
10	3.258096	FALSE	6.280845	6.628041	TRUE	13.8	"excellent"	9.067237	1.098612	14	26.36276	"female"	FALSE	FALSE
8	3.258096	FALSE	6.280845	6.628041	TRUE	13.8	"excellent"	9.067237	1.098612	14	27.36276	"female"	FALSE	FALSE
7	3.258096	FALSE	6.280845	6.628041	TRUE	13.8	"excellent"	9.067237	1.098612	14	28.36276	"female"	FALSE	FALSE
2	0	FALSE	4.063885	0	FALSE	3.4	"excellent"	9.083487	1.386294	10	15.10746	"male"	TRUE	FALSE
0	0	FALSE	4.063885	0	FALSE	3.4	"excellent"	9.083487	1.386294	10	16.10746	"male"	TRUE	FALSE
0	0	FALSE	4.063885	0	FALSE	3.4	"excellent"	9.083487	1.386294	10	17.10746	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	11.84267	"excellent"	8.893475	1.386294	11	6.327173	"male"	TRUE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.30734	0.6931472	12	21.06776	"male"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.30734	0.6931472	12	22.06776	"male"	FALSE	TRUE
0	3.258096	FALSE	6.907755	8.294049	FALSE	3.4	"excellent"	9.30734	0.6931472	12	23.06776	"male"	FALSE	TRUE
1	3.258096	FALSE	0	7.194437	FALSE	6.9	"excellent"	0.6931472	0.6931472	11	25.34976	"female"	FALSE	TRUE
0	3.258096	FALSE	0	7.194437	FALSE	6.9	"excellent"	0.6931472	0.6931472	11	26.34976	"female"	FALSE	TRUE
0	3.258096	FALSE	0	7.194437	FALSE	6.9	"excellent"	0.6931472	1.098612	11	27.34976	"female"	FALSE	TRUE
0	3.258096	FALSE	0	7.194437	FALSE	11.84267	"excellent"	0.6931472	0.6931472	11	8.85421	"female"	TRUE	TRUE
0	3.258096	FALSE	0	7.194437	FALSE	11.84267	"excellent"	0.6931472	0.6931472	11	9.85421	"female"	TRUE	TRUE
0	3.258096	FALSE	0	7.194437	FALSE	11.84267	"excellent"	0.6931472	1.098612	11	10.85421	"female"	TRUE	TRUE
0	3.258096	FALSE	0	6.866933	FALSE	3.4	"excellent"	4.978673	0	12	20.42984	"female"	FALSE	TRUE
1	3.258096	FALSE	0	6.866933	FALSE	3.4	"excellent"	4.978673	0	12	21.42984	"female"	FALSE	TRUE
1	3.258096	FALSE	0	6.866933	FALSE	3.4	"excellent"	4.978673	0	12	22.42984	"female"	FALSE	TRUE
0	3.258096	FALSE	5.783825	7.17012	FALSE	13.8	"excellent"	0.6931472	0	12	35.61396	"male"	FALSE	TRUE
1	3.258096	FALSE	5.783825	7.17012	FALSE	13.8	"excellent"	0.6931472	0	12	36.61396	"male"	FALSE	TRUE
1	3.258096	FALSE	5.783825	7.17012	FALSE	13.8	"excellent"	0.6931472	0	12	37.61396	"male"	FALSE	TRUE
10	0	FALSE	0	0	FALSE	10.3	"excellent"	8.891298	0	12	23.04175	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.891298	0	12	24.04175	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	8.891298	0	12	25.04175	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.891298	0.6931472	12	26.04175	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	8.891298	0.6931472	12	27.04175	"male"	FALSE	FALSE
1	3.258096	FALSE	5.521461	6.907755	TRUE	13.8	"excellent"	9.014654	0.6931472	12.75671	30.10541	"male"	FALSE	FALSE
4	3.258096	FALSE	5.521461	6.907755	TRUE	13.8	"excellent"	9.014654	0.6931472	12.75671	31.10541	"male"	FALSE	FALSE
2	3.258096	FALSE	5.521461	6.907755	TRUE	13.8	"excellent"	9.014654	0.6931472	12.75671	32.10541	"male"	FALSE	FALSE
11	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"excellent"	8.453845	1.609438	10	0.0136893	"female"	TRUE	FALSE
10	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"excellent"	8.453845	1.609438	10	1.013689	"female"	TRUE	FALSE
7	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"excellent"	8.453845	1.609438	10	2.013689	"female"	TRUE	FALSE
3	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"excellent"	8.453845	1.609438	10	3.013689	"female"	TRUE	FALSE
0	3.258096	FALSE	5.886104	7.272398	TRUE	11.84267	"excellent"	8.453845	1.609438	10	4.013689	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.096912	1.386294	12	0.6632444	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.096912	1.386294	12	1.663244	"male"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	2.397895	10	0.8384668	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	2.397895	10	1.838467	"male"	TRUE	FALSE
7	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	8.739347	1.098612	14	0.8083504	"male"	TRUE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	8.739347	1.098612	14	1.80835	"male"	TRUE	FALSE
3	4.564348	FALSE	5.519459	5.570752	TRUE	11.84267	"excellent"	9.067237	0.6931472	14	0.6002738	"male"	TRUE	FALSE
1	4.564348	FALSE	5.519459	5.570752	TRUE	11.84267	"excellent"	9.067237	0.6931472	14	1.600274	"male"	TRUE	FALSE
4	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	8.786052	1.386294	12	0.3374401	"female"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	8.786052	1.386294	12	1.33744	"female"	TRUE	FALSE
2	3.258096	FALSE	6.43575	7.693937	TRUE	11.84267	"excellent"	9.067237	1.386294	16	0.7700205	"male"	TRUE	FALSE
1	3.258096	FALSE	6.43575	7.693937	TRUE	11.84267	"excellent"	9.067237	1.386294	16	1.77002	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	6.9	"excellent"	7.437419	0	16	22.38741	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.437419	0	16	23.38741	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	7.437419	0	16	24.38741	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	7.437419	0	16	25.38741	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.437419	0	16	26.38741	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.002815	1.098612	13	0.9507187	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.002815	1.098612	13	1.950719	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.002815	1.098612	13	2.950719	"male"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.002815	1.386294	13	3.950719	"male"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.203198	1.386294	12	0.4223135	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.203198	1.386294	12	1.422313	"female"	TRUE	FALSE
15	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	9.07935	1.098612	12	0.3785079	"female"	TRUE	FALSE
12	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	9.07935	1.098612	12	1.378508	"female"	TRUE	FALSE
8	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	9.07935	1.386294	12	2.378508	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	9.07935	1.386294	12	3.378508	"female"	TRUE	FALSE
10	0	FALSE	5.871329	0	TRUE	11.84267	"excellent"	9.644014	1.386294	16	0.5674196	"male"	TRUE	FALSE
6	0	FALSE	5.871329	0	TRUE	11.84267	"excellent"	9.644014	1.386294	16	1.56742	"male"	TRUE	FALSE
11	0	FALSE	5.330978	0	TRUE	11.84267	"excellent"	9.27916	1.386294	16	0.1895962	"male"	TRUE	FALSE
6	0	FALSE	5.330978	0	TRUE	11.84267	"excellent"	9.27916	1.386294	16	1.189596	"male"	TRUE	FALSE
4	0	FALSE	5.330978	0	TRUE	11.84267	"excellent"	9.27916	1.386294	16	2.189596	"male"	TRUE	FALSE
3	0	FALSE	5.330978	0	TRUE	11.84267	"excellent"	9.27916	1.386294	16	3.189596	"male"	TRUE	FALSE
7	3.258096	FALSE	6.804725	8.19102	TRUE	11.84267	"excellent"	8.761549	1.098612	13	0.4113621	"female"	TRUE	FALSE
4	3.258096	FALSE	6.804725	8.19102	TRUE	11.84267	"excellent"	8.761549	1.098612	13	1.411362	"female"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.821943	1.098612	12	45.26489	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.821943	1.098612	12	46.26489	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.821943	1.098612	12	47.26489	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.821943	1.098612	12	48.26489	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.821943	0.6931472	12	49.26489	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.821943	1.098612	11	18.10267	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.821943	1.098612	11	19.10267	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.821943	1.098612	11	20.10267	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.821943	1.098612	11	21.10267	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	2.397895	10	0.7043121	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	2.397895	10	1.704312	"male"	TRUE	FALSE
4	4.564348	TRUE	0	6.160541	TRUE	11.84267	"excellent"	8.317197	1.386294	13	0.340178	"female"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	TRUE	11.84267	"excellent"	8.317197	1.386294	13	1.340178	"female"	TRUE	FALSE
3	4.564348	TRUE	5.743003	5.755076	TRUE	11.84267	"excellent"	9.18982	1.098612	12	0.4004107	"male"	TRUE	FALSE
0	4.564348	TRUE	5.743003	5.755076	TRUE	11.84267	"excellent"	9.18982	1.098612	12	1.400411	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	8.52254	0.6931472	13	0.8767967	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	8.52254	0.6931472	13	1.876797	"female"	TRUE	FALSE
9	4.564348	FALSE	6.703188	6.754481	TRUE	11.84267	"excellent"	9.469619	1.386294	17	0.1594798	"female"	TRUE	FALSE
8	4.564348	FALSE	6.703188	6.754481	TRUE	11.84267	"excellent"	9.469619	1.386294	17	1.15948	"female"	TRUE	FALSE
12	0	FALSE	5.496512	0	TRUE	11.84267	"excellent"	9.65903	1.098612	14	0.0253251	"male"	TRUE	FALSE
8	0	FALSE	5.496512	0	TRUE	11.84267	"excellent"	9.65903	1.098612	14	1.025325	"male"	TRUE	FALSE
2	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.186102	1.386294	16	0.4852841	"female"	TRUE	FALSE
1	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.186102	1.386294	16	1.485284	"female"	TRUE	FALSE
5	3.258096	FALSE	6.87363	8.259924	TRUE	11.84267	"excellent"	9.249883	1.609438	12	0.9240246	"male"	TRUE	TRUE
2	3.258096	FALSE	6.87363	8.259924	TRUE	11.84267	"excellent"	9.249883	1.609438	12	1.924025	"male"	TRUE	TRUE
0	3.258096	FALSE	6.87363	8.259924	TRUE	11.84267	"excellent"	9.249883	1.609438	12	2.924025	"male"	TRUE	TRUE
14	0	FALSE	0	0	TRUE	11.84267	"excellent"	0.6931472	1.609438	13	0.0253251	"female"	TRUE	FALSE
12	0	FALSE	0	0	TRUE	11.84267	"excellent"	0.6931472	1.609438	13	1.025325	"female"	TRUE	FALSE
5	4.564348	FALSE	6.547474	6.943732	TRUE	11.84267	"excellent"	9.246056	1.098612	12	0.9075975	"male"	TRUE	FALSE
6	4.564348	FALSE	6.547474	6.943732	TRUE	11.84267	"excellent"	9.246056	1.386294	12	1.907598	"male"	TRUE	FALSE
2	4.564348	FALSE	6.547474	6.943732	TRUE	11.84267	"excellent"	9.246056	1.386294	12	2.907598	"male"	TRUE	FALSE
4	0	FALSE	5.962654	0	TRUE	11.84267	"excellent"	9.373252	1.386294	17	0.559206	"male"	TRUE	FALSE
3	0	FALSE	5.962654	0	TRUE	11.84267	"excellent"	9.373252	1.386294	17	1.559206	"male"	TRUE	FALSE
3	4.564348	TRUE	0	5.061929	TRUE	11.84267	"excellent"	8.368714	0.6931472	12	0.6529774	"female"	TRUE	FALSE
2	4.564348	TRUE	0	5.061929	TRUE	11.84267	"excellent"	8.368714	0.6931472	12	1.652977	"female"	TRUE	FALSE
3	4.564348	TRUE	0	5.061929	TRUE	11.84267	"excellent"	8.368714	0.6931472	12	2.652977	"female"	TRUE	FALSE
3	4.564348	TRUE	4.341856	5.755076	TRUE	11.84267	"excellent"	8.662545	1.098612	13	0.4332649	"male"	TRUE	FALSE
5	4.564348	TRUE	4.341856	5.755076	TRUE	11.84267	"excellent"	8.662545	1.098612	13	1.433265	"male"	TRUE	FALSE
0	4.564348	FALSE	6.743352	6.794645	TRUE	11.84267	"excellent"	8.33874	0.6931472	12	0.4031485	"female"	TRUE	FALSE
0	4.564348	FALSE	6.743352	6.794645	TRUE	11.84267	"excellent"	8.33874	0.6931472	12	1.403149	"female"	TRUE	FALSE
0	4.564348	FALSE	6.743352	6.794645	TRUE	11.84267	"excellent"	8.33874	0.6931472	12	2.403148	"female"	TRUE	FALSE
0	4.564348	FALSE	6.743352	6.794645	TRUE	11.84267	"excellent"	8.33874	0.6931472	12	3.403148	"female"	TRUE	FALSE
3	4.564348	TRUE	5.703783	6.160541	TRUE	11.84267	"excellent"	9.067107	1.386294	12	0.6748802	"female"	TRUE	FALSE
2	4.564348	TRUE	5.617753	6.160541	TRUE	11.84267	"excellent"	9.067237	1.609438	12	0.5982204	"male"	TRUE	FALSE
2	4.564348	TRUE	5.617753	6.160541	TRUE	11.84267	"excellent"	9.067237	1.609438	12	1.59822	"male"	TRUE	FALSE
2	4.564348	TRUE	5.617753	6.160541	TRUE	11.84267	"excellent"	9.067237	1.609438	12	2.59822	"male"	TRUE	FALSE
10	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.198701	1.098612	12	0.2806297	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.577364	1.609438	16	0.6310746	"male"	TRUE	FALSE
7	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	9.055055	1.098612	11	0.1211499	"female"	TRUE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	9.055055	1.386294	11	1.12115	"female"	TRUE	FALSE
12	3.258096	FALSE	6.342209	7.728504	TRUE	11.84267	"excellent"	8.899175	1.098612	12	0.6557153	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	8.032743	1.609438	16	0.4887064	"male"	TRUE	FALSE
5	3.258096	FALSE	6.907755	8.294049	TRUE	11.84267	"excellent"	9.399418	0.6931472	14	0.6721424	"male"	TRUE	FALSE
12	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	9.766472	0.6931472	17	0.4339494	"female"	TRUE	FALSE
6	3.258096	FALSE	0	5.075174	TRUE	11.84267	"excellent"	7.522134	0.6931472	12	0.6173853	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	11.84267	"excellent"	7.832272	1.791759	11	0.3381246	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.067237	1.609438	12	0.1136208	"male"	TRUE	TRUE
0	3.258096	FALSE	0	7.194437	TRUE	11.84267	"excellent"	0.6931472	1.098612	11	0.5982204	"female"	TRUE	TRUE
6	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	8.97745	1.791759	12	0.4531143	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	8.97745	1.791759	12	1.453114	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	8.97745	1.791759	12	2.453114	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.015011	1.386294	12	0.2587269	"female"	TRUE	FALSE
7	0	FALSE	5.785915	0	TRUE	11.84267	"excellent"	8.842349	1.386294	12	0.2258727	"female"	TRUE	FALSE
10	0	FALSE	5.785915	0	TRUE	11.84267	"excellent"	8.842349	1.386294	12	1.225873	"female"	TRUE	FALSE
6	0	FALSE	5.785915	0	TRUE	11.84267	"excellent"	8.842349	1.386294	12	2.225873	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	9.055055	1.386294	11	0.3819302	"female"	TRUE	FALSE
6	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	7.473371	1.386294	10	0.0780287	"female"	TRUE	FALSE
9	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	7.473371	1.386294	10	0.0780287	"male"	TRUE	FALSE
3	0	FALSE	5.355642	0	TRUE	11.84267	"excellent"	9.048594	1.098612	13	0.2067077	"female"	TRUE	FALSE
6	0	FALSE	5.355642	0	TRUE	11.84267	"excellent"	9.048594	1.098612	13	1.206708	"female"	TRUE	FALSE
3	0	FALSE	5.355642	0	TRUE	11.84267	"excellent"	9.048594	1.386294	13	2.206708	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.067237	2.397895	10	0.1848049	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.345768	1.098612	15	0.7686516	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.345768	1.098612	15	1.768652	"male"	TRUE	FALSE
6	4.564348	FALSE	6.547474	6.943732	TRUE	11.84267	"excellent"	9.246056	1.386294	12	0.5304586	"male"	TRUE	FALSE
2	4.564348	FALSE	6.547474	6.943732	TRUE	11.84267	"excellent"	9.246056	1.386294	12	1.530459	"male"	TRUE	FALSE
8	4.564348	FALSE	6.72827	6.779563	TRUE	11.84267	"excellent"	9.228227	1.791759	12	0.2758385	"male"	TRUE	FALSE
6	4.564348	FALSE	6.72827	6.779563	TRUE	11.84267	"excellent"	9.228227	1.791759	12	1.275838	"male"	TRUE	FALSE
11	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.891298	0.6931472	12	0.7412731	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	11.84267	"excellent"	8.891298	0.6931472	12	1.741273	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	9.07935	1.386294	12	0.2539357	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	11.84267	"excellent"	9.07935	1.386294	12	1.253936	"male"	TRUE	FALSE
12	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	9.18988	1.098612	15	0.2128679	"male"	TRUE	FALSE
8	4.564348	TRUE	5.703783	5.755076	TRUE	11.84267	"excellent"	9.18988	1.098612	15	1.212868	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	11.84267	"excellent"	9.467853	1.791759	12	0.9993156	"male"	TRUE	FALSE
8	4.564348	FALSE	6.639876	6.691169	TRUE	11.84267	"excellent"	9.056971	1.098612	12.75671	0.8350445	"female"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	11.84267	"excellent"	9.002815	1.386294	13	0.9336071	"male"	TRUE	FALSE
7	0	FALSE	5.355642	0	TRUE	11.84267	"excellent"	9.048594	1.386294	13	0.0958248	"male"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.243833	1.609438	8	39.75907	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.243833	1.609438	8	40.75907	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.243833	1.609438	8	41.75907	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.243833	1.609438	12	16.51745	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.243833	1.609438	12	17.51745	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.243833	1.609438	12	18.51745	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.243833	1.609438	12	14.02327	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.243833	1.609438	12	15.02327	"female"	TRUE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.243833	1.609438	12	16.02327	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.243833	1.609438	12	7.378508	"female"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.243833	1.609438	12	8.378508	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.243833	1.609438	12	9.378508	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"good"	9.243833	1.609438	12	37.56057	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"good"	9.243833	1.609438	12	38.56057	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"good"	9.243833	1.609438	12	39.56057	"female"	FALSE	FALSE
0	4.564348	TRUE	6.1441	5.755076	FALSE	0	"excellent"	9.15603	0.6931472	16	23.85216	"male"	FALSE	FALSE
3	4.564348	TRUE	6.1441	5.755076	FALSE	0	"excellent"	9.15603	0.6931472	16	24.85216	"male"	FALSE	FALSE
3	4.564348	TRUE	6.1441	5.755076	FALSE	0	"excellent"	9.15603	0.6931472	16	25.85216	"male"	FALSE	FALSE
4	4.564348	TRUE	6.1441	5.755076	FALSE	10.3	"excellent"	9.15603	0.6931472	16	23.82204	"female"	FALSE	FALSE
6	4.564348	TRUE	6.1441	5.755076	FALSE	10.3	"excellent"	9.15603	0.6931472	16	24.82204	"female"	FALSE	FALSE
1	4.564348	TRUE	6.1441	5.755076	FALSE	10.3	"excellent"	9.15603	0.6931472	16	25.82204	"female"	FALSE	FALSE
6	0	FALSE	6.953913	0	FALSE	9.967326	"excellent"	8.210876	1.609438	13	8.071184	"female"	TRUE	FALSE
2	0	FALSE	6.953913	0	FALSE	9.967326	"excellent"	8.210876	1.791759	13	9.071184	"female"	TRUE	FALSE
3	0	FALSE	6.953913	0	FALSE	9.967326	"excellent"	8.210876	1.791759	13	10.07118	"female"	TRUE	FALSE
2	0	FALSE	6.953913	0	TRUE	6.9	"excellent"	8.210876	1.609438	13	31.99726	"female"	FALSE	FALSE
1	0	FALSE	6.953913	0	TRUE	6.9	"excellent"	8.210876	1.791759	13	32.99726	"female"	FALSE	FALSE
37	0	FALSE	6.953913	0	TRUE	6.9	"excellent"	8.210876	1.791759	13	33.99726	"female"	FALSE	FALSE
1	0	FALSE	6.953913	0	FALSE	6.9	"excellent"	8.210876	1.609438	8	28.58043	"male"	FALSE	FALSE
3	0	FALSE	6.953913	0	FALSE	6.9	"excellent"	8.210876	1.791759	8	29.58043	"male"	FALSE	FALSE
1	0	FALSE	6.953913	0	FALSE	6.9	"excellent"	8.210876	1.791759	8	30.58043	"male"	FALSE	FALSE
6	0	FALSE	6.953913	0	TRUE	9.967326	"excellent"	8.210876	1.609438	13	6.951403	"female"	TRUE	FALSE
7	0	FALSE	6.953913	0	TRUE	9.967326	"excellent"	8.210876	1.791759	13	7.951403	"female"	TRUE	FALSE
13	0	FALSE	6.953913	0	TRUE	9.967326	"excellent"	8.210876	1.791759	13	8.951404	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	8.304799	1.94591	9	14.2204	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	8.304799	1.94591	9	15.2204	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	8.304799	1.94591	9	16.2204	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	8.804928	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	9.804928	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	10.80493	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	8.304799	1.94591	9	44.73922	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	8.304799	1.94591	9	45.73922	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	8.304799	1.94591	9	46.73922	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.304799	1.94591	7	46.8501	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.304799	1.94591	7	47.8501	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.304799	1.94591	7	48.8501	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	10.05339	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	11.05339	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	12.05339	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.304799	1.94591	11	18.09446	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.304799	1.94591	11	19.09446	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.304799	1.94591	11	20.09446	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	7.063655	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	8.063655	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.304799	1.94591	9	9.063655	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	9	15.19233	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	9	16.19233	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	9	17.19233	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	9	18.19233	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	9	19.19233	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	8	37.88638	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	8	38.88638	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	8	39.88638	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	8	40.88638	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.232021	1.098612	8	41.88638	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"good"	9.232021	1.098612	9	34.93224	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"good"	9.232021	1.098612	9	35.93224	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"good"	9.232021	1.098612	9	36.93224	"female"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"good"	9.232021	1.098612	9	37.93224	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"good"	9.232021	1.098612	9	38.93224	"female"	FALSE	FALSE
1	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.386294	12	1.10883	"male"	TRUE	FALSE
3	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	2.108829	"male"	TRUE	FALSE
5	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	3.108829	"male"	TRUE	FALSE
2	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	4.108829	"male"	TRUE	FALSE
4	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	5.108829	"male"	TRUE	FALSE
1	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.386294	12	5.385353	"male"	TRUE	FALSE
1	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	6.385353	"male"	TRUE	FALSE
5	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	7.385353	"male"	TRUE	FALSE
2	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	8.385352	"male"	TRUE	FALSE
1	0	FALSE	5.629059	0	FALSE	9.967326	"excellent"	8.606321	1.609438	12	9.385352	"male"	TRUE	FALSE
1	0	FALSE	5.629059	0	TRUE	13.8	"excellent"	8.606321	1.386294	12	27.01711	"female"	FALSE	FALSE
2	0	FALSE	5.629059	0	TRUE	13.8	"excellent"	8.606321	1.609438	12	28.01711	"female"	FALSE	FALSE
1	0	FALSE	5.629059	0	TRUE	13.8	"excellent"	8.606321	1.609438	12	29.01711	"female"	FALSE	FALSE
2	0	FALSE	5.629059	0	TRUE	13.8	"excellent"	8.606321	1.609438	12	30.01711	"female"	FALSE	FALSE
2	0	FALSE	5.629059	0	TRUE	13.8	"excellent"	8.606321	1.609438	12	31.01711	"female"	FALSE	FALSE
2	0	FALSE	5.629059	0	FALSE	3.4	"excellent"	8.606321	1.386294	12	23.19781	"male"	FALSE	FALSE
6	0	FALSE	5.629059	0	FALSE	3.4	"excellent"	8.606321	1.609438	12	24.19781	"male"	FALSE	FALSE
0	0	FALSE	5.629059	0	FALSE	3.4	"excellent"	8.606321	1.609438	12	25.19781	"male"	FALSE	FALSE
1	0	FALSE	5.629059	0	FALSE	3.4	"excellent"	8.606321	1.609438	12	26.19781	"male"	FALSE	FALSE
1	0	FALSE	5.629059	0	FALSE	3.4	"excellent"	8.606321	1.609438	12	27.19781	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.291567	1.386294	14	32.34223	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	9.291567	1.386294	14	33.34223	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.291567	1.386294	14	34.34223	"male"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	17.2	"good"	9.291567	1.386294	12	32.72827	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	17.2	"good"	9.291567	1.386294	12	33.72827	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	17.2	"good"	9.291567	1.386294	12	34.72827	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.291567	1.386294	12	8.859685	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.291567	1.386294	12	9.859685	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.291567	1.386294	12	10.85968	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.291567	1.386294	12	11.28816	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.291567	1.386294	12	12.28816	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.291567	1.386294	12	13.28816	"female"	TRUE	FALSE
1	4.564348	TRUE	6.694067	6.160541	FALSE	0	"good"	8.952033	1.098612	14	25.39357	"female"	FALSE	FALSE
3	4.564348	TRUE	6.694067	6.160541	FALSE	0	"good"	8.952033	1.098612	14	26.39357	"female"	FALSE	FALSE
2	4.564348	TRUE	6.694067	6.160541	FALSE	0	"good"	8.952033	1.386294	14	27.39357	"female"	FALSE	FALSE
1	4.564348	TRUE	6.694067	6.160541	FALSE	24.1	"good"	8.952033	1.098612	14	24.85147	"male"	FALSE	FALSE
1	4.564348	TRUE	6.694067	6.160541	FALSE	24.1	"good"	8.952033	1.098612	14	25.85147	"male"	FALSE	FALSE
1	4.564348	TRUE	6.694067	6.160541	FALSE	24.1	"good"	8.952033	1.386294	14	26.85147	"male"	FALSE	FALSE
5	4.564348	TRUE	6.694067	6.160541	FALSE	9.967326	"good"	8.952033	1.098612	14	1.853525	"female"	TRUE	FALSE
4	4.564348	TRUE	6.694067	6.160541	FALSE	9.967326	"good"	8.952033	1.098612	14	2.853525	"female"	TRUE	FALSE
6	4.564348	TRUE	6.694067	6.160541	FALSE	9.967326	"good"	8.952033	1.386294	14	3.853525	"female"	TRUE	FALSE
0	4.564348	FALSE	6.802395	6.959049	FALSE	0	"excellent"	8.759618	0	13	23.67146	"male"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.959049	FALSE	0	"excellent"	8.759618	0	13	24.67146	"male"	FALSE	TRUE
2	4.564348	FALSE	6.802395	6.959049	FALSE	0	"excellent"	8.759618	0	13	25.67146	"male"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.959049	FALSE	0	"excellent"	8.759618	0.6931472	13	26.67146	"male"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.959049	FALSE	0	"excellent"	8.759618	0.6931472	13	27.67146	"male"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.92244	1.386294	16	24.61602	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.92244	1.386294	16	25.61602	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.92244	1.386294	16	26.61602	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.92244	1.609438	16	27.61602	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.92244	1.609438	16	28.61602	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.92244	1.386294	14	24.77481	"female"	FALSE	FALSE
9	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.92244	1.386294	14	25.77481	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.92244	1.386294	14	26.77481	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.92244	1.609438	14	27.77481	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.92244	1.609438	14	28.77481	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.92244	1.386294	14	1.42642	"male"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.92244	1.386294	14	2.42642	"male"	TRUE	FALSE
11	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.92244	1.386294	14	3.42642	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.92244	1.609438	14	4.42642	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.92244	1.609438	14	5.42642	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.500862	1.386294	13	0.8131417	"male"	TRUE	FALSE
34	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.500862	1.609438	13	1.813142	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	20.7	"good"	8.500862	1.386294	13	22.89938	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	20.7	"good"	8.500862	1.609438	13	23.89938	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	20.7	"good"	8.500862	1.098612	13	24.89938	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.500862	1.386294	13	1.629021	"male"	TRUE	FALSE
22	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.500862	1.609438	13	2.629021	"male"	TRUE	FALSE
34	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.500862	1.098612	13	3.629021	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.500862	1.386294	7	22.39836	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	8.500862	1.609438	7	23.39836	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	8.500862	1.098612	7	24.39836	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"fair"	8.616144	0.6931472	11	60.92813	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"fair"	8.616144	0.6931472	11	61.92813	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"fair"	8.616144	0.6931472	11	62.92813	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.616144	0.6931472	8	59.00616	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.616144	0.6931472	8	60.00616	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.616144	0.6931472	8	61.00616	"female"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	13	17.577	"female"	TRUE	FALSE
1	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	13	18.577	"female"	FALSE	FALSE
3	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	13	19.577	"female"	FALSE	FALSE
1	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	13	20.577	"female"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	13	21.577	"female"	FALSE	FALSE
5	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	40.6872	"male"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	41.6872	"male"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	42.6872	"male"	FALSE	FALSE
0	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	43.6872	"male"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	44.6872	"male"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	0	"good"	9.60747	1.791759	13	15.14579	"male"	TRUE	FALSE
0	0	FALSE	6.364407	0	FALSE	0	"good"	9.60747	1.791759	13	16.14579	"male"	TRUE	FALSE
3	0	FALSE	6.364407	0	FALSE	0	"good"	9.60747	1.791759	13	17.14579	"male"	TRUE	FALSE
1	0	FALSE	6.364407	0	FALSE	0	"good"	9.60747	1.791759	13	18.14579	"male"	FALSE	FALSE
9	0	FALSE	6.364407	0	FALSE	0	"good"	9.60747	1.791759	13	19.14579	"male"	FALSE	FALSE
1	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	39.75633	"female"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	40.75633	"female"	FALSE	FALSE
9	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	41.75633	"female"	FALSE	FALSE
3	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	42.75633	"female"	FALSE	FALSE
8	0	FALSE	6.364407	0	FALSE	6.9	"good"	9.60747	1.791759	13	43.75633	"female"	FALSE	FALSE
11	4.564348	FALSE	0	0	FALSE	0	"good"	7.440866	0.6931472	9	26.45311	"female"	FALSE	FALSE
6	4.564348	FALSE	0	0	FALSE	0	"good"	7.440866	0.6931472	9	27.45311	"female"	FALSE	FALSE
2	4.564348	FALSE	0	0	FALSE	0	"good"	7.440866	0.6931472	9	28.45311	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.772149	0	12	51.49076	"female"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.772149	0	12	52.49076	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"good"	8.772149	0	12	53.49076	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.282767	1.098612	10	17.23477	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.282767	1.098612	10	18.23477	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.282767	1.098612	10	19.23477	"male"	FALSE	FALSE
52	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.282767	1.098612	12	49.27036	"male"	FALSE	FALSE
18	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.282767	1.098612	12	50.27036	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.282767	1.098612	12	51.27036	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.282767	1.098612	10	43.75359	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.282767	1.098612	10	44.75359	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.282767	1.098612	10	45.75359	"female"	FALSE	FALSE
0	0	FALSE	6.63752	0	FALSE	24.1	"excellent"	8.458334	1.94591	12	32.7666	"female"	FALSE	FALSE
1	0	FALSE	6.63752	0	FALSE	24.1	"excellent"	8.458334	1.94591	12	33.7666	"female"	FALSE	FALSE
0	0	FALSE	6.63752	0	FALSE	24.1	"excellent"	8.458334	1.94591	12	34.7666	"female"	FALSE	FALSE
0	0	FALSE	6.63752	0	FALSE	24.1	"excellent"	8.458334	1.94591	12	35.7666	"female"	FALSE	FALSE
2	0	FALSE	6.63752	0	FALSE	24.1	"excellent"	8.458334	1.94591	12	36.7666	"female"	FALSE	FALSE
2	0	FALSE	6.63752	0	TRUE	9.967326	"excellent"	8.458334	1.94591	12	12.91444	"male"	TRUE	FALSE
1	0	FALSE	6.63752	0	TRUE	9.967326	"excellent"	8.458334	1.94591	12	13.91444	"male"	TRUE	FALSE
4	0	FALSE	6.63752	0	TRUE	9.967326	"excellent"	8.458334	1.94591	12	14.91444	"male"	TRUE	FALSE
8	0	FALSE	6.63752	0	TRUE	9.967326	"excellent"	8.458334	1.94591	12	15.91444	"male"	TRUE	FALSE
3	0	FALSE	6.63752	0	TRUE	9.967326	"excellent"	8.458334	1.94591	12	16.91444	"male"	TRUE	FALSE
0	0	FALSE	6.63752	0	FALSE	10.3	"good"	8.458334	1.94591	12	34.8282	"male"	FALSE	FALSE
1	0	FALSE	6.63752	0	FALSE	10.3	"good"	8.458334	1.94591	12	35.8282	"male"	FALSE	FALSE
0	0	FALSE	6.63752	0	FALSE	10.3	"good"	8.458334	1.94591	12	36.8282	"male"	FALSE	FALSE
0	0	FALSE	6.63752	0	FALSE	10.3	"good"	8.458334	1.94591	12	37.8282	"male"	FALSE	FALSE
0	0	FALSE	6.63752	0	FALSE	10.3	"good"	8.458334	1.94591	12	38.8282	"male"	FALSE	FALSE
0	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	9.292266	"male"	TRUE	FALSE
1	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	10.29227	"male"	TRUE	FALSE
2	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	11.29227	"male"	TRUE	FALSE
0	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	12.29227	"male"	TRUE	FALSE
0	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	13.29227	"male"	TRUE	FALSE
1	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	7.104723	"male"	TRUE	FALSE
1	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	8.104723	"male"	TRUE	FALSE
0	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	9.104723	"male"	TRUE	FALSE
1	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	10.10472	"male"	TRUE	FALSE
0	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	11.10472	"male"	TRUE	FALSE
3	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	11.96715	"male"	TRUE	FALSE
1	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	12.96715	"male"	TRUE	FALSE
3	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	13.96715	"male"	TRUE	FALSE
1	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	14.96715	"male"	TRUE	FALSE
3	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	15.96715	"male"	TRUE	FALSE
2	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	2.956879	"female"	TRUE	FALSE
3	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	3.956879	"female"	TRUE	FALSE
0	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	4.956879	"female"	TRUE	FALSE
0	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	5.956879	"female"	TRUE	FALSE
2	0	FALSE	6.63752	0	FALSE	9.967326	"excellent"	8.458334	1.94591	12	6.956879	"female"	TRUE	FALSE
4	3.931826	FALSE	6.253829	7.600903	FALSE	9.967326	"excellent"	8.717532	1.098612	12	1.448323	"male"	TRUE	FALSE
3	3.931826	FALSE	6.253829	7.600903	FALSE	9.967326	"excellent"	8.717532	1.386294	12	2.448323	"male"	TRUE	FALSE
1	3.931826	FALSE	6.253829	7.600903	FALSE	9.967326	"excellent"	8.717532	1.386294	12	3.448323	"male"	TRUE	FALSE
2	3.931826	FALSE	6.253829	7.600903	FALSE	3.4	"excellent"	8.717532	1.098612	15	28.44627	"male"	FALSE	FALSE
0	3.931826	FALSE	6.253829	7.600903	FALSE	3.4	"excellent"	8.717532	1.386294	15	29.44627	"male"	FALSE	FALSE
0	3.931826	FALSE	6.253829	7.600903	FALSE	3.4	"excellent"	8.717532	1.386294	15	30.44627	"male"	FALSE	FALSE
0	3.931826	FALSE	6.253829	7.600903	FALSE	0	"excellent"	8.717532	1.098612	12	26.17659	"female"	FALSE	FALSE
1	3.931826	FALSE	6.253829	7.600903	FALSE	0	"excellent"	8.717532	1.386294	12	27.17659	"female"	FALSE	FALSE
4	3.931826	FALSE	6.253829	7.600903	FALSE	0	"excellent"	8.717532	1.386294	12	28.17659	"female"	FALSE	FALSE
2	0	FALSE	6.107112	0	FALSE	10.3	"good"	8.674243	1.098612	12	27.73443	"female"	FALSE	FALSE
5	0	FALSE	6.107112	0	FALSE	10.3	"good"	8.674243	1.098612	12	28.73443	"female"	FALSE	FALSE
9	0	FALSE	6.107112	0	FALSE	10.3	"good"	8.674243	1.098612	12	29.73443	"female"	FALSE	FALSE
7	0	FALSE	6.107112	0	FALSE	9.967326	"good"	8.674243	1.098612	12	2.735113	"female"	TRUE	FALSE
3	0	FALSE	6.107112	0	FALSE	9.967326	"good"	8.674243	1.098612	12	3.735113	"female"	TRUE	FALSE
4	0	FALSE	6.107112	0	FALSE	9.967326	"good"	8.674243	1.098612	12	4.735113	"female"	TRUE	FALSE
1	0	FALSE	6.107112	0	FALSE	6.9	"good"	8.674243	1.098612	12	27.00616	"male"	FALSE	FALSE
0	0	FALSE	6.107112	0	FALSE	6.9	"good"	8.674243	1.098612	12	28.00616	"male"	FALSE	FALSE
1	0	FALSE	6.107112	0	FALSE	6.9	"good"	8.674243	1.098612	12	29.00616	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.822321	1.386294	12	4.95551	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.822321	1.386294	12	5.95551	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.822321	1.386294	12	6.95551	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.822321	1.386294	12	6.841889	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.822321	1.386294	12	7.841889	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.822321	1.386294	12	8.841889	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.822321	1.386294	12	30.423	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.822321	1.386294	12	31.423	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.822321	1.386294	12	32.423	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.822321	1.386294	12	29.10335	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.822321	1.386294	12	30.10335	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.822321	1.386294	12	31.10335	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.56827	1.791759	9	37.12252	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.56827	1.791759	9	38.12252	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.56827	1.791759	9	39.12252	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.56827	1.791759	12	15.41958	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.56827	1.791759	12	16.41957	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.56827	1.791759	12	17.41957	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.56827	1.791759	12	35.85763	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.56827	1.791759	12	36.85763	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.56827	1.791759	12	37.85763	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	6.069815	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	7.069815	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	8.069816	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	4.73922	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	5.73922	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	6.73922	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	12.62149	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	13.62149	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.56827	1.791759	12	14.62149	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.911508	0.6931472	12	55.00068	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.911508	0.6931472	12	56.00068	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.911508	0.6931472	12	57.00068	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	31	"good"	8.911508	0.6931472	9	50.88296	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	31	"good"	8.911508	0.6931472	9	51.88296	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	31	"good"	8.911508	0.6931472	9	52.88296	"female"	FALSE	FALSE
5	4.564348	FALSE	4.918885	4.970179	FALSE	13.8	"good"	7.410468	0	6	60.13142	"female"	FALSE	FALSE
4	4.564348	FALSE	4.918885	4.970179	FALSE	13.8	"good"	7.410468	0	6	61.13142	"female"	FALSE	FALSE
2	4.564348	FALSE	4.918885	4.970179	FALSE	13.8	"good"	7.410468	0	6	62.13142	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.138413	1.386294	18	33.94661	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.138413	1.386294	18	34.94661	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.138413	1.386294	18	35.94661	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.138413	1.386294	16	7.74538	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.138413	1.386294	16	8.745379	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.138413	1.386294	16	9.745379	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.138413	1.386294	16	9.314168	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.138413	1.386294	16	10.31417	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.138413	1.386294	16	11.31417	"male"	TRUE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.138413	1.386294	16	33.02943	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.138413	1.386294	16	34.02943	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.138413	1.386294	16	35.02943	"female"	FALSE	FALSE
0	0	FALSE	4.832943	0	FALSE	6.9	"excellent"	9.305262	0.6931472	16	27.34565	"male"	FALSE	FALSE
0	0	FALSE	4.832943	0	FALSE	6.9	"excellent"	9.305262	0.6931472	16	28.34565	"male"	FALSE	FALSE
1	0	FALSE	4.832943	0	FALSE	6.9	"excellent"	9.305262	1.098612	16	29.34565	"male"	FALSE	FALSE
7	0	FALSE	4.832943	0	FALSE	10.3	"excellent"	9.305262	0.6931472	16	23.24435	"female"	FALSE	FALSE
1	0	FALSE	4.832943	0	FALSE	10.3	"excellent"	9.305262	0.6931472	16	24.24435	"female"	FALSE	FALSE
4	0	FALSE	4.832943	0	FALSE	10.3	"excellent"	9.305262	1.098612	16	25.24435	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.878646	1.609438	12	49.295	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.878646	1.386294	12	50.295	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.878646	1.386294	12	51.295	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	31	"good"	7.878646	1.609438	12	16.54757	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	31	"good"	7.878646	1.386294	12	17.54757	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	31	"good"	7.878646	1.386294	12	18.54757	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	7.878646	1.609438	12	13.16085	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	9.967326	"good"	7.878646	1.386294	12	14.16085	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	7.878646	1.386294	12	15.16085	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"fair"	7.878646	1.609438	12	45.4319	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"fair"	7.878646	1.386294	12	46.4319	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"fair"	7.878646	1.386294	12	47.4319	"female"	FALSE	FALSE
1	4.564348	TRUE	5.083886	5.061929	FALSE	17.2	"good"	7.898224	0	6	57.40452	"female"	FALSE	FALSE
2	4.564348	TRUE	5.083886	5.061929	FALSE	17.2	"good"	7.898224	0	6	58.40452	"female"	FALSE	FALSE
0	4.564348	TRUE	5.083886	5.061929	FALSE	17.2	"good"	7.898224	0	6	59.40452	"female"	FALSE	FALSE
11	0	FALSE	3.843316	0	FALSE	13.8	"excellent"	9.386976	1.94591	9	17.50582	"female"	TRUE	FALSE
20	0	FALSE	3.843316	0	FALSE	13.8	"excellent"	9.386976	1.94591	9	18.50582	"female"	FALSE	FALSE
0	0	FALSE	3.843316	0	TRUE	9.967326	"good"	9.386976	1.94591	9	13.48392	"male"	TRUE	FALSE
4	0	FALSE	3.843316	0	TRUE	9.967326	"good"	9.386976	1.94591	9	14.48392	"male"	TRUE	FALSE
5	0	FALSE	3.843316	0	TRUE	9.967326	"good"	9.386976	1.791759	9	15.48392	"male"	TRUE	FALSE
1	0	FALSE	3.843316	0	TRUE	3.4	"good"	9.386976	1.94591	9	43.76455	"female"	FALSE	FALSE
2	0	FALSE	3.843316	0	TRUE	3.4	"good"	9.386976	1.94591	9	44.76455	"female"	FALSE	FALSE
15	0	FALSE	3.843316	0	TRUE	3.4	"good"	9.386976	1.791759	9	45.76455	"female"	FALSE	FALSE
1	0	FALSE	3.843316	0	FALSE	3.4	"excellent"	9.386976	1.94591	11	18.45859	"male"	FALSE	FALSE
1	0	FALSE	3.843316	0	FALSE	3.4	"excellent"	9.386976	1.94591	11	19.45859	"male"	FALSE	FALSE
3	0	FALSE	3.843316	0	FALSE	3.4	"excellent"	9.386976	1.791759	11	20.45859	"male"	FALSE	FALSE
2	0	FALSE	3.843316	0	FALSE	13.8	"good"	9.386976	1.94591	6	51.83025	"male"	FALSE	FALSE
0	0	FALSE	3.843316	0	FALSE	13.8	"good"	9.386976	1.94591	6	52.83025	"male"	FALSE	FALSE
1	0	FALSE	3.843316	0	FALSE	13.8	"good"	9.386976	1.791759	6	53.83025	"male"	FALSE	FALSE
3	0	FALSE	3.843316	0	TRUE	6.9	"excellent"	9.386976	1.94591	9	14.76523	"male"	TRUE	FALSE
5	0	FALSE	3.843316	0	TRUE	6.9	"excellent"	9.386976	1.94591	9	15.76523	"male"	TRUE	FALSE
4	0	FALSE	3.843316	0	TRUE	6.9	"excellent"	9.386976	1.791759	9	16.76523	"male"	TRUE	FALSE
4	0	FALSE	3.843316	0	FALSE	9.967326	"excellent"	9.386976	1.94591	9	7.08282	"male"	TRUE	FALSE
7	0	FALSE	3.843316	0	FALSE	9.967326	"excellent"	9.386976	1.94591	9	8.08282	"male"	TRUE	FALSE
0	0	FALSE	3.843316	0	FALSE	9.967326	"excellent"	9.386976	1.791759	9	9.08282	"male"	TRUE	FALSE
6	0	FALSE	4.356709	0	FALSE	0	"good"	8.615081	1.098612	9	21.8809	"male"	FALSE	FALSE
2	0	FALSE	4.356709	0	FALSE	0	"good"	8.615081	1.098612	9	22.8809	"male"	FALSE	FALSE
3	0	FALSE	4.356709	0	FALSE	0	"good"	8.615081	1.098612	9	23.8809	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.735299	1.098612	14	26.47228	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.735299	1.098612	14	27.47228	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.735299	1.386294	14	28.47228	"male"	FALSE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.735299	1.098612	12	2.68857	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.735299	1.098612	12	3.68857	"female"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.735299	1.386294	12	4.68857	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	8.735299	1.098612	12	26.15195	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	8.735299	1.098612	12	27.15195	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	8.735299	1.386294	12	28.15195	"female"	FALSE	FALSE
1	0	FALSE	4.836282	0	FALSE	3.4	"excellent"	8.765766	0	16	24.44353	"male"	FALSE	FALSE
2	0	FALSE	4.836282	0	FALSE	3.4	"excellent"	8.765766	0	16	25.44353	"male"	FALSE	FALSE
0	0	FALSE	4.836282	0	FALSE	3.4	"excellent"	8.765766	0	16	26.44353	"male"	FALSE	FALSE
2	3.258096	FALSE	0	0	FALSE	6.9	"good"	8.881529	0	12	22.69131	"female"	FALSE	FALSE
4	3.258096	FALSE	0	0	FALSE	6.9	"good"	8.881529	0	12	23.69131	"female"	FALSE	FALSE
1	3.258096	FALSE	0	0	FALSE	6.9	"good"	8.881529	0	12	24.69131	"female"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	24.65708	"female"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	25.65708	"female"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	26.65708	"female"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	27.65708	"female"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	28.65708	"female"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	24.58864	"male"	FALSE	FALSE
9	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	25.58864	"male"	FALSE	FALSE
1	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	26.58864	"male"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	27.58864	"male"	FALSE	FALSE
0	0	FALSE	4.339902	0	FALSE	3.4	"excellent"	8.612632	0.6931472	12	28.58864	"male"	FALSE	FALSE
4	0	FALSE	5.052161	0	FALSE	9.967326	"good"	8.655215	1.098612	12	0.7282683	"female"	TRUE	FALSE
1	0	FALSE	5.052161	0	FALSE	9.967326	"good"	8.655215	1.098612	12	1.728268	"female"	TRUE	FALSE
6	0	FALSE	5.052161	0	FALSE	9.967326	"good"	8.655215	1.098612	12	2.728268	"female"	TRUE	FALSE
5	0	FALSE	5.052161	0	FALSE	9.967326	"good"	8.655215	1.098612	12	3.728268	"female"	TRUE	FALSE
5	0	FALSE	5.052161	0	FALSE	9.967326	"good"	8.655215	1.386294	12	4.728268	"female"	TRUE	FALSE
3	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	20.82957	"male"	FALSE	FALSE
3	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	21.82957	"male"	FALSE	FALSE
1	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	22.82957	"male"	FALSE	FALSE
3	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	23.82957	"male"	FALSE	FALSE
2	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.386294	12	24.82957	"male"	FALSE	FALSE
4	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	20.29295	"female"	FALSE	FALSE
3	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	21.29295	"female"	FALSE	FALSE
4	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	22.29295	"female"	FALSE	FALSE
1	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.098612	12	23.29295	"female"	FALSE	FALSE
1	0	FALSE	5.052161	0	FALSE	3.4	"good"	8.655215	1.386294	12	24.29295	"female"	FALSE	FALSE
9	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.257017	1.386294	11	18.07529	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.257017	1.386294	11	19.07529	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.257017	1.386294	11	20.07529	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.257017	1.386294	15	40.45174	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.257017	1.386294	15	41.45174	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.257017	1.386294	15	42.45174	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.257017	1.386294	14	45.1499	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.257017	1.386294	14	46.1499	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.257017	1.386294	14	47.1499	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.257017	1.386294	15	15.83025	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.257017	1.386294	15	16.83025	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.257017	1.386294	15	17.83025	"male"	TRUE	FALSE
1	3.258096	FALSE	6.215408	7.601702	FALSE	6.9	"good"	8.278639	0.6931472	14	16.45996	"female"	TRUE	FALSE
0	3.258096	FALSE	6.215408	7.601702	FALSE	6.9	"good"	8.278639	0.6931472	14	17.45996	"female"	TRUE	FALSE
1	3.258096	FALSE	6.215408	7.601702	FALSE	6.9	"good"	8.278639	0.6931472	14	18.45996	"female"	FALSE	FALSE
3	3.258096	FALSE	6.215408	7.601702	FALSE	24.1	"good"	8.278639	0.6931472	14	40.60233	"female"	FALSE	FALSE
0	3.258096	FALSE	6.215408	7.601702	FALSE	24.1	"good"	8.278639	0.6931472	14	41.60233	"female"	FALSE	FALSE
2	3.258096	FALSE	6.215408	7.601702	FALSE	24.1	"good"	8.278639	0.6931472	14	42.60233	"female"	FALSE	FALSE
0	0	FALSE	5.949392	0	FALSE	9.967326	"excellent"	8.674844	1.386294	10	9.845311	"male"	TRUE	FALSE
0	0	FALSE	5.949392	0	FALSE	9.967326	"excellent"	8.674844	1.386294	10	10.84531	"male"	TRUE	FALSE
0	0	FALSE	5.949392	0	FALSE	9.967326	"excellent"	8.674844	1.386294	10	11.84531	"male"	TRUE	FALSE
3	0	FALSE	5.949392	0	TRUE	24.1	"good"	8.674844	1.386294	9	37.96304	"male"	FALSE	FALSE
0	0	FALSE	5.949392	0	TRUE	24.1	"good"	8.674844	1.386294	9	38.96304	"male"	FALSE	FALSE
4	0	FALSE	5.949392	0	TRUE	24.1	"good"	8.674844	1.386294	9	39.96304	"male"	FALSE	FALSE
3	0	FALSE	5.949392	0	FALSE	9.967326	"excellent"	8.674844	1.386294	10	12.29569	"male"	TRUE	FALSE
0	0	FALSE	5.949392	0	FALSE	9.967326	"excellent"	8.674844	1.386294	10	13.29569	"male"	TRUE	FALSE
2	0	FALSE	5.949392	0	FALSE	9.967326	"excellent"	8.674844	1.386294	10	14.29569	"male"	TRUE	FALSE
3	0	FALSE	5.949392	0	TRUE	20.7	"good"	8.674844	1.386294	10	48.32581	"female"	FALSE	FALSE
0	0	FALSE	5.949392	0	TRUE	20.7	"good"	8.674844	1.386294	10	49.32581	"female"	FALSE	FALSE
3	0	FALSE	5.949392	0	TRUE	20.7	"good"	8.674844	1.386294	10	50.32581	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	20.7	"good"	8.514927	1.386294	10	30.57084	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	20.7	"good"	8.514927	1.098612	10	31.57084	"female"	FALSE	FALSE
10	0	FALSE	0	0	TRUE	20.7	"good"	8.514927	0	10	32.57084	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	20.7	"good"	8.514927	0	10	33.57084	"female"	FALSE	FALSE
13	0	FALSE	0	0	TRUE	20.7	"good"	8.514927	0	10	34.57084	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.514927	1.386294	10	7.288159	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.514927	1.098612	10	8.288158	"male"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	10.3	"fair"	8.514927	1.386294	6	46.66667	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	9.967326	"good"	8.514927	1.386294	10	8.542094	"male"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"good"	8.514927	1.098612	10	9.542094	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"fair"	7.116187	0	6	40.78029	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"fair"	7.116187	0	6	41.78029	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"fair"	7.116187	0	6	42.78029	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"fair"	7.116187	0	6	43.78029	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	10.3	"fair"	7.116187	0	6	44.78029	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	8.982472	1.609438	12	34.26968	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	8.982472	1.609438	12	35.26968	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	8.982472	1.386294	12	36.26968	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.609438	10	7.624915	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.609438	10	8.624914	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.386294	10	9.624914	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.609438	10	13.14168	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.609438	10	14.14168	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.609438	10	10.89938	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.609438	10	11.89938	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.982472	1.386294	10	12.89938	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.982472	1.609438	10	35.70979	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.982472	1.609438	10	36.70979	"female"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.982472	1.386294	10	37.70979	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.343718	0.6931472	16	58.52977	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.343718	0.6931472	16	59.52977	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.343718	0.6931472	14	59.37029	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.343718	0.6931472	14	60.37029	"female"	FALSE	FALSE
3	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	12.73922	"female"	TRUE	FALSE
9	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	13.73922	"female"	TRUE	FALSE
5	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	14.73922	"female"	TRUE	FALSE
3	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	15.73922	"female"	TRUE	FALSE
2	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	16.73922	"female"	TRUE	FALSE
2	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	11.4141	"male"	TRUE	FALSE
2	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	12.4141	"male"	TRUE	FALSE
1	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	13.4141	"male"	TRUE	FALSE
1	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	14.4141	"male"	TRUE	FALSE
2	0	FALSE	6.061457	0	FALSE	9.967326	"excellent"	8.898454	1.791759	3	15.4141	"male"	TRUE	FALSE
3	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	14.45585	"female"	TRUE	FALSE
6	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	15.45585	"female"	TRUE	FALSE
6	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	16.45585	"female"	TRUE	FALSE
3	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	17.45585	"female"	TRUE	FALSE
1	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	18.45585	"female"	FALSE	FALSE
4	0	FALSE	6.061457	0	FALSE	10.3	"good"	8.898454	1.791759	10	43.17317	"male"	FALSE	FALSE
2	0	FALSE	6.061457	0	FALSE	10.3	"good"	8.898454	1.791759	10	44.17317	"male"	FALSE	FALSE
1	0	FALSE	6.061457	0	FALSE	10.3	"good"	8.898454	1.791759	10	45.17317	"male"	FALSE	FALSE
2	0	FALSE	6.061457	0	FALSE	10.3	"good"	8.898454	1.791759	10	46.17317	"male"	FALSE	FALSE
1	0	FALSE	6.061457	0	FALSE	10.3	"good"	8.898454	1.791759	10	47.17317	"male"	FALSE	FALSE
3	0	FALSE	6.061457	0	FALSE	6.9	"excellent"	8.898454	1.791759	3	14.45585	"female"	TRUE	FALSE
6	0	FALSE	6.061457	0	FALSE	6.9	"excellent"	8.898454	1.791759	3	15.45585	"female"	TRUE	FALSE
7	0	FALSE	6.061457	0	FALSE	6.9	"excellent"	8.898454	1.791759	3	16.45585	"female"	TRUE	FALSE
0	0	FALSE	6.061457	0	FALSE	6.9	"excellent"	8.898454	1.791759	3	17.45585	"female"	TRUE	FALSE
0	0	FALSE	6.061457	0	FALSE	6.9	"excellent"	8.898454	1.791759	3	18.45585	"female"	FALSE	FALSE
3	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	39.57563	"female"	FALSE	FALSE
0	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	40.57563	"female"	FALSE	FALSE
0	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	41.57563	"female"	FALSE	FALSE
2	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	42.57563	"female"	FALSE	FALSE
1	0	FALSE	6.061457	0	FALSE	3.4	"excellent"	8.898454	1.791759	3	43.57563	"female"	FALSE	FALSE
5	0	FALSE	6.865057	0	FALSE	3.4	"excellent"	9.077342	1.386294	9	37.21013	"male"	FALSE	FALSE
1	0	FALSE	6.865057	0	FALSE	3.4	"excellent"	9.077342	1.386294	9	38.21013	"male"	FALSE	FALSE
4	0	FALSE	6.865057	0	FALSE	3.4	"excellent"	9.077342	1.386294	9	39.21013	"male"	FALSE	FALSE
9	0	FALSE	6.865057	0	FALSE	3.4	"good"	9.077342	1.386294	10	30.68583	"female"	FALSE	FALSE
2	0	FALSE	6.865057	0	FALSE	3.4	"good"	9.077342	1.386294	10	31.68583	"female"	FALSE	FALSE
3	0	FALSE	6.865057	0	FALSE	3.4	"good"	9.077342	1.386294	10	32.68583	"female"	FALSE	FALSE
2	0	FALSE	6.865057	0	FALSE	9.967326	"good"	9.077342	1.386294	10	4.785763	"male"	TRUE	FALSE
1	0	FALSE	6.865057	0	FALSE	9.967326	"good"	9.077342	1.386294	10	5.785763	"male"	TRUE	FALSE
0	0	FALSE	6.865057	0	FALSE	9.967326	"good"	9.077342	1.386294	10	6.785763	"male"	TRUE	FALSE
2	0	FALSE	6.865057	0	FALSE	9.967326	"good"	9.077342	1.386294	10	3.271732	"male"	TRUE	FALSE
3	0	FALSE	6.865057	0	FALSE	9.967326	"good"	9.077342	1.386294	10	4.271732	"male"	TRUE	FALSE
4	0	FALSE	6.865057	0	FALSE	9.967326	"good"	9.077342	1.386294	10	5.271732	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.367555	1.94591	12	15.11294	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.367555	1.94591	12	16.11294	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.367555	1.94591	12	17.11294	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"excellent"	9.367555	1.94591	12	40.86516	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"excellent"	9.367555	1.94591	12	41.86516	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"excellent"	9.367555	1.94591	12	42.86516	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	12.44627	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	13.44627	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	14.44627	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"excellent"	9.367555	1.94591	12	41.78234	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"excellent"	9.367555	1.94591	12	42.78234	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"excellent"	9.367555	1.94591	12	43.78234	"male"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	7.474333	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	8.474333	"female"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	9.474333	"female"	TRUE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	10.22587	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	11.22587	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.367555	1.94591	12	12.22587	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.367555	1.94591	12	13.88912	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.367555	1.94591	12	14.88912	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.367555	1.94591	12	15.88912	"female"	TRUE	FALSE
1	3.931826	FALSE	6.558198	7.251345	FALSE	9.967326	"excellent"	8.177665	0.6931472	10	3.937029	"female"	TRUE	FALSE
2	3.931826	FALSE	6.558198	7.251345	FALSE	9.967326	"excellent"	8.177665	0.6931472	10	4.937029	"female"	TRUE	FALSE
1	3.931826	FALSE	6.558198	7.251345	FALSE	9.967326	"excellent"	8.177665	0.6931472	10	5.937029	"female"	TRUE	FALSE
2	3.931826	FALSE	6.558198	7.251345	FALSE	6.9	"good"	8.177665	0.6931472	10	21.16632	"female"	FALSE	FALSE
3	3.931826	FALSE	6.558198	7.251345	FALSE	6.9	"good"	8.177665	0.6931472	10	22.16632	"female"	FALSE	FALSE
5	3.931826	FALSE	6.558198	7.251345	FALSE	6.9	"good"	8.177665	0.6931472	10	23.16632	"female"	FALSE	FALSE
7	3.931826	FALSE	6.599871	7.293018	TRUE	20.7	"fair"	8.129408	0	10	47.90691	"female"	FALSE	FALSE
3	3.931826	FALSE	6.599871	7.293018	TRUE	20.7	"fair"	8.129408	0	10	48.90691	"female"	FALSE	FALSE
2	3.931826	FALSE	6.599871	7.293018	TRUE	20.7	"fair"	8.129408	0	10	49.90691	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	8.985626	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	9.985626	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	10.98563	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	8.813463	1.609438	12	32.20808	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	8.813463	1.609438	12	33.20808	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	8.813463	1.609438	12	34.20808	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	6.299795	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	7.299795	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	8.299794	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.813463	1.609438	15	33.36345	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.813463	1.609438	15	34.36345	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.813463	1.609438	15	35.36345	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	3.887748	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	4.887748	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"fair"	8.813463	1.609438	12	5.887748	"female"	TRUE	FALSE
0	4.564348	FALSE	6.39693	6.448223	FALSE	20.7	"excellent"	8.866678	0	18	38.03422	"female"	FALSE	FALSE
1	4.564348	FALSE	6.39693	6.448223	FALSE	20.7	"excellent"	8.866678	0	18	39.03422	"female"	FALSE	FALSE
2	4.564348	FALSE	6.39693	6.448223	FALSE	20.7	"excellent"	8.866678	0	18	40.03422	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.960503	0.6931472	7	54.42026	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.960503	0.6931472	7	55.42026	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.960503	0.6931472	7	56.42026	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.960503	0.6931472	9	16.96099	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.960503	0.6931472	9	17.96099	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.960503	0.6931472	9	18.96099	"female"	FALSE	FALSE
1	4.564348	FALSE	6.148468	6.199761	FALSE	9.967326	"excellent"	8.572304	1.098612	12	7.655031	"female"	TRUE	FALSE
2	4.564348	FALSE	6.148468	6.199761	FALSE	9.967326	"excellent"	8.572304	1.098612	12	8.655031	"female"	TRUE	FALSE
2	4.564348	FALSE	6.148468	6.199761	FALSE	9.967326	"excellent"	8.572304	1.098612	12	9.655031	"female"	TRUE	FALSE
4	4.564348	FALSE	6.148468	6.199761	FALSE	9.967326	"excellent"	8.572304	1.098612	12	5.385353	"male"	TRUE	FALSE
2	4.564348	FALSE	6.148468	6.199761	FALSE	9.967326	"excellent"	8.572304	1.098612	12	6.385353	"male"	TRUE	FALSE
3	4.564348	FALSE	6.148468	6.199761	FALSE	9.967326	"excellent"	8.572304	1.098612	12	7.385353	"male"	TRUE	FALSE
6	4.564348	FALSE	6.148468	6.199761	FALSE	6.9	"excellent"	8.572304	1.098612	12	41.07597	"female"	FALSE	FALSE
2	4.564348	FALSE	6.148468	6.199761	FALSE	6.9	"excellent"	8.572304	1.098612	12	42.07597	"female"	FALSE	FALSE
0	4.564348	FALSE	6.148468	6.199761	FALSE	6.9	"excellent"	8.572304	1.098612	12	43.07597	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.760411	0	17	25.56058	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.760411	0	17	26.56058	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.760411	0	17	27.56058	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.150877	1.609438	16	45.20465	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.150877	1.609438	16	46.20465	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.150877	1.609438	16	47.20465	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.150877	1.609438	12	14.83368	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.150877	1.609438	12	15.83368	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.150877	1.609438	12	16.83368	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.150877	1.609438	12	17.57153	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.150877	1.609438	12	18.57153	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.150877	1.609438	12	19.57153	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.150877	1.609438	12	15.9781	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.150877	1.609438	12	16.9781	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.150877	1.609438	12	17.9781	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.150877	1.609438	12	40.44079	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.150877	1.609438	12	41.44079	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.150877	1.609438	12	42.44079	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.162019	1.609438	12	14.80082	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.162019	1.609438	12	15.80082	"female"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.162019	1.609438	12	16.80082	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.162019	1.609438	7	38.77071	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.162019	1.609438	7	39.77071	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.162019	1.609438	7	40.77071	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.162019	1.609438	12	11.0308	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.162019	1.609438	12	12.0308	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.162019	1.609438	12	13.0308	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.162019	1.609438	12	16.00274	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.162019	1.609438	12	17.00274	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.162019	1.609438	12	18.00274	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.162019	1.609438	12	36.04654	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.162019	1.609438	12	37.04654	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.162019	1.609438	12	38.04654	"female"	FALSE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	9.277243	1.386294	12	10.73238	"male"	TRUE	FALSE
3	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	9.277243	1.386294	12	11.73238	"male"	TRUE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	9.277243	1.386294	12	12.73238	"male"	TRUE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	17.2	"excellent"	9.277243	1.386294	12	34.90486	"female"	FALSE	FALSE
2	4.564348	TRUE	6.200184	6.160541	FALSE	17.2	"excellent"	9.277243	1.386294	12	35.90486	"female"	FALSE	FALSE
2	4.564348	TRUE	6.200184	6.160541	FALSE	17.2	"excellent"	9.277243	1.386294	12	36.90486	"female"	FALSE	FALSE
1	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	9.277243	1.386294	12	8.807666	"female"	TRUE	FALSE
2	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	9.277243	1.386294	12	9.807666	"female"	TRUE	FALSE
1	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	9.277243	1.386294	12	10.80767	"female"	TRUE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	3.4	"excellent"	9.277243	1.386294	16	35.11841	"male"	FALSE	FALSE
2	4.564348	TRUE	6.200184	6.160541	FALSE	3.4	"excellent"	9.277243	1.386294	16	36.11841	"male"	FALSE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	3.4	"excellent"	9.277243	1.386294	16	37.11841	"male"	FALSE	FALSE
0	0	FALSE	4.922023	0	TRUE	24.1	"good"	8.51622	0	12	59.55647	"female"	FALSE	FALSE
0	0	FALSE	4.922023	0	TRUE	24.1	"good"	8.51622	0	12	60.55647	"female"	FALSE	FALSE
0	0	FALSE	4.922023	0	TRUE	24.1	"good"	8.51622	0	12	61.55647	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"excellent"	6.335143	0.6931472	9	14.3217	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"excellent"	6.335143	0.6931472	9	15.3217	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	3.4	"excellent"	6.335143	0.6931472	9	16.3217	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	6.335143	0.6931472	9	44.70363	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	6.335143	0.6931472	9	45.70363	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	6.335143	0.6931472	9	46.70363	"female"	FALSE	FALSE
7	0	FALSE	5.45018	0	FALSE	6.9	"excellent"	8.881529	1.098612	11	14.68309	"female"	TRUE	FALSE
6	0	FALSE	5.45018	0	FALSE	6.9	"excellent"	8.881529	1.098612	11	15.68309	"female"	TRUE	FALSE
3	0	FALSE	5.45018	0	FALSE	6.9	"excellent"	8.881529	1.098612	11	16.68309	"female"	TRUE	FALSE
1	0	FALSE	5.45018	0	FALSE	3.4	"excellent"	8.881529	1.098612	10	42.00137	"male"	FALSE	FALSE
1	0	FALSE	5.45018	0	FALSE	3.4	"excellent"	8.881529	1.098612	10	43.00137	"male"	FALSE	FALSE
3	0	FALSE	5.45018	0	FALSE	3.4	"excellent"	8.881529	1.098612	10	44.00137	"male"	FALSE	FALSE
7	0	FALSE	5.45018	0	FALSE	6.9	"fair"	8.881529	1.098612	11	38.33812	"female"	FALSE	FALSE
4	0	FALSE	5.45018	0	FALSE	6.9	"fair"	8.881529	1.098612	11	39.33812	"female"	FALSE	FALSE
2	0	FALSE	5.45018	0	FALSE	6.9	"fair"	8.881529	1.098612	11	40.33812	"female"	FALSE	FALSE
4	0	FALSE	5.45018	0	FALSE	20.7	"good"	8.717121	0.6931472	7	60.26283	"male"	FALSE	FALSE
9	0	FALSE	5.45018	0	FALSE	20.7	"good"	8.717121	0.6931472	7	61.26283	"male"	FALSE	FALSE
14	0	FALSE	5.45018	0	FALSE	20.7	"good"	8.717121	0.6931472	7	62.26283	"male"	FALSE	FALSE
21	0	FALSE	5.45018	0	TRUE	34.5	"poor"	8.717121	0.6931472	10	56.47912	"female"	FALSE	FALSE
6	0	FALSE	5.45018	0	TRUE	34.5	"poor"	8.717121	0.6931472	10	57.47912	"female"	FALSE	FALSE
6	0	FALSE	5.45018	0	TRUE	34.5	"poor"	8.717121	0.6931472	10	58.47912	"female"	FALSE	FALSE
2	4.564348	FALSE	6.818924	6.870217	FALSE	10.3	"fair"	7.929743	1.098612	9	19.59754	"female"	FALSE	FALSE
6	4.564348	FALSE	6.818924	6.870217	FALSE	10.3	"fair"	7.929743	1.098612	9	20.59754	"female"	FALSE	FALSE
1	4.564348	FALSE	6.818924	6.870217	FALSE	10.3	"fair"	7.929743	1.386294	9	21.59754	"female"	FALSE	FALSE
1	4.564348	FALSE	6.818924	6.870217	FALSE	10.3	"fair"	7.929743	1.386294	9	22.59754	"female"	FALSE	FALSE
5	4.564348	FALSE	6.818924	6.870217	FALSE	10.3	"fair"	7.929743	1.609438	9	23.59754	"female"	FALSE	FALSE
7	4.564348	FALSE	6.818924	6.870217	FALSE	9.967326	"good"	7.929743	1.098612	9	1.149897	"female"	TRUE	FALSE
4	4.564348	FALSE	6.818924	6.870217	FALSE	9.967326	"good"	7.929743	1.098612	9	2.149897	"female"	TRUE	FALSE
2	4.564348	FALSE	6.818924	6.870217	FALSE	9.967326	"good"	7.929743	1.386294	9	3.149897	"female"	TRUE	FALSE
2	4.564348	FALSE	6.818924	6.870217	FALSE	9.967326	"good"	7.929743	1.386294	9	4.149897	"female"	TRUE	FALSE
3	4.564348	FALSE	6.818924	6.870217	FALSE	9.967326	"good"	7.929743	1.609438	9	5.149897	"female"	TRUE	FALSE
3	4.564348	FALSE	6.818924	6.870217	FALSE	3.4	"excellent"	7.929743	1.098612	12	20.71184	"male"	FALSE	FALSE
2	4.564348	FALSE	6.818924	6.870217	FALSE	3.4	"excellent"	7.929743	1.098612	12	21.71184	"male"	FALSE	FALSE
0	4.564348	FALSE	6.818924	6.870217	FALSE	3.4	"excellent"	7.929743	1.386294	12	22.71184	"male"	FALSE	FALSE
1	4.564348	FALSE	6.818924	6.870217	FALSE	3.4	"excellent"	7.929743	1.386294	12	23.71184	"male"	FALSE	FALSE
3	4.564348	FALSE	6.818924	6.870217	FALSE	3.4	"excellent"	7.929743	1.609438	12	24.71184	"male"	FALSE	FALSE
3	4.564348	TRUE	5.600494	5.061929	FALSE	3.4	"excellent"	7.472371	0	16	25.7796	"female"	FALSE	FALSE
4	4.564348	TRUE	5.600494	5.061929	FALSE	3.4	"excellent"	7.472371	0	16	26.7796	"female"	FALSE	FALSE
3	4.564348	TRUE	5.600494	5.061929	FALSE	3.4	"excellent"	7.472371	0	16	27.7796	"female"	FALSE	FALSE
15	0	FALSE	0	0	TRUE	27.6	"fair"	8.262124	0	12	20.35044	"female"	FALSE	FALSE
11	0	FALSE	0	0	TRUE	27.6	"fair"	8.262124	0	12	21.35044	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	27.6	"fair"	8.262124	0	12	22.35044	"female"	FALSE	FALSE
0	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.609438	13	13.24846	"male"	TRUE	TRUE
2	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.609438	13	14.24846	"male"	TRUE	TRUE
1	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.791759	13	15.24846	"male"	TRUE	TRUE
0	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.609438	13	8.837782	"female"	TRUE	TRUE
0	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.609438	13	9.837782	"female"	TRUE	TRUE
2	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.791759	13	10.83778	"female"	TRUE	TRUE
0	4.564348	FALSE	6.620073	6.671367	FALSE	10.3	"excellent"	9.246778	1.609438	13	33.94935	"female"	FALSE	TRUE
1	4.564348	FALSE	6.620073	6.671367	FALSE	10.3	"excellent"	9.246778	1.609438	13	34.94935	"female"	FALSE	TRUE
2	4.564348	FALSE	6.620073	6.671367	FALSE	10.3	"excellent"	9.246778	1.791759	13	35.94935	"female"	FALSE	TRUE
0	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.609438	13	6.850103	"female"	TRUE	TRUE
1	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.609438	13	7.850103	"female"	TRUE	TRUE
0	4.564348	FALSE	6.620073	6.671367	FALSE	9.967326	"excellent"	9.246778	1.791759	13	8.850102	"female"	TRUE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	3.895962	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	4.895962	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	5.895962	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	6.895962	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	7.895962	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.59686	1.386294	12	30.26968	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.59686	1.386294	12	31.26968	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.59686	1.386294	12	32.26968	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.59686	1.386294	12	33.26968	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.59686	1.386294	12	34.26968	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	6.96783	"male"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	7.96783	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	8.967831	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	9.967831	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.59686	1.386294	12	10.96783	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.59686	1.386294	12	28.01643	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.59686	1.386294	12	29.01643	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.59686	1.386294	12	30.01643	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.59686	1.386294	12	31.01643	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.59686	1.386294	12	32.01643	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.696493	1.098612	12	0.9856263	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.696493	1.386294	12	1.985626	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.696493	1.386294	12	2.985626	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.696493	1.098612	12	25.13347	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.696493	1.386294	12	26.13347	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.696493	1.386294	12	27.13347	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.696493	1.098612	17	29.11157	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.696493	1.386294	17	30.11157	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.696493	1.386294	17	31.11157	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	8.407681	1.609438	11	29.60712	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	8.407681	1.791759	11	30.60712	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	8.407681	1.791759	11	31.60712	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.407681	1.609438	11	8.971937	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.407681	1.791759	11	9.971937	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.407681	1.791759	11	10.97194	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	9.967326	"fair"	8.407681	1.791759	11	11.20123	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"fair"	8.407681	1.791759	11	12.20123	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.407681	1.609438	11	6.863792	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"good"	8.407681	1.791759	11	7.863792	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	8.407681	1.791759	11	8.863791	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	11.38125	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	12.38125	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	13.38125	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	8.262834	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	9.262834	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	10.26283	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	7.214237	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	8.214237	"female"	TRUE	FALSE
38	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	9.214237	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	9.952087	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	10.95209	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.482912	1.791759	9	11.95209	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	10.3	"good"	8.482912	1.791759	9	33.24572	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	10.3	"good"	8.482912	1.791759	9	34.24572	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	10.3	"good"	8.482912	1.791759	9	35.24572	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	3.4	"excellent"	8.482912	1.791759	14	33.26762	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.482912	1.791759	14	34.26762	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	8.482912	1.791759	14	35.26762	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	8.063493	1.791759	12	7.192334	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.063493	1.791759	12	5.489391	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.063493	1.791759	12	4.580424	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"good"	8.063493	1.791759	12	3.268994	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.063493	1.791759	12	1.555099	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	34.5	"good"	8.063493	1.791759	12	30.12731	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	34.5	"good"	8.063493	0	12	31.12731	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	34.5	"good"	8.063493	0	12	32.12731	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"excellent"	9.289835	0.6931472	9	25.63176	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"excellent"	9.289835	0.6931472	9	26.63176	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"excellent"	9.289835	1.098612	9	27.63176	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.289835	0.6931472	12	29.02396	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.289835	0.6931472	12	30.02396	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.289835	1.098612	12	31.02396	"male"	FALSE	FALSE
1	0	FALSE	6.239028	0	FALSE	10.3	"good"	9.384205	1.386294	12	34.69131	"female"	FALSE	FALSE
1	0	FALSE	6.239028	0	FALSE	10.3	"good"	9.384205	1.386294	12	35.69131	"female"	FALSE	FALSE
2	0	FALSE	6.239028	0	FALSE	10.3	"good"	9.384205	1.386294	12	36.69131	"female"	FALSE	FALSE
6	0	FALSE	6.239028	0	FALSE	3.4	"good"	9.384205	1.386294	12	33.51677	"female"	FALSE	FALSE
2	0	FALSE	6.239028	0	FALSE	3.4	"good"	9.384205	1.386294	12	34.51677	"female"	FALSE	FALSE
4	0	FALSE	6.239028	0	FALSE	3.4	"good"	9.384205	1.386294	12	35.51677	"female"	FALSE	FALSE
3	0	FALSE	6.239028	0	FALSE	20.7	"excellent"	9.384205	1.386294	14	50.83915	"male"	FALSE	FALSE
3	0	FALSE	6.239028	0	FALSE	20.7	"excellent"	9.384205	1.386294	14	51.83915	"male"	FALSE	FALSE
4	0	FALSE	6.239028	0	FALSE	20.7	"excellent"	9.384205	1.386294	14	52.83915	"male"	FALSE	FALSE
8	0	FALSE	6.239028	0	TRUE	41.4	"good"	9.384205	1.386294	12	56.49281	"female"	FALSE	FALSE
7	0	FALSE	6.239028	0	TRUE	41.4	"good"	9.384205	1.386294	12	57.49281	"female"	FALSE	FALSE
4	0	FALSE	6.239028	0	TRUE	41.4	"good"	9.384205	1.386294	12	58.49281	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	FALSE	6.9	"good"	8.01138	0.6931472	11	44.90075	"male"	FALSE	FALSE
7	4.564348	TRUE	0	5.755076	FALSE	6.9	"good"	8.01138	0.6931472	11	45.90075	"male"	FALSE	FALSE
6	4.564348	TRUE	0	5.755076	FALSE	6.9	"good"	8.01138	0.6931472	11	46.90075	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	6.9	"good"	8.01138	0.6931472	11	47.90075	"male"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	FALSE	6.9	"good"	8.01138	0.6931472	11	48.90075	"male"	FALSE	FALSE
4	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.01138	0.6931472	9	25.14716	"female"	FALSE	FALSE
5	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.01138	0.6931472	9	26.14716	"female"	FALSE	FALSE
5	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.01138	0.6931472	9	27.14716	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.01138	0.6931472	9	28.14716	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.3	"good"	8.01138	0.6931472	9	29.14716	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	12	29.5332	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	12	30.5332	"female"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	12	31.5332	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	12	32.5332	"female"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	12	33.5332	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	5.546885	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	6.546885	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	7.546885	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	8.546885	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	9.546885	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	14	33.40178	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	14	34.40178	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	14	35.40178	"male"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	14	36.40178	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.611459	1.386294	14	37.40178	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	4.205339	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	5.205339	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	6.205339	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	7.205339	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.611459	1.386294	12	8.205338	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"fair"	7.526882	0	12	59.51814	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"fair"	7.526882	0	12	60.51814	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"fair"	7.526882	0	12	61.51814	"female"	FALSE	FALSE
18	3.258096	FALSE	6.017132	7.403427	FALSE	17.2	"fair"	7.640209	1.098612	7	31.02259	"female"	FALSE	TRUE
11	3.258096	FALSE	6.017132	7.403427	FALSE	17.2	"fair"	7.640209	1.098612	7	32.02259	"female"	FALSE	TRUE
9	3.258096	FALSE	6.017132	7.403427	FALSE	17.2	"fair"	7.640209	1.098612	7	33.02259	"female"	FALSE	TRUE
3	3.258096	FALSE	6.017132	7.403427	FALSE	9.967326	"good"	7.640209	1.098612	7	7.737166	"female"	TRUE	TRUE
2	3.258096	FALSE	6.017132	7.403427	FALSE	9.967326	"good"	7.640209	1.098612	7	8.737166	"female"	TRUE	TRUE
2	3.258096	FALSE	6.017132	7.403427	FALSE	9.967326	"good"	7.640209	1.098612	7	9.737166	"female"	TRUE	TRUE
7	3.258096	FALSE	6.017132	7.403427	FALSE	9.967326	"excellent"	7.640209	1.098612	7	1.549623	"male"	TRUE	TRUE
7	3.258096	FALSE	6.017132	7.403427	FALSE	9.967326	"excellent"	7.640209	1.098612	7	2.549623	"male"	TRUE	TRUE
20	3.258096	FALSE	6.017132	7.403427	FALSE	9.967326	"excellent"	7.640209	1.098612	7	3.549623	"male"	TRUE	TRUE
1	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"good"	8.343357	0	12	54.94867	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"good"	8.343357	0	12	55.94867	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"good"	8.343357	0	12	56.94867	"female"	FALSE	FALSE
0	4.564348	FALSE	6.185694	6.236988	FALSE	0	"excellent"	8.971047	0.6931472	12	28.64887	"male"	FALSE	FALSE
0	4.564348	FALSE	6.185694	6.236988	FALSE	0	"excellent"	8.971047	0.6931472	12	29.64887	"male"	FALSE	FALSE
1	4.564348	FALSE	6.185694	6.236988	FALSE	0	"excellent"	8.971047	0.6931472	12	30.64887	"male"	FALSE	FALSE
0	4.564348	FALSE	6.185694	6.236988	FALSE	0	"excellent"	8.971047	0.6931472	12	31.64887	"male"	FALSE	FALSE
0	4.564348	FALSE	6.185694	6.236988	FALSE	0	"excellent"	8.971047	0.6931472	12	32.64887	"male"	FALSE	FALSE
1	4.564348	FALSE	6.185694	6.236988	TRUE	6.9	"good"	8.971047	0.6931472	12	28.62971	"female"	FALSE	FALSE
0	4.564348	FALSE	6.185694	6.236988	TRUE	6.9	"good"	8.971047	0.6931472	12	29.62971	"female"	FALSE	FALSE
1	4.564348	FALSE	6.185694	6.236988	TRUE	6.9	"good"	8.971047	0.6931472	12	30.62971	"female"	FALSE	FALSE
0	4.564348	FALSE	6.185694	6.236988	TRUE	6.9	"good"	8.971047	0.6931472	12	31.62971	"female"	FALSE	FALSE
3	4.564348	FALSE	6.185694	6.236988	TRUE	6.9	"good"	8.971047	0.6931472	12	32.62971	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.483506	1.386294	12	60.5065	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.483506	1.386294	12	61.5065	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.483506	1.386294	12	62.5065	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.483506	1.386294	13	51.22792	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.483506	1.386294	13	52.22792	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.483506	1.386294	13	53.22792	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.483506	1.386294	11	18.35181	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.483506	1.386294	11	19.35181	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.483506	1.386294	11	20.35181	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.483506	1.386294	13	17.1718	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.483506	1.386294	13	18.1718	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.483506	1.386294	13	19.1718	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.594339	0	10	24.01917	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.594339	0	10	25.01917	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.594339	0	10	26.01917	"male"	FALSE	FALSE
11	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.364443	1.791759	9	16.64887	"female"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.364443	1.791759	9	17.64887	"female"	TRUE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.364443	1.791759	9	18.64887	"female"	FALSE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.364443	1.791759	9	19.64887	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.364443	1.791759	9	20.64887	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.364443	1.791759	9	15.72074	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.364443	1.791759	9	16.72074	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.364443	1.791759	9	17.72074	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.364443	1.791759	9	18.72074	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.364443	1.791759	9	19.72074	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.364443	1.791759	9	8.711842	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.364443	1.791759	9	9.711842	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.364443	1.791759	9	10.71184	"female"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.364443	1.791759	9	11.71184	"female"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.364443	1.791759	9	12.71184	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.364443	1.791759	5	41.53046	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.364443	1.791759	5	42.53046	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.364443	1.791759	5	43.53046	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.364443	1.791759	5	44.53046	"male"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.364443	1.791759	5	45.53046	"male"	FALSE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.364443	1.791759	9	39.3128	"female"	FALSE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.364443	1.791759	9	40.3128	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.364443	1.791759	9	41.3128	"female"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.364443	1.791759	9	42.3128	"female"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.364443	1.791759	9	43.3128	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.364443	1.791759	9	17.64545	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.364443	1.791759	9	18.64545	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.364443	1.791759	9	19.64545	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.364443	1.791759	9	20.64545	"male"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.364443	1.791759	9	21.64545	"male"	FALSE	FALSE
2	0	FALSE	3.594569	0	FALSE	6.9	"good"	9.150316	1.098612	11	18.47502	"female"	FALSE	FALSE
3	0	FALSE	3.594569	0	FALSE	6.9	"good"	9.150316	1.098612	11	19.47502	"female"	FALSE	FALSE
1	0	FALSE	3.594569	0	FALSE	6.9	"good"	9.150316	1.098612	11	20.47502	"female"	FALSE	FALSE
3	0	FALSE	3.594569	0	FALSE	3.4	"excellent"	9.150316	1.098612	8	60.98289	"male"	FALSE	FALSE
4	0	FALSE	3.594569	0	FALSE	3.4	"excellent"	9.150316	1.098612	8	61.98289	"male"	FALSE	FALSE
4	0	FALSE	3.594569	0	FALSE	3.4	"excellent"	9.150316	1.098612	8	62.98289	"male"	FALSE	FALSE
1	0	FALSE	3.594569	0	FALSE	10.3	"good"	9.150316	1.098612	12	57.59343	"female"	FALSE	FALSE
3	0	FALSE	3.594569	0	FALSE	10.3	"good"	9.150316	1.098612	12	58.59343	"female"	FALSE	FALSE
1	0	FALSE	3.594569	0	FALSE	10.3	"good"	9.150316	1.098612	12	59.59343	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.231505	1.386294	12	5.71937	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.231505	1.386294	12	6.71937	"male"	TRUE	FALSE
44	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.231505	1.386294	12	7.71937	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.231505	1.386294	12	33.72758	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.231505	1.386294	12	34.72758	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.231505	1.386294	12	35.72758	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.231505	1.386294	12	16.30664	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.231505	1.386294	12	17.30664	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.231505	1.386294	12	18.30664	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.231505	1.386294	11	34.69405	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.231505	1.386294	11	35.69405	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.231505	1.386294	11	36.69405	"male"	FALSE	FALSE
7	0	FALSE	5.917603	0	FALSE	10.3	"good"	8.630281	1.386294	8	28.46544	"male"	FALSE	FALSE
6	0	FALSE	5.917603	0	FALSE	10.3	"good"	8.630281	1.386294	8	29.46544	"male"	FALSE	FALSE
10	0	FALSE	5.917603	0	FALSE	10.3	"good"	8.630281	1.386294	8	30.46544	"male"	FALSE	FALSE
0	0	FALSE	5.917603	0	FALSE	9.967326	"excellent"	8.630281	1.386294	8	6.291581	"male"	TRUE	FALSE
2	0	FALSE	5.917603	0	FALSE	9.967326	"excellent"	8.630281	1.386294	8	7.291581	"male"	TRUE	FALSE
2	0	FALSE	5.917603	0	FALSE	9.967326	"excellent"	8.630281	1.386294	8	8.291581	"male"	TRUE	FALSE
1	0	FALSE	5.917603	0	FALSE	9.967326	"excellent"	8.630281	1.386294	8	4.692676	"male"	TRUE	FALSE
3	0	FALSE	5.917603	0	FALSE	9.967326	"excellent"	8.630281	1.386294	8	5.692676	"male"	TRUE	FALSE
2	0	FALSE	5.917603	0	FALSE	9.967326	"excellent"	8.630281	1.386294	8	6.692676	"male"	TRUE	FALSE
0	0	FALSE	5.917603	0	FALSE	6.9	"excellent"	8.630281	1.386294	8	25.30322	"female"	FALSE	FALSE
1	0	FALSE	5.917603	0	FALSE	6.9	"excellent"	8.630281	1.386294	8	26.30322	"female"	FALSE	FALSE
1	0	FALSE	5.917603	0	FALSE	6.9	"excellent"	8.630281	1.386294	8	27.30322	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	27.6	"good"	9.035617	1.098612	12	25.49487	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	TRUE	27.6	"good"	9.035617	1.386294	12	26.49487	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	27.6	"good"	9.035617	1.386294	12	27.49487	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.035617	1.098612	12	1.798768	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.035617	1.386294	12	2.798768	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.035617	1.386294	12	3.798768	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.035617	1.098612	12	27.49076	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.035617	1.386294	12	28.49076	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.035617	1.386294	12	29.49076	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	27.6	"fair"	7.598467	0	14	53.70842	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	TRUE	27.6	"fair"	7.598467	0	14	54.70842	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	TRUE	27.6	"fair"	7.598467	0	14	55.70842	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	TRUE	27.6	"fair"	7.598467	0	14	56.70842	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	TRUE	27.6	"fair"	7.598467	0	14	57.70842	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	0	"good"	8.881529	1.386294	12	32.0438	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	0	"good"	8.881529	1.386294	12	33.0438	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	0	"good"	8.881529	1.386294	12	34.0438	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.386294	12	9.111567	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.386294	12	10.11157	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.386294	12	11.11157	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.386294	12	12.2601	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.386294	12	13.2601	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.386294	12	14.2601	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"good"	8.881529	1.386294	12	10.423	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"good"	8.881529	1.386294	12	11.423	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"good"	8.881529	1.386294	12	12.423	"male"	TRUE	FALSE
4	0	FALSE	5.566358	0	FALSE	3.4	"excellent"	8.765949	1.098612	12	23.8987	"female"	FALSE	FALSE
1	0	FALSE	5.566358	0	FALSE	3.4	"excellent"	8.765949	1.098612	12	24.8987	"female"	FALSE	FALSE
2	0	FALSE	5.566358	0	FALSE	3.4	"excellent"	8.765949	1.386294	12	25.8987	"female"	FALSE	FALSE
10	0	FALSE	5.566358	0	TRUE	9.967326	"excellent"	8.765949	1.098612	12	1.516769	"female"	TRUE	FALSE
5	0	FALSE	5.566358	0	TRUE	9.967326	"excellent"	8.765949	1.098612	12	2.516769	"female"	TRUE	FALSE
2	0	FALSE	5.566358	0	TRUE	9.967326	"excellent"	8.765949	1.386294	12	3.516769	"female"	TRUE	FALSE
3	0	FALSE	5.566358	0	FALSE	0	"excellent"	8.765949	1.098612	12	24.83504	"male"	FALSE	FALSE
2	0	FALSE	5.566358	0	FALSE	0	"excellent"	8.765949	1.098612	12	25.83504	"male"	FALSE	FALSE
0	0	FALSE	5.566358	0	FALSE	0	"excellent"	8.765949	1.386294	12	26.83504	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	8.573824	1.098612	12	26.2998	"female"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	3.4	"excellent"	8.573824	1.098612	12	27.2998	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.573824	1.098612	12	28.2998	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	20.7	"good"	8.573824	1.098612	16	27.70431	"male"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	20.7	"good"	8.573824	1.098612	16	28.70431	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	20.7	"good"	8.573824	1.098612	16	29.70431	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.573824	1.098612	12	6.704997	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.573824	1.098612	12	7.704997	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"good"	8.573824	1.098612	12	8.704996	"male"	TRUE	FALSE
3	0	FALSE	5.45018	0	TRUE	17.2	"good"	9.180921	0.6931472	16	25.39357	"female"	FALSE	FALSE
2	0	FALSE	5.45018	0	TRUE	17.2	"good"	9.180921	0.6931472	16	26.39357	"female"	FALSE	FALSE
6	0	FALSE	5.45018	0	TRUE	17.2	"good"	9.180921	0.6931472	16	27.39357	"female"	FALSE	FALSE
3	0	FALSE	5.45018	0	FALSE	6.9	"excellent"	9.180921	0.6931472	16	25.78782	"male"	FALSE	FALSE
1	0	FALSE	5.45018	0	FALSE	6.9	"excellent"	9.180921	0.6931472	16	26.78782	"male"	FALSE	FALSE
3	0	FALSE	5.45018	0	FALSE	6.9	"excellent"	9.180921	0.6931472	16	27.78782	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.932479	0.6931472	12	20.95277	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.932479	0.6931472	12	21.95277	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	8.932479	0.6931472	12	22.95277	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.932479	0.6931472	12	19.67146	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.932479	0.6931472	12	20.67146	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.932479	0.6931472	12	21.67146	"female"	FALSE	FALSE
2	4.564348	FALSE	5.438079	5.489373	FALSE	13.8	"fair"	8.881529	0	8	48.39425	"male"	FALSE	FALSE
0	4.564348	FALSE	5.438079	5.489373	FALSE	13.8	"fair"	8.881529	0	8	49.39425	"male"	FALSE	FALSE
9	4.564348	FALSE	5.438079	5.489373	FALSE	13.8	"fair"	8.881529	0	8	50.39425	"male"	FALSE	FALSE
1	3.258096	FALSE	6.561596	7.947891	FALSE	17.2	"excellent"	8.603312	1.386294	12	52.79671	"female"	FALSE	FALSE
1	3.258096	FALSE	6.561596	7.947891	FALSE	17.2	"excellent"	8.603312	1.386294	12	53.79671	"female"	FALSE	FALSE
0	3.258096	FALSE	6.561596	7.947891	FALSE	17.2	"excellent"	8.603312	1.386294	12	54.79671	"female"	FALSE	FALSE
2	3.258096	FALSE	6.561596	7.947891	FALSE	10.3	"good"	8.603312	1.386294	12	15.19233	"male"	TRUE	FALSE
4	3.258096	FALSE	6.561596	7.947891	FALSE	10.3	"good"	8.603312	1.386294	12	16.19233	"male"	TRUE	FALSE
5	3.258096	FALSE	6.561596	7.947891	FALSE	10.3	"good"	8.603312	1.386294	12	17.19233	"male"	TRUE	FALSE
0	3.258096	FALSE	6.561596	7.947891	FALSE	9.967326	"excellent"	8.603312	1.386294	12	12.95003	"female"	TRUE	FALSE
1	3.258096	FALSE	6.561596	7.947891	FALSE	9.967326	"excellent"	8.603312	1.386294	12	13.95003	"female"	TRUE	FALSE
0	3.258096	FALSE	6.561596	7.947891	FALSE	9.967326	"excellent"	8.603312	1.386294	12	14.95003	"female"	TRUE	FALSE
0	3.258096	FALSE	6.561596	7.947891	FALSE	6.9	"good"	8.603312	1.386294	12	17.87543	"male"	TRUE	FALSE
0	3.258096	FALSE	6.561596	7.947891	FALSE	6.9	"good"	8.603312	1.386294	12	18.87543	"male"	FALSE	FALSE
0	3.258096	FALSE	6.561596	7.947891	FALSE	6.9	"good"	8.603312	1.386294	12	19.87543	"male"	FALSE	FALSE
0	3.258096	FALSE	5.068904	6.455199	FALSE	9.967326	"excellent"	7.63682	1.098612	10	9.598905	"female"	TRUE	FALSE
1	3.258096	FALSE	5.068904	6.455199	FALSE	9.967326	"excellent"	7.63682	1.098612	10	10.5989	"female"	TRUE	FALSE
0	3.258096	FALSE	5.068904	6.455199	FALSE	9.967326	"excellent"	7.63682	1.098612	10	11.5989	"female"	TRUE	FALSE
2	3.258096	FALSE	5.068904	6.455199	FALSE	9.967326	"excellent"	7.63682	1.098612	10	11.87953	"male"	TRUE	FALSE
1	3.258096	FALSE	5.068904	6.455199	FALSE	9.967326	"excellent"	7.63682	1.098612	10	12.87953	"male"	TRUE	FALSE
6	3.258096	FALSE	5.068904	6.455199	FALSE	9.967326	"excellent"	7.63682	1.098612	10	13.87953	"male"	TRUE	FALSE
4	3.258096	FALSE	5.068904	6.455199	TRUE	17.2	"good"	7.63682	1.098612	10	31.01437	"female"	FALSE	FALSE
5	3.258096	FALSE	5.068904	6.455199	TRUE	17.2	"good"	7.63682	1.098612	10	32.01437	"female"	FALSE	FALSE
2	3.258096	FALSE	5.068904	6.455199	TRUE	17.2	"good"	7.63682	1.098612	10	33.01437	"female"	FALSE	FALSE
3	0	FALSE	6.061457	0	TRUE	13.8	"fair"	7.620275	0.6931472	12	58.00684	"male"	FALSE	FALSE
4	0	FALSE	6.061457	0	TRUE	13.8	"fair"	7.620275	0.6931472	12	59.00684	"male"	FALSE	FALSE
4	0	FALSE	6.061457	0	TRUE	13.8	"fair"	7.620275	0.6931472	12	60.00684	"male"	FALSE	FALSE
0	0	FALSE	6.061457	0	FALSE	13.8	"excellent"	7.620275	0.6931472	7	55.96441	"female"	FALSE	FALSE
1	0	FALSE	6.061457	0	FALSE	13.8	"excellent"	7.620275	0.6931472	7	56.96441	"female"	FALSE	FALSE
0	0	FALSE	6.061457	0	FALSE	13.8	"excellent"	7.620275	0.6931472	7	57.96441	"female"	FALSE	FALSE
1	0	FALSE	7.128143	0	FALSE	6.9	"excellent"	9.028819	1.94591	12	41.95209	"male"	FALSE	FALSE
1	0	FALSE	7.128143	0	FALSE	6.9	"excellent"	9.028819	1.94591	12	42.95209	"male"	FALSE	FALSE
1	0	FALSE	7.128143	0	FALSE	6.9	"excellent"	9.028819	1.94591	12	43.95209	"male"	FALSE	FALSE
2	0	FALSE	7.128143	0	FALSE	0	"excellent"	9.028819	1.94591	12	16.68994	"male"	TRUE	FALSE
5	0	FALSE	7.128143	0	FALSE	0	"excellent"	9.028819	1.94591	12	17.68994	"male"	TRUE	FALSE
1	0	FALSE	7.128143	0	FALSE	0	"excellent"	9.028819	1.94591	12	18.68994	"male"	FALSE	FALSE
1	0	FALSE	7.128143	0	FALSE	0	"excellent"	9.028819	1.94591	12	14.84463	"male"	TRUE	FALSE
9	0	FALSE	7.128143	0	FALSE	0	"excellent"	9.028819	1.94591	12	15.84463	"male"	TRUE	FALSE
2	0	FALSE	7.128143	0	FALSE	0	"excellent"	9.028819	1.94591	12	16.84463	"male"	TRUE	FALSE
1	0	FALSE	7.128143	0	FALSE	9.967326	"excellent"	9.028819	1.94591	12	12.79398	"male"	TRUE	FALSE
2	0	FALSE	7.128143	0	FALSE	9.967326	"excellent"	9.028819	1.94591	12	13.79398	"male"	TRUE	FALSE
1	0	FALSE	7.128143	0	FALSE	9.967326	"excellent"	9.028819	1.94591	12	14.79398	"male"	TRUE	FALSE
1	0	FALSE	7.128143	0	FALSE	17.2	"excellent"	9.028819	1.94591	12	38.59274	"female"	FALSE	FALSE
2	0	FALSE	7.128143	0	FALSE	17.2	"excellent"	9.028819	1.94591	12	39.59274	"female"	FALSE	FALSE
4	0	FALSE	7.128143	0	FALSE	17.2	"excellent"	9.028819	1.94591	12	40.59274	"female"	FALSE	FALSE
2	0	FALSE	7.128143	0	TRUE	9.967326	"excellent"	9.028819	1.94591	12	8.238193	"female"	TRUE	FALSE
6	0	FALSE	7.128143	0	TRUE	9.967326	"excellent"	9.028819	1.94591	12	9.238193	"female"	TRUE	FALSE
4	0	FALSE	7.128143	0	TRUE	9.967326	"excellent"	9.028819	1.94591	12	10.23819	"female"	TRUE	FALSE
1	0	FALSE	7.128143	0	FALSE	9.967326	"excellent"	9.028819	1.94591	12	9.700206	"male"	TRUE	FALSE
2	0	FALSE	7.128143	0	FALSE	9.967326	"excellent"	9.028819	1.94591	12	10.70021	"male"	TRUE	FALSE
4	0	FALSE	7.128143	0	FALSE	9.967326	"excellent"	9.028819	1.94591	12	11.70021	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.305741	1.791759	11	4.774812	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.305741	1.791759	11	5.774812	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.305741	1.791759	11	6.774812	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.305741	1.791759	11	33.26762	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.305741	1.791759	11	34.26762	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	9.305741	1.791759	11	35.26762	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"fair"	9.305741	1.791759	8	37.59069	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	17.2	"fair"	9.305741	1.791759	8	38.59069	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.2	"fair"	9.305741	1.791759	8	39.59069	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	9.305741	1.791759	11	4.774812	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	9.305741	1.791759	11	5.774812	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	9.305741	1.791759	11	6.774812	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.305741	1.791759	11	12.25736	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.305741	1.791759	11	13.25736	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.305741	1.791759	11	14.25736	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"fair"	9.305741	1.791759	11	12.25736	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"fair"	9.305741	1.791759	11	13.25736	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"fair"	9.305741	1.791759	11	14.25736	"male"	TRUE	FALSE
17	4.564348	TRUE	6.772897	6.160541	FALSE	13.8	"good"	8.881529	1.098612	11.38739	33.22929	"female"	FALSE	FALSE
16	4.564348	TRUE	6.772897	6.160541	FALSE	13.8	"good"	8.881529	1.098612	11.38739	34.22929	"female"	FALSE	FALSE
10	4.564348	TRUE	6.772897	6.160541	FALSE	13.8	"good"	8.881529	1.098612	11.38739	35.22929	"female"	FALSE	FALSE
0	4.564348	TRUE	6.772897	6.160541	FALSE	9.967326	"excellent"	8.881529	1.098612	11.38739	0.9089665	"female"	TRUE	FALSE
2	4.564348	TRUE	6.772897	6.160541	FALSE	9.967326	"excellent"	8.881529	1.098612	11.38739	1.908966	"female"	TRUE	FALSE
2	4.564348	TRUE	6.772897	6.160541	FALSE	9.967326	"excellent"	8.881529	1.098612	11.38739	2.908967	"female"	TRUE	FALSE
0	4.564348	TRUE	6.772897	6.160541	FALSE	0	"good"	8.881529	1.098612	12	35.96714	"male"	FALSE	FALSE
1	4.564348	TRUE	6.772897	6.160541	FALSE	0	"good"	8.881529	1.098612	12	36.96714	"male"	FALSE	FALSE
3	4.564348	TRUE	6.772897	6.160541	FALSE	0	"good"	8.881529	1.098612	12	37.96714	"male"	FALSE	FALSE
10	3.931826	FALSE	0	6.818924	TRUE	9.967326	"poor"	8.881529	0	1	40.17249	"female"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	11.46338	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	12.46338	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	13.46338	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	14.46338	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	15.46338	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	9.678303	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	10.6783	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	11.6783	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	12.6783	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004719	1.386294	8	13.6783	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.004719	1.386294	8	40.55031	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.004719	1.386294	8	41.55031	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.004719	1.386294	8	42.55031	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.004719	1.386294	8	43.55031	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.004719	1.386294	8	44.55031	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004719	1.386294	7	43.01985	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004719	1.386294	7	44.01985	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004719	1.386294	7	45.01985	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004719	1.386294	7	46.01985	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004719	1.386294	7	47.01985	"male"	FALSE	FALSE
7	0	FALSE	4.175003	0	FALSE	13.8	"excellent"	8.453845	0	12	22.18754	"male"	FALSE	FALSE
2	0	FALSE	4.175003	0	FALSE	13.8	"excellent"	8.453845	0	12	23.18754	"male"	FALSE	FALSE
4	0	FALSE	4.175003	0	FALSE	13.8	"excellent"	8.453845	0	12	24.18754	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	8.79755	1.098612	15	24.12868	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	8.79755	1.098612	15	25.12868	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	8.79755	1.098612	15	26.12868	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.79755	1.098612	12	24.12047	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.79755	1.098612	12	25.12047	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.79755	1.098612	12	26.12047	"male"	FALSE	FALSE
1	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"excellent"	9.170599	1.609438	10	9.284052	"female"	TRUE	FALSE
0	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"excellent"	9.170599	1.609438	10	10.28405	"female"	TRUE	FALSE
0	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"excellent"	9.170599	1.609438	10	11.28405	"female"	TRUE	FALSE
2	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"good"	9.170599	1.609438	10	3.156742	"female"	TRUE	FALSE
0	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"good"	9.170599	1.609438	10	4.156742	"female"	TRUE	FALSE
1	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"good"	9.170599	1.609438	10	5.156742	"female"	TRUE	FALSE
1	4.564348	FALSE	6.367501	6.418794	FALSE	27.6	"good"	9.170599	1.609438	10	31.60027	"female"	FALSE	FALSE
4	4.564348	FALSE	6.367501	6.418794	FALSE	27.6	"good"	9.170599	1.609438	10	32.60027	"female"	FALSE	FALSE
2	4.564348	FALSE	6.367501	6.418794	FALSE	27.6	"good"	9.170599	1.609438	10	33.60027	"female"	FALSE	FALSE
2	4.564348	FALSE	6.367501	6.418794	FALSE	10.3	"good"	9.170599	1.609438	12	30.2204	"male"	FALSE	FALSE
1	4.564348	FALSE	6.367501	6.418794	FALSE	10.3	"good"	9.170599	1.609438	12	31.2204	"male"	FALSE	FALSE
0	4.564348	FALSE	6.367501	6.418794	FALSE	10.3	"good"	9.170599	1.609438	12	32.2204	"male"	FALSE	FALSE
1	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"good"	9.170599	1.609438	10	6.417522	"male"	TRUE	FALSE
0	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"good"	9.170599	1.609438	10	7.417522	"male"	TRUE	FALSE
2	4.564348	FALSE	6.367501	6.418794	FALSE	9.967326	"good"	9.170599	1.609438	10	8.417522	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	9.629022	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	10.62902	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	11.62902	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.610147	1.609438	18	43.87954	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.610147	1.609438	18	44.87954	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.610147	1.609438	18	45.87954	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.610147	1.609438	11.38739	38.87201	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.610147	1.609438	11.38739	39.87201	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.610147	1.609438	11.38739	40.87201	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	12.74743	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	13.74743	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	14.74743	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	13.92471	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	14.92471	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.610147	1.609438	11.38739	15.92471	"male"	TRUE	FALSE
0	3.258096	FALSE	6.332569	7.718863	FALSE	6.9	"excellent"	8.77451	0	12	44.97741	"female"	FALSE	FALSE
0	3.258096	FALSE	6.332569	7.718863	FALSE	6.9	"excellent"	8.77451	0	12	45.97741	"female"	FALSE	FALSE
0	3.258096	FALSE	6.332569	7.718863	FALSE	6.9	"excellent"	8.77451	0	12	46.97741	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	53.07324	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	54.07324	"female"	FALSE	TRUE
9	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	55.07324	"female"	FALSE	TRUE
9	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	56.07324	"female"	FALSE	TRUE
7	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	57.07324	"female"	FALSE	TRUE
1	0	FALSE	5.426711	0	FALSE	3.4	"excellent"	7.852084	0	11.38739	22.46407	"male"	FALSE	FALSE
0	0	FALSE	5.426711	0	FALSE	3.4	"excellent"	7.852084	0	11.38739	23.46407	"male"	FALSE	FALSE
3	0	FALSE	5.426711	0	FALSE	3.4	"excellent"	7.852084	0	11.38739	24.46407	"male"	FALSE	FALSE
0	0	FALSE	5.426711	0	FALSE	3.4	"excellent"	7.852084	0	11.38739	25.46407	"male"	FALSE	FALSE
0	0	FALSE	5.426711	0	FALSE	3.4	"excellent"	7.852084	0.6931472	11.38739	26.46407	"male"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	14.00958	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	15.00958	"male"	TRUE	TRUE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	16.00958	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	17.00958	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	18.00958	"male"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	53.02122	"male"	FALSE	TRUE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	54.02122	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	55.02122	"male"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	56.02122	"male"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.217104	1.098612	11.38739	57.02122	"male"	FALSE	TRUE
3	0	FALSE	5.911122	0	FALSE	13.8	"good"	8.436448	1.098612	6	51.33196	"female"	FALSE	FALSE
1	0	FALSE	5.911122	0	FALSE	13.8	"good"	8.436448	1.098612	6	52.33196	"female"	FALSE	FALSE
2	0	FALSE	5.911122	0	FALSE	13.8	"good"	8.436448	1.098612	6	53.33196	"female"	FALSE	FALSE
2	0	FALSE	5.911122	0	FALSE	13.8	"good"	8.436448	1.098612	6	54.33196	"female"	FALSE	FALSE
2	0	FALSE	5.911122	0	FALSE	13.8	"good"	8.436448	1.098612	6	55.33196	"female"	FALSE	FALSE
1	0	FALSE	5.911122	0	FALSE	6.9	"good"	8.436448	1.098612	6	15.60301	"female"	TRUE	FALSE
0	0	FALSE	5.911122	0	FALSE	6.9	"good"	8.436448	1.098612	6	16.60301	"female"	TRUE	FALSE
3	0	FALSE	5.911122	0	FALSE	6.9	"good"	8.436448	1.098612	6	17.60301	"female"	TRUE	FALSE
8	0	FALSE	5.911122	0	FALSE	6.9	"good"	8.436448	1.098612	6	18.60301	"female"	FALSE	FALSE
3	0	FALSE	5.911122	0	FALSE	6.9	"good"	8.436448	1.098612	6	19.60301	"female"	FALSE	FALSE
0	0	FALSE	5.911122	0	FALSE	0	"good"	8.436448	1.098612	6	14.29706	"male"	TRUE	FALSE
1	0	FALSE	5.911122	0	FALSE	0	"good"	8.436448	1.098612	6	15.29706	"male"	TRUE	FALSE
2	0	FALSE	5.911122	0	FALSE	0	"good"	8.436448	1.098612	6	16.29706	"male"	TRUE	FALSE
2	0	FALSE	5.911122	0	FALSE	0	"good"	8.436448	1.098612	6	17.29706	"male"	TRUE	FALSE
2	0	FALSE	5.911122	0	FALSE	0	"good"	8.436448	1.098612	6	18.29706	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	3.460643	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	4.460643	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	5.460643	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	6.460643	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	7.460643	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	24.1	"good"	9.108928	1.386294	14	27.57563	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	24.1	"good"	9.108928	1.386294	14	28.57563	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	24.1	"good"	9.108928	1.386294	14	29.57563	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	24.1	"good"	9.108928	1.386294	14	30.57563	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	24.1	"good"	9.108928	1.386294	14	31.57563	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	7.23614	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	8.236139	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	9.236139	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	10.23614	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.108928	1.386294	14	11.23614	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.108928	1.386294	14	30.6475	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.108928	1.386294	14	31.6475	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	9.108928	1.386294	14	32.6475	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.108928	1.386294	14	33.6475	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	9.108928	1.386294	14	34.6475	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	9.967326	"fair"	7.336488	0.6931472	2	10.04244	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"fair"	7.336488	0.6931472	2	11.04244	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"fair"	7.336488	0.6931472	2	12.04244	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	20.7	"fair"	7.336488	0.6931472	2	32.54483	"female"	FALSE	FALSE
11	0	FALSE	0	0	TRUE	20.7	"fair"	7.336488	0.6931472	2	33.54483	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	20.7	"fair"	7.336488	0.6931472	2	34.54483	"female"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.141497	0.6931472	12	30.12731	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.141497	0.6931472	12	31.12731	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.141497	0.6931472	12	32.12731	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.141497	0.6931472	10	32.83778	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.141497	0.6931472	10	33.83778	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.141497	0.6931472	10	34.83778	"male"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	8.907943	1.386294	12	33.04038	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	8.907943	1.386294	12	34.04038	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	8.907943	1.386294	12	35.04038	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.907943	1.386294	12	31.89049	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.907943	1.386294	12	32.89049	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.907943	1.386294	12	33.89049	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.907943	1.386294	12	6.069815	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.907943	1.386294	12	7.069815	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.907943	1.386294	12	8.069816	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.907943	1.386294	12	9.798768	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.907943	1.386294	12	10.79877	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.907943	1.386294	12	11.79877	"male"	TRUE	FALSE
0	3.258096	FALSE	5.991465	7.377759	FALSE	3.4	"excellent"	7.506142	0	10	21.18275	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.860738	0	12	33.61807	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.860738	0	12	34.61807	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.860738	0	12	35.61807	"male"	FALSE	FALSE
3	4.564348	FALSE	6.159518	6.262295	FALSE	17.2	"fair"	9.116429	1.098612	11	52.34497	"male"	FALSE	FALSE
2	4.564348	FALSE	6.159518	6.262295	FALSE	17.2	"fair"	9.116429	1.098612	11	53.34497	"male"	FALSE	FALSE
3	4.564348	FALSE	6.159518	6.262295	FALSE	17.2	"fair"	9.116429	1.098612	11	54.34497	"male"	FALSE	FALSE
2	4.564348	FALSE	6.159518	6.262295	FALSE	17.2	"fair"	9.116429	1.098612	11	55.34497	"male"	FALSE	FALSE
2	4.564348	FALSE	6.159518	6.262295	FALSE	17.2	"fair"	9.116429	1.098612	11	56.34497	"male"	FALSE	FALSE
2	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"good"	9.116429	1.098612	12	56.01917	"female"	FALSE	FALSE
0	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"good"	9.116429	1.098612	12	57.01917	"female"	FALSE	FALSE
1	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"good"	9.116429	1.098612	12	58.01917	"female"	FALSE	FALSE
1	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"good"	9.116429	1.098612	12	59.01917	"female"	FALSE	FALSE
1	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"good"	9.116429	1.098612	12	60.01917	"female"	FALSE	FALSE
1	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"excellent"	9.116429	1.098612	12	16.91444	"female"	TRUE	FALSE
0	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"excellent"	9.116429	1.098612	12	17.91444	"female"	TRUE	FALSE
0	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"excellent"	9.116429	1.098612	12	18.91444	"female"	FALSE	FALSE
0	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"excellent"	9.116429	1.098612	12	19.91444	"female"	FALSE	FALSE
0	4.564348	FALSE	6.159518	6.262295	FALSE	3.4	"excellent"	9.116429	1.098612	12	20.91444	"female"	FALSE	FALSE
3	0	FALSE	5.796483	0	FALSE	3.4	"excellent"	9.159801	0.6931472	14	25.24025	"male"	FALSE	FALSE
1	0	FALSE	5.796483	0	FALSE	3.4	"excellent"	9.159801	0.6931472	14	26.24025	"male"	FALSE	FALSE
0	0	FALSE	5.796483	0	FALSE	3.4	"excellent"	9.159801	1.098612	14	27.24025	"male"	FALSE	FALSE
1	0	FALSE	5.796483	0	FALSE	3.4	"excellent"	9.159801	1.098612	14	28.24025	"male"	FALSE	FALSE
0	0	FALSE	5.796483	0	FALSE	3.4	"excellent"	9.159801	1.098612	14	29.24025	"male"	FALSE	FALSE
4	0	FALSE	5.796483	0	FALSE	6.9	"excellent"	9.159801	0.6931472	14	23.55647	"female"	FALSE	FALSE
6	0	FALSE	5.796483	0	FALSE	6.9	"excellent"	9.159801	0.6931472	14	24.55647	"female"	FALSE	FALSE
7	0	FALSE	5.796483	0	FALSE	6.9	"excellent"	9.159801	1.098612	14	25.55647	"female"	FALSE	FALSE
1	0	FALSE	5.796483	0	FALSE	6.9	"excellent"	9.159801	1.098612	14	26.55647	"female"	FALSE	FALSE
4	0	FALSE	5.796483	0	FALSE	6.9	"excellent"	9.159801	1.098612	14	27.55647	"female"	FALSE	FALSE
1	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	9.667351	"female"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	10.66735	"female"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	11.66735	"female"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	2.360027	"female"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	3.360027	"female"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	4.360027	"female"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	7.742642	"female"	TRUE	FALSE
1	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	8.742642	"female"	TRUE	FALSE
1	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	9.742642	"female"	TRUE	FALSE
12	3.258096	FALSE	0	7.755767	FALSE	6.9	"excellent"	8.320344	1.791759	9	30.37646	"female"	FALSE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	6.9	"excellent"	8.320344	1.791759	9	31.37646	"female"	FALSE	FALSE
4	3.258096	FALSE	0	7.755767	FALSE	6.9	"excellent"	8.320344	1.791759	9	32.37645	"female"	FALSE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	5.924709	"male"	TRUE	FALSE
1	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	6.924709	"male"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	9.967326	"excellent"	8.320344	1.791759	9	7.924709	"male"	TRUE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	3.4	"fair"	8.320344	1.791759	9	34.66393	"male"	FALSE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	3.4	"fair"	8.320344	1.791759	9	35.66393	"male"	FALSE	FALSE
0	3.258096	FALSE	0	7.755767	FALSE	3.4	"fair"	8.320344	1.791759	9	36.66393	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"good"	8.13887	0	7	55.04175	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"good"	8.13887	0	7	56.04175	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"good"	8.13887	0	7	57.04175	"female"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.103917	0.6931472	12	44.01369	"male"	FALSE	FALSE
14	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.103917	0.6931472	12	45.01369	"male"	FALSE	FALSE
23	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.103917	0.6931472	12	46.01369	"male"	FALSE	FALSE
14	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.103917	0.6931472	12	47.01369	"male"	FALSE	FALSE
16	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"excellent"	9.103917	0.6931472	12	48.01369	"male"	FALSE	FALSE
21	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.103917	0.6931472	8	45.03217	"female"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.103917	0.6931472	8	46.03217	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.103917	0.6931472	8	47.03217	"female"	FALSE	FALSE
15	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.103917	0.6931472	8	48.03217	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"excellent"	9.103917	0.6931472	8	49.03217	"female"	FALSE	FALSE
4	4.564348	FALSE	6.620073	6.671367	FALSE	17.2	"good"	8.568823	0	16	27.06366	"female"	FALSE	FALSE
4	4.564348	FALSE	6.620073	6.671367	FALSE	17.2	"good"	8.568823	0	16	28.06366	"female"	FALSE	FALSE
3	4.564348	FALSE	6.620073	6.671367	FALSE	17.2	"good"	8.568823	0	16	29.06366	"female"	FALSE	FALSE
4	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	7.680279	1.098612	11	32.45996	"male"	FALSE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	7.680279	1.098612	11	33.45996	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	7.680279	1.098612	11	34.45996	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	7.680279	1.098612	12	32.18617	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	7.680279	1.098612	12	33.18617	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	7.680279	1.098612	12	34.18617	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	7.680279	1.098612	12	3.041752	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	7.680279	1.098612	12	4.041752	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	7.680279	1.098612	12	5.041752	"male"	TRUE	FALSE
5	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"excellent"	8.691044	0	16	29.18823	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"excellent"	8.691044	0	16	30.18823	"male"	FALSE	FALSE
6	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"excellent"	8.691044	0	16	31.18823	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	13.83984	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	14.83984	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	15.83984	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	16.83984	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	17.83984	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.447472	1.386294	8	34.32991	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.447472	1.386294	8	35.32991	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.447472	1.386294	8	36.32991	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.447472	1.386294	8	37.32991	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.447472	1.386294	8	38.32991	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	12.77481	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	13.77481	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	14.77481	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	15.77481	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.447472	1.386294	12	16.77481	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.447472	1.386294	12	33.35524	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.447472	1.386294	12	34.35524	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.447472	1.386294	12	35.35524	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.447472	1.386294	12	36.35524	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.447472	1.386294	12	37.35524	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.09382	0.6931472	12	26.45038	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.09382	0.6931472	12	27.45038	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.09382	0.6931472	12	28.45038	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.09382	0.6931472	12	29.45038	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.09382	0.6931472	12	30.45038	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.09382	0.6931472	12	29.64545	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.09382	0.6931472	12	30.64545	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.09382	0.6931472	12	31.64545	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.09382	0.6931472	12	32.64545	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.09382	0.6931472	12	33.64545	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.270638	0.6931472	12	25.12526	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.270638	0.6931472	12	26.12526	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.270638	0.6931472	12	27.12526	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.270638	0.6931472	15	26.71595	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.270638	0.6931472	15	27.71595	"male"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.270638	0.6931472	15	28.71595	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.773575	0	17	28.55852	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.773575	0	17	29.55852	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.773575	0	17	30.55852	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"good"	8.745714	0.6931472	12	54.13552	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"good"	8.745714	0.6931472	12	55.13552	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"good"	8.745714	0.6931472	12	56.13552	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.745714	0.6931472	12	57.21834	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.745714	0.6931472	12	58.21834	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.745714	0.6931472	12	59.21834	"male"	FALSE	FALSE
2	4.564348	TRUE	5.50655	5.061929	TRUE	10.3	"good"	8.644428	0	12	30.46954	"female"	FALSE	FALSE
4	4.564348	TRUE	5.50655	5.061929	TRUE	10.3	"good"	8.644428	0	12	31.46954	"female"	FALSE	FALSE
11	4.564348	TRUE	5.50655	5.061929	TRUE	10.3	"good"	8.644428	0	12	32.46954	"female"	FALSE	FALSE
11	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.370708	1.386294	14	31.87132	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.370708	1.386294	14	32.87132	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"excellent"	9.370708	1.386294	14	33.87132	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.370708	1.386294	12	34.08898	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.370708	1.386294	12	35.08898	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.370708	1.386294	12	36.08898	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.370708	1.386294	14	7.761807	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.370708	1.386294	14	8.761807	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.370708	1.386294	14	9.761807	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.370708	1.386294	14	9.14716	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.370708	1.386294	14	10.14716	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.370708	1.386294	14	11.14716	"male"	TRUE	FALSE
2	3.258096	FALSE	6.324359	7.710653	TRUE	27.6	"excellent"	9.1646	1.386294	12	36.55578	"female"	FALSE	FALSE
6	3.258096	FALSE	6.324359	7.710653	TRUE	27.6	"excellent"	9.1646	1.386294	12	37.55578	"female"	FALSE	FALSE
6	3.258096	FALSE	6.324359	7.710653	TRUE	27.6	"excellent"	9.1646	1.386294	12	38.55578	"female"	FALSE	FALSE
6	3.258096	FALSE	6.324359	7.710653	TRUE	27.6	"excellent"	9.1646	1.386294	12	39.55578	"female"	FALSE	FALSE
9	3.258096	FALSE	6.324359	7.710653	TRUE	27.6	"excellent"	9.1646	1.386294	12	40.55578	"female"	FALSE	FALSE
1	3.258096	FALSE	6.324359	7.710653	FALSE	3.4	"excellent"	9.1646	1.386294	12	15.21697	"female"	TRUE	FALSE
0	3.258096	FALSE	6.324359	7.710653	FALSE	3.4	"excellent"	9.1646	1.386294	12	16.21697	"female"	TRUE	FALSE
1	3.258096	FALSE	6.324359	7.710653	FALSE	3.4	"excellent"	9.1646	1.386294	12	17.21697	"female"	TRUE	FALSE
2	3.258096	FALSE	6.324359	7.710653	FALSE	3.4	"excellent"	9.1646	1.386294	12	18.21697	"female"	FALSE	FALSE
0	3.258096	FALSE	6.324359	7.710653	FALSE	3.4	"excellent"	9.1646	1.386294	12	19.21697	"female"	FALSE	FALSE
2	3.258096	FALSE	6.324359	7.710653	FALSE	6.9	"excellent"	9.1646	1.386294	12	47.52635	"male"	FALSE	FALSE
0	3.258096	FALSE	6.324359	7.710653	FALSE	6.9	"excellent"	9.1646	1.386294	12	48.52635	"male"	FALSE	FALSE
2	3.258096	FALSE	6.324359	7.710653	FALSE	6.9	"excellent"	9.1646	1.386294	12	49.52635	"male"	FALSE	FALSE
2	3.258096	FALSE	6.324359	7.710653	FALSE	6.9	"excellent"	9.1646	1.386294	12	50.52635	"male"	FALSE	FALSE
0	3.258096	FALSE	6.324359	7.710653	FALSE	6.9	"excellent"	9.1646	1.386294	12	51.52635	"male"	FALSE	FALSE
1	3.258096	FALSE	6.324359	7.710653	FALSE	9.967326	"excellent"	9.1646	1.386294	12	6.529774	"female"	TRUE	FALSE
0	3.258096	FALSE	6.324359	7.710653	FALSE	9.967326	"excellent"	9.1646	1.386294	12	7.529774	"female"	TRUE	FALSE
1	3.258096	FALSE	6.324359	7.710653	FALSE	9.967326	"excellent"	9.1646	1.386294	12	8.529774	"female"	TRUE	FALSE
1	3.258096	FALSE	6.324359	7.710653	FALSE	9.967326	"excellent"	9.1646	1.386294	12	9.529774	"female"	TRUE	FALSE
2	3.258096	FALSE	6.324359	7.710653	FALSE	9.967326	"excellent"	9.1646	1.386294	12	10.52977	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.671792	1.386294	16	12.10404	"female"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.671792	1.386294	16	13.10404	"female"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.671792	1.386294	16	14.10404	"female"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.671792	1.386294	16	15.10404	"female"	TRUE	FALSE
12	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.671792	1.386294	16	16.10404	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"excellent"	9.671792	1.386294	16	40.31759	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"excellent"	9.671792	1.386294	16	41.31759	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"excellent"	9.671792	1.386294	16	42.31759	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"excellent"	9.671792	1.386294	16	43.31759	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	17.2	"excellent"	9.671792	1.386294	16	44.31759	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"excellent"	9.671792	1.386294	19	40.62971	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"excellent"	9.671792	1.386294	19	41.62971	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"excellent"	9.671792	1.386294	19	42.62971	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"excellent"	9.671792	1.386294	19	43.62971	"male"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"excellent"	9.671792	1.386294	19	44.62971	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.671792	1.386294	16	14.35181	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.671792	1.386294	16	15.35181	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.671792	1.386294	16	16.35181	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.671792	1.386294	16	17.35181	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.671792	1.386294	16	18.35181	"male"	FALSE	FALSE
6	0	FALSE	4.60517	0	FALSE	6.9	"excellent"	9.071025	0.6931472	14	26.72416	"male"	FALSE	FALSE
10	0	FALSE	4.60517	0	FALSE	6.9	"excellent"	9.071025	0.6931472	14	27.72416	"male"	FALSE	FALSE
5	0	FALSE	4.60517	0	FALSE	6.9	"excellent"	9.071025	0.6931472	14	28.72416	"male"	FALSE	FALSE
13	0	FALSE	4.60517	0	FALSE	13.8	"good"	9.071025	0.6931472	12	20.56947	"female"	FALSE	FALSE
1	0	FALSE	4.60517	0	FALSE	13.8	"good"	9.071025	0.6931472	12	21.56947	"female"	FALSE	FALSE
1	0	FALSE	4.60517	0	FALSE	13.8	"good"	9.071025	0.6931472	12	22.56947	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.458334	1.386294	12	30.32991	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.458334	1.386294	12	31.32991	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.458334	1.386294	12	32.32991	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.458334	1.386294	12	33.32991	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.458334	1.386294	12	34.32991	"male"	FALSE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.458334	1.386294	12	29.76865	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.458334	1.386294	12	30.76865	"female"	FALSE	FALSE
15	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.458334	1.386294	12	31.76865	"female"	FALSE	FALSE
11	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.458334	1.386294	12	32.76865	"female"	FALSE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.458334	1.386294	12	33.76865	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	5.108829	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	6.108829	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	7.108829	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	8.108829	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	9.108829	"male"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	5.842574	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	6.842574	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	7.842574	"male"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	8.842573	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.458334	1.386294	12	9.842573	"male"	TRUE	FALSE
3	0	FALSE	6.256287	0	TRUE	48.3	"fair"	9.590732	1.609438	14	43.52635	"female"	FALSE	FALSE
0	0	FALSE	6.256287	0	TRUE	48.3	"fair"	9.590732	1.609438	14	44.52635	"female"	FALSE	FALSE
2	0	FALSE	6.256287	0	TRUE	48.3	"fair"	9.590732	1.609438	14	45.52635	"female"	FALSE	FALSE
7	0	FALSE	6.256287	0	TRUE	20.7	"good"	9.590732	1.609438	20	48.74743	"male"	FALSE	FALSE
4	0	FALSE	6.256287	0	TRUE	20.7	"good"	9.590732	1.609438	20	49.74743	"male"	FALSE	FALSE
4	0	FALSE	6.256287	0	TRUE	20.7	"good"	9.590732	1.609438	20	50.74743	"male"	FALSE	FALSE
4	0	FALSE	6.256287	0	FALSE	13.8	"good"	9.590732	1.609438	14	14.88022	"male"	TRUE	FALSE
3	0	FALSE	6.256287	0	FALSE	13.8	"good"	9.590732	1.609438	14	15.88022	"male"	TRUE	FALSE
1	0	FALSE	6.256287	0	FALSE	13.8	"good"	9.590732	1.609438	14	16.88022	"male"	TRUE	FALSE
0	0	FALSE	6.256287	0	FALSE	9.967326	"fair"	9.590732	1.609438	14	12.96099	"female"	TRUE	FALSE
0	0	FALSE	6.256287	0	FALSE	9.967326	"fair"	9.590732	1.609438	14	13.96099	"female"	TRUE	FALSE
4	0	FALSE	6.256287	0	FALSE	9.967326	"fair"	9.590732	1.609438	14	14.96099	"female"	TRUE	FALSE
2	0	FALSE	6.256287	0	FALSE	9.967326	"good"	9.590732	1.609438	14	11.87406	"male"	TRUE	FALSE
2	0	FALSE	6.256287	0	FALSE	9.967326	"good"	9.590732	1.609438	14	12.87406	"male"	TRUE	FALSE
5	0	FALSE	6.256287	0	FALSE	9.967326	"good"	9.590732	1.609438	14	13.87406	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.168706	1.386294	11	17.6345	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.168706	1.386294	11	13.94387	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.168706	1.098612	11	14.94387	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.168706	1.098612	11	15.94387	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.168706	1.386294	11	12.05202	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.168706	1.098612	11	13.05202	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.168706	1.098612	11	14.05202	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.168706	1.386294	11	48.91171	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.168706	1.098612	11	49.91171	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.168706	1.098612	11	50.91171	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.187003	1.609438	12	30.08898	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.187003	1.609438	12	31.08898	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.187003	1.609438	12	32.08898	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	8.060233	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	9.060233	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	10.06023	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.187003	1.609438	12	31.03628	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.187003	1.609438	12	32.03628	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.187003	1.609438	12	33.03628	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	6.746064	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	7.746064	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	8.746064	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	5.103354	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	6.103354	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.187003	1.609438	12	7.103354	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.752319	1.386294	13	2.373717	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.752319	1.386294	13	3.373717	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.752319	1.386294	13	4.373717	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.752319	1.386294	13	26.17933	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.752319	1.386294	13	27.17933	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	8.752319	1.386294	13	28.17933	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.752319	1.386294	12	27.81383	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.752319	1.386294	12	28.81383	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.752319	1.386294	12	29.81383	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.752319	1.386294	13	2.373717	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.752319	1.386294	13	3.373717	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.752319	1.386294	13	4.373717	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	17.2	"excellent"	9.083886	1.609438	12	33.35798	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"excellent"	9.083886	1.609438	12	34.35798	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"excellent"	9.083886	1.609438	12	35.35798	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	9.083886	1.609438	12	36.35798	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"excellent"	9.083886	1.609438	12	37.35798	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"good"	9.083886	1.609438	9	34.55715	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"good"	9.083886	1.609438	9	35.55715	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	9.083886	1.609438	9	36.55715	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	9.083886	1.609438	9	37.55715	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"good"	9.083886	1.609438	9	38.55715	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	11.82478	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	12.82478	"male"	TRUE	FALSE
13	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	13.82478	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	14.82478	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	15.82478	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	9.924709	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	10.92471	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	11.92471	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	12.92471	"female"	TRUE	FALSE
14	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	13.92471	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	13.73306	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	14.73306	"male"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	15.73306	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	16.73306	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.083886	1.609438	12	17.73306	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.928445	1.386294	9	42.20123	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.928445	1.386294	9	43.20123	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.928445	1.386294	9	44.20123	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.928445	1.386294	9	45.20123	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.928445	1.386294	9	46.20123	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.928445	1.386294	10	37.71389	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.928445	1.386294	10	38.71389	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.928445	1.386294	10	39.71389	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.928445	1.386294	10	40.71389	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.928445	1.386294	10	41.71389	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.928445	1.386294	10	15.52361	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.928445	1.386294	10	16.52361	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.928445	1.386294	10	17.52361	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.928445	1.386294	10	18.52361	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.928445	1.386294	10	19.52361	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.928445	1.386294	10	9.89733	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.928445	1.386294	10	10.89733	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.928445	1.386294	10	11.89733	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.928445	1.386294	10	12.89733	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.928445	1.386294	10	13.89733	"female"	TRUE	FALSE
6	3.931826	FALSE	0	7.600903	FALSE	20.7	"excellent"	8.928833	1.386294	12	37.56331	"female"	FALSE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	20.7	"excellent"	8.928833	1.386294	12	38.56331	"female"	FALSE	FALSE
4	3.931826	FALSE	0	7.600903	FALSE	20.7	"excellent"	8.928833	1.386294	12	39.56331	"female"	FALSE	FALSE
5	3.931826	FALSE	0	7.600903	FALSE	20.7	"excellent"	8.928833	1.386294	12	40.56331	"female"	FALSE	FALSE
4	3.931826	FALSE	0	7.600903	FALSE	20.7	"excellent"	8.928833	1.386294	12	41.56331	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.928833	1.386294	12	14.98152	"male"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.928833	1.386294	12	15.98152	"male"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.928833	1.386294	12	16.98152	"male"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.928833	1.386294	12	17.98152	"male"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.928833	1.386294	12	18.98152	"male"	FALSE	FALSE
10	3.931826	FALSE	0	7.600903	FALSE	9.967326	"excellent"	8.928833	1.386294	12	13.06229	"female"	TRUE	FALSE
11	3.931826	FALSE	0	7.600903	FALSE	9.967326	"excellent"	8.928833	1.386294	12	14.06229	"female"	TRUE	FALSE
6	3.931826	FALSE	0	7.600903	FALSE	9.967326	"excellent"	8.928833	1.386294	12	15.06229	"female"	TRUE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	9.967326	"excellent"	8.928833	1.386294	12	16.06229	"female"	TRUE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	9.967326	"excellent"	8.928833	1.386294	12	17.06229	"female"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	6.9	"excellent"	8.928833	1.386294	12	41.63176	"male"	FALSE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	6.9	"excellent"	8.928833	1.386294	12	42.63176	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	6.9	"excellent"	8.928833	1.386294	12	43.63176	"male"	FALSE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	6.9	"excellent"	8.928833	1.386294	12	44.63176	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	6.9	"excellent"	8.928833	1.386294	12	45.63176	"male"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.791844	1.386294	12	9.880903	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.791844	1.386294	12	10.8809	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.791844	1.386294	12	11.8809	"male"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	8.791844	1.386294	12	34.00137	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	8.791844	1.386294	12	35.00137	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	8.791844	1.386294	12	36.00137	"female"	FALSE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.791844	1.386294	12	11.66324	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.791844	1.386294	12	12.66324	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.791844	1.386294	12	13.66324	"male"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	6.9	"excellent"	8.791844	1.386294	12	34.34086	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"excellent"	8.791844	1.386294	12	35.34086	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"excellent"	8.791844	1.386294	12	36.34086	"male"	FALSE	FALSE
5	0	FALSE	4.356709	0	FALSE	9.967326	"excellent"	9.180136	1.098612	12	0.7939767	"male"	TRUE	FALSE
1	0	FALSE	4.356709	0	FALSE	9.967326	"excellent"	9.180136	1.098612	12	1.793977	"male"	TRUE	FALSE
3	0	FALSE	4.356709	0	FALSE	9.967326	"excellent"	9.180136	1.098612	12	2.793977	"male"	TRUE	FALSE
3	0	FALSE	4.356709	0	FALSE	6.9	"excellent"	9.180136	1.098612	12	31.58658	"male"	FALSE	FALSE
0	0	FALSE	4.356709	0	FALSE	6.9	"excellent"	9.180136	1.098612	12	32.58659	"male"	FALSE	FALSE
2	0	FALSE	4.356709	0	FALSE	6.9	"excellent"	9.180136	1.098612	12	33.58659	"male"	FALSE	FALSE
2	0	FALSE	4.356709	0	FALSE	6.9	"excellent"	9.180136	1.098612	12	23.50445	"female"	FALSE	FALSE
0	0	FALSE	4.356709	0	FALSE	6.9	"excellent"	9.180136	1.098612	12	24.50445	"female"	FALSE	FALSE
0	0	FALSE	4.356709	0	FALSE	6.9	"excellent"	9.180136	1.098612	12	25.50445	"female"	FALSE	FALSE
6	0	FALSE	6.64066	0	TRUE	24.1	"good"	8.679342	0.6931472	14	48.5421	"female"	FALSE	FALSE
4	0	FALSE	6.64066	0	TRUE	24.1	"good"	8.679342	0.6931472	14	49.5421	"female"	FALSE	FALSE
7	0	FALSE	6.64066	0	TRUE	24.1	"good"	8.679342	0.6931472	14	50.5421	"female"	FALSE	FALSE
0	0	FALSE	6.64066	0	FALSE	0	"excellent"	8.679342	0.6931472	12	49.22656	"male"	FALSE	FALSE
10	0	FALSE	6.64066	0	FALSE	0	"excellent"	8.679342	0.6931472	12	50.22656	"male"	FALSE	FALSE
11	0	FALSE	6.64066	0	FALSE	0	"excellent"	8.679342	0.6931472	12	51.22656	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"good"	9.297229	0.6931472	11	56.86516	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"good"	9.297229	0.6931472	11	57.86516	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"good"	9.297229	0.6931472	11	58.86516	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.297229	0.6931472	11	17.51403	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.297229	0.6931472	11	18.51403	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.297229	0.6931472	11	19.51403	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.572603	1.098612	9	13.01027	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.572603	1.098612	9	14.01027	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.572603	1.098612	9	15.01027	"male"	TRUE	FALSE
6	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"good"	8.572603	1.098612	9	15.03354	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"good"	8.572603	1.098612	9	16.03354	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"good"	8.572603	1.098612	9	17.03354	"female"	TRUE	FALSE
10	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"fair"	8.572603	1.098612	9	41.99863	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"fair"	8.572603	1.098612	9	42.99863	"female"	FALSE	FALSE
11	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"fair"	8.572603	1.098612	9	43.99863	"female"	FALSE	FALSE
2	4.564348	FALSE	6.659294	6.710587	FALSE	6.9	"excellent"	8.914387	0	12	22.14921	"female"	FALSE	FALSE
6	4.564348	FALSE	6.659294	6.710587	FALSE	6.9	"excellent"	8.914387	0	12	23.14921	"female"	FALSE	FALSE
2	4.564348	FALSE	6.659294	6.710587	FALSE	6.9	"excellent"	8.914387	0	12	24.14921	"female"	FALSE	FALSE
5	4.564348	FALSE	0	6.784695	FALSE	6.9	"excellent"	8.366807	0	10	19.8193	"male"	FALSE	FALSE
12	4.564348	FALSE	0	6.784695	FALSE	6.9	"excellent"	8.366807	0	10	20.8193	"male"	FALSE	FALSE
2	4.564348	FALSE	0	6.784695	FALSE	6.9	"excellent"	8.366807	0	10	21.8193	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.270974	0	12	19.46064	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	7.270974	0	12	20.46064	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.702219	0	12	24.69268	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.702219	0	12	25.69268	"male"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.702219	0	12	26.69268	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.702219	0	12	27.69268	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.702219	0	12	28.69268	"male"	FALSE	FALSE
2	4.564348	TRUE	5.352806	5.061929	TRUE	9.967326	"good"	8.67324	0	8	61.85079	"female"	FALSE	FALSE
3	4.564348	TRUE	5.352806	5.061929	TRUE	9.967326	"good"	8.67324	0	8	62.85079	"female"	FALSE	FALSE
7	4.564348	TRUE	5.352806	5.061929	TRUE	9.967326	"good"	8.67324	0	8	63.85079	"female"	FALSE	FALSE
1	0	FALSE	5.51986	0	FALSE	6.9	"good"	8.842265	0.6931472	12	55.82751	"male"	FALSE	FALSE
3	0	FALSE	5.51986	0	FALSE	6.9	"good"	8.842265	0.6931472	12	56.82751	"male"	FALSE	FALSE
0	0	FALSE	5.51986	0	FALSE	6.9	"good"	8.842265	0.6931472	12	57.82751	"male"	FALSE	FALSE
4	0	FALSE	5.51986	0	TRUE	13.8	"poor"	8.842265	0.6931472	14	51.24709	"female"	FALSE	FALSE
7	0	FALSE	5.51986	0	TRUE	13.8	"poor"	8.842265	0.6931472	14	52.24709	"female"	FALSE	FALSE
10	0	FALSE	5.51986	0	TRUE	13.8	"poor"	8.842265	0.6931472	14	53.24709	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	13.76044	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	14.76044	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	15.76044	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	16.76044	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	17.76044	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	12.00548	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	13.00548	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	14.00548	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	15.00548	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.069579	1.386294	12	16.00548	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.069579	1.386294	12	31.67967	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	10.3	"excellent"	8.069579	1.386294	12	32.67967	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	8.069579	1.386294	12	33.67967	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	10.3	"excellent"	8.069579	1.386294	12	34.67967	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"excellent"	8.069579	1.386294	12	35.67967	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	9.967326	"good"	8.069579	1.386294	12	7.112936	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"good"	8.069579	1.386294	12	8.112936	"male"	TRUE	FALSE
31	0	FALSE	0	0	FALSE	9.967326	"good"	8.069579	1.386294	12	9.112936	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	8.069579	1.386294	12	10.11294	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.069579	1.386294	12	11.11294	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.18982	1.098612	12	24.94182	"male"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.18982	1.098612	12	25.94182	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.18982	1.098612	12	26.94182	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.18982	1.098612	12	3.868583	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.18982	1.098612	12	4.868583	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.18982	1.098612	12	5.868583	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.18982	1.098612	12	19.31828	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.18982	1.098612	12	20.31828	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.18982	1.098612	12	21.31828	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	13.8	"good"	8.57891	0	11	50.72142	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13.8	"good"	8.57891	0	11	51.72142	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"good"	8.57891	0	11	52.72142	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	7.219932	0	14	23.74264	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	7.219932	0	14	24.74264	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	7.219932	0	14	25.74264	"male"	FALSE	FALSE
2	0	FALSE	5.040582	0	FALSE	3.4	"excellent"	7.900182	0	13	22.61191	"male"	FALSE	FALSE
2	0	FALSE	5.040582	0	FALSE	3.4	"excellent"	7.900182	0	13	23.61191	"male"	FALSE	FALSE
8	0	FALSE	5.040582	0	FALSE	3.4	"excellent"	7.900182	0	13	24.61191	"male"	FALSE	FALSE
1	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	2.8282	"male"	TRUE	FALSE
2	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	3.8282	"male"	TRUE	FALSE
2	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	4.8282	"male"	TRUE	FALSE
2	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	5.8282	"male"	TRUE	FALSE
3	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	6.8282	"male"	TRUE	FALSE
1	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	7.186858	"female"	TRUE	FALSE
0	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	8.186858	"female"	TRUE	FALSE
1	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	9.186858	"female"	TRUE	FALSE
0	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	10.18686	"female"	TRUE	FALSE
2	0	FALSE	5.45018	0	FALSE	9.967326	"good"	9.291296	1.609438	12	11.18686	"female"	TRUE	FALSE
0	0	FALSE	5.45018	0	FALSE	9.967326	"excellent"	9.291296	1.609438	12	11.47433	"female"	TRUE	FALSE
1	0	FALSE	5.45018	0	FALSE	9.967326	"excellent"	9.291296	1.609438	12	12.47433	"female"	TRUE	FALSE
0	0	FALSE	5.45018	0	FALSE	9.967326	"excellent"	9.291296	1.609438	12	13.47433	"female"	TRUE	FALSE
0	0	FALSE	5.45018	0	FALSE	9.967326	"excellent"	9.291296	1.609438	12	14.47433	"female"	TRUE	FALSE
2	0	FALSE	5.45018	0	FALSE	9.967326	"excellent"	9.291296	1.609438	12	15.47433	"female"	TRUE	FALSE
5	0	FALSE	5.45018	0	FALSE	6.9	"good"	9.291296	1.609438	12	32.47639	"female"	FALSE	FALSE
1	0	FALSE	5.45018	0	FALSE	6.9	"good"	9.291296	1.609438	12	33.47639	"female"	FALSE	FALSE
3	0	FALSE	5.45018	0	FALSE	6.9	"good"	9.291296	1.609438	12	34.47639	"female"	FALSE	FALSE
7	0	FALSE	5.45018	0	FALSE	6.9	"good"	9.291296	1.609438	12	35.47639	"female"	FALSE	FALSE
1	0	FALSE	5.45018	0	FALSE	6.9	"good"	9.291296	1.609438	12	36.47639	"female"	FALSE	FALSE
3	0	FALSE	5.45018	0	FALSE	3.4	"good"	9.291296	1.609438	13	33.57974	"male"	FALSE	FALSE
0	0	FALSE	5.45018	0	FALSE	3.4	"good"	9.291296	1.609438	13	34.57974	"male"	FALSE	FALSE
1	0	FALSE	5.45018	0	FALSE	3.4	"good"	9.291296	1.609438	13	35.57974	"male"	FALSE	FALSE
3	0	FALSE	5.45018	0	FALSE	3.4	"good"	9.291296	1.609438	13	36.57974	"male"	FALSE	FALSE
0	0	FALSE	5.45018	0	FALSE	3.4	"good"	9.291296	1.609438	13	37.57974	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	10.07803	"female"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	11.07803	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	12.07803	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	13.07803	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	14.07803	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	7.789186	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	8.789186	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	9.789186	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	10.78919	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	11.78919	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	11.44695	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	12.44695	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	13.44695	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	14.44695	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.99804	1.609438	6	15.44695	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	6	48.21082	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	6	49.21082	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	6	50.21082	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	6	51.21082	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	6	52.21082	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	12	49.25667	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	12	50.25667	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	12	51.25667	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	12	52.25667	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.99804	1.609438	12	53.25667	"male"	FALSE	FALSE
2	3.931826	FALSE	6.586172	7.408531	FALSE	0	"excellent"	8.154502	0	13	22.85284	"female"	FALSE	FALSE
6	3.931826	FALSE	6.586172	7.408531	FALSE	0	"excellent"	8.154502	0	13	23.85284	"female"	FALSE	FALSE
6	3.931826	FALSE	6.586172	7.408531	FALSE	0	"excellent"	8.154502	0	13	24.85284	"female"	FALSE	FALSE
6	3.931826	FALSE	6.586172	7.408531	FALSE	0	"excellent"	8.154502	0	13	25.85284	"female"	FALSE	FALSE
1	3.931826	FALSE	6.586172	7.408531	FALSE	0	"excellent"	8.154502	0	13	26.85284	"female"	FALSE	FALSE
0	4.564348	FALSE	5.247024	5.298317	FALSE	17.2	"excellent"	7.95907	0	16	23.4935	"female"	FALSE	FALSE
2	4.564348	FALSE	6.586379	6.637672	TRUE	20.7	"excellent"	8.881529	1.791759	12	37.29227	"male"	FALSE	FALSE
0	4.564348	FALSE	6.586379	6.637672	TRUE	20.7	"excellent"	8.881529	1.791759	12	38.29227	"male"	FALSE	FALSE
0	4.564348	FALSE	6.586379	6.637672	TRUE	20.7	"excellent"	8.881529	1.791759	12	39.29227	"male"	FALSE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	6.9	"excellent"	8.881529	1.791759	12	14.59548	"female"	TRUE	FALSE
3	4.564348	FALSE	6.586379	6.637672	FALSE	6.9	"excellent"	8.881529	1.791759	12	15.59548	"female"	TRUE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	6.9	"excellent"	8.881529	1.791759	12	16.59548	"female"	TRUE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"good"	8.881529	1.791759	12	8.826831	"female"	TRUE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"good"	8.881529	1.791759	12	9.826831	"female"	TRUE	FALSE
2	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"good"	8.881529	1.791759	12	10.82683	"female"	TRUE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"excellent"	8.881529	1.791759	12	12.73101	"female"	TRUE	FALSE
4	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"excellent"	8.881529	1.791759	12	13.73101	"female"	TRUE	FALSE
1	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"excellent"	8.881529	1.791759	12	14.73101	"female"	TRUE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	3.4	"excellent"	8.881529	1.791759	12	33.46201	"female"	FALSE	FALSE
5	4.564348	FALSE	6.586379	6.637672	FALSE	3.4	"excellent"	8.881529	1.791759	12	34.46201	"female"	FALSE	FALSE
1	4.564348	FALSE	6.586379	6.637672	FALSE	3.4	"excellent"	8.881529	1.791759	12	35.46201	"female"	FALSE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"excellent"	8.881529	1.791759	12	7.088295	"male"	TRUE	FALSE
3	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"excellent"	8.881529	1.791759	12	8.088296	"male"	TRUE	FALSE
0	4.564348	FALSE	6.586379	6.637672	FALSE	9.967326	"excellent"	8.881529	1.791759	12	9.088296	"male"	TRUE	FALSE
2	0	FALSE	5.672085	0	FALSE	3.4	"excellent"	9.096519	0.6931472	12	49.11157	"female"	FALSE	FALSE
3	0	FALSE	5.672085	0	FALSE	3.4	"excellent"	9.096519	0.6931472	12	50.11157	"female"	FALSE	FALSE
1	0	FALSE	5.672085	0	FALSE	3.4	"excellent"	9.096519	0.6931472	12	51.11157	"female"	FALSE	FALSE
2	0	FALSE	5.672085	0	FALSE	3.4	"excellent"	9.096519	0.6931472	12	49.19644	"male"	FALSE	FALSE
0	0	FALSE	5.672085	0	FALSE	3.4	"excellent"	9.096519	0.6931472	12	50.19644	"male"	FALSE	FALSE
1	0	FALSE	5.672085	0	FALSE	3.4	"excellent"	9.096519	0.6931472	12	51.19644	"male"	FALSE	FALSE
1	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	11.04449	"female"	TRUE	FALSE
4	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	12.04449	"female"	TRUE	FALSE
1	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	13.04449	"female"	TRUE	FALSE
3	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	14.04449	"female"	TRUE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	15.04449	"female"	TRUE	FALSE
1	3.258096	FALSE	6.131227	7.517521	FALSE	37.9	"good"	8.600294	1.386294	13	29.37166	"female"	FALSE	FALSE
6	3.258096	FALSE	6.131227	7.517521	FALSE	37.9	"good"	8.600294	1.386294	13	30.37166	"female"	FALSE	FALSE
1	3.258096	FALSE	6.131227	7.517521	FALSE	37.9	"good"	8.600294	1.386294	13	31.37166	"female"	FALSE	FALSE
6	3.258096	FALSE	6.131227	7.517521	FALSE	37.9	"good"	8.600294	1.386294	13	32.37166	"female"	FALSE	FALSE
2	3.258096	FALSE	6.131227	7.517521	FALSE	37.9	"good"	8.600294	1.386294	13	33.37166	"female"	FALSE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	10.06434	"female"	TRUE	FALSE
4	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	11.06434	"female"	TRUE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	12.06434	"female"	TRUE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	13.06434	"female"	TRUE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	9.967326	"excellent"	8.600294	1.386294	13	14.06434	"female"	TRUE	FALSE
1	3.258096	FALSE	6.131227	7.517521	FALSE	6.9	"good"	8.600294	1.386294	8	41.06503	"male"	FALSE	FALSE
2	3.258096	FALSE	6.131227	7.517521	FALSE	6.9	"good"	8.600294	1.386294	8	42.06503	"male"	FALSE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	6.9	"good"	8.600294	1.386294	8	43.06503	"male"	FALSE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	6.9	"good"	8.600294	1.386294	8	44.06503	"male"	FALSE	FALSE
0	3.258096	FALSE	6.131227	7.517521	FALSE	6.9	"good"	8.600294	1.386294	8	45.06503	"male"	FALSE	FALSE
1	4.564348	FALSE	5.164786	5.216079	FALSE	3.4	"excellent"	8.205283	0.6931472	8	49.84258	"female"	FALSE	FALSE
10	4.564348	FALSE	5.164786	5.216079	FALSE	3.4	"excellent"	8.205283	0.6931472	8	50.84258	"female"	FALSE	FALSE
2	4.564348	FALSE	5.164786	5.216079	FALSE	3.4	"excellent"	8.205283	0.6931472	8	51.84258	"female"	FALSE	FALSE
4	4.564348	FALSE	5.164786	5.216079	FALSE	3.4	"excellent"	8.205283	0.6931472	8	52.15058	"male"	FALSE	FALSE
0	4.564348	FALSE	5.164786	5.216079	FALSE	3.4	"excellent"	8.205283	0.6931472	8	53.15058	"male"	FALSE	FALSE
0	4.564348	FALSE	5.164786	5.216079	FALSE	3.4	"excellent"	8.205283	0.6931472	8	54.15058	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.881529	0	14	26.0835	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.881529	0	14	27.0835	"male"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.881529	0	14	28.0835	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"excellent"	8.391052	0	13	26.23956	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"excellent"	8.391052	0	13	27.23956	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"excellent"	8.391052	0	13	28.23956	"male"	FALSE	FALSE
4	0	FALSE	4.958078	0	FALSE	13.8	"good"	7.912069	0	6	52.32307	"male"	FALSE	FALSE
1	0	FALSE	4.958078	0	FALSE	13.8	"good"	7.912069	0	6	53.32307	"male"	FALSE	FALSE
2	0	FALSE	4.958078	0	FALSE	13.8	"good"	7.912069	0	6	54.32307	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.38868	0.6931472	16	60.64613	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.38868	0.6931472	16	61.64613	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.38868	0.6931472	16	62.64613	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.38868	0.6931472	12	54.8501	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.38868	0.6931472	12	55.8501	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.38868	0.6931472	12	56.8501	"female"	FALSE	FALSE
1	4.564348	FALSE	6.49224	6.543533	FALSE	17.2	"good"	8.969274	1.609438	16	29.49487	"female"	FALSE	FALSE
5	4.564348	FALSE	6.49224	6.543533	FALSE	17.2	"good"	8.969274	1.609438	16	30.49487	"female"	FALSE	FALSE
2	4.564348	FALSE	6.49224	6.543533	FALSE	17.2	"good"	8.969274	1.609438	16	31.49487	"female"	FALSE	FALSE
8	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	6.436687	"female"	TRUE	FALSE
4	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	7.436687	"female"	TRUE	FALSE
3	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	8.436687	"female"	TRUE	FALSE
0	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	9.837098	"female"	TRUE	FALSE
2	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	10.8371	"female"	TRUE	FALSE
0	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	11.8371	"female"	TRUE	FALSE
1	4.564348	FALSE	6.49224	6.543533	FALSE	6.9	"excellent"	8.969274	1.609438	18	30.43121	"male"	FALSE	FALSE
7	4.564348	FALSE	6.49224	6.543533	FALSE	6.9	"excellent"	8.969274	1.609438	18	31.43121	"male"	FALSE	FALSE
0	4.564348	FALSE	6.49224	6.543533	FALSE	6.9	"excellent"	8.969274	1.609438	18	32.43121	"male"	FALSE	FALSE
6	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	3.252567	"male"	TRUE	FALSE
5	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	4.252567	"male"	TRUE	FALSE
0	4.564348	FALSE	6.49224	6.543533	FALSE	9.967326	"excellent"	8.969274	1.609438	16	5.252567	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	3.731691	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	4.73169	"female"	TRUE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	5.73169	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	6.73169	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	7.73169	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.996951	1.609438	12	31.46064	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.996951	1.609438	12	32.46064	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.996951	1.609438	12	33.46064	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.996951	1.609438	12	34.46064	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.996951	1.609438	12	35.46064	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.996951	1.609438	12	8.77755	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.996951	1.609438	12	9.77755	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.996951	1.609438	12	10.77755	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.996951	1.609438	12	11.77755	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.996951	1.609438	12	12.77755	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.996951	1.609438	12	28.72279	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.996951	1.609438	12	29.72279	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.996951	1.609438	12	30.72279	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.996951	1.609438	12	31.72279	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.996951	1.609438	12	32.72279	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	1.883641	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	2.883641	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	3.883641	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	4.883641	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.996951	1.609438	12	5.883641	"female"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	8.989446	0.6931472	12	59.14579	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	8.989446	0.6931472	12	60.14579	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	8.989446	0.6931472	12	61.14579	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	8.989446	0.6931472	12	55.67967	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	8.989446	0.6931472	12	56.67967	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	8.989446	0.6931472	12	57.67967	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	6.633812	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	7.633812	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	8.633813	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	24.1	"excellent"	9.174437	1.609438	12	37.79603	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	24.1	"excellent"	9.174437	1.609438	12	38.79603	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	24.1	"excellent"	9.174437	1.609438	12	39.79603	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	1.604381	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	2.604381	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	3.604381	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	11.5154	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	12.5154	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.174437	1.609438	15	13.5154	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	9.174437	1.609438	15	37.04586	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	9.174437	1.609438	15	38.04586	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	9.174437	1.609438	15	39.04586	"female"	FALSE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"good"	8.678843	0.6931472	12	22.59822	"male"	FALSE	FALSE
2	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"good"	8.678843	0.6931472	12	23.59822	"male"	FALSE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"good"	8.678843	0.6931472	12	24.59822	"male"	FALSE	FALSE
3	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	8.678843	0.6931472	10	21.98494	"female"	FALSE	FALSE
3	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	8.678843	0.6931472	10	22.98494	"female"	FALSE	FALSE
3	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	8.678843	0.6931472	10	23.98494	"female"	FALSE	FALSE
1	3.931826	FALSE	5.416101	6.109248	FALSE	6.9	"good"	7.635405	1.098612	12	30.51608	"female"	FALSE	FALSE
0	3.931826	FALSE	5.416101	6.109248	FALSE	6.9	"good"	7.635405	1.098612	12	31.51608	"female"	FALSE	FALSE
0	3.931826	FALSE	5.416101	6.109248	FALSE	6.9	"good"	7.635405	1.098612	12	32.51609	"female"	FALSE	FALSE
0	3.931826	FALSE	5.416101	6.109248	FALSE	9.967326	"excellent"	7.635405	1.098612	12	9.078713	"female"	TRUE	FALSE
1	3.931826	FALSE	5.416101	6.109248	FALSE	9.967326	"excellent"	7.635405	1.098612	12	10.07871	"female"	TRUE	FALSE
0	3.931826	FALSE	5.416101	6.109248	FALSE	9.967326	"excellent"	7.635405	1.098612	12	11.07871	"female"	TRUE	FALSE
6	0	FALSE	6.965062	0	FALSE	0	"excellent"	7.990942	1.386294	12	34.18207	"female"	FALSE	FALSE
1	0	FALSE	6.965062	0	FALSE	0	"excellent"	7.990942	1.386294	12	35.18207	"female"	FALSE	FALSE
0	0	FALSE	6.965062	0	FALSE	0	"excellent"	7.990942	1.386294	12	36.18207	"female"	FALSE	FALSE
1	0	FALSE	6.965062	0	FALSE	9.967326	"excellent"	7.990942	1.386294	12	8.180698	"male"	TRUE	FALSE
0	0	FALSE	6.965062	0	FALSE	9.967326	"excellent"	7.990942	1.386294	12	9.180698	"male"	TRUE	FALSE
1	0	FALSE	6.965062	0	FALSE	9.967326	"excellent"	7.990942	1.386294	12	10.1807	"male"	TRUE	FALSE
1	0	FALSE	6.965062	0	FALSE	10.3	"excellent"	7.990942	1.386294	11	38.27242	"male"	FALSE	FALSE
5	0	FALSE	6.965062	0	FALSE	10.3	"excellent"	7.990942	1.386294	11	39.27242	"male"	FALSE	FALSE
1	0	FALSE	6.965062	0	FALSE	10.3	"excellent"	7.990942	1.386294	11	40.27242	"male"	FALSE	FALSE
1	0	FALSE	6.965062	0	FALSE	9.967326	"excellent"	7.990942	1.386294	12	11.28542	"male"	TRUE	FALSE
0	0	FALSE	6.965062	0	FALSE	9.967326	"excellent"	7.990942	1.386294	12	12.28542	"male"	TRUE	FALSE
5	0	FALSE	6.965062	0	FALSE	9.967326	"excellent"	7.990942	1.386294	12	13.28542	"male"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"fair"	8.550385	0.6931472	12	56.67899	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"fair"	8.550385	0.6931472	12	57.67899	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"fair"	8.550385	0.6931472	12	58.67899	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	8.550385	0.6931472	9	57.98494	"female"	FALSE	FALSE
13	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	8.550385	0.6931472	9	58.98494	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	8.550385	0.6931472	9	59.98494	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"good"	7.683524	0.6931472	10	5.774127	"male"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"good"	7.683524	0.6931472	10	6.774127	"male"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"good"	7.683524	0.6931472	10	7.774127	"male"	TRUE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	7.683524	0.6931472	10	23.8987	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	7.683524	0.6931472	10	24.8987	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	7.683524	0.6931472	10	25.8987	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.881529	1.94591	11.38739	35.86584	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.881529	1.94591	11.38739	36.86584	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.881529	1.94591	11.38739	37.86584	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	11.32923	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	12.32923	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	13.32923	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	12.98836	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	13.98836	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	14.98836	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.881529	1.94591	11.38739	14.17385	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.881529	1.94591	11.38739	15.17385	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.881529	1.94591	11.38739	16.17385	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.881529	1.94591	9	29.295	"male"	FALSE	FALSE
18	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.881529	1.94591	9	30.295	"male"	FALSE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.881529	1.94591	9	31.295	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	7.838467	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	8.838467	"female"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.94591	11.38739	9.838467	"female"	TRUE	FALSE
11	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.881529	0.6931472	7	54.25873	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.881529	0.6931472	7	55.25873	"male"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.881529	0.6931472	7	56.25873	"male"	FALSE	FALSE
14	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.881529	0.6931472	7	57.25873	"male"	FALSE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.881529	0.6931472	7	58.25873	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.881529	0.6931472	7	51.62492	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.881529	0.6931472	7	52.62492	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.881529	0.6931472	7	53.62492	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.881529	0.6931472	7	54.62492	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.881529	0.6931472	7	55.62492	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"fair"	8.097083	1.609438	10	42.22861	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"fair"	8.097083	1.609438	10	43.22861	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"fair"	8.097083	1.609438	10	44.22861	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.097083	1.609438	8	16.67625	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.097083	1.609438	8	17.67625	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.097083	1.609438	8	18.67625	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.097083	1.609438	8	36.13416	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.097083	1.609438	8	37.13416	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.097083	1.609438	8	38.13416	"female"	FALSE	FALSE
4	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	6.616905	0	9	18.46407	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	6.616905	0	9	19.46407	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	6.616905	0	9	20.46407	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.097083	1.609438	8	6.253251	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.097083	1.609438	8	7.253251	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.097083	1.609438	8	8.253251	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.097083	1.609438	8	11.7974	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.097083	1.609438	8	12.7974	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.097083	1.609438	8	13.7974	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"excellent"	9.116816	1.609438	17	41.05955	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"excellent"	9.116816	1.609438	17	42.05955	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"excellent"	9.116816	1.386294	17	43.05955	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.116816	1.609438	16	14.94593	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.116816	1.609438	16	15.94593	"male"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.116816	1.386294	16	16.94593	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.116816	1.609438	16	38.65298	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.116816	1.609438	16	39.65298	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.116816	1.386294	16	40.65298	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"excellent"	9.116816	1.609438	16	13.06502	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"excellent"	9.116816	1.609438	16	14.06502	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"excellent"	9.116816	1.386294	16	15.06502	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.116816	1.609438	16	16.1807	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.116816	1.609438	16	17.1807	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.548795	1.386294	13	25.5332	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.548795	1.386294	13	26.5332	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.548795	1.386294	13	27.5332	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.548795	1.386294	15	2.53525	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.548795	1.386294	15	3.53525	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.548795	1.386294	15	4.53525	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.548795	1.386294	15	1.185489	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.548795	1.386294	15	2.185489	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.548795	1.386294	15	3.185489	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.548795	1.386294	15	24.66256	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.548795	1.386294	15	25.66256	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.548795	1.386294	15	26.66256	"female"	FALSE	FALSE
0	4.564348	FALSE	0	5.611975	FALSE	0	"excellent"	6.47648	0	12	30.97878	"male"	FALSE	FALSE
3	4.564348	FALSE	0	5.611975	FALSE	0	"excellent"	6.47648	0	12	31.97878	"male"	FALSE	FALSE
0	4.564348	FALSE	0	5.611975	FALSE	0	"excellent"	6.47648	0	12	32.97878	"male"	FALSE	FALSE
0	4.564348	FALSE	5.926926	6.042758	FALSE	13.8	"excellent"	8.057065	0	13	23.56194	"female"	FALSE	FALSE
1	4.564348	FALSE	5.926926	6.042758	FALSE	13.8	"excellent"	8.057065	0	13	24.56194	"female"	FALSE	FALSE
1	4.564348	FALSE	5.926926	6.042758	FALSE	13.8	"excellent"	8.057065	0	13	25.56194	"female"	FALSE	FALSE
1	0	FALSE	6.383034	0	FALSE	0	"fair"	9.003536	1.791759	12	16.4052	"male"	TRUE	FALSE
2	0	FALSE	6.383034	0	FALSE	0	"fair"	9.003536	1.791759	12	17.4052	"male"	TRUE	FALSE
1	0	FALSE	6.383034	0	FALSE	0	"fair"	9.003536	1.791759	12	18.4052	"male"	FALSE	FALSE
0	0	FALSE	6.383034	0	FALSE	3.4	"fair"	9.003536	1.791759	11	18.47228	"male"	FALSE	FALSE
3	0	FALSE	6.383034	0	FALSE	3.4	"fair"	9.003536	1.791759	11	19.47228	"male"	FALSE	FALSE
3	0	FALSE	6.383034	0	FALSE	3.4	"fair"	9.003536	1.791759	11	20.47228	"male"	FALSE	FALSE
0	0	FALSE	6.383034	0	FALSE	9.967326	"excellent"	9.003536	1.791759	12	10.82546	"male"	TRUE	FALSE
1	0	FALSE	6.383034	0	FALSE	9.967326	"excellent"	9.003536	1.791759	12	11.82546	"male"	TRUE	FALSE
0	0	FALSE	6.383034	0	FALSE	9.967326	"excellent"	9.003536	1.791759	12	12.82546	"male"	TRUE	FALSE
23	0	FALSE	6.383034	0	TRUE	20.7	"poor"	9.003536	1.791759	12	37.11704	"female"	FALSE	FALSE
72	0	FALSE	6.383034	0	TRUE	20.7	"poor"	9.003536	1.791759	12	38.11704	"female"	FALSE	FALSE
18	0	FALSE	6.383034	0	TRUE	20.7	"poor"	9.003536	1.791759	12	39.11704	"female"	FALSE	FALSE
3	0	FALSE	6.383034	0	FALSE	9.967326	"good"	9.003536	1.791759	12	12.81314	"male"	TRUE	FALSE
1	0	FALSE	6.383034	0	FALSE	9.967326	"good"	9.003536	1.791759	12	13.81314	"male"	TRUE	FALSE
3	0	FALSE	6.383034	0	FALSE	9.967326	"good"	9.003536	1.791759	12	14.81314	"male"	TRUE	FALSE
3	0	FALSE	6.383034	0	TRUE	0	"poor"	9.003536	1.791759	9	40.5284	"male"	FALSE	FALSE
8	0	FALSE	6.383034	0	TRUE	0	"poor"	9.003536	1.791759	9	41.5284	"male"	FALSE	FALSE
4	0	FALSE	6.383034	0	TRUE	0	"poor"	9.003536	1.791759	9	42.5284	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	7.658093	0.6931472	12	0.7583846	"male"	TRUE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	7.658093	0.6931472	12	1.758385	"male"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	7.658093	0.6931472	12	2.758385	"male"	TRUE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	31	"excellent"	7.658093	0.6931472	12	22.01232	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	31	"excellent"	7.658093	0.6931472	12	23.01232	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	31	"excellent"	7.658093	0.6931472	12	24.01232	"female"	FALSE	FALSE
5	4.564348	TRUE	5.010635	5.061929	TRUE	10.3	"fair"	0.6931472	0	10	28.35044	"male"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	TRUE	10.3	"fair"	0.6931472	0	10	30.35044	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.2636	0.6931472	16	24.23819	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.2636	0.6931472	16	25.23819	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.2636	0.6931472	16	26.23819	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	0	"excellent"	9.2636	0.6931472	16	26.16564	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	0	"excellent"	9.2636	0.6931472	16	27.16564	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	0	"excellent"	9.2636	0.6931472	16	28.16564	"male"	FALSE	FALSE
3	0	FALSE	6.660473	0	FALSE	9.967326	"excellent"	7.983169	1.098612	10	1.136208	"male"	TRUE	FALSE
1	0	FALSE	6.660473	0	FALSE	9.967326	"excellent"	7.983169	1.098612	10	2.136208	"male"	TRUE	FALSE
6	0	FALSE	6.660473	0	FALSE	9.967326	"excellent"	7.983169	1.386294	10	3.136208	"male"	TRUE	FALSE
2	0	FALSE	6.660473	0	TRUE	3.4	"excellent"	7.983169	1.098612	10	29.82067	"female"	FALSE	FALSE
0	0	FALSE	6.660473	0	TRUE	3.4	"excellent"	7.983169	1.098612	10	30.82067	"female"	FALSE	FALSE
3	0	FALSE	6.660473	0	TRUE	3.4	"excellent"	7.983169	1.386294	10	31.82067	"female"	FALSE	FALSE
1	0	FALSE	6.660473	0	FALSE	10.3	"good"	7.983169	1.098612	9	32.03559	"male"	FALSE	FALSE
1	0	FALSE	6.660473	0	FALSE	10.3	"good"	7.983169	1.098612	9	33.03559	"male"	FALSE	FALSE
2	0	FALSE	6.660473	0	FALSE	10.3	"good"	7.983169	1.386294	9	34.03559	"male"	FALSE	FALSE
0	3.258096	FALSE	6.418039	7.804333	FALSE	3.4	"excellent"	9.034569	0.6931472	13	23.11841	"male"	FALSE	FALSE
0	3.258096	FALSE	6.418039	7.804333	FALSE	3.4	"excellent"	9.034569	0.6931472	13	24.11841	"male"	FALSE	FALSE
0	3.258096	FALSE	6.418039	7.804333	FALSE	3.4	"excellent"	9.034569	0.6931472	13	25.11841	"male"	FALSE	FALSE
1	3.258096	FALSE	6.418039	7.804333	FALSE	3.4	"excellent"	9.034569	0.6931472	14	23.2334	"female"	FALSE	FALSE
1	3.258096	FALSE	6.418039	7.804333	FALSE	3.4	"excellent"	9.034569	0.6931472	14	24.2334	"female"	FALSE	FALSE
2	3.258096	FALSE	6.418039	7.804333	FALSE	3.4	"excellent"	9.034569	0.6931472	14	25.2334	"female"	FALSE	FALSE
4	0	FALSE	5.741848	0	FALSE	13.8	"good"	7.955168	0	12	50.38741	"female"	FALSE	FALSE
2	0	FALSE	5.741848	0	FALSE	13.8	"good"	7.955168	0	12	51.38741	"female"	FALSE	FALSE
2	0	FALSE	5.741848	0	FALSE	13.8	"good"	7.955168	0	12	52.38741	"female"	FALSE	FALSE
9	0	FALSE	5.741848	0	TRUE	10.3	"poor"	7.857544	0	10	60.87337	"female"	FALSE	FALSE
7	0	FALSE	5.741848	0	TRUE	10.3	"poor"	7.857544	0	10	61.87337	"female"	FALSE	FALSE
15	0	FALSE	5.741848	0	TRUE	10.3	"poor"	7.857544	0	10	62.87337	"female"	FALSE	FALSE
5	4.564348	FALSE	5.024538	5.075831	FALSE	9.967326	"excellent"	6.557931	0.6931472	7	11.91513	"female"	TRUE	FALSE
4	4.564348	FALSE	5.024538	5.075831	FALSE	9.967326	"excellent"	6.557931	0.6931472	7	12.91513	"female"	TRUE	FALSE
1	4.564348	FALSE	5.024538	5.075831	FALSE	9.967326	"excellent"	6.557931	0.6931472	7	13.91513	"female"	TRUE	FALSE
3	4.564348	FALSE	5.024538	5.075831	TRUE	20.7	"fair"	6.557931	0.6931472	7	30.89938	"female"	FALSE	FALSE
1	4.564348	FALSE	5.024538	5.075831	TRUE	20.7	"fair"	6.557931	0.6931472	7	31.89938	"female"	FALSE	FALSE
2	4.564348	FALSE	5.024538	5.075831	TRUE	20.7	"fair"	6.557931	0.6931472	7	32.89938	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.659599	1.386294	8	13.42094	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.659599	1.386294	8	14.42094	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.659599	1.386294	8	15.42094	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	8.659599	1.386294	8	44.72827	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	8.659599	1.386294	8	45.72827	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	8.659599	1.386294	8	46.72827	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.659599	1.386294	8	12.54757	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.659599	1.386294	8	13.54757	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.659599	1.386294	8	14.54757	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.659599	1.386294	8	11.01164	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.659599	1.386294	8	12.01164	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.659599	1.386294	8	13.01164	"male"	TRUE	FALSE
2	4.564348	TRUE	5.289478	5.061929	TRUE	10.3	"fair"	7.314863	0	6	58.26146	"female"	FALSE	FALSE
2	4.564348	TRUE	5.289478	5.061929	TRUE	10.3	"fair"	7.314863	0	6	59.26146	"female"	FALSE	FALSE
1	4.564348	TRUE	5.289478	5.061929	TRUE	10.3	"fair"	7.314863	0	6	60.26146	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.881529	0	12	37.7358	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.881529	0	12	38.7358	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.881529	0	12	39.7358	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.881529	0	12	40.7358	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.881529	0	12	41.7358	"male"	FALSE	FALSE
9	4.564348	FALSE	6.407292	6.458586	FALSE	13.8	"excellent"	8.802236	0	12	47.12663	"male"	FALSE	FALSE
7	4.564348	FALSE	6.407292	6.458586	FALSE	13.8	"excellent"	8.802236	0	12	48.12663	"male"	FALSE	FALSE
5	4.564348	FALSE	6.407292	6.458586	FALSE	13.8	"excellent"	8.802236	0	12	49.12663	"male"	FALSE	FALSE
4	0	FALSE	6.190643	0	TRUE	6.9	"good"	9.733652	1.609438	11	49.01848	"male"	FALSE	FALSE
3	0	FALSE	6.190643	0	TRUE	6.9	"good"	9.733652	1.609438	11	50.01848	"male"	FALSE	FALSE
4	0	FALSE	6.190643	0	TRUE	6.9	"good"	9.733652	1.609438	11	51.01848	"male"	FALSE	FALSE
3	0	FALSE	6.190643	0	FALSE	6.9	"good"	9.733652	1.609438	12	48.32033	"female"	FALSE	FALSE
34	0	FALSE	6.190643	0	FALSE	6.9	"good"	9.733652	1.609438	12	49.32033	"female"	FALSE	FALSE
46	0	FALSE	6.190643	0	FALSE	6.9	"good"	9.733652	1.609438	12	50.32033	"female"	FALSE	FALSE
7	0	FALSE	6.190643	0	TRUE	13.8	"excellent"	9.733652	1.609438	12	16.1232	"female"	TRUE	FALSE
5	0	FALSE	6.190643	0	TRUE	13.8	"excellent"	9.733652	1.609438	12	17.1232	"female"	TRUE	FALSE
2	0	FALSE	6.190643	0	TRUE	13.8	"excellent"	9.733652	1.609438	12	18.1232	"female"	FALSE	FALSE
14	0	FALSE	6.190643	0	FALSE	3.4	"excellent"	9.733652	1.609438	12	14.41205	"male"	TRUE	FALSE
4	0	FALSE	6.190643	0	FALSE	3.4	"excellent"	9.733652	1.609438	12	15.41205	"male"	TRUE	FALSE
1	0	FALSE	6.190643	0	FALSE	3.4	"excellent"	9.733652	1.609438	12	16.41205	"male"	TRUE	FALSE
4	0	FALSE	6.190643	0	FALSE	0	"excellent"	9.733652	1.609438	13	20.17522	"male"	FALSE	FALSE
2	0	FALSE	6.190643	0	FALSE	0	"excellent"	9.733652	1.609438	13	21.17522	"male"	FALSE	FALSE
1	0	FALSE	6.190643	0	FALSE	0	"excellent"	9.733652	1.609438	13	22.17522	"male"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	27.6	"good"	7.405488	1.386294	11	28.09035	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	27.6	"good"	7.405488	1.386294	11	29.09035	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	27.6	"good"	7.405488	1.386294	11	30.09035	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.405488	1.386294	11	5.237509	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.405488	1.386294	11	6.237509	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.405488	1.386294	11	7.237509	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.405488	1.386294	11	1.054072	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.405488	1.386294	11	2.054073	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.405488	1.386294	11	3.054073	"male"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	3.4	"good"	7.405488	1.386294	12	32.01095	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.405488	1.386294	12	33.01095	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	7.405488	1.386294	12	34.01095	"male"	FALSE	FALSE
8	4.564348	FALSE	6.052183	5.941943	TRUE	24.1	"fair"	8.032171	0	12	59.81383	"female"	FALSE	FALSE
8	4.564348	FALSE	6.052183	5.941943	TRUE	24.1	"fair"	8.032171	0	12	60.81383	"female"	FALSE	FALSE
5	4.564348	FALSE	6.052183	5.941943	TRUE	24.1	"fair"	8.032171	0	12	61.81383	"female"	FALSE	FALSE
12	4.564348	FALSE	6.052183	5.941943	TRUE	24.1	"fair"	8.032171	0	12	62.81383	"female"	FALSE	FALSE
11	4.564348	FALSE	6.052183	5.941943	TRUE	24.1	"fair"	8.032171	0	12	63.81383	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.0622	1.386294	12	38.84737	"female"	FALSE	TRUE
13	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.0622	1.098612	12	39.84737	"female"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.0622	0.6931472	12	40.84737	"female"	FALSE	TRUE
8	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.0622	0.6931472	12	41.84737	"female"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.0622	0.6931472	12	42.84737	"female"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.0622	1.386294	12	16.26557	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.0622	1.098612	12	17.26557	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.0622	1.386294	12	8.262834	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.0622	1.098612	12	9.262834	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.0622	0.6931472	12	10.26283	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.0622	0.6931472	12	11.26283	"male"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.0622	0.6931472	12	12.26283	"male"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.0622	1.386294	12	17.48939	"male"	TRUE	TRUE
8	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.744126	1.386294	12	4.013689	"female"	TRUE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.744126	1.386294	12	5.013689	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.744126	1.386294	12	6.013689	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.744126	1.386294	12	32.28474	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.744126	1.386294	12	33.28474	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.744126	1.386294	12	34.28474	"male"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.744126	1.386294	12	1.404517	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.744126	1.386294	12	2.404517	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.744126	1.386294	12	3.404517	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.744126	1.386294	12	29.47844	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.744126	1.386294	12	30.47844	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.744126	1.386294	12	31.47844	"female"	FALSE	FALSE
7	0	FALSE	5.352806	0	TRUE	17.2	"excellent"	7.934796	0	12	21.9165	"male"	FALSE	FALSE
6	0	FALSE	5.352806	0	TRUE	17.2	"excellent"	7.934796	0	12	22.9165	"male"	FALSE	FALSE
2	0	FALSE	5.352806	0	TRUE	17.2	"excellent"	7.934796	0	12	23.9165	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	3.4	"excellent"	7.769371	0	12	23.00342	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	7.769371	0	12	24.00342	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.769371	0	12	25.00342	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.178441	1.386294	12	11.52909	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.178441	1.386294	12	12.52909	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.178441	1.386294	12	13.52909	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.178441	1.386294	7	40.282	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.178441	1.386294	7	41.282	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.178441	1.386294	7	42.282	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"good"	9.178441	1.386294	12	35.95893	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"good"	9.178441	1.386294	12	36.95893	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"good"	9.178441	1.386294	12	37.95893	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.178441	1.386294	12	7.419576	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.178441	1.386294	12	8.419576	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.178441	1.386294	12	9.419576	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.880345	1.94591	9	4.317591	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.880345	1.94591	9	5.317591	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.880345	1.94591	9	6.317591	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.880345	1.94591	9	13.77413	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.880345	1.94591	9	14.77413	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.880345	1.94591	9	15.77413	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.880345	1.94591	9	14.69678	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.880345	1.94591	9	15.69678	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.880345	1.94591	9	16.69678	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.880345	1.94591	9	31.57563	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.880345	1.94591	9	32.57563	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.880345	1.94591	9	33.57563	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.880345	1.94591	9	12.75565	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.880345	1.94591	9	13.75565	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.880345	1.94591	9	14.75565	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.880345	1.94591	7	34.4887	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.880345	1.94591	7	35.4887	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.880345	1.94591	7	36.4887	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.880345	1.94591	9	11.11567	"female"	TRUE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.880345	1.94591	9	12.11567	"female"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	8.880345	1.94591	9	13.11567	"female"	TRUE	FALSE
4	3.931826	FALSE	6.835185	7.528332	FALSE	3.4	"excellent"	8.341821	1.386294	12	14.19849	"male"	TRUE	FALSE
1	3.931826	FALSE	6.835185	7.528332	FALSE	3.4	"excellent"	8.341821	1.386294	12	15.19849	"male"	TRUE	FALSE
1	3.931826	FALSE	6.835185	7.528332	FALSE	3.4	"excellent"	8.341821	1.386294	12	16.19849	"male"	TRUE	FALSE
1	3.931826	FALSE	6.835185	7.528332	FALSE	27.6	"good"	8.341821	1.386294	12	35.154	"female"	FALSE	FALSE
2	3.931826	FALSE	6.835185	7.528332	FALSE	27.6	"good"	8.341821	1.386294	12	36.154	"female"	FALSE	FALSE
23	3.931826	FALSE	6.835185	7.528332	FALSE	27.6	"good"	8.341821	1.386294	12	37.154	"female"	FALSE	FALSE
0	3.931826	FALSE	6.835185	7.528332	FALSE	9.967326	"fair"	8.341821	1.386294	12	8.260096	"female"	TRUE	FALSE
1	3.931826	FALSE	6.835185	7.528332	FALSE	9.967326	"fair"	8.341821	1.386294	12	9.260096	"female"	TRUE	FALSE
5	3.931826	FALSE	6.835185	7.528332	FALSE	9.967326	"fair"	8.341821	1.386294	12	10.2601	"female"	TRUE	FALSE
0	3.931826	FALSE	6.835185	7.528332	FALSE	3.4	"good"	8.341821	1.386294	12	15.27721	"male"	TRUE	FALSE
0	3.931826	FALSE	6.835185	7.528332	FALSE	3.4	"good"	8.341821	1.386294	12	16.27721	"male"	TRUE	FALSE
5	3.931826	FALSE	6.835185	7.528332	FALSE	3.4	"good"	8.341821	1.386294	12	17.27721	"male"	TRUE	FALSE
6	4.564348	FALSE	6.200184	6.249121	FALSE	10.3	"good"	8.857404	0	14	60.39151	"female"	FALSE	FALSE
2	4.564348	FALSE	6.200184	6.249121	FALSE	10.3	"good"	8.857404	0	14	61.39151	"female"	FALSE	FALSE
6	4.564348	FALSE	6.200184	6.249121	FALSE	10.3	"good"	8.857404	0	14	62.39151	"female"	FALSE	FALSE
7	3.258096	FALSE	6.327937	7.714231	FALSE	9.967326	"excellent"	8.728675	1.386294	13	1.117043	"male"	TRUE	FALSE
3	3.258096	FALSE	6.327937	7.714231	FALSE	9.967326	"excellent"	8.728675	1.386294	13	2.117043	"male"	TRUE	FALSE
5	3.258096	FALSE	6.327937	7.714231	FALSE	9.967326	"excellent"	8.728675	1.609438	13	3.117043	"male"	TRUE	FALSE
3	3.258096	FALSE	6.327937	7.714231	FALSE	3.4	"excellent"	8.728675	1.386294	12	25.30869	"male"	FALSE	FALSE
5	3.258096	FALSE	6.327937	7.714231	FALSE	3.4	"excellent"	8.728675	1.386294	12	26.30869	"male"	FALSE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	3.4	"excellent"	8.728675	1.609438	12	27.30869	"male"	FALSE	FALSE
5	3.258096	FALSE	6.327937	7.714231	FALSE	9.967326	"excellent"	8.728675	1.386294	13	1.117043	"male"	TRUE	FALSE
5	3.258096	FALSE	6.327937	7.714231	FALSE	9.967326	"excellent"	8.728675	1.386294	13	2.117043	"male"	TRUE	FALSE
3	3.258096	FALSE	6.327937	7.714231	FALSE	9.967326	"excellent"	8.728675	1.609438	13	3.117043	"male"	TRUE	FALSE
3	3.258096	FALSE	6.327937	7.714231	FALSE	10.3	"excellent"	8.728675	1.386294	13	23.62491	"female"	FALSE	FALSE
0	3.258096	FALSE	6.327937	7.714231	FALSE	10.3	"excellent"	8.728675	1.386294	13	24.62491	"female"	FALSE	FALSE
2	3.258096	FALSE	6.327937	7.714231	FALSE	10.3	"excellent"	8.728675	1.609438	13	25.62491	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.482183	0	12	59.82204	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.482183	0	12	60.82204	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.482183	0	12	61.82204	"female"	FALSE	FALSE
5	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"excellent"	8.131652	0	12	44.34223	"female"	FALSE	FALSE
14	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"excellent"	8.131652	0	12	45.34223	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	20.7	"excellent"	8.131652	0	12	46.34223	"female"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.246834	1.386294	8	14.34908	"female"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.246834	1.386294	8	15.34908	"female"	TRUE	FALSE
13	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.246834	1.386294	8	16.34908	"female"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	44.8	"good"	9.246834	1.386294	8	46.61739	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	44.8	"good"	9.246834	1.386294	8	47.61739	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	44.8	"good"	9.246834	1.386294	8	48.61739	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"good"	9.246834	1.386294	12	44.86242	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"good"	9.246834	1.386294	12	45.86242	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"good"	9.246834	1.386294	12	46.86242	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.246834	1.386294	8	17.50034	"female"	TRUE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.246834	1.386294	8	18.50034	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.246834	1.386294	8	19.50034	"female"	FALSE	FALSE
4	3.258096	FALSE	6.069814	7.456108	FALSE	0	"good"	8.512455	0	12	20.46817	"male"	FALSE	FALSE
5	3.258096	FALSE	6.069814	7.456108	FALSE	0	"good"	8.512455	0	12	21.46817	"male"	FALSE	FALSE
3	3.258096	FALSE	6.069814	7.456108	FALSE	0	"good"	8.512455	0	12	22.46817	"male"	FALSE	FALSE
0	3.258096	FALSE	5.966147	7.352441	FALSE	3.4	"good"	8.986735	0	12	19.17591	"female"	FALSE	FALSE
1	3.258096	FALSE	5.966147	7.352441	FALSE	3.4	"good"	8.986735	0.6931472	12	20.17591	"female"	FALSE	FALSE
1	3.258096	FALSE	5.966147	7.352441	FALSE	3.4	"good"	8.986735	0.6931472	12	21.17591	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.881529	1.609438	8	32.21903	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	8.881529	1.609438	8	11.01985	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	34.5	"fair"	8.881529	1.609438	8	28.98836	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.609438	8	8.145106	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.881529	1.609438	8	12.38604	"female"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.845734	1.098612	16	42.27515	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.845734	1.098612	16	43.27515	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.845734	1.098612	16	44.27515	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.845734	1.098612	16	11.71253	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.845734	1.098612	16	12.71253	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.845734	1.098612	16	13.71253	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.467129	1.098612	12	8.167009	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.467129	1.098612	12	9.167009	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.467129	1.098612	12	10.16701	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.467129	1.098612	12	5.913758	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.467129	1.098612	12	6.913758	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.467129	1.098612	12	7.913758	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.467129	1.098612	12	29.27036	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.467129	1.098612	12	30.27036	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.467129	1.098612	12	31.27036	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"good"	8.779666	0.6931472	12	60.59138	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"good"	8.779666	0.6931472	12	61.59138	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"good"	8.779666	0.6931472	12	62.59138	"male"	FALSE	FALSE
12	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"fair"	8.779666	0.6931472	12	59.11294	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"fair"	8.779666	0.6931472	12	60.11294	"female"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"fair"	8.779666	0.6931472	12	61.11294	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	10	45.88091	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	10	46.88091	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	10	47.88091	"male"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	10	48.88091	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	0.6931472	10	49.88091	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	44.13689	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	45.13689	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	46.13689	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	47.13689	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	0.6931472	9	48.13689	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	15.88775	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	16.88775	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	17.88775	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.071766	1.098612	9	18.88775	"female"	FALSE	FALSE
6	3.258096	FALSE	6.49224	7.878534	TRUE	17.2	"fair"	8.78264	1.791759	7	42.39014	"male"	FALSE	FALSE
6	3.258096	FALSE	6.49224	7.878534	TRUE	17.2	"fair"	8.78264	1.791759	7	43.39014	"male"	FALSE	FALSE
4	3.258096	FALSE	6.49224	7.878534	TRUE	17.2	"fair"	8.78264	1.94591	7	44.39014	"male"	FALSE	FALSE
1	3.258096	FALSE	6.49224	7.878534	TRUE	17.2	"fair"	8.78264	2.079442	7	45.39014	"male"	FALSE	FALSE
8	3.258096	FALSE	6.49224	7.878534	TRUE	17.2	"fair"	8.78264	2.079442	7	46.39014	"male"	FALSE	FALSE
6	3.258096	FALSE	6.49224	7.878534	FALSE	13.8	"good"	8.78264	1.791759	7	14.65298	"male"	TRUE	FALSE
2	3.258096	FALSE	6.49224	7.878534	FALSE	13.8	"good"	8.78264	1.791759	7	15.65298	"male"	TRUE	FALSE
4	3.258096	FALSE	6.49224	7.878534	FALSE	13.8	"good"	8.78264	1.94591	7	16.65298	"male"	TRUE	FALSE
5	3.258096	FALSE	6.49224	7.878534	FALSE	13.8	"good"	8.78264	2.079442	7	17.65298	"male"	TRUE	FALSE
8	3.258096	FALSE	6.49224	7.878534	FALSE	13.8	"good"	8.78264	2.079442	7	18.65298	"male"	FALSE	FALSE
5	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"good"	8.78264	1.791759	7	11.56194	"female"	TRUE	FALSE
2	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"good"	8.78264	1.791759	7	12.56194	"female"	TRUE	FALSE
7	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"good"	8.78264	1.94591	7	13.56194	"female"	TRUE	FALSE
6	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"good"	8.78264	2.079442	7	14.56194	"female"	TRUE	FALSE
6	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"good"	8.78264	2.079442	7	15.56194	"female"	TRUE	FALSE
6	3.258096	FALSE	6.49224	7.878534	FALSE	9.967326	"good"	8.78264	1.791759	7	12.85695	"female"	TRUE	FALSE
5	3.258096	FALSE	6.49224	7.878534	FALSE	9.967326	"good"	8.78264	1.791759	7	13.85695	"female"	TRUE	FALSE
8	3.258096	FALSE	6.49224	7.878534	FALSE	9.967326	"good"	8.78264	1.94591	7	14.85695	"female"	TRUE	FALSE
4	3.258096	FALSE	6.49224	7.878534	FALSE	9.967326	"good"	8.78264	2.079442	7	15.85695	"female"	TRUE	FALSE
2	3.258096	FALSE	6.49224	7.878534	FALSE	9.967326	"good"	8.78264	2.079442	7	16.85695	"female"	TRUE	FALSE
16	3.258096	FALSE	6.49224	7.878534	TRUE	13.8	"good"	8.78264	1.791759	7	37.55784	"female"	FALSE	FALSE
2	3.258096	FALSE	6.49224	7.878534	TRUE	13.8	"good"	8.78264	1.791759	7	38.55784	"female"	FALSE	FALSE
12	3.258096	FALSE	6.49224	7.878534	TRUE	13.8	"good"	8.78264	1.94591	7	39.55784	"female"	FALSE	FALSE
5	3.258096	FALSE	6.49224	7.878534	TRUE	13.8	"good"	8.78264	2.079442	7	40.55784	"female"	FALSE	FALSE
14	3.258096	FALSE	6.49224	7.878534	TRUE	13.8	"good"	8.78264	2.079442	7	41.55784	"female"	FALSE	FALSE
4	3.258096	FALSE	6.49224	7.878534	FALSE	20.7	"good"	8.78264	1.791759	7	17.26215	"female"	TRUE	FALSE
4	3.258096	FALSE	6.49224	7.878534	FALSE	20.7	"good"	8.78264	1.791759	7	18.26215	"female"	FALSE	FALSE
2	3.258096	FALSE	6.49224	7.878534	FALSE	20.7	"good"	8.78264	1.94591	7	19.26215	"female"	FALSE	FALSE
4	3.258096	FALSE	6.49224	7.878534	FALSE	20.7	"good"	8.78264	2.079442	7	20.26215	"female"	FALSE	FALSE
5	3.258096	FALSE	6.49224	7.878534	FALSE	20.7	"good"	8.78264	2.079442	7	21.26215	"female"	FALSE	FALSE
0	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.4381	0	12	19.19233	"male"	FALSE	FALSE
2	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.4381	0	12	20.19233	"male"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.4381	0	12	21.19233	"male"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.4381	0	12	22.19233	"male"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.4381	0	12	23.19233	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.036036	1.791759	14	13.63176	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.036036	1.791759	14	14.63176	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.036036	1.609438	14	15.63176	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.036036	1.791759	14	16.31485	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.036036	1.791759	14	17.31485	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.036036	1.609438	14	18.31485	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	31	"good"	9.036036	1.791759	12	49.71937	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	31	"good"	9.036036	1.791759	12	50.71937	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	31	"good"	9.036036	1.609438	12	51.71937	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.036036	1.791759	14	49.39083	"female"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.036036	1.791759	14	50.39083	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.036036	1.791759	14	11.30459	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.036036	1.791759	14	12.30459	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.036036	1.609438	14	13.30459	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.036036	1.791759	14	17.65914	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.036036	1.791759	14	18.65914	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.036036	1.609438	14	19.65914	"female"	FALSE	FALSE
1	0	FALSE	4.276666	0	FALSE	3.4	"excellent"	8.585724	0.6931472	12	15.01985	"female"	TRUE	FALSE
0	0	FALSE	4.276666	0	FALSE	3.4	"excellent"	8.585724	0.6931472	12	16.01985	"female"	TRUE	FALSE
0	0	FALSE	4.276666	0	FALSE	3.4	"excellent"	8.585724	0.6931472	12	17.01985	"female"	TRUE	FALSE
12	0	FALSE	4.276666	0	TRUE	20.7	"excellent"	8.585724	0.6931472	12	57.63997	"female"	FALSE	FALSE
4	0	FALSE	4.276666	0	TRUE	20.7	"excellent"	8.585724	0.6931472	12	58.63997	"female"	FALSE	FALSE
5	0	FALSE	4.276666	0	TRUE	20.7	"excellent"	8.585724	0.6931472	12	59.63997	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	9.393967	0.6931472	10	59.53183	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	9.393967	0.6931472	10	60.53183	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	9.393967	0.6931472	10	61.53183	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.393967	0.6931472	10	62.53183	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.393967	0.6931472	10	63.53183	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	24.1	"good"	9.393967	0.6931472	8	56.17522	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	24.1	"good"	9.393967	0.6931472	8	57.17522	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	24.1	"good"	9.393967	0.6931472	8	58.17522	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	24.1	"good"	9.393967	0.6931472	8	59.17522	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	24.1	"good"	9.393967	0.6931472	8	60.17522	"female"	FALSE	FALSE
1	4.564348	FALSE	5.741848	5.937397	FALSE	13.8	"excellent"	5.411083	0	7	57.73854	"female"	FALSE	FALSE
2	4.564348	FALSE	5.741848	5.937397	FALSE	13.8	"excellent"	5.411083	0	7	58.73854	"female"	FALSE	FALSE
5	4.564348	FALSE	5.741848	5.937397	FALSE	13.8	"excellent"	5.411083	0	7	59.73854	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	8.902292	0	14	31.24983	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	8.902292	0	14	32.24983	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	8.902292	0	14	33.24983	"male"	FALSE	FALSE
14	4.564348	TRUE	0	5.061929	TRUE	24.1	"good"	7.470702	0	14	54.10815	"female"	FALSE	FALSE
13	4.564348	TRUE	0	5.061929	TRUE	24.1	"good"	7.470702	0	14	55.10815	"female"	FALSE	FALSE
7	4.564348	TRUE	0	5.061929	TRUE	24.1	"good"	7.470702	0	14	56.10815	"female"	FALSE	FALSE
4	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"good"	8.715872	0	12	61.47844	"male"	FALSE	FALSE
11	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"good"	8.715872	0	12	62.47844	"male"	FALSE	FALSE
11	4.564348	TRUE	5.010635	5.061929	FALSE	24.1	"good"	8.715872	0	12	63.47844	"male"	FALSE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"good"	8.680638	1.791759	12	16.53936	"female"	TRUE	FALSE
1	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"good"	8.680638	1.791759	12	17.53936	"female"	TRUE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"good"	8.680638	1.791759	12	18.53936	"female"	FALSE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	9.967326	"excellent"	8.680638	1.791759	12	14.07803	"male"	TRUE	FALSE
1	3.258096	FALSE	6.119858	7.506152	FALSE	9.967326	"excellent"	8.680638	1.791759	12	15.07803	"male"	TRUE	FALSE
2	3.258096	FALSE	6.119858	7.506152	FALSE	9.967326	"excellent"	8.680638	1.791759	12	16.07803	"male"	TRUE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"excellent"	8.680638	1.791759	12	46.11909	"female"	FALSE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"excellent"	8.680638	1.791759	12	47.11909	"female"	FALSE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"excellent"	8.680638	1.791759	12	48.11909	"female"	FALSE	FALSE
2	3.258096	FALSE	6.119858	7.506152	FALSE	9.967326	"excellent"	8.680638	1.791759	12	12.32307	"female"	TRUE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	9.967326	"excellent"	8.680638	1.791759	12	13.32307	"female"	TRUE	FALSE
1	3.258096	FALSE	6.119858	7.506152	FALSE	9.967326	"excellent"	8.680638	1.791759	12	14.32307	"female"	TRUE	FALSE
2	3.258096	FALSE	6.119858	7.506152	FALSE	6.9	"excellent"	8.680638	1.791759	12	48.62971	"male"	FALSE	FALSE
1	3.258096	FALSE	6.119858	7.506152	FALSE	6.9	"excellent"	8.680638	1.791759	12	49.62971	"male"	FALSE	FALSE
5	3.258096	FALSE	6.119858	7.506152	FALSE	6.9	"excellent"	8.680638	1.791759	12	50.62971	"male"	FALSE	FALSE
1	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"excellent"	8.680638	1.791759	11	18.59822	"female"	FALSE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"excellent"	8.680638	1.791759	11	19.59822	"female"	FALSE	FALSE
0	3.258096	FALSE	6.119858	7.506152	FALSE	3.4	"excellent"	8.680638	1.791759	11	20.59822	"female"	FALSE	FALSE
0	3.258096	FALSE	5.497783	6.884077	FALSE	6.9	"excellent"	8.113551	0	12	20.37509	"male"	FALSE	FALSE
0	3.258096	FALSE	5.497783	6.884077	FALSE	6.9	"excellent"	8.113551	0	12	21.37509	"male"	FALSE	FALSE
0	3.258096	FALSE	5.497783	6.884077	FALSE	6.9	"excellent"	8.113551	0	12	22.37509	"male"	FALSE	FALSE
1	4.564348	TRUE	5.352806	5.061929	TRUE	3.4	"good"	7.099662	0	6	43.07187	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.557592	1.098612	12	44.60506	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.557592	1.098612	12	45.60506	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.557592	1.098612	12	46.60506	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.557592	1.098612	12	17.66461	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.557592	1.098612	12	18.66461	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.557592	1.098612	12	19.66461	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.557592	1.098612	12	44.59685	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.557592	1.098612	12	45.59685	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.557592	1.098612	12	46.59685	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.607715	1.098612	12	19.75086	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.607715	1.386294	12	20.75086	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.607715	1.386294	12	21.75086	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.607715	0.6931472	12	22.75086	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.607715	0.6931472	12	23.75086	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.607715	1.098612	9	47.93977	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.607715	1.386294	9	48.93977	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.607715	1.386294	9	49.93977	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.607715	1.098612	7	51.07734	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.607715	1.386294	7	52.07734	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.607715	1.386294	7	53.07734	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	0.6931472	1.386294	14	4.717317	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	9.967326	"good"	0.6931472	1.386294	14	5.717317	"male"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	9.967326	"good"	0.6931472	1.386294	14	6.717317	"male"	TRUE	TRUE
8	0	FALSE	0	0	FALSE	9.967326	"excellent"	0.6931472	1.386294	14	1.705681	"female"	TRUE	TRUE
9	0	FALSE	0	0	FALSE	9.967326	"excellent"	0.6931472	1.386294	14	2.705681	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	0.6931472	1.386294	14	3.705681	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	0.6931472	1.386294	12	32.64887	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	0.6931472	1.386294	12	33.64887	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	0.6931472	1.386294	12	34.64887	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	0.6931472	1.386294	14	30.12731	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	0.6931472	1.386294	14	31.12731	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	13.8	"excellent"	0.6931472	1.386294	14	32.12731	"female"	FALSE	TRUE
2	4.564348	FALSE	5.991465	6.042758	FALSE	24.1	"excellent"	8.922049	0.6931472	10	39.0308	"female"	FALSE	FALSE
1	4.564348	FALSE	5.991465	6.042758	FALSE	24.1	"excellent"	8.922049	0.6931472	10	40.0308	"female"	FALSE	FALSE
0	4.564348	FALSE	5.991465	6.042758	FALSE	24.1	"excellent"	8.922049	0.6931472	10	41.0308	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	8.098198	1.098612	9	22.20671	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	8.098198	0.6931472	9	23.20671	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.098198	1.098612	9	2.937714	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	8.098198	0.6931472	9	3.937714	"female"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.87355	1.098612	16	42.37372	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.87355	1.098612	16	43.37372	"female"	FALSE	FALSE
9	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.87355	1.098612	16	44.37372	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.87355	1.098612	16	45.37372	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.87355	1.098612	16	46.37372	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.87355	1.098612	16	11.47159	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.87355	1.098612	16	12.47159	"male"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.87355	1.098612	16	13.47159	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.87355	1.098612	16	14.47159	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	8.87355	1.098612	16	15.47159	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.87355	1.098612	16	16.26557	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.87355	1.098612	16	17.26557	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.87355	1.098612	16	18.26557	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.87355	1.098612	16	19.26557	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.87355	1.098612	16	20.26557	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	TRUE	10.3	"good"	9.170782	0	12	28.90075	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	TRUE	10.3	"good"	9.170782	0	12	29.90075	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	TRUE	10.3	"good"	9.170782	0	12	30.90075	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	TRUE	10.3	"good"	9.170782	0	12	31.90075	"male"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	TRUE	10.3	"good"	9.170782	0	12	32.90075	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.099668	1.386294	12	29.6345	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.099668	1.386294	12	30.6345	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.099668	1.386294	12	31.6345	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.099668	1.386294	12	5.322382	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.099668	1.386294	12	6.322382	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.099668	1.386294	12	7.322382	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.099668	1.386294	12	28.91992	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.099668	1.386294	12	29.91992	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.099668	1.386294	12	30.91992	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.099668	1.386294	12	6.732375	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.099668	1.386294	12	7.732375	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.099668	1.386294	12	8.732375	"female"	TRUE	FALSE
1	4.564348	FALSE	6.605095	6.656388	FALSE	10.3	"good"	6.375894	1.098612	12	48.87611	"female"	FALSE	FALSE
0	4.564348	FALSE	6.605095	6.656388	FALSE	10.3	"good"	6.375894	1.098612	12	49.87611	"female"	FALSE	FALSE
0	4.564348	FALSE	6.605095	6.656388	FALSE	10.3	"good"	6.375894	1.098612	12	50.87611	"female"	FALSE	FALSE
1	4.564348	FALSE	6.605095	6.656388	FALSE	3.4	"excellent"	6.375894	1.098612	12	48.91718	"male"	FALSE	FALSE
1	4.564348	FALSE	6.605095	6.656388	FALSE	3.4	"excellent"	6.375894	1.098612	12	49.91718	"male"	FALSE	FALSE
1	4.564348	FALSE	6.605095	6.656388	FALSE	3.4	"excellent"	6.375894	1.098612	12	50.91718	"male"	FALSE	FALSE
0	4.564348	FALSE	6.605095	6.656388	FALSE	6.9	"excellent"	6.375894	1.098612	13.5	20.23545	"female"	FALSE	FALSE
0	4.564348	FALSE	6.605095	6.656388	FALSE	6.9	"excellent"	6.375894	1.098612	13.5	21.23545	"female"	FALSE	FALSE
0	4.564348	FALSE	6.605095	6.656388	FALSE	6.9	"excellent"	6.375894	1.098612	13.5	22.23545	"female"	FALSE	FALSE
1	0	FALSE	2.821379	0	FALSE	10.3	"excellent"	9.441159	0	14	30.73785	"male"	FALSE	FALSE
0	0	FALSE	2.821379	0	FALSE	10.3	"excellent"	9.441159	0	14	31.73785	"male"	FALSE	FALSE
4	0	FALSE	2.821379	0	FALSE	10.3	"excellent"	9.441159	0.6931472	14	32.73785	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.609438	7	4.13963	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.609438	7	5.13963	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.386294	7	6.13963	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	6.923874	1.609438	7	15.14305	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	6.923874	1.609438	7	16.14305	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	6.923874	1.386294	7	17.14305	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	6.923874	1.609438	7	33.02122	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	6.923874	1.609438	7	34.02122	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	6.923874	1.386294	7	35.02122	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.609438	7	9.705681	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.609438	7	10.70568	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.609438	7	13.34429	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.609438	7	14.34429	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	6.923874	1.386294	7	15.34429	"female"	TRUE	FALSE
1	0	FALSE	5.352806	0	FALSE	17.2	"fair"	7.373242	0	2	54.04244	"female"	FALSE	FALSE
3	0	FALSE	5.352806	0	FALSE	17.2	"fair"	7.373242	0	2	55.04244	"female"	FALSE	FALSE
2	0	FALSE	5.352806	0	FALSE	17.2	"fair"	7.373242	0	2	56.04244	"female"	FALSE	FALSE
6	0	FALSE	6.953913	0	FALSE	9.967326	"excellent"	8.210876	1.609438	13	0.4079398	"male"	TRUE	FALSE
7	0	FALSE	6.953913	0	FALSE	9.967326	"excellent"	8.210876	1.791759	13	1.40794	"male"	TRUE	FALSE
4	0	FALSE	6.953913	0	FALSE	9.967326	"excellent"	8.210876	1.791759	13	2.40794	"male"	TRUE	FALSE
6	0	FALSE	4.356709	0	FALSE	9.967326	"excellent"	8.615081	1.098612	10	4.205339	"male"	TRUE	FALSE
16	0	FALSE	4.356709	0	FALSE	9.967326	"excellent"	8.615081	1.098612	10	5.205339	"male"	TRUE	FALSE
2	0	FALSE	4.356709	0	FALSE	9.967326	"excellent"	8.615081	1.098612	10	6.205339	"male"	TRUE	FALSE
5	0	FALSE	4.356709	0	TRUE	6.9	"excellent"	8.615081	1.098612	10	20.83504	"female"	FALSE	FALSE
5	0	FALSE	4.356709	0	TRUE	6.9	"excellent"	8.615081	1.098612	10	21.83504	"female"	FALSE	FALSE
5	0	FALSE	4.356709	0	TRUE	6.9	"excellent"	8.615081	1.098612	10	22.83504	"female"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.92244	1.386294	14	0.0684463	"male"	TRUE	FALSE
9	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.92244	1.386294	14	1.068446	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.92244	1.386294	14	2.068446	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.92244	1.609438	14	3.068446	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.92244	1.609438	14	4.068446	"male"	TRUE	FALSE
1	0	FALSE	6.364407	0	TRUE	0	"excellent"	9.60747	1.791759	13	19.00068	"male"	FALSE	FALSE
0	0	FALSE	6.364407	0	TRUE	0	"excellent"	9.60747	1.791759	13	20.00068	"male"	FALSE	FALSE
2	0	FALSE	6.364407	0	TRUE	0	"excellent"	9.60747	1.791759	13	21.00068	"male"	FALSE	FALSE
0	0	FALSE	6.364407	0	TRUE	0	"excellent"	9.60747	1.791759	13	22.00068	"male"	FALSE	FALSE
1	0	FALSE	6.364407	0	TRUE	0	"excellent"	9.60747	1.791759	13	23.00068	"male"	FALSE	FALSE
4	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	14	20.22998	"female"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	14	21.22998	"female"	FALSE	FALSE
4	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	14	22.22998	"female"	FALSE	FALSE
1	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	14	23.22998	"female"	FALSE	FALSE
2	0	FALSE	6.364407	0	FALSE	3.4	"excellent"	9.60747	1.791759	14	24.22998	"female"	FALSE	FALSE
5	4.564348	FALSE	0	0	TRUE	9.967326	"excellent"	7.440866	0.6931472	9	0.0465435	"male"	TRUE	FALSE
0	4.564348	FALSE	0	0	TRUE	9.967326	"excellent"	7.440866	0.6931472	9	1.046543	"male"	TRUE	FALSE
2	4.564348	FALSE	0	0	TRUE	9.967326	"excellent"	7.440866	0.6931472	9	2.046543	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.878646	1.609438	9	21.9822	"male"	FALSE	FALSE
1	4.564348	FALSE	6.620073	6.671367	FALSE	6.9	"excellent"	9.246778	1.609438	11.38739	35.00068	"male"	FALSE	TRUE
3	4.564348	FALSE	6.620073	6.671367	FALSE	6.9	"excellent"	9.246778	1.609438	11.38739	36.00068	"male"	FALSE	TRUE
0	4.564348	FALSE	6.620073	6.671367	FALSE	6.9	"excellent"	9.246778	1.791759	11.38739	37.00068	"male"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.79755	1.098612	15	0.1122519	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.79755	1.098612	15	1.112252	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.79755	1.098612	15	2.112252	"male"	TRUE	FALSE
1	3.931826	FALSE	5.416101	6.109248	TRUE	9.967326	"excellent"	7.635405	1.098612	12	0.5913758	"female"	TRUE	FALSE
2	3.931826	FALSE	5.416101	6.109248	TRUE	9.967326	"excellent"	7.635405	1.098612	12	1.591376	"female"	TRUE	FALSE
1	3.931826	FALSE	5.416101	6.109248	TRUE	9.967326	"excellent"	7.635405	1.098612	12	2.591376	"female"	TRUE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.94591	11.38739	0.1396304	"male"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.94591	11.38739	1.13963	"male"	TRUE	FALSE
17	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.881529	1.94591	11.38739	2.13963	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.845734	1.098612	16	12.80219	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.845734	1.098612	16	13.80219	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.845734	1.098612	16	14.80219	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.098198	1.098612	12	25.22382	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.977376	0.6931472	12	54.93224	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.977376	0.6931472	12	55.93224	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.977376	0.6931472	12	56.93224	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.977376	0.6931472	12	57.93224	"male"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.977376	0.6931472	12	58.93224	"male"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.977376	0.6931472	12	50.30253	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.977376	0.6931472	12	51.30253	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.977376	0.6931472	12	52.30253	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.977376	0.6931472	12	53.30253	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.977376	0.6931472	12	54.30253	"female"	FALSE	TRUE
2	0	FALSE	6.087683	0	FALSE	13.8	"excellent"	8.217072	0	13	22.79808	"female"	FALSE	FALSE
2	0	FALSE	6.087683	0	FALSE	13.8	"excellent"	8.217072	0	13	23.79808	"female"	FALSE	FALSE
9	0	FALSE	6.087683	0	FALSE	13.8	"excellent"	8.217072	0	13	24.79808	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	8.407681	1.609438	11	18.16564	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.407681	1.791759	11	19.16564	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.407681	1.791759	11	20.16564	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	0	"excellent"	8.407681	1.609438	9	29.36345	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	8.407681	1.791759	9	30.36345	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	0	"excellent"	8.407681	1.791759	9	31.36345	"male"	FALSE	FALSE
1	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"excellent"	8.922049	0.6931472	10	45.45106	"male"	FALSE	FALSE
2	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"excellent"	8.922049	0.6931472	10	46.45106	"male"	FALSE	FALSE
2	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"excellent"	8.922049	0.6931472	10	47.45106	"male"	FALSE	FALSE
4	0	FALSE	5.629059	0	TRUE	9.967326	"excellent"	8.606321	1.609438	12	0.6960986	"female"	TRUE	FALSE
1	0	FALSE	5.629059	0	TRUE	9.967326	"excellent"	8.606321	1.609438	12	1.696099	"female"	TRUE	FALSE
2	0	FALSE	5.629059	0	TRUE	9.967326	"excellent"	8.606321	1.609438	12	2.696099	"female"	TRUE	FALSE
2	0	FALSE	5.629059	0	TRUE	9.967326	"excellent"	8.606321	1.609438	12	3.696099	"female"	TRUE	FALSE
5	3.931826	FALSE	6.253829	7.600903	TRUE	9.967326	"excellent"	8.717532	1.386294	12	0.6933607	"male"	TRUE	FALSE
1	3.931826	FALSE	6.253829	7.600903	TRUE	9.967326	"excellent"	8.717532	1.386294	12	1.693361	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.696493	1.386294	12	0.3730322	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.696493	1.386294	12	1.373032	"female"	TRUE	FALSE
13	0	FALSE	6.953913	0	TRUE	9.967326	"excellent"	8.210876	1.791759	13	0.37577	"female"	TRUE	FALSE
14	0	FALSE	6.953913	0	TRUE	9.967326	"excellent"	8.210876	1.791759	13	1.37577	"female"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.500862	1.609438	13	0.156742	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.607715	1.386294	7	0.4223135	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.607715	1.386294	7	1.422313	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.607715	0.6931472	7	2.422313	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.607715	0.6931472	7	3.422313	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	9.967326	"excellent"	8.735299	1.386294	12	0.9431896	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.035617	1.386294	12	0.0882957	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.035617	1.386294	12	1.088296	"male"	TRUE	FALSE
9	3.258096	FALSE	5.966147	7.352441	TRUE	9.967326	"excellent"	8.986735	0.6931472	12	0.1047228	"male"	TRUE	FALSE
5	3.258096	FALSE	5.966147	7.352441	TRUE	9.967326	"excellent"	8.986735	0.6931472	12	1.104723	"male"	TRUE	FALSE
1	4.564348	TRUE	6.694067	6.160541	TRUE	9.967326	"excellent"	8.952033	1.386294	14	0.9678302	"male"	TRUE	FALSE
4	0	FALSE	5.796483	0	TRUE	9.967326	"excellent"	9.159801	1.098612	14	0.9760438	"male"	TRUE	FALSE
5	0	FALSE	5.796483	0	TRUE	9.967326	"excellent"	9.159801	1.098612	14	1.976044	"male"	TRUE	FALSE
6	0	FALSE	5.796483	0	TRUE	9.967326	"excellent"	9.159801	1.098612	14	2.976044	"male"	TRUE	FALSE
8	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"excellent"	8.78264	1.94591	7	0.9678302	"male"	TRUE	FALSE
5	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"excellent"	8.78264	2.079442	7	1.96783	"male"	TRUE	FALSE
5	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"excellent"	8.78264	2.079442	7	2.96783	"male"	TRUE	FALSE
7	0	FALSE	5.566358	0	TRUE	9.967326	"excellent"	8.765949	1.386294	12	0.7378508	"male"	TRUE	FALSE
12	0	FALSE	6.660473	0	TRUE	9.967326	"excellent"	7.983169	1.386294	10	0.6146475	"male"	TRUE	FALSE
8	0	FALSE	4.832943	0	TRUE	9.967326	"excellent"	9.305262	1.098612	16	0.5927447	"male"	TRUE	FALSE
4	4.564348	TRUE	5.703783	5.755076	TRUE	9.967326	"excellent"	9.289835	1.098612	9	0.4065709	"male"	TRUE	FALSE
6	4.564348	FALSE	6.818924	6.870217	TRUE	9.967326	"excellent"	7.929743	1.386294	9	0.4722793	"male"	TRUE	FALSE
7	4.564348	FALSE	6.818924	6.870217	TRUE	9.967326	"excellent"	7.929743	1.386294	9	1.472279	"male"	TRUE	FALSE
12	4.564348	FALSE	6.818924	6.870217	TRUE	9.967326	"excellent"	7.929743	1.609438	9	2.472279	"male"	TRUE	FALSE
9	4.564348	FALSE	6.620073	6.671367	TRUE	9.967326	"excellent"	9.246778	1.791759	13	0.4859685	"male"	TRUE	TRUE
3	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.92244	1.609438	14	0.9767283	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	8.92244	1.609438	14	1.976728	"female"	TRUE	FALSE
5	3.258096	FALSE	6.327937	7.714231	TRUE	9.967326	"excellent"	8.728675	1.609438	13	0.0999316	"female"	TRUE	FALSE
9	0	FALSE	2.821379	0	TRUE	9.967326	"excellent"	9.441159	0.6931472	14	0.0670773	"male"	TRUE	FALSE
1	4.564348	FALSE	6.802395	6.959049	TRUE	9.967326	"excellent"	8.759618	0.6931472	13	0.4592745	"male"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.959049	TRUE	9.967326	"excellent"	8.759618	0.6931472	13	1.459274	"male"	TRUE	TRUE
3	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"excellent"	8.78264	2.079442	7	0.1800137	"male"	TRUE	FALSE
5	3.258096	FALSE	6.49224	7.878534	TRUE	9.967326	"excellent"	8.78264	2.079442	7	1.180014	"male"	TRUE	FALSE
6	0	FALSE	5.426711	0	TRUE	9.967326	"excellent"	7.852084	0.6931472	11.38739	0.7748117	"male"	TRUE	FALSE
7	0	FALSE	5.052161	0	TRUE	9.967326	"excellent"	8.655215	1.386294	12	0.2135524	"male"	TRUE	FALSE
17	4.564348	FALSE	6.818924	6.870217	TRUE	9.967326	"excellent"	7.929743	1.609438	9	0.1177276	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.313866	1.791759	10	18.04791	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.313866	1.791759	10	19.04791	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.313866	1.791759	10	20.04791	"female"	FALSE	FALSE
2	4.564348	FALSE	6.55108	6.602374	TRUE	10.3	"good"	8.976113	1.386294	8	30.63107	"male"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	TRUE	10.3	"good"	8.976113	1.386294	8	31.63107	"male"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	TRUE	10.3	"good"	8.976113	1.386294	8	32.63107	"male"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	9.967326	"good"	8.976113	1.386294	9	6.349076	"female"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	9.967326	"good"	8.976113	1.386294	9	7.349076	"female"	TRUE	FALSE
1	4.564348	FALSE	6.55108	6.602374	FALSE	9.967326	"good"	8.976113	1.386294	9	8.349076	"female"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	0	"good"	8.976113	1.386294	9	26.4449	"female"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	0	"good"	8.976113	1.386294	9	27.4449	"female"	FALSE	FALSE
8	4.564348	FALSE	6.55108	6.602374	FALSE	0	"good"	8.976113	1.386294	9	28.4449	"female"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	9.967326	"good"	8.976113	1.386294	9	5.349761	"male"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	9.967326	"good"	8.976113	1.386294	9	6.349761	"male"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	9.967326	"good"	8.976113	1.386294	9	7.349761	"male"	TRUE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	6.9	"excellent"	8.635298	1.386294	12	27.96715	"female"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	6.9	"excellent"	8.635298	1.386294	12	28.96715	"female"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	6.9	"excellent"	8.635298	1.386294	12	29.96715	"female"	FALSE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	8.635298	1.386294	12	6.360027	"female"	TRUE	FALSE
6	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	8.635298	1.386294	12	7.360027	"female"	TRUE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	8.635298	1.386294	12	8.360027	"female"	TRUE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"good"	8.635298	1.386294	12	3.96167	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"good"	8.635298	1.386294	12	4.96167	"male"	TRUE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"good"	8.635298	1.386294	12	5.96167	"male"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"excellent"	8.635298	1.386294	12	29.04038	"male"	FALSE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"excellent"	8.635298	1.386294	12	30.04038	"male"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"excellent"	8.635298	1.386294	12	31.04038	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.335088	1.386294	16	4.295688	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.335088	1.386294	16	5.295688	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.335088	1.386294	16	6.295688	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"excellent"	8.335088	1.386294	16	29.12526	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	8.335088	1.386294	16	30.12526	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.335088	1.386294	16	31.12526	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.335088	1.386294	15	30.80356	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	8.335088	1.386294	15	31.80356	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.335088	1.386294	15	32.80356	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.335088	1.386294	16	5.475702	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.335088	1.386294	16	6.475702	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.335088	1.386294	16	7.475702	"female"	TRUE	FALSE
3	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.764901	0	12	26.51882	"male"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.764901	0	12	27.51882	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.764901	0	12	28.51882	"male"	FALSE	FALSE
1	0	FALSE	5.399971	0	FALSE	10.3	"good"	8.976113	0	12	61.08145	"female"	FALSE	FALSE
1	0	FALSE	5.399971	0	FALSE	10.3	"good"	8.976113	0	12	62.08145	"female"	FALSE	FALSE
0	0	FALSE	5.399971	0	FALSE	10.3	"good"	8.976113	0	12	63.08145	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	10.3	"good"	7.871512	1.386294	12	29.25393	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	10.3	"good"	7.871512	1.386294	12	30.25393	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	10.3	"good"	7.871512	1.386294	12	31.25393	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	0	"good"	7.871512	1.386294	12	29.20192	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	0	"good"	7.871512	1.386294	12	30.20192	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	0	"good"	7.871512	1.386294	12	31.20192	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	9.967326	"fair"	7.871512	1.386294	12	5.820671	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"fair"	7.871512	1.386294	12	6.820671	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	9.967326	"fair"	7.871512	1.386294	12	7.820671	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	9.967326	"good"	7.871512	1.386294	12	2.595483	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"good"	7.871512	1.386294	12	3.595483	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"good"	7.871512	1.386294	12	4.595482	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.45272	0.6931472	16	6.234086	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.45272	0.6931472	16	7.234086	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.45272	0.6931472	16	8.234086	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.45272	0.6931472	16	9.234086	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.45272	0.6931472	16	10.23409	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45272	0.6931472	16	33.93566	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45272	0.6931472	16	34.93566	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45272	0.6931472	16	35.93566	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45272	0.6931472	16	36.93566	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"excellent"	8.45272	0.6931472	16	37.93566	"female"	FALSE	FALSE
0	4.564348	TRUE	6.226378	6.160541	FALSE	10.3	"excellent"	8.550271	1.098612	12	29.4319	"male"	FALSE	FALSE
0	4.564348	TRUE	6.226378	6.160541	FALSE	10.3	"excellent"	8.550271	1.098612	12	30.4319	"male"	FALSE	FALSE
0	4.564348	TRUE	6.226378	6.160541	FALSE	10.3	"excellent"	8.550271	1.098612	12	31.4319	"male"	FALSE	FALSE
4	4.564348	TRUE	6.226378	6.160541	FALSE	6.9	"good"	8.550271	1.098612	12	25.09514	"female"	FALSE	FALSE
0	4.564348	TRUE	6.226378	6.160541	FALSE	6.9	"good"	8.550271	1.098612	12	26.09514	"female"	FALSE	FALSE
0	4.564348	TRUE	6.226378	6.160541	FALSE	6.9	"good"	8.550271	1.098612	12	27.09514	"female"	FALSE	FALSE
1	4.564348	TRUE	6.226378	6.160541	FALSE	9.967326	"excellent"	8.550271	1.098612	12	4.246407	"female"	TRUE	FALSE
1	4.564348	TRUE	6.226378	6.160541	FALSE	9.967326	"excellent"	8.550271	1.098612	12	5.246407	"female"	TRUE	FALSE
1	4.564348	TRUE	6.226378	6.160541	FALSE	9.967326	"excellent"	8.550271	1.098612	12	6.246407	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"good"	8.976113	0	10	59.24983	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.976113	0	10	60.24983	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.976113	0	10	61.24983	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	7.148781	1.098612	9	1.478439	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	7.148781	1.098612	9	2.478439	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.148781	1.386294	9	3.478439	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	7.148781	1.098612	9	16.63518	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.148781	1.098612	9	17.63518	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"good"	7.148781	1.386294	9	18.63518	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	7.148781	1.098612	8	21.83984	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"good"	7.148781	1.098612	8	22.83984	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"good"	7.148781	1.386294	8	23.83984	"male"	FALSE	FALSE
5	0	FALSE	5.676206	0	TRUE	3.4	"good"	7.55337	1.791759	12	34.45311	"male"	FALSE	FALSE
1	0	FALSE	5.676206	0	TRUE	3.4	"good"	7.55337	1.791759	12	35.45311	"male"	FALSE	FALSE
1	0	FALSE	5.676206	0	TRUE	3.4	"good"	7.55337	1.791759	12	36.45311	"male"	FALSE	FALSE
4	0	FALSE	5.676206	0	TRUE	3.4	"good"	7.55337	1.791759	12	37.45311	"male"	FALSE	FALSE
2	0	FALSE	5.676206	0	TRUE	3.4	"good"	7.55337	1.791759	12	38.45311	"male"	FALSE	FALSE
1	0	FALSE	5.676206	0	TRUE	9.967326	"fair"	7.55337	1.791759	12	9.916495	"male"	TRUE	FALSE
2	0	FALSE	5.676206	0	TRUE	9.967326	"fair"	7.55337	1.791759	12	10.9165	"male"	TRUE	FALSE
1	0	FALSE	5.676206	0	TRUE	9.967326	"fair"	7.55337	1.791759	12	11.9165	"male"	TRUE	FALSE
8	0	FALSE	5.676206	0	TRUE	9.967326	"fair"	7.55337	1.791759	12	12.9165	"male"	TRUE	FALSE
5	0	FALSE	5.676206	0	TRUE	9.967326	"fair"	7.55337	1.791759	12	13.9165	"male"	TRUE	FALSE
7	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	5.445585	"female"	TRUE	FALSE
5	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	6.445585	"female"	TRUE	FALSE
0	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	7.445585	"female"	TRUE	FALSE
0	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	8.445585	"female"	TRUE	FALSE
1	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	9.445585	"female"	TRUE	FALSE
2	0	FALSE	5.676206	0	FALSE	9.967326	"good"	7.55337	1.791759	12	11.36756	"female"	TRUE	FALSE
2	0	FALSE	5.676206	0	FALSE	9.967326	"good"	7.55337	1.791759	12	12.36756	"female"	TRUE	FALSE
2	0	FALSE	5.676206	0	FALSE	9.967326	"good"	7.55337	1.791759	12	13.36756	"female"	TRUE	FALSE
5	0	FALSE	5.676206	0	FALSE	9.967326	"good"	7.55337	1.791759	12	14.36756	"female"	TRUE	FALSE
7	0	FALSE	5.676206	0	FALSE	9.967326	"good"	7.55337	1.791759	12	15.36756	"female"	TRUE	FALSE
11	0	FALSE	5.676206	0	FALSE	17.2	"good"	7.55337	1.791759	12	31.61123	"female"	FALSE	FALSE
4	0	FALSE	5.676206	0	FALSE	17.2	"good"	7.55337	1.791759	12	32.61123	"female"	FALSE	FALSE
11	0	FALSE	5.676206	0	FALSE	17.2	"good"	7.55337	1.791759	12	33.61123	"female"	FALSE	FALSE
9	0	FALSE	5.676206	0	FALSE	17.2	"good"	7.55337	1.791759	12	34.61123	"female"	FALSE	FALSE
8	0	FALSE	5.676206	0	FALSE	17.2	"good"	7.55337	1.791759	12	35.61123	"female"	FALSE	FALSE
6	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	6.61191	"male"	TRUE	FALSE
9	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	7.61191	"male"	TRUE	FALSE
6	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	8.61191	"male"	TRUE	FALSE
10	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	9.61191	"male"	TRUE	FALSE
5	0	FALSE	5.676206	0	FALSE	9.967326	"fair"	7.55337	1.791759	12	10.61191	"male"	TRUE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"good"	8.53989	0	12	45.93566	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"good"	8.53989	0	12	46.93566	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"good"	8.53989	0	12	47.93566	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.976113	0	12	52.25188	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.976113	0	12	53.25188	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.976113	0	12	54.25188	"female"	FALSE	FALSE
3	4.564348	TRUE	6.104436	6.160541	FALSE	3.4	"excellent"	8.853306	1.098612	19	41.36071	"male"	FALSE	FALSE
0	4.564348	TRUE	6.104436	6.160541	FALSE	3.4	"excellent"	8.853306	1.098612	19	42.36071	"male"	FALSE	FALSE
1	4.564348	TRUE	6.104436	6.160541	FALSE	3.4	"excellent"	8.853306	1.098612	19	43.36071	"male"	FALSE	FALSE
5	4.564348	TRUE	6.104436	6.160541	FALSE	24.1	"good"	8.853306	1.098612	19	34.65298	"female"	FALSE	FALSE
3	4.564348	TRUE	6.104436	6.160541	FALSE	24.1	"good"	8.853306	1.098612	19	35.65298	"female"	FALSE	FALSE
1	4.564348	TRUE	6.104436	6.160541	FALSE	24.1	"good"	8.853306	1.098612	19	36.65298	"female"	FALSE	FALSE
8	4.564348	TRUE	6.104436	6.160541	FALSE	9.967326	"good"	8.853306	1.098612	19	3.014374	"male"	TRUE	FALSE
2	4.564348	TRUE	6.104436	6.160541	FALSE	9.967326	"good"	8.853306	1.098612	19	4.014374	"male"	TRUE	FALSE
2	4.564348	TRUE	6.104436	6.160541	FALSE	9.967326	"good"	8.853306	1.098612	19	5.014374	"male"	TRUE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	13.92745	"female"	TRUE	FALSE
7	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	14.92745	"female"	TRUE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	15.92745	"female"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	16.92745	"female"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	17.92745	"female"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	8.167009	"male"	TRUE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	9.167009	"male"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	10.16701	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	11.16701	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	12.16701	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	9.109707	1.94591	16	15.12936	"male"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	9.109707	1.94591	16	16.12936	"male"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	9.109707	1.94591	16	17.12936	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	9.109707	1.94591	16	18.12936	"male"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	9.109707	1.94591	16	19.12936	"male"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	9.109707	1.94591	18	43.8768	"male"	FALSE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	9.109707	1.94591	18	44.8768	"male"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	9.109707	1.94591	18	45.8768	"male"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	9.109707	1.94591	18	46.8768	"male"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	9.109707	1.94591	18	47.8768	"male"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	12.2601	"male"	TRUE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	13.2601	"male"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	14.2601	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	15.2601	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	16.2601	"male"	TRUE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	10.11636	"male"	TRUE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	11.11636	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	12.11636	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	13.11636	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	9.109707	1.94591	16	14.11636	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	9.109707	1.94591	16	42.91855	"female"	FALSE	FALSE
2	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	9.109707	1.94591	16	43.91855	"female"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	9.109707	1.94591	16	44.91855	"female"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	9.109707	1.94591	16	45.91855	"female"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	9.109707	1.94591	16	46.91855	"female"	FALSE	FALSE
2	0	FALSE	5.974827	0	FALSE	13.8	"excellent"	8.103312	0	16	55.72895	"male"	FALSE	FALSE
4	0	FALSE	5.974827	0	FALSE	13.8	"excellent"	8.103312	0	16	56.72895	"male"	FALSE	FALSE
2	0	FALSE	5.974827	0	FALSE	13.8	"excellent"	8.103312	0	16	57.72895	"male"	FALSE	FALSE
0	4.564348	TRUE	6.005367	5.061929	FALSE	10.3	"poor"	8.680439	0	12	60.81314	"male"	FALSE	FALSE
1	4.564348	TRUE	6.005367	5.061929	FALSE	10.3	"poor"	8.680439	0	12	61.81314	"male"	FALSE	FALSE
0	4.564348	TRUE	6.005367	5.061929	FALSE	10.3	"poor"	8.680439	0	12	62.81314	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.39371	0	17	28.87337	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.39371	0	17	29.87337	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.39371	0	17	30.87337	"male"	FALSE	FALSE
1	0	FALSE	5.437731	0	FALSE	17.2	"good"	8.834523	0.6931472	10	57.80698	"female"	FALSE	FALSE
5	0	FALSE	5.437731	0	FALSE	17.2	"good"	8.834523	0.6931472	10	58.80698	"female"	FALSE	FALSE
2	0	FALSE	5.437731	0	FALSE	17.2	"good"	8.834523	0.6931472	10	59.80698	"female"	FALSE	FALSE
2	0	FALSE	5.437731	0	FALSE	10.3	"excellent"	8.834523	0.6931472	10	60.95551	"male"	FALSE	FALSE
3	0	FALSE	5.437731	0	FALSE	10.3	"excellent"	8.834523	0.6931472	10	61.95551	"male"	FALSE	FALSE
1	0	FALSE	5.437731	0	FALSE	10.3	"excellent"	8.834523	0.6931472	10	62.95551	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	TRUE	13.8	"fair"	9.058406	0.6931472	12	60.63792	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	13.8	"fair"	9.058406	0.6931472	12	61.63792	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	13.8	"fair"	9.058406	0.6931472	12	62.63792	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"good"	9.058406	0.6931472	12	56.93361	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"good"	9.058406	0.6931472	12	57.93361	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	20.7	"good"	9.058406	0.6931472	12	58.93361	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	11.38672	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	12.38672	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	13.38672	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	14.38672	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.098612	16	15.38672	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	12.49281	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	13.49281	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	14.49281	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.164048	1.386294	16	15.49281	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.164048	1.386294	16	32.84326	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.164048	1.386294	16	33.84326	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.164048	1.386294	16	34.84326	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.164048	1.386294	16	35.84326	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.164048	1.098612	16	36.84326	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.164048	1.386294	18	36.03012	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.164048	1.386294	18	37.03012	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.164048	1.386294	18	38.03012	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.164048	1.386294	18	39.03012	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.164048	1.098612	18	40.03012	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.99098	0.6931472	11	57.18549	"male"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.99098	0.6931472	11	58.18549	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.99098	0.6931472	11	59.18549	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.99098	0.6931472	12	60.25736	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.99098	0.6931472	12	61.25736	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.99098	0.6931472	12	62.25736	"female"	FALSE	FALSE
5	0	FALSE	5.418764	0	TRUE	17.2	"good"	8.637691	1.609438	6	37.62628	"male"	FALSE	FALSE
5	0	FALSE	5.418764	0	TRUE	17.2	"good"	8.637691	1.609438	6	38.62628	"male"	FALSE	FALSE
3	0	FALSE	5.418764	0	TRUE	17.2	"good"	8.637691	1.609438	6	39.62628	"male"	FALSE	FALSE
3	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	8.271048	"female"	TRUE	FALSE
1	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	9.271048	"female"	TRUE	FALSE
2	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	10.27105	"female"	TRUE	FALSE
5	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	6.551677	"female"	TRUE	FALSE
0	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	7.551677	"female"	TRUE	FALSE
0	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	8.551677	"female"	TRUE	FALSE
5	0	FALSE	5.418764	0	FALSE	20.7	"excellent"	8.637691	1.609438	11	27.60849	"female"	FALSE	FALSE
4	0	FALSE	5.418764	0	FALSE	20.7	"excellent"	8.637691	1.609438	11	28.60849	"female"	FALSE	FALSE
7	0	FALSE	5.418764	0	FALSE	20.7	"excellent"	8.637691	1.609438	11	29.60849	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.60718	0	18	31.7974	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	8.60718	0	18	32.7974	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.60718	0.6931472	18	33.7974	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"excellent"	9.193287	0.6931472	13	53.37714	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"excellent"	9.193287	0.6931472	13	54.37714	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"excellent"	9.193287	0.6931472	13	55.37714	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"excellent"	9.193287	0.6931472	13	56.37714	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"excellent"	9.193287	0.6931472	13	57.37714	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.193287	0.6931472	12	54.6694	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.193287	0.6931472	12	55.6694	"male"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.193287	0.6931472	12	56.6694	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.193287	0.6931472	12	57.6694	"male"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.193287	0.6931472	12	58.6694	"male"	FALSE	FALSE
4	0	FALSE	6.346478	0	FALSE	13.8	"excellent"	9.043895	1.386294	16	29.16085	"female"	FALSE	FALSE
1	0	FALSE	6.346478	0	FALSE	13.8	"excellent"	9.043895	1.386294	16	30.16085	"female"	FALSE	FALSE
10	0	FALSE	6.346478	0	FALSE	13.8	"excellent"	9.043895	1.386294	16	31.16085	"female"	FALSE	FALSE
3	0	FALSE	6.346478	0	FALSE	9.967326	"excellent"	9.043895	1.386294	16	4.030117	"male"	TRUE	FALSE
1	0	FALSE	6.346478	0	FALSE	9.967326	"excellent"	9.043895	1.386294	16	5.030117	"male"	TRUE	FALSE
2	0	FALSE	6.346478	0	FALSE	9.967326	"excellent"	9.043895	1.386294	16	6.030117	"male"	TRUE	FALSE
13	0	FALSE	6.346478	0	FALSE	9.967326	"excellent"	9.043895	1.386294	16	6.078029	"male"	TRUE	FALSE
4	0	FALSE	6.346478	0	FALSE	9.967326	"excellent"	9.043895	1.386294	16	7.078029	"male"	TRUE	FALSE
5	0	FALSE	6.346478	0	FALSE	9.967326	"excellent"	9.043895	1.386294	16	8.078029	"male"	TRUE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.905877	0.6931472	13	29.47023	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.905877	0.6931472	13	30.47023	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.905877	1.098612	13	31.47023	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.905877	1.098612	13	32.47023	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.905877	1.098612	13	33.47023	"male"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.905877	0.6931472	16	27.4935	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.905877	0.6931472	16	28.4935	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.905877	1.098612	16	29.4935	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.905877	1.098612	16	30.4935	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.905877	1.098612	16	31.4935	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"good"	9.333606	1.386294	9	15.32375	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	0	"good"	9.333606	1.098612	9	16.32375	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	9.333606	1.386294	9	43.15948	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	9.333606	1.098612	9	44.15948	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	9.333606	0.6931472	9	45.15948	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"good"	9.333606	1.386294	10	18.99247	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.333606	1.386294	12	46.24778	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	9.333606	1.098612	12	47.24778	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	9.333606	0.6931472	12	48.24778	"male"	FALSE	FALSE
7	0	FALSE	5.681128	0	TRUE	27.6	"good"	9.288317	0	12	58.72964	"female"	FALSE	FALSE
2	0	FALSE	5.681128	0	TRUE	27.6	"good"	9.288317	0	12	59.72964	"female"	FALSE	FALSE
0	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	11.86858	"male"	TRUE	FALSE
1	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	12.86858	"male"	TRUE	FALSE
1	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	13.86858	"male"	TRUE	FALSE
4	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	8.566735	"male"	TRUE	FALSE
1	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	9.566735	"male"	TRUE	FALSE
1	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	10.56674	"male"	TRUE	FALSE
2	0	FALSE	5.676206	0	FALSE	13.8	"excellent"	8.984679	1.791759	12	34.52156	"female"	FALSE	FALSE
1	0	FALSE	5.676206	0	FALSE	13.8	"excellent"	8.984679	1.791759	12	35.52156	"female"	FALSE	FALSE
4	0	FALSE	5.676206	0	FALSE	13.8	"excellent"	8.984679	1.791759	12	36.52156	"female"	FALSE	FALSE
0	0	FALSE	5.676206	0	TRUE	24.1	"excellent"	8.984679	1.791759	13	35.38124	"male"	FALSE	FALSE
0	0	FALSE	5.676206	0	TRUE	24.1	"excellent"	8.984679	1.791759	13	36.38124	"male"	FALSE	FALSE
3	0	FALSE	5.676206	0	TRUE	24.1	"excellent"	8.984679	1.791759	13	37.38124	"male"	FALSE	FALSE
1	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	3.279945	"male"	TRUE	FALSE
1	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	4.279945	"male"	TRUE	FALSE
4	0	FALSE	5.676206	0	FALSE	9.967326	"excellent"	8.984679	1.791759	12	5.279945	"male"	TRUE	FALSE
4	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	8.984679	1.791759	12	14.07255	"male"	TRUE	FALSE
0	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	8.984679	1.791759	12	15.07255	"male"	TRUE	FALSE
1	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	8.984679	1.791759	12	16.07255	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	5.845312	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	6.845312	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	7.845312	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	8.845311	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	9.845311	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	4.358658	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	5.358658	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	6.358658	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	7.358658	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	7.747071	1.098612	10	8.358659	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	37.9	"fair"	7.747071	1.098612	10	23.8193	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	37.9	"fair"	7.747071	1.098612	10	24.8193	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	37.9	"fair"	7.747071	1.098612	10	25.8193	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	37.9	"fair"	7.747071	1.098612	10	26.8193	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	37.9	"fair"	7.747071	1.098612	10	27.8193	"female"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.304194	1.098612	12	46.8501	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.304194	1.098612	12	47.8501	"female"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.304194	1.098612	12	48.8501	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.304194	1.098612	12	49.8501	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.304194	1.098612	12	50.8501	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.304194	1.098612	13	48.55578	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.304194	1.098612	13	49.55578	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.304194	1.098612	13	50.55578	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.304194	1.098612	13	51.55578	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.304194	1.098612	13	52.55578	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.304194	1.098612	12	19.09103	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.304194	1.098612	12	20.09103	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.304194	1.098612	12	21.09103	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.304194	1.098612	12	22.09103	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.304194	1.098612	12	23.09103	"male"	FALSE	FALSE
0	4.564348	TRUE	6.22543	6.160541	FALSE	3.4	"excellent"	9.123876	1.609438	12	32.67077	"male"	FALSE	FALSE
1	4.564348	TRUE	6.22543	6.160541	FALSE	3.4	"excellent"	9.123876	1.609438	12	33.67077	"male"	FALSE	FALSE
0	4.564348	TRUE	6.22543	6.160541	FALSE	3.4	"excellent"	9.123876	1.609438	12	34.67077	"male"	FALSE	FALSE
0	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	11.63313	"female"	TRUE	FALSE
0	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	12.63313	"female"	TRUE	FALSE
0	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	13.63313	"female"	TRUE	FALSE
0	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	10.65298	"female"	TRUE	FALSE
1	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	11.65298	"female"	TRUE	FALSE
1	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	12.65298	"female"	TRUE	FALSE
4	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	9.396304	"male"	TRUE	FALSE
3	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	10.3963	"male"	TRUE	FALSE
4	4.564348	TRUE	6.22543	6.160541	FALSE	9.967326	"excellent"	9.123876	1.609438	12	11.3963	"male"	TRUE	FALSE
8	4.564348	TRUE	6.22543	6.160541	FALSE	6.9	"excellent"	9.123876	1.609438	12	31.2115	"female"	FALSE	FALSE
2	4.564348	TRUE	6.22543	6.160541	FALSE	6.9	"excellent"	9.123876	1.609438	12	32.2115	"female"	FALSE	FALSE
0	4.564348	TRUE	6.22543	6.160541	FALSE	6.9	"excellent"	9.123876	1.609438	12	33.2115	"female"	FALSE	FALSE
1	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	9.03792	1.386294	17	3.682409	"female"	TRUE	FALSE
3	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	9.03792	1.386294	17	4.682409	"female"	TRUE	FALSE
3	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	9.03792	1.386294	17	5.682409	"female"	TRUE	FALSE
0	0	FALSE	6.094202	0	FALSE	3.4	"excellent"	9.03792	1.386294	17	29.36345	"male"	FALSE	FALSE
0	0	FALSE	6.094202	0	FALSE	3.4	"excellent"	9.03792	1.386294	17	30.36345	"male"	FALSE	FALSE
0	0	FALSE	6.094202	0	FALSE	3.4	"excellent"	9.03792	1.386294	17	31.36345	"male"	FALSE	FALSE
2	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	9.03792	1.386294	17	1.434634	"male"	TRUE	FALSE
4	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	9.03792	1.386294	17	2.434634	"male"	TRUE	FALSE
2	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	9.03792	1.386294	17	3.434634	"male"	TRUE	FALSE
1	0	FALSE	6.094202	0	FALSE	10.3	"excellent"	9.03792	1.386294	17	28.91171	"female"	FALSE	FALSE
2	0	FALSE	6.094202	0	FALSE	10.3	"excellent"	9.03792	1.386294	17	29.91171	"female"	FALSE	FALSE
1	0	FALSE	6.094202	0	FALSE	10.3	"excellent"	9.03792	1.386294	17	30.91171	"female"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.933731	FALSE	24.1	"excellent"	8.358593	0	13	50.37098	"female"	FALSE	FALSE
2	4.564348	FALSE	6.882438	6.933731	FALSE	24.1	"excellent"	8.358593	0	13	51.37098	"female"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.933731	FALSE	24.1	"excellent"	8.358593	0	13	52.37098	"female"	FALSE	FALSE
2	0	FALSE	5.313501	0	FALSE	17.2	"good"	9.263934	0	14	56.49829	"female"	FALSE	FALSE
1	0	FALSE	5.313501	0	FALSE	17.2	"good"	9.263934	0	14	57.49829	"female"	FALSE	FALSE
3	0	FALSE	5.313501	0	FALSE	17.2	"good"	9.263934	0	14	58.49829	"female"	FALSE	FALSE
3	0	FALSE	4.880982	0	FALSE	0	"good"	8.38451	0	16	24.87064	"female"	FALSE	FALSE
5	0	FALSE	4.880982	0	FALSE	0	"good"	8.38451	0	16	25.87064	"female"	FALSE	FALSE
7	0	FALSE	4.880982	0	FALSE	0	"good"	8.38451	0	16	26.87064	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.150613	1.386294	11	30.13826	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.150613	1.386294	11	31.13826	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.150613	1.386294	11	32.13826	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.150613	1.386294	12	27.83573	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.150613	1.386294	12	28.83573	"female"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.150613	1.386294	12	29.83573	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	9.150613	1.386294	12	5.223819	"female"	TRUE	FALSE
12	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	9.150613	1.386294	12	6.223819	"female"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	9.150613	1.386294	12	7.223819	"female"	TRUE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.150613	1.386294	12	8.238193	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.150613	1.386294	12	9.238193	"female"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.150613	1.386294	12	10.23819	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.971212	1.098612	13	1.514032	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.971212	1.386294	13	2.514031	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.971212	1.386294	13	3.514031	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	8.971212	1.098612	13	28.77207	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	8.971212	1.386294	13	29.77207	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	8.971212	1.386294	13	30.77207	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	8.971212	1.098612	15	33.25941	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.971212	1.386294	15	34.25941	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.971212	1.386294	15	35.25941	"male"	FALSE	FALSE
0	3.258096	FALSE	5.703783	7.090077	FALSE	3.4	"excellent"	7.350147	0.6931472	12	20.8679	"female"	FALSE	FALSE
0	3.258096	FALSE	5.703783	7.090077	FALSE	3.4	"excellent"	7.350147	0.6931472	12	21.8679	"female"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	3.4	"excellent"	7.350147	0.6931472	12	22.8679	"female"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	3.4	"excellent"	7.350147	1.098612	12	23.8679	"female"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	3.4	"excellent"	7.350147	1.098612	12	24.8679	"female"	FALSE	FALSE
2	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	7.350147	0.6931472	12	1.533196	"female"	TRUE	FALSE
0	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	7.350147	0.6931472	12	2.533196	"female"	TRUE	FALSE
0	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	7.350147	0.6931472	12	3.533196	"female"	TRUE	FALSE
2	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	7.350147	1.098612	12	4.533196	"female"	TRUE	FALSE
0	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	7.350147	1.098612	12	5.533196	"female"	TRUE	FALSE
1	3.258096	FALSE	0	6.659294	FALSE	9.967326	"excellent"	8.259699	0.6931472	14	3.742642	"female"	TRUE	FALSE
2	3.258096	FALSE	0	6.659294	FALSE	9.967326	"excellent"	8.259699	0.6931472	14	4.742642	"female"	TRUE	FALSE
0	3.258096	FALSE	0	6.659294	FALSE	9.967326	"excellent"	8.259699	0.6931472	14	5.742642	"female"	TRUE	FALSE
2	3.258096	FALSE	0	6.659294	FALSE	3.4	"excellent"	8.259699	0.6931472	14	24.76112	"female"	FALSE	FALSE
1	3.258096	FALSE	0	6.659294	FALSE	3.4	"excellent"	8.259699	0.6931472	14	25.76112	"female"	FALSE	FALSE
2	3.258096	FALSE	0	6.659294	FALSE	3.4	"excellent"	8.259699	0.6931472	14	26.76112	"female"	FALSE	FALSE
1	3.258096	FALSE	6.098074	7.484369	FALSE	3.4	"excellent"	8.012353	0	12	26.10267	"male"	FALSE	FALSE
1	3.258096	FALSE	6.098074	7.484369	FALSE	3.4	"excellent"	8.012353	0	12	27.10267	"male"	FALSE	FALSE
1	3.258096	FALSE	6.098074	7.484369	FALSE	3.4	"excellent"	8.012353	0	12	28.10267	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.582883	0.6931472	13	56.49829	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.582883	0.6931472	13	57.49829	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.582883	0.6931472	13	58.49829	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"excellent"	9.582883	0.6931472	18	58.11362	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"excellent"	9.582883	0.6931472	18	59.11362	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"excellent"	9.582883	0.6931472	18	60.11362	"male"	FALSE	FALSE
2	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	8.976113	1.386294	13	12.70637	"male"	TRUE	FALSE
3	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	8.976113	1.386294	13	13.70637	"male"	TRUE	FALSE
0	0	FALSE	6.094202	0	FALSE	9.967326	"excellent"	8.976113	1.386294	13	14.70637	"male"	TRUE	FALSE
4	0	FALSE	6.094202	0	FALSE	9.967326	"good"	8.976113	1.386294	13	4.569473	"male"	TRUE	FALSE
1	0	FALSE	6.094202	0	FALSE	9.967326	"good"	8.976113	1.386294	13	5.569473	"male"	TRUE	FALSE
3	0	FALSE	6.094202	0	FALSE	9.967326	"good"	8.976113	1.386294	13	6.569473	"male"	TRUE	FALSE
7	0	FALSE	6.094202	0	FALSE	10.3	"good"	8.976113	1.386294	17	31.98631	"male"	FALSE	FALSE
18	0	FALSE	6.094202	0	FALSE	10.3	"good"	8.976113	1.386294	17	32.98631	"male"	FALSE	FALSE
9	0	FALSE	6.094202	0	FALSE	10.3	"good"	8.976113	1.386294	17	33.98631	"male"	FALSE	FALSE
7	0	FALSE	6.094202	0	FALSE	20.7	"good"	8.976113	1.386294	13	30.9514	"female"	FALSE	FALSE
34	0	FALSE	6.094202	0	FALSE	20.7	"good"	8.976113	1.386294	13	31.9514	"female"	FALSE	FALSE
16	0	FALSE	6.094202	0	FALSE	20.7	"good"	8.976113	1.386294	13	32.9514	"female"	FALSE	FALSE
0	3.258096	FALSE	6.2105	7.596794	FALSE	13.8	"excellent"	8.781739	1.386294	14	29.30595	"female"	FALSE	TRUE
2	3.258096	FALSE	6.2105	7.596794	FALSE	13.8	"excellent"	8.781739	1.386294	14	30.30595	"female"	FALSE	TRUE
2	3.258096	FALSE	6.2105	7.596794	FALSE	13.8	"excellent"	8.781739	1.386294	14	31.30595	"female"	FALSE	TRUE
4	3.258096	FALSE	6.2105	7.596794	FALSE	9.967326	"excellent"	8.781739	1.386294	14	4.156057	"female"	TRUE	TRUE
2	3.258096	FALSE	6.2105	7.596794	FALSE	9.967326	"excellent"	8.781739	1.386294	14	5.156057	"female"	TRUE	TRUE
1	3.258096	FALSE	6.2105	7.596794	FALSE	9.967326	"excellent"	8.781739	1.386294	14	6.156057	"female"	TRUE	TRUE
11	3.258096	FALSE	6.2105	7.596794	FALSE	3.4	"excellent"	8.781739	1.386294	16	30.00685	"male"	FALSE	FALSE
3	3.258096	FALSE	6.2105	7.596794	FALSE	3.4	"excellent"	8.781739	1.386294	16	31.00685	"male"	FALSE	FALSE
0	3.258096	FALSE	6.2105	7.596794	FALSE	3.4	"excellent"	8.781739	1.386294	16	32.00684	"male"	FALSE	FALSE
4	3.258096	FALSE	6.2105	7.596794	FALSE	9.967326	"excellent"	8.781739	1.386294	14	1.185489	"female"	TRUE	TRUE
2	3.258096	FALSE	6.2105	7.596794	FALSE	9.967326	"excellent"	8.781739	1.386294	14	2.185489	"female"	TRUE	TRUE
2	3.258096	FALSE	6.2105	7.596794	FALSE	9.967326	"excellent"	8.781739	1.386294	14	3.185489	"female"	TRUE	TRUE
0	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.609438	12	13.0486	"female"	TRUE	FALSE
0	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.609438	12	14.0486	"female"	TRUE	FALSE
2	4.564348	FALSE	5.398163	5.449456	FALSE	3.4	"excellent"	8.097261	1.609438	12	15.98357	"female"	TRUE	FALSE
2	4.564348	FALSE	5.398163	5.449456	FALSE	3.4	"excellent"	8.097261	1.609438	12	16.98357	"female"	TRUE	FALSE
0	4.564348	FALSE	5.398163	5.449456	FALSE	3.4	"excellent"	8.097261	1.386294	12	17.98357	"female"	TRUE	FALSE
1	4.564348	FALSE	5.398163	5.449456	TRUE	24.1	"good"	8.097261	1.609438	12	34.63929	"female"	FALSE	FALSE
1	4.564348	FALSE	5.398163	5.449456	TRUE	24.1	"good"	8.097261	1.609438	12	35.63929	"female"	FALSE	FALSE
0	4.564348	FALSE	5.398163	5.449456	TRUE	24.1	"good"	8.097261	1.386294	12	36.63929	"female"	FALSE	FALSE
1	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.609438	12	8.353183	"male"	TRUE	FALSE
0	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.609438	12	9.353183	"male"	TRUE	FALSE
0	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.386294	12	10.35318	"male"	TRUE	FALSE
2	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.609438	12	10.40931	"female"	TRUE	FALSE
0	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.609438	12	11.40931	"female"	TRUE	FALSE
2	4.564348	FALSE	5.398163	5.449456	FALSE	9.967326	"excellent"	8.097261	1.386294	12	12.40931	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	8.571715	1.098612	16	50.99795	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	8.571715	1.098612	16	51.99795	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	8.571715	1.098612	16	52.99795	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.571715	1.098612	16	11.27995	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.571715	1.098612	16	12.27995	"female"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.571715	1.098612	16	13.27995	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.571715	1.098612	16	15.18412	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.571715	1.098612	16	16.18412	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.571715	1.098612	16	17.18412	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.528775	0.6931472	12	5.451061	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.528775	0.6931472	12	6.451061	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.528775	0.6931472	12	7.451061	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.528775	0.6931472	12	8.451061	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.528775	0.6931472	12	9.451061	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	7.528775	0.6931472	12	25.36893	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.528775	0.6931472	12	26.36893	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	7.528775	0.6931472	12	27.36893	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	7.528775	0.6931472	12	28.36893	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.528775	0.6931472	12	29.36893	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"excellent"	9.129678	1.609438	15	35.74538	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"excellent"	9.129678	1.609438	15	36.74538	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"excellent"	9.129678	1.609438	15	37.74538	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	0.733744	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	1.733744	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	2.733744	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	8.142368	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	9.142368	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	10.14237	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	9.560575	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	10.56057	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.129678	1.609438	15	11.56057	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.129678	1.609438	16	35.36482	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.129678	1.609438	16	36.36482	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.129678	1.609438	16	37.36482	"male"	FALSE	FALSE
0	4.564348	TRUE	6.823765	5.755076	FALSE	13.8	"excellent"	9.458012	0.6931472	16	57.39357	"female"	FALSE	FALSE
1	4.564348	TRUE	6.823765	5.755076	FALSE	13.8	"excellent"	9.458012	0.6931472	16	58.39357	"female"	FALSE	FALSE
7	4.564348	TRUE	6.823765	5.755076	FALSE	13.8	"excellent"	9.458012	0.6931472	16	59.39357	"female"	FALSE	FALSE
0	4.564348	TRUE	6.823765	5.755076	FALSE	3.4	"excellent"	9.458012	0.6931472	16	58.65298	"male"	FALSE	FALSE
0	4.564348	TRUE	6.823765	5.755076	FALSE	3.4	"excellent"	9.458012	0.6931472	16	59.65298	"male"	FALSE	FALSE
0	4.564348	TRUE	6.823765	5.755076	FALSE	3.4	"excellent"	9.458012	0.6931472	16	60.65298	"male"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.536214	1.386294	18	2.652977	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.536214	1.386294	18	3.652977	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.536214	1.386294	18	4.652977	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"excellent"	8.536214	1.386294	16	32.04654	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"excellent"	8.536214	1.386294	16	33.04654	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"excellent"	8.536214	1.386294	16	34.04654	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.536214	1.386294	18	32.22177	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.536214	1.386294	18	33.22177	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.536214	1.386294	18	34.22177	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.536214	1.386294	18	5.256673	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.536214	1.386294	18	6.256673	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.536214	1.386294	18	7.256673	"male"	TRUE	FALSE
2	3.931826	FALSE	6.639876	7.333023	FALSE	13.8	"good"	7.990346	0	16	33.10883	"female"	FALSE	FALSE
3	3.931826	FALSE	6.639876	7.333023	FALSE	13.8	"good"	7.990346	0	16	34.10883	"female"	FALSE	FALSE
1	3.931826	FALSE	6.639876	7.333023	FALSE	13.8	"good"	7.990346	0	16	35.10883	"female"	FALSE	FALSE
1	4.564348	FALSE	6.533062	6.584355	TRUE	17.2	"excellent"	8.934955	0.6931472	14	52.86242	"female"	FALSE	FALSE
1	4.564348	FALSE	6.533062	6.584355	TRUE	17.2	"excellent"	8.934955	0.6931472	14	53.86242	"female"	FALSE	FALSE
8	4.564348	FALSE	6.533062	6.584355	TRUE	17.2	"excellent"	8.934955	0.6931472	14	54.86242	"female"	FALSE	FALSE
10	4.564348	FALSE	6.533062	6.584355	TRUE	17.2	"excellent"	8.934955	0.6931472	14	55.86242	"female"	FALSE	FALSE
3	4.564348	FALSE	6.533062	6.584355	TRUE	17.2	"excellent"	8.934955	0.6931472	14	56.86242	"female"	FALSE	FALSE
3	4.564348	FALSE	6.533062	6.584355	TRUE	20.7	"good"	8.934955	0.6931472	16	51.59206	"male"	FALSE	FALSE
1	4.564348	FALSE	6.533062	6.584355	TRUE	20.7	"good"	8.934955	0.6931472	16	52.59206	"male"	FALSE	FALSE
1	4.564348	FALSE	6.533062	6.584355	TRUE	20.7	"good"	8.934955	0.6931472	16	53.59206	"male"	FALSE	FALSE
3	4.564348	FALSE	6.533062	6.584355	TRUE	20.7	"good"	8.934955	0.6931472	16	54.59206	"male"	FALSE	FALSE
1	4.564348	FALSE	6.533062	6.584355	TRUE	20.7	"good"	8.934955	0.6931472	16	55.59206	"male"	FALSE	FALSE
4	0	FALSE	6.094202	0	FALSE	6.9	"excellent"	9.30243	1.098612	17	48.84052	"male"	FALSE	FALSE
0	0	FALSE	6.094202	0	FALSE	6.9	"excellent"	9.30243	1.098612	17	49.84052	"male"	FALSE	FALSE
0	0	FALSE	6.094202	0	FALSE	6.9	"excellent"	9.30243	1.098612	17	50.84052	"male"	FALSE	FALSE
2	0	FALSE	6.094202	0	FALSE	27.6	"excellent"	9.30243	1.098612	16	50.19849	"female"	FALSE	FALSE
3	0	FALSE	6.094202	0	FALSE	27.6	"excellent"	9.30243	1.098612	16	51.19849	"female"	FALSE	FALSE
13	0	FALSE	6.094202	0	FALSE	27.6	"excellent"	9.30243	1.098612	16	52.19849	"female"	FALSE	FALSE
0	0	FALSE	6.094202	0	FALSE	6.9	"excellent"	9.30243	1.098612	16	16.29569	"male"	TRUE	FALSE
0	0	FALSE	6.094202	0	FALSE	6.9	"excellent"	9.30243	1.098612	16	17.29569	"male"	TRUE	FALSE
1	0	FALSE	6.094202	0	FALSE	6.9	"excellent"	9.30243	1.098612	16	18.29569	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.367805	1.609438	12	35.89322	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.367805	1.609438	12	36.89322	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.367805	1.609438	12	37.89322	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	10.65571	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	11.65571	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	12.65571	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	9.357974	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	10.35797	"female"	TRUE	FALSE
28	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	11.35797	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.367805	1.609438	12	30.73785	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.367805	1.609438	12	31.73785	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.367805	1.609438	12	32.73785	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	3.77002	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	4.77002	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.367805	1.609438	12	5.77002	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.451304	1.386294	12	37.37714	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.451304	1.386294	12	38.37714	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.451304	1.386294	12	39.37714	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.451304	1.386294	12	40.37714	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.451304	1.386294	12	41.37714	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.451304	1.386294	13	35.9425	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.451304	1.386294	13	36.9425	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.451304	1.386294	13	37.9425	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.451304	1.386294	13	38.9425	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.451304	1.386294	13	39.9425	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.451304	1.386294	13	15.90144	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.451304	1.386294	13	16.90144	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.451304	1.386294	13	17.90144	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.451304	1.386294	13	18.90144	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.451304	1.386294	13	19.90144	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.451304	1.386294	13	12.62697	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.451304	1.386294	13	13.62697	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.451304	1.386294	13	14.62697	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.451304	1.386294	13	15.62697	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.451304	1.386294	13	16.62697	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	7.204794	0	12	24.56947	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	7.204794	0	12	25.56947	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	10.3	"good"	7.204794	0	12	26.56947	"male"	FALSE	FALSE
6	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	9.726467	0.6931472	12	34.62286	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	9.726467	0.6931472	12	35.62286	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	9.726467	0.6931472	12	36.62286	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.726467	0.6931472	13	37.51951	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.726467	0.6931472	13	38.51951	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.726467	0.6931472	13	39.51951	"male"	FALSE	FALSE
4	0	FALSE	4.836282	0	TRUE	17.2	"good"	9.035337	0	14	60.94182	"female"	FALSE	FALSE
7	0	FALSE	4.836282	0	TRUE	17.2	"good"	9.035337	0	14	61.94182	"female"	FALSE	FALSE
6	0	FALSE	4.836282	0	TRUE	17.2	"good"	9.035337	0	14	62.94182	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	6.858316	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	7.858316	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	8.858316	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	9.858316	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	10.85832	"male"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	6.9	"good"	8.990542	1.609438	16	15.17865	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	6.9	"good"	8.990542	1.609438	16	16.17864	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	6.9	"good"	8.990542	1.609438	16	17.17864	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"good"	8.990542	1.609438	16	18.17864	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	8.990542	1.609438	16	19.17864	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.990542	1.609438	16	39.42779	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.990542	1.609438	16	40.42779	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	8.990542	1.609438	16	41.42779	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.990542	1.609438	16	42.42779	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.990542	1.609438	16	43.42779	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	8.990542	1.609438	15	41.12799	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	8.990542	1.609438	15	42.12799	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"good"	8.990542	1.609438	15	43.12799	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.990542	1.609438	15	44.12799	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"good"	8.990542	1.609438	15	45.12799	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	13.70842	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	14.70842	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	15.70842	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	16.70842	"female"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	9.967326	"good"	8.990542	1.609438	16	17.70842	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.14988	1.386294	13	1.629021	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.14988	1.386294	13	2.629021	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.14988	1.386294	13	3.629021	"female"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.14988	1.386294	13	7.526352	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.14988	1.386294	13	8.526352	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.14988	1.386294	13	9.526352	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.14988	1.386294	12	27.52088	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.14988	1.386294	12	28.52088	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.14988	1.386294	12	29.52088	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.14988	1.386294	13	27.4935	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.14988	1.386294	13	28.4935	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.14988	1.386294	13	29.4935	"female"	FALSE	FALSE
0	0	FALSE	4.836282	0	TRUE	10.3	"excellent"	9.361069	0.6931472	16	30.59548	"male"	FALSE	FALSE
0	0	FALSE	4.836282	0	TRUE	10.3	"excellent"	9.361069	0.6931472	16	31.59548	"male"	FALSE	FALSE
0	0	FALSE	4.836282	0	TRUE	10.3	"excellent"	9.361069	0.6931472	16	32.59548	"male"	FALSE	FALSE
2	0	FALSE	4.836282	0	TRUE	10.3	"excellent"	9.361069	0.6931472	16	33.59548	"male"	FALSE	FALSE
4	0	FALSE	4.836282	0	TRUE	10.3	"excellent"	9.361069	0.6931472	16	34.59548	"male"	FALSE	FALSE
1	0	FALSE	4.836282	0	FALSE	13.8	"excellent"	9.361069	0.6931472	14	28.14784	"female"	FALSE	FALSE
0	0	FALSE	4.836282	0	FALSE	13.8	"excellent"	9.361069	0.6931472	14	29.14784	"female"	FALSE	FALSE
1	0	FALSE	4.836282	0	FALSE	13.8	"excellent"	9.361069	0.6931472	14	30.14784	"female"	FALSE	FALSE
1	0	FALSE	4.836282	0	FALSE	13.8	"excellent"	9.361069	0.6931472	14	31.14784	"female"	FALSE	FALSE
1	0	FALSE	4.836282	0	FALSE	13.8	"excellent"	9.361069	0.6931472	14	32.14784	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	13.8	"good"	8.337337	0	9	54.42574	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	13.8	"good"	8.337337	0	9	55.42574	"female"	FALSE	FALSE
17	0	FALSE	0	0	FALSE	13.8	"good"	8.337337	0	9	56.42574	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	9.641807	1.386294	19	48.13689	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	9.641807	1.386294	19	49.13689	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	9.641807	1.386294	19	50.13689	"male"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.641807	1.386294	16	42.55168	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.641807	1.386294	16	43.55168	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.641807	1.386294	16	44.55168	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.641807	1.386294	16	7.00616	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.641807	1.386294	16	8.00616	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.641807	1.386294	16	9.00616	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	9.641807	1.386294	16	16.81862	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	9.641807	1.386294	16	17.81862	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	9.641807	1.386294	16	18.81862	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.319925	0	14	23.03901	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	7.319925	0	14	24.03901	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.319925	0	14	25.03901	"female"	FALSE	FALSE
1	4.564348	TRUE	6.472594	5.755076	FALSE	10.3	"excellent"	9.426052	0.6931472	18	28.69541	"male"	FALSE	FALSE
0	4.564348	TRUE	6.472594	5.755076	FALSE	10.3	"excellent"	9.426052	0.6931472	18	29.69541	"male"	FALSE	FALSE
2	4.564348	TRUE	6.472594	5.755076	FALSE	10.3	"excellent"	9.426052	0.6931472	18	30.69541	"male"	FALSE	FALSE
4	4.564348	TRUE	6.472594	5.755076	FALSE	0	"excellent"	9.426052	0.6931472	16	25.08693	"female"	FALSE	FALSE
4	4.564348	TRUE	6.472594	5.755076	FALSE	0	"excellent"	9.426052	0.6931472	16	26.08693	"female"	FALSE	FALSE
2	4.564348	TRUE	6.472594	5.755076	FALSE	0	"excellent"	9.426052	0.6931472	16	27.08693	"female"	FALSE	FALSE
1	4.564348	TRUE	5.075674	5.061929	FALSE	6.9	"excellent"	9.081487	0	16	27.03901	"female"	FALSE	FALSE
7	4.564348	TRUE	5.075674	5.061929	FALSE	6.9	"excellent"	9.081487	0	16	28.03901	"female"	FALSE	FALSE
6	4.564348	TRUE	5.075674	5.061929	FALSE	6.9	"excellent"	9.081487	0	16	29.03901	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.785593	0.6931472	12	22.34634	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.785593	1.386294	12	23.34634	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	7.785593	1.386294	12	24.34634	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	6.9	"fair"	7.785593	0.6931472	12	24.39425	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	6.9	"fair"	7.785593	1.386294	12	25.39425	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	6.9	"fair"	7.785593	1.386294	12	26.39425	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	2.655715	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	3.655715	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	4.655715	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	5.655715	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	6.655715	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"excellent"	8.976113	1.386294	11	29.06502	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"excellent"	8.976113	1.386294	11	30.06502	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"excellent"	8.976113	1.386294	11	31.06502	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"excellent"	8.976113	1.386294	11	32.06503	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"excellent"	8.976113	1.386294	11	33.06503	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.976113	1.386294	12	28.03833	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.976113	1.386294	12	29.03833	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.976113	1.386294	12	30.03833	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.976113	1.386294	12	31.03833	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.976113	1.386294	12	32.03833	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	8.928131	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	9.928131	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	10.92813	"male"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	11.92813	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	12.92813	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	24.1	"good"	8.976113	0	12	29.61533	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	24.1	"good"	8.976113	0	12	30.61533	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	24.1	"good"	8.976113	0	12	31.61533	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.900295	1.098612	12	15.52361	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	8.900295	1.098612	12	16.52361	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.900295	1.098612	12	17.52361	"male"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.900295	1.098612	12	12.92539	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.900295	1.098612	12	13.92539	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.900295	1.098612	12	14.92539	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	8.900295	1.098612	12	38.45859	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.900295	1.098612	12	39.45859	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.900295	1.098612	12	40.45859	"female"	FALSE	FALSE
4	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	45.42368	"female"	FALSE	FALSE
3	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	46.42368	"female"	FALSE	FALSE
6	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	47.42368	"female"	FALSE	FALSE
6	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	48.42368	"female"	FALSE	FALSE
5	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	49.42368	"female"	FALSE	FALSE
2	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	50.39562	"male"	FALSE	FALSE
0	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	51.39562	"male"	FALSE	FALSE
5	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	52.39562	"male"	FALSE	FALSE
3	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	53.39562	"male"	FALSE	FALSE
7	0	FALSE	5.676206	0	FALSE	3.4	"excellent"	9.091973	0.6931472	12	54.39562	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	13.60164	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	14.60164	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	15.60164	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	8	40.47912	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	8	41.47912	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	8	42.47912	"male"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.368857	2.079442	12	31.62491	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.368857	2.079442	12	32.62492	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.368857	2.079442	12	33.62492	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	10.30801	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	11.30801	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	12.30801	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	12	14.6475	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	12	15.6475	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	12	16.6475	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	8.588638	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	9.588638	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	10.58864	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	12	16.46817	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	12	17.46817	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.368857	2.079442	12	18.46817	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	4.202601	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	5.202601	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.368857	2.079442	12	6.202601	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.095598	1.386294	17	12.2245	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.095598	1.386294	17	13.2245	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.095598	1.386294	17	14.2245	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.095598	1.386294	17	6.893909	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.095598	1.386294	17	7.893909	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.095598	1.386294	17	8.893909	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.095598	1.386294	11	51.02259	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.095598	1.386294	11	52.02259	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	3.4	"good"	9.095598	1.386294	11	53.02259	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.095598	1.386294	17	39.0308	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.095598	1.386294	17	40.0308	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.095598	1.386294	17	41.0308	"female"	FALSE	FALSE
4	4.564348	TRUE	5.998539	5.755076	FALSE	3.4	"good"	9.011654	0.6931472	12	27.84394	"male"	FALSE	FALSE
0	4.564348	TRUE	5.998539	5.755076	FALSE	3.4	"good"	9.011654	0.6931472	12	28.84394	"male"	FALSE	FALSE
1	4.564348	TRUE	5.998539	5.755076	FALSE	3.4	"good"	9.011654	0.6931472	12	29.84394	"male"	FALSE	FALSE
1	4.564348	TRUE	5.998539	5.755076	FALSE	10.3	"excellent"	9.011654	0.6931472	12	27.28816	"female"	FALSE	FALSE
1	4.564348	TRUE	5.998539	5.755076	FALSE	10.3	"excellent"	9.011654	0.6931472	12	28.28816	"female"	FALSE	FALSE
0	4.564348	TRUE	5.998539	5.755076	FALSE	10.3	"excellent"	9.011654	0.6931472	12	29.28816	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.294212	1.386294	12	9.467488	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.294212	1.386294	12	10.46749	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.294212	1.386294	12	11.46749	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	9.294212	1.386294	12	33.9165	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	9.294212	1.386294	12	34.9165	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	9.294212	1.386294	12	35.9165	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.294212	1.386294	16	33.21287	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.294212	1.386294	16	34.21287	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	9.294212	1.386294	16	35.21287	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.294212	1.386294	12	6.702259	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.294212	1.386294	12	7.702259	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.294212	1.386294	12	8.702259	"female"	TRUE	FALSE
1	4.564348	TRUE	5.676206	5.061929	FALSE	10.3	"excellent"	9.691089	0	21	34.19028	"male"	FALSE	FALSE
3	4.564348	TRUE	5.676206	5.061929	FALSE	10.3	"excellent"	9.691089	0	21	35.19028	"male"	FALSE	FALSE
6	4.564348	TRUE	5.676206	5.061929	FALSE	10.3	"excellent"	9.691089	0	21	36.19028	"male"	FALSE	FALSE
3	4.564348	FALSE	0	5.061929	FALSE	0	"excellent"	8.118282	0	14	26.39288	"male"	FALSE	FALSE
1	4.564348	FALSE	0	5.061929	FALSE	0	"excellent"	8.118282	0	14	27.39288	"male"	FALSE	FALSE
0	4.564348	FALSE	0	5.061929	FALSE	0	"excellent"	8.118282	0	14	28.39288	"male"	FALSE	FALSE
2	4.564348	FALSE	5.347107	5.398401	FALSE	6.9	"excellent"	7.33687	0	12	26.23135	"female"	FALSE	FALSE
2	4.564348	FALSE	5.347107	5.398401	FALSE	6.9	"excellent"	7.33687	0	12	27.23135	"female"	FALSE	FALSE
7	4.564348	FALSE	5.347107	5.398401	FALSE	6.9	"excellent"	7.33687	0	12	28.23135	"female"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	6.9	"excellent"	9.357379	1.609438	16	33.6345	"male"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	6.9	"excellent"	9.357379	1.609438	16	34.6345	"male"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	6.9	"excellent"	9.357379	1.609438	16	35.6345	"male"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	6.9	"excellent"	9.357379	1.609438	16	36.6345	"male"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	6.9	"excellent"	9.357379	1.609438	16	37.6345	"male"	FALSE	FALSE
3	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	5.456537	"male"	TRUE	FALSE
2	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	6.456537	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	7.456537	"male"	TRUE	FALSE
1	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	8.456536	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	9.456536	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	8.944558	"male"	TRUE	FALSE
2	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	9.944558	"male"	TRUE	FALSE
1	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	10.94456	"male"	TRUE	FALSE
3	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	11.94456	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	12.94456	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	10.3	"good"	9.357379	1.609438	13	32.27926	"female"	FALSE	FALSE
7	4.564348	FALSE	6.882438	6.959049	FALSE	10.3	"good"	9.357379	1.609438	13	33.27926	"female"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	10.3	"good"	9.357379	1.609438	13	34.27926	"female"	FALSE	FALSE
2	4.564348	FALSE	6.882438	6.959049	FALSE	10.3	"good"	9.357379	1.609438	13	35.27926	"female"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	10.3	"good"	9.357379	1.609438	13	36.27926	"female"	FALSE	FALSE
1	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	6.989733	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	7.989733	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	8.989733	"male"	TRUE	FALSE
1	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	9.989733	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"excellent"	9.357379	1.609438	13	10.98973	"male"	TRUE	FALSE
3	0	FALSE	5.918894	0	FALSE	13.8	"excellent"	9.306487	1.098612	12	29.15264	"female"	FALSE	FALSE
0	0	FALSE	5.918894	0	FALSE	13.8	"excellent"	9.306487	1.098612	12	30.15264	"female"	FALSE	FALSE
0	0	FALSE	5.918894	0	FALSE	13.8	"excellent"	9.306487	1.098612	12	31.15264	"female"	FALSE	FALSE
16	0	FALSE	5.918894	0	FALSE	9.967326	"excellent"	9.306487	1.098612	12	5.568789	"female"	TRUE	FALSE
40	0	FALSE	5.918894	0	FALSE	9.967326	"excellent"	9.306487	1.098612	12	6.568789	"female"	TRUE	FALSE
19	0	FALSE	5.918894	0	FALSE	9.967326	"excellent"	9.306487	1.098612	12	7.568789	"female"	TRUE	FALSE
7	0	FALSE	5.918894	0	FALSE	17.2	"poor"	9.306487	1.098612	12	35.08829	"male"	FALSE	FALSE
5	0	FALSE	5.918894	0	FALSE	17.2	"poor"	9.306487	1.098612	12	36.08829	"male"	FALSE	FALSE
0	0	FALSE	5.918894	0	FALSE	17.2	"poor"	9.306487	1.098612	12	37.08829	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.419793	0.6931472	17	27.90417	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.419793	0.6931472	17	28.90417	"male"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.419793	0.6931472	17	29.90417	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.419793	0.6931472	17	27.36756	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.419793	0.6931472	17	28.36756	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.419793	0.6931472	17	29.36756	"female"	FALSE	FALSE
3	0	FALSE	5.824229	0	TRUE	6.9	"excellent"	8.782999	1.386294	20	38.25325	"female"	FALSE	FALSE
1	0	FALSE	5.824229	0	TRUE	6.9	"excellent"	8.782999	1.386294	20	39.25325	"female"	FALSE	FALSE
2	0	FALSE	5.824229	0	TRUE	6.9	"excellent"	8.782999	1.386294	20	40.25325	"female"	FALSE	FALSE
1	0	FALSE	5.824229	0	FALSE	9.967326	"excellent"	8.782999	1.386294	20	1.815195	"female"	TRUE	FALSE
1	0	FALSE	5.824229	0	FALSE	9.967326	"excellent"	8.782999	1.386294	20	2.815195	"female"	TRUE	FALSE
2	0	FALSE	5.824229	0	FALSE	9.967326	"excellent"	8.782999	1.386294	20	3.815195	"female"	TRUE	FALSE
3	0	FALSE	5.824229	0	FALSE	3.4	"excellent"	8.782999	1.386294	16	31.46886	"male"	FALSE	FALSE
1	0	FALSE	5.824229	0	FALSE	3.4	"excellent"	8.782999	1.386294	16	32.46886	"male"	FALSE	FALSE
0	0	FALSE	5.824229	0	FALSE	3.4	"excellent"	8.782999	1.386294	16	33.46886	"male"	FALSE	FALSE
2	0	FALSE	5.824229	0	FALSE	9.967326	"excellent"	8.782999	1.386294	20	3.154004	"male"	TRUE	FALSE
1	0	FALSE	5.824229	0	FALSE	9.967326	"excellent"	8.782999	1.386294	20	4.154004	"male"	TRUE	FALSE
3	0	FALSE	5.824229	0	FALSE	9.967326	"excellent"	8.782999	1.386294	20	5.154004	"male"	TRUE	FALSE
1	0	FALSE	5.532757	0	FALSE	10.3	"good"	8.771422	0	12	26.98973	"male"	FALSE	FALSE
2	0	FALSE	5.532757	0	FALSE	10.3	"good"	8.771422	0	12	27.98973	"male"	FALSE	FALSE
1	0	FALSE	5.532757	0	FALSE	10.3	"good"	8.771422	0	12	28.98973	"male"	FALSE	FALSE
2	0	FALSE	5.532757	0	FALSE	10.3	"good"	8.771422	0	12	29.98973	"male"	FALSE	FALSE
3	0	FALSE	5.532757	0	FALSE	10.3	"good"	8.771422	0	12	30.98973	"male"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.751856	0	12	59.65229	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.751856	0	12	60.65229	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.751856	0	12	61.65229	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.351947	1.94591	12	17.66735	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.351947	1.94591	12	18.66735	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"good"	9.351947	1.94591	12	19.66735	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	7.564682	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	8.564682	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	9.564682	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.351947	1.94591	8	39.79192	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.351947	1.94591	8	40.79192	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.351947	1.94591	8	41.79192	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	9.351947	1.94591	12	16.24641	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	9.351947	1.94591	12	17.24641	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	9.351947	1.94591	12	18.24641	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	9.672827	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	10.67283	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	11.67283	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	13.26762	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	14.26762	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	9.351947	1.94591	12	15.26762	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.351947	1.94591	12	41.15811	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	9.351947	1.94591	12	42.15811	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.351947	1.94591	12	43.15811	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.175469	0.6931472	11	55.63313	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.175469	0.6931472	11	56.63313	"female"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.175469	0	11	57.63313	"female"	FALSE	FALSE
12	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	9.175469	0.6931472	12	53.10336	"male"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	9.175469	0.6931472	12	54.10336	"male"	FALSE	FALSE
0	4.564348	FALSE	6.427944	6.479237	FALSE	6.9	"excellent"	8.976113	1.609438	13	34.16564	"male"	FALSE	FALSE
2	4.564348	FALSE	6.427944	6.479237	FALSE	9.967326	"excellent"	8.976113	1.609438	12	7.603012	"female"	TRUE	FALSE
1	4.564348	FALSE	6.427944	6.479237	FALSE	9.967326	"excellent"	8.976113	1.609438	12	9.987679	"male"	TRUE	FALSE
2	4.564348	FALSE	6.427944	6.479237	FALSE	9.967326	"excellent"	8.976113	1.609438	12	12.44353	"female"	TRUE	FALSE
0	4.564348	FALSE	6.427944	6.479237	FALSE	13.8	"excellent"	8.976113	1.609438	12	33.33333	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	9.357076	1.791759	14	38.5243	"male"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	9.357076	1.791759	14	39.5243	"male"	FALSE	FALSE
16	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	9.357076	1.791759	14	40.5243	"male"	FALSE	FALSE
16	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	9.357076	1.791759	14	41.5243	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	9.357076	1.791759	14	42.5243	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.357076	1.791759	12	8.224504	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.357076	1.791759	12	9.224504	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.357076	1.791759	12	10.2245	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.357076	1.791759	12	11.2245	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.357076	1.791759	12	12.2245	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"fair"	9.357076	1.791759	12	33.50582	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"fair"	9.357076	1.791759	12	34.50582	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"fair"	9.357076	1.791759	12	35.50582	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"fair"	9.357076	1.791759	12	36.50582	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"fair"	9.357076	1.791759	12	37.50582	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	12.80219	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	13.80219	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	14.80219	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	15.80219	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	16.80219	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.357076	1.791759	12	10.05065	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.357076	1.791759	12	11.05065	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.357076	1.791759	12	12.05065	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.357076	1.791759	12	13.05065	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.357076	1.791759	12	14.05065	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	5.859001	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	6.859001	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	7.859001	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	8.859001	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.357076	1.791759	12	9.859001	"female"	TRUE	FALSE
18	4.564348	TRUE	0	5.755076	TRUE	41.4	"fair"	8.259927	0.6931472	13	47.27173	"female"	FALSE	FALSE
11	4.564348	TRUE	0	5.755076	TRUE	41.4	"fair"	8.259927	0.6931472	13	48.27173	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	TRUE	41.4	"fair"	8.259927	0.6931472	13	49.27173	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.755076	TRUE	41.4	"fair"	8.259927	0.6931472	13	50.27173	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	13.8	"excellent"	8.259927	0.6931472	13	49.76044	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	13.8	"excellent"	8.259927	0.6931472	13	50.76044	"male"	FALSE	FALSE
6	4.564348	TRUE	0	5.755076	FALSE	13.8	"excellent"	8.259927	0.6931472	13	51.76044	"male"	FALSE	FALSE
4	4.564348	TRUE	0	5.755076	FALSE	13.8	"excellent"	8.259927	0.6931472	13	52.76044	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	FALSE	13.8	"excellent"	8.259927	0	13	53.76044	"male"	FALSE	FALSE
3	4.564348	TRUE	7.122189	5.755076	FALSE	17.2	"good"	9.328929	0.6931472	12	51.86858	"female"	FALSE	FALSE
2	4.564348	TRUE	7.122189	5.755076	FALSE	17.2	"good"	9.328929	0.6931472	12	52.86858	"female"	FALSE	FALSE
2	4.564348	TRUE	7.122189	5.755076	FALSE	17.2	"good"	9.328929	0.6931472	12	53.86858	"female"	FALSE	FALSE
2	4.564348	TRUE	7.122189	5.755076	FALSE	17.2	"good"	9.328929	0.6931472	12	59.85216	"male"	FALSE	FALSE
0	4.564348	TRUE	7.122189	5.755076	FALSE	17.2	"good"	9.328929	0.6931472	12	60.85216	"male"	FALSE	FALSE
0	4.564348	TRUE	7.122189	5.755076	FALSE	17.2	"good"	9.328929	0.6931472	12	61.85216	"male"	FALSE	FALSE
3	3.258096	FALSE	6.401469	7.787764	TRUE	9.967326	"good"	8.700853	0	10	60.19986	"female"	FALSE	FALSE
1	3.258096	FALSE	6.401469	7.787764	TRUE	9.967326	"good"	8.700853	0	10	61.19986	"female"	FALSE	FALSE
3	3.258096	FALSE	6.401469	7.787764	TRUE	9.967326	"good"	8.700853	0	10	62.19986	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.957864	1.098612	10	38.32991	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.957864	1.098612	10	39.32991	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.957864	1.098612	10	40.32991	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.957864	1.098612	10	14.40931	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.957864	1.098612	10	15.40931	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.957864	1.098612	10	16.40931	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.957864	1.098612	8	42.04517	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.957864	1.098612	8	43.04517	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.957864	1.098612	8	44.04517	"male"	FALSE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"good"	8.751856	0.6931472	12	56.0438	"male"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"good"	8.751856	0.6931472	12	57.0438	"male"	FALSE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"good"	8.751856	0.6931472	12	58.0438	"male"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	20.7	"good"	8.751856	0.6931472	12	55.9206	"female"	FALSE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	20.7	"good"	8.751856	0.6931472	12	56.9206	"female"	FALSE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	20.7	"good"	8.751856	0.6931472	12	57.9206	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.090322	1.386294	13	24.73648	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.090322	1.386294	13	25.73648	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.090322	1.386294	13	26.73648	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	9.090322	1.386294	13	31.15401	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.090322	1.386294	13	32.154	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.090322	1.386294	13	33.154	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	9.090322	1.386294	13	4.328542	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	9.090322	1.386294	13	5.328542	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	9.090322	1.386294	13	6.328542	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	9.090322	1.386294	13	1.226557	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	9.090322	1.386294	13	2.226557	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	9.090322	1.386294	13	3.226557	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.150448	1.098612	12	3.767283	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.150448	1.098612	12	4.767282	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.150448	1.098612	12	5.767282	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.150448	1.098612	14	22.8501	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.150448	1.098612	14	23.8501	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.150448	1.098612	14	24.8501	"male"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	8.150448	1.098612	12	22.23682	"female"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	8.150448	1.098612	12	23.23682	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	8.150448	1.098612	12	24.23682	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.248755	1.609438	14	8.290213	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.248755	1.609438	14	9.290213	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.248755	1.609438	14	10.29021	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.248755	1.609438	12	34.19849	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.248755	1.609438	12	35.19849	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.248755	1.609438	12	36.19849	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	9.248755	1.609438	14	5.801506	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	9.248755	1.609438	14	6.801506	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"fair"	9.248755	1.609438	14	7.801506	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.248755	1.609438	14	4.572211	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.248755	1.609438	14	5.572211	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.248755	1.609438	14	6.572211	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"poor"	9.248755	1.609438	14	28.81862	"female"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"poor"	9.248755	1.609438	14	29.81862	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"poor"	9.248755	1.609438	14	30.81862	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	8.514457	0	17	41.38535	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	8.514457	0	17	42.38535	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	8.514457	0	17	43.38535	"male"	FALSE	FALSE
2	0	FALSE	5.228324	0	FALSE	6.9	"good"	9.104243	1.791759	15	36.46544	"female"	FALSE	FALSE
1	0	FALSE	5.228324	0	FALSE	6.9	"good"	9.104243	1.791759	15	37.46544	"female"	FALSE	FALSE
5	0	FALSE	5.228324	0	FALSE	6.9	"good"	9.104243	1.791759	15	38.46544	"female"	FALSE	FALSE
3	0	FALSE	5.228324	0	FALSE	6.9	"good"	9.104243	1.791759	15	15.92882	"male"	TRUE	FALSE
3	0	FALSE	5.228324	0	FALSE	6.9	"good"	9.104243	1.791759	15	16.92882	"male"	TRUE	FALSE
3	0	FALSE	5.228324	0	FALSE	6.9	"good"	9.104243	1.791759	15	17.92882	"male"	TRUE	FALSE
1	0	FALSE	5.228324	0	FALSE	3.4	"excellent"	9.104243	1.791759	15	14.05065	"male"	TRUE	FALSE
2	0	FALSE	5.228324	0	FALSE	3.4	"excellent"	9.104243	1.791759	15	15.05065	"male"	TRUE	FALSE
1	0	FALSE	5.228324	0	FALSE	3.4	"excellent"	9.104243	1.791759	15	16.05065	"male"	TRUE	FALSE
2	0	FALSE	5.228324	0	FALSE	9.967326	"excellent"	9.104243	1.791759	15	10.75975	"male"	TRUE	FALSE
2	0	FALSE	5.228324	0	FALSE	9.967326	"excellent"	9.104243	1.791759	15	11.75975	"male"	TRUE	FALSE
2	0	FALSE	5.228324	0	FALSE	9.967326	"excellent"	9.104243	1.791759	15	12.75975	"male"	TRUE	FALSE
0	0	FALSE	5.228324	0	FALSE	3.4	"good"	9.104243	1.791759	16	40.282	"male"	FALSE	FALSE
2	0	FALSE	5.228324	0	FALSE	3.4	"good"	9.104243	1.791759	16	41.282	"male"	FALSE	FALSE
1	0	FALSE	5.228324	0	FALSE	3.4	"good"	9.104243	1.791759	16	42.282	"male"	FALSE	FALSE
0	0	FALSE	5.228324	0	FALSE	9.967326	"excellent"	9.104243	1.791759	15	6.269678	"male"	TRUE	FALSE
0	0	FALSE	5.228324	0	FALSE	9.967326	"excellent"	9.104243	1.791759	15	7.269678	"male"	TRUE	FALSE
2	0	FALSE	5.228324	0	FALSE	9.967326	"excellent"	9.104243	1.791759	15	8.269678	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"good"	9.262655	1.609438	12	31.29911	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"good"	9.262655	1.609438	12	32.29911	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"good"	9.262655	1.609438	12	33.29911	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.262655	1.609438	12	8.312115	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.262655	1.609438	12	9.312115	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.262655	1.609438	12	10.31211	"male"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.262655	1.609438	12	9.582478	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.262655	1.609438	12	10.58248	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.262655	1.609438	12	11.58248	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.262655	1.609438	12	11.2553	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.262655	1.609438	12	12.2553	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.262655	1.609438	12	13.2553	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.262655	1.609438	12	33.42368	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.262655	1.609438	12	34.42368	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.262655	1.609438	12	35.42368	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	10.02601	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	11.02601	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	12.02601	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"excellent"	9.359756	1.609438	14	33.61259	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"excellent"	9.359756	1.609438	14	34.61259	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"excellent"	9.359756	1.609438	14	35.61259	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.359756	1.609438	16	36	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.359756	1.609438	16	37	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.359756	1.609438	16	38	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	7.345654	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	8.345654	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	9.345654	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	4.602327	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	5.602327	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.359756	1.609438	14	6.602327	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.940654	1.386294	16	26.5681	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	8.940654	1.386294	16	27.5681	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.940654	1.386294	16	28.5681	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"good"	8.940654	1.386294	16	29.5681	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	8.940654	1.386294	16	30.5681	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.940654	1.386294	14	23.87953	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.940654	1.386294	14	24.87953	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.940654	1.386294	14	25.87953	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	8.940654	1.386294	14	26.87953	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	8.940654	1.386294	14	27.87953	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.940654	1.386294	14	2.934976	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.940654	1.386294	14	3.934976	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.940654	1.386294	14	4.934976	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.940654	1.386294	14	5.934976	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.940654	1.386294	14	6.934976	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"good"	8.940654	1.386294	14	0.7748117	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.940654	1.386294	14	1.774812	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.940654	1.386294	14	2.774812	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.940654	1.386294	14	3.774812	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	8.940654	1.386294	14	4.774812	"female"	TRUE	FALSE
0	3.258096	FALSE	5.010635	6.39693	FALSE	9.967326	"excellent"	7.917639	0.6931472	12	11.718	"male"	TRUE	FALSE
9	3.258096	FALSE	5.010635	6.39693	FALSE	9.967326	"excellent"	7.917639	0.6931472	12	12.718	"male"	TRUE	FALSE
1	3.258096	FALSE	5.010635	6.39693	FALSE	9.967326	"excellent"	7.917639	0.6931472	12	13.718	"male"	TRUE	FALSE
1	3.258096	FALSE	5.010635	6.39693	FALSE	10.3	"good"	7.917639	0.6931472	12	33.21561	"female"	FALSE	FALSE
2	3.258096	FALSE	5.010635	6.39693	FALSE	10.3	"good"	7.917639	0.6931472	12	34.21561	"female"	FALSE	FALSE
6	3.258096	FALSE	5.010635	6.39693	FALSE	10.3	"good"	7.917639	0.6931472	12	35.21561	"female"	FALSE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	8.577686	"male"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	9.577686	"male"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	10.57769	"male"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.791759	9	11.57769	"male"	TRUE	FALSE
5	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.609438	9	12.57769	"male"	TRUE	FALSE
7	3.258096	FALSE	5.68358	7.069874	TRUE	13.8	"good"	8.166234	1.94591	9	37.57974	"female"	FALSE	FALSE
2	3.258096	FALSE	5.68358	7.069874	TRUE	13.8	"good"	8.166234	1.94591	9	38.57974	"female"	FALSE	FALSE
0	3.258096	FALSE	5.68358	7.069874	TRUE	13.8	"good"	8.166234	1.94591	9	39.57974	"female"	FALSE	FALSE
12	3.258096	FALSE	5.68358	7.069874	TRUE	13.8	"good"	8.166234	1.791759	9	40.57974	"female"	FALSE	FALSE
11	3.258096	FALSE	5.68358	7.069874	TRUE	13.8	"good"	8.166234	1.609438	9	41.57974	"female"	FALSE	FALSE
2	3.258096	FALSE	5.68358	7.069874	FALSE	17.2	"excellent"	8.166234	1.94591	9	14.14647	"female"	TRUE	FALSE
9	3.258096	FALSE	5.68358	7.069874	FALSE	17.2	"excellent"	8.166234	1.94591	9	15.14647	"female"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	17.2	"excellent"	8.166234	1.94591	9	16.14647	"female"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	6.877481	"female"	TRUE	FALSE
0	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	7.877481	"female"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	8.877481	"female"	TRUE	FALSE
2	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.791759	9	9.877481	"female"	TRUE	FALSE
5	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.609438	9	10.87748	"female"	TRUE	FALSE
7	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	12.59959	"male"	TRUE	FALSE
4	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	13.59959	"male"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	14.59959	"male"	TRUE	FALSE
0	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.791759	9	15.59959	"male"	TRUE	FALSE
2	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	11.72622	"female"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	12.72622	"female"	TRUE	FALSE
0	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	13.72622	"female"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.791759	9	14.72622	"female"	TRUE	FALSE
3	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.609438	9	15.72622	"female"	TRUE	FALSE
0	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	9.752225	"female"	TRUE	FALSE
0	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	10.75222	"female"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.94591	9	11.75222	"female"	TRUE	FALSE
3	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.791759	9	12.75222	"female"	TRUE	FALSE
1	3.258096	FALSE	5.68358	7.069874	FALSE	9.967326	"excellent"	8.166234	1.609438	9	13.75222	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.24122	1.386294	12	36.72827	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.24122	1.386294	12	37.72827	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.24122	1.386294	12	38.72827	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	9.24122	1.386294	12	37.91376	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	9.24122	1.386294	12	38.91376	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	9.24122	1.386294	12	39.91376	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.24122	1.386294	12	12.83778	"female"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.24122	1.386294	12	13.83778	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.24122	1.386294	12	14.83778	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.24122	1.386294	12	10.90212	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.24122	1.386294	12	11.90212	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.24122	1.386294	12	12.90212	"male"	TRUE	FALSE
0	4.564348	TRUE	5.676206	5.755076	FALSE	9.967326	"excellent"	9.429591	1.098612	16	5.226557	"female"	TRUE	FALSE
2	4.564348	TRUE	5.676206	5.755076	FALSE	9.967326	"excellent"	9.429591	1.098612	16	6.226557	"female"	TRUE	FALSE
5	4.564348	TRUE	5.676206	5.755076	FALSE	9.967326	"excellent"	9.429591	1.098612	16	7.226557	"female"	TRUE	FALSE
6	4.564348	TRUE	5.676206	5.755076	FALSE	13.8	"excellent"	9.429591	1.098612	16	32.74743	"female"	FALSE	FALSE
5	4.564348	TRUE	5.676206	5.755076	FALSE	13.8	"excellent"	9.429591	1.098612	16	33.74743	"female"	FALSE	FALSE
0	4.564348	TRUE	5.676206	5.755076	FALSE	13.8	"excellent"	9.429591	1.098612	16	34.74743	"female"	FALSE	FALSE
6	4.564348	TRUE	5.676206	5.755076	FALSE	9.967326	"excellent"	9.429591	1.098612	16	1.809719	"male"	TRUE	FALSE
3	4.564348	TRUE	5.676206	5.755076	FALSE	9.967326	"excellent"	9.429591	1.098612	16	2.809719	"male"	TRUE	FALSE
1	4.564348	TRUE	5.676206	5.755076	FALSE	9.967326	"excellent"	9.429591	1.098612	16	3.809719	"male"	TRUE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.386294	10	1.24846	"male"	TRUE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.386294	10	2.24846	"male"	TRUE	FALSE
0	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.386294	10	3.24846	"male"	TRUE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.609438	10	4.24846	"male"	TRUE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.609438	10	5.24846	"male"	TRUE	FALSE
2	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.386294	10	3.000684	"female"	TRUE	FALSE
2	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.386294	10	4.000684	"female"	TRUE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.386294	10	5.000684	"female"	TRUE	FALSE
8	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.609438	10	6.000684	"female"	TRUE	FALSE
4	3.258096	FALSE	6.619806	8.006368	FALSE	9.967326	"good"	8.976113	1.609438	10	7.000684	"female"	TRUE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	10.3	"excellent"	8.976113	1.386294	10	32.37235	"male"	FALSE	FALSE
2	3.258096	FALSE	6.619806	8.006368	FALSE	10.3	"excellent"	8.976113	1.386294	10	33.37235	"male"	FALSE	FALSE
7	3.258096	FALSE	6.619806	8.006368	FALSE	10.3	"excellent"	8.976113	1.386294	10	34.37235	"male"	FALSE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	10.3	"excellent"	8.976113	1.609438	10	35.37235	"male"	FALSE	FALSE
2	3.258096	FALSE	6.619806	8.006368	FALSE	10.3	"excellent"	8.976113	1.609438	10	36.37235	"male"	FALSE	FALSE
1	3.258096	FALSE	6.619806	8.006368	FALSE	0	"excellent"	8.976113	1.386294	10	28.60233	"female"	FALSE	FALSE
3	3.258096	FALSE	6.619806	8.006368	FALSE	0	"excellent"	8.976113	1.386294	10	29.60233	"female"	FALSE	FALSE
3	3.258096	FALSE	6.619806	8.006368	FALSE	0	"excellent"	8.976113	1.386294	10	30.60233	"female"	FALSE	FALSE
0	3.258096	FALSE	6.619806	8.006368	FALSE	0	"excellent"	8.976113	1.609438	10	31.60233	"female"	FALSE	FALSE
2	3.258096	FALSE	6.619806	8.006368	FALSE	0	"excellent"	8.976113	1.609438	10	32.60233	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.447042	0.6931472	12	1.0705	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"good"	7.447042	0.6931472	12	2.0705	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.447042	0.6931472	12	3.0705	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	0	"good"	7.447042	0.6931472	12	21.78782	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"good"	7.447042	0.6931472	12	22.78782	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"good"	7.447042	0.6931472	12	23.78782	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.369158	1.386294	13	13.18823	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.369158	1.386294	13	14.18823	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.369158	1.386294	13	15.18823	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.369158	1.386294	13	11.62218	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.369158	1.386294	13	12.62218	"female"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.369158	1.386294	13	13.62218	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	0	"excellent"	9.369158	1.386294	13	35.64956	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	0	"excellent"	9.369158	1.386294	13	36.64956	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	0	"excellent"	9.369158	1.386294	13	37.64956	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.369158	1.386294	16	39.78918	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.369158	1.386294	16	40.78918	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.369158	1.386294	16	41.78918	"male"	FALSE	FALSE
6	0	FALSE	3.401197	0	FALSE	37.9	"good"	9.260705	1.791759	12	42.59274	"female"	FALSE	FALSE
3	0	FALSE	3.401197	0	FALSE	37.9	"good"	9.260705	1.791759	12	43.59274	"female"	FALSE	FALSE
0	0	FALSE	3.401197	0	FALSE	37.9	"good"	9.260705	1.386294	12	44.59274	"female"	FALSE	FALSE
3	0	FALSE	3.401197	0	FALSE	37.9	"good"	9.260705	1.609438	12	45.59274	"female"	FALSE	FALSE
5	0	FALSE	3.401197	0	FALSE	37.9	"good"	9.260705	1.609438	12	46.59274	"female"	FALSE	FALSE
3	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.791759	12	4.722793	"male"	TRUE	FALSE
4	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.791759	12	5.722793	"male"	TRUE	FALSE
0	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.386294	12	6.722793	"male"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.609438	12	7.722793	"male"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.609438	12	8.722793	"male"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.791759	12	6.075291	"female"	TRUE	FALSE
0	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.791759	12	7.075291	"female"	TRUE	FALSE
0	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.386294	12	8.075291	"female"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.609438	12	9.075291	"female"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	9.967326	"excellent"	9.260705	1.609438	12	10.07529	"female"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	0	"excellent"	9.260705	1.791759	12	16.07118	"female"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	0	"excellent"	9.260705	1.791759	12	17.07118	"female"	TRUE	FALSE
6	0	FALSE	3.401197	0	FALSE	6.9	"good"	9.260705	1.791759	12	52.08761	"male"	FALSE	FALSE
1	0	FALSE	3.401197	0	FALSE	6.9	"good"	9.260705	1.791759	12	53.08761	"male"	FALSE	FALSE
1	0	FALSE	3.401197	0	FALSE	6.9	"good"	9.260705	1.386294	12	54.08761	"male"	FALSE	FALSE
0	0	FALSE	3.401197	0	FALSE	6.9	"good"	9.260705	1.609438	12	55.08761	"male"	FALSE	FALSE
4	0	FALSE	3.401197	0	FALSE	6.9	"good"	9.260705	1.609438	12	56.08761	"male"	FALSE	FALSE
1	0	FALSE	5.852202	0	FALSE	20.7	"good"	8.976113	0	13	21.02669	"male"	FALSE	FALSE
1	0	FALSE	5.852202	0	FALSE	20.7	"good"	8.976113	0	13	22.02669	"male"	FALSE	FALSE
4	0	FALSE	5.852202	0	FALSE	20.7	"good"	8.976113	0	13	23.02669	"male"	FALSE	FALSE
3	0	FALSE	5.852202	0	FALSE	20.7	"good"	8.976113	0	13	24.02669	"male"	FALSE	FALSE
0	0	FALSE	5.852202	0	FALSE	20.7	"good"	8.976113	0	13	25.02669	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.177665	1.098612	12	32.1013	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.177665	1.098612	12	33.1013	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.177665	1.098612	12	34.1013	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.177665	1.098612	13	34.31896	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	8.177665	1.098612	13	35.31896	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"good"	8.177665	1.098612	13	36.31896	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	8.177665	1.098612	12	8.50924	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	8.177665	1.098612	12	9.50924	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	8.177665	1.098612	12	10.50924	"male"	TRUE	FALSE
2	0	FALSE	5.321057	0	FALSE	9.967326	"excellent"	8.05069	1.386294	12	6.53525	"male"	TRUE	FALSE
2	0	FALSE	5.321057	0	FALSE	9.967326	"excellent"	8.05069	1.386294	12	7.53525	"male"	TRUE	FALSE
1	0	FALSE	5.321057	0	FALSE	9.967326	"excellent"	8.05069	1.609438	12	8.53525	"male"	TRUE	FALSE
3	0	FALSE	5.321057	0	FALSE	9.967326	"excellent"	8.05069	1.386294	12	2.176591	"male"	TRUE	FALSE
3	0	FALSE	5.321057	0	FALSE	9.967326	"excellent"	8.05069	1.386294	12	3.176591	"male"	TRUE	FALSE
3	0	FALSE	5.321057	0	FALSE	9.967326	"excellent"	8.05069	1.609438	12	4.176591	"male"	TRUE	FALSE
4	0	FALSE	5.321057	0	FALSE	3.4	"excellent"	8.05069	1.386294	12	26.60096	"female"	FALSE	FALSE
0	0	FALSE	5.321057	0	FALSE	3.4	"excellent"	8.05069	1.386294	12	27.60096	"female"	FALSE	FALSE
7	0	FALSE	5.321057	0	FALSE	3.4	"excellent"	8.05069	1.609438	12	28.60096	"female"	FALSE	FALSE
3	0	FALSE	5.321057	0	FALSE	3.4	"excellent"	8.05069	1.386294	14	29.00753	"male"	FALSE	FALSE
1	0	FALSE	5.321057	0	FALSE	3.4	"excellent"	8.05069	1.386294	14	30.00753	"male"	FALSE	FALSE
2	0	FALSE	5.321057	0	FALSE	3.4	"excellent"	8.05069	1.609438	14	31.00753	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"good"	6.270722	0.6931472	13	12.17248	"female"	TRUE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"good"	6.270722	0.6931472	13	13.17248	"female"	TRUE	FALSE
8	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"good"	6.270722	0.6931472	13	14.17248	"female"	TRUE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	6.270722	0.6931472	13	45.41821	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	6.270722	0.6931472	13	46.41821	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	6.270722	0.6931472	13	47.41821	"female"	FALSE	FALSE
4	4.564348	FALSE	5.774551	5.825845	FALSE	9.967326	"poor"	7.776039	1.098612	10	4.750171	"female"	TRUE	FALSE
7	4.564348	FALSE	5.774551	5.825845	FALSE	9.967326	"poor"	7.776039	1.098612	10	5.750171	"female"	TRUE	FALSE
5	4.564348	FALSE	5.774551	5.825845	FALSE	9.967326	"poor"	7.776039	1.098612	10	6.750171	"female"	TRUE	FALSE
0	4.564348	FALSE	5.774551	5.825845	FALSE	10.3	"excellent"	7.776039	1.098612	10	23.22793	"female"	FALSE	FALSE
4	4.564348	FALSE	5.774551	5.825845	FALSE	10.3	"excellent"	7.776039	1.098612	10	24.22793	"female"	FALSE	FALSE
4	4.564348	FALSE	5.774551	5.825845	FALSE	10.3	"excellent"	7.776039	1.098612	10	25.22793	"female"	FALSE	FALSE
1	4.564348	FALSE	5.774551	5.825845	FALSE	9.967326	"good"	7.776039	1.098612	10	2.034223	"female"	TRUE	FALSE
3	4.564348	FALSE	5.774551	5.825845	FALSE	9.967326	"good"	7.776039	1.098612	10	3.034223	"female"	TRUE	FALSE
2	4.564348	FALSE	5.774551	5.825845	FALSE	9.967326	"good"	7.776039	1.098612	10	4.034223	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.912928	1.609438	12	12.87885	"male"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.912928	1.609438	12	13.87885	"male"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.912928	1.609438	12	14.87885	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	11.77823	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	12.77823	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	13.77823	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	31	"good"	7.912928	1.609438	12	34.99521	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	31	"good"	7.912928	1.609438	12	35.99521	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	31	"good"	7.912928	1.609438	12	36.99521	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	10.68583	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	11.68583	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	12.68583	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	2.195756	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	3.195756	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.912928	1.609438	12	4.195756	"male"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	24.1	"fair"	9.018427	0	12	60.37235	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	24.1	"fair"	9.018427	0	12	61.37235	"female"	FALSE	FALSE
30	0	FALSE	0	0	TRUE	24.1	"fair"	9.018427	0	12	62.37235	"female"	FALSE	FALSE
2	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	8.054757	"male"	TRUE	FALSE
4	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	9.054757	"male"	TRUE	FALSE
2	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	10.05476	"male"	TRUE	FALSE
3	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	11.05476	"male"	TRUE	FALSE
9	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	12.05476	"male"	TRUE	FALSE
2	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	3.830253	"female"	TRUE	FALSE
4	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	4.830253	"female"	TRUE	FALSE
2	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	5.830253	"female"	TRUE	FALSE
1	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	6.830253	"female"	TRUE	FALSE
1	3.258096	FALSE	6.26957	7.702105	FALSE	9.967326	"good"	8.834779	1.386294	12	7.830253	"female"	TRUE	FALSE
1	3.258096	FALSE	6.26957	7.702105	TRUE	13.8	"good"	8.834779	1.386294	12	32.19986	"female"	FALSE	FALSE
2	3.258096	FALSE	6.26957	7.702105	TRUE	13.8	"good"	8.834779	1.386294	12	33.19986	"female"	FALSE	FALSE
6	3.258096	FALSE	6.26957	7.702105	TRUE	13.8	"good"	8.834779	1.386294	12	34.19986	"female"	FALSE	FALSE
1	3.258096	FALSE	6.26957	7.702105	TRUE	13.8	"good"	8.834779	1.386294	12	35.19986	"female"	FALSE	FALSE
5	3.258096	FALSE	6.26957	7.702105	TRUE	13.8	"good"	8.834779	1.386294	12	36.19986	"female"	FALSE	FALSE
0	3.258096	FALSE	6.26957	7.702105	FALSE	0	"good"	8.834779	1.386294	12	42.88296	"male"	FALSE	FALSE
0	3.258096	FALSE	6.26957	7.702105	FALSE	0	"good"	8.834779	1.386294	12	43.88296	"male"	FALSE	FALSE
0	3.258096	FALSE	6.26957	7.702105	FALSE	0	"good"	8.834779	1.386294	12	44.88296	"male"	FALSE	FALSE
0	3.258096	FALSE	6.26957	7.702105	FALSE	0	"good"	8.834779	1.386294	12	45.88296	"male"	FALSE	FALSE
0	3.258096	FALSE	6.26957	7.702105	FALSE	0	"good"	8.834779	1.386294	12	46.88296	"male"	FALSE	FALSE
16	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	8.698508	0.6931472	9	50.26694	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	8.698508	0.6931472	9	51.26694	"female"	FALSE	FALSE
9	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	8.698508	0.6931472	9	52.26694	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"fair"	8.698508	0.6931472	5	52.846	"male"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"fair"	8.698508	0.6931472	5	53.846	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	37.9	"fair"	8.698508	0.6931472	5	54.846	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.816946	0	16	35.60027	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.816946	0	16	36.60027	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.816946	0	16	37.60027	"male"	FALSE	FALSE
0	0	FALSE	5.480639	0	FALSE	6.9	"excellent"	9.317139	1.609438	10	31.27721	"female"	FALSE	FALSE
0	0	FALSE	5.480639	0	FALSE	6.9	"excellent"	9.317139	1.609438	10	32.27721	"female"	FALSE	FALSE
0	0	FALSE	5.480639	0	FALSE	6.9	"excellent"	9.317139	1.609438	10	33.27721	"female"	FALSE	FALSE
3	0	FALSE	5.480639	0	FALSE	3.4	"excellent"	9.317139	1.609438	10	14.423	"male"	TRUE	FALSE
1	0	FALSE	5.480639	0	FALSE	3.4	"excellent"	9.317139	1.609438	10	15.423	"male"	TRUE	FALSE
9	0	FALSE	5.480639	0	FALSE	3.4	"excellent"	9.317139	1.609438	10	16.423	"male"	TRUE	FALSE
2	0	FALSE	5.480639	0	FALSE	13.8	"excellent"	9.317139	1.609438	10	42.95962	"male"	FALSE	FALSE
0	0	FALSE	5.480639	0	FALSE	13.8	"excellent"	9.317139	1.609438	10	43.95962	"male"	FALSE	FALSE
1	0	FALSE	5.480639	0	FALSE	13.8	"excellent"	9.317139	1.609438	10	44.95962	"male"	FALSE	FALSE
0	0	FALSE	5.480639	0	FALSE	9.967326	"excellent"	9.317139	1.609438	10	13.01301	"female"	TRUE	FALSE
0	0	FALSE	5.480639	0	FALSE	9.967326	"excellent"	9.317139	1.609438	10	14.01301	"female"	TRUE	FALSE
1	0	FALSE	5.480639	0	FALSE	9.967326	"excellent"	9.317139	1.609438	10	15.01301	"female"	TRUE	FALSE
2	0	FALSE	5.480639	0	FALSE	6.9	"excellent"	9.317139	1.609438	11	18.63107	"male"	FALSE	FALSE
1	0	FALSE	5.480639	0	FALSE	6.9	"excellent"	9.317139	1.609438	11	19.63107	"male"	FALSE	FALSE
0	0	FALSE	5.480639	0	FALSE	6.9	"excellent"	9.317139	1.609438	11	20.63107	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.713573	1.098612	17	7.334702	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.713573	1.098612	17	8.334702	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.713573	1.098612	17	9.334702	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	9.713573	1.098612	18	32	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	9.713573	1.098612	18	33	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	9.713573	1.098612	18	34	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.713573	1.098612	17	31.60301	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.713573	1.098612	17	32.60301	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.713573	1.098612	17	33.60301	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	9.891855	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	10.89186	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	11.89186	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	11.02806	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	12.02806	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	13.02806	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.510757	1.791759	14	14.00137	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.510757	1.791759	14	15.00137	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"excellent"	9.510757	1.791759	14	16.00137	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	13.08693	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	14.08693	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.510757	1.791759	14	15.08693	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.510757	1.791759	17	42.28885	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.510757	1.791759	17	43.28885	"male"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.510757	1.791759	17	44.28885	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.510757	1.791759	14	38.0616	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.510757	1.791759	14	39.0616	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.510757	1.791759	14	40.0616	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	6.954141	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	7.954141	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	8.954141	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	9.954141	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	10.95414	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.048112	1.609438	13	32.81862	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.048112	1.609438	13	33.81862	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.048112	1.609438	13	34.81862	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.048112	1.609438	13	35.81862	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"good"	9.048112	1.609438	13	36.81862	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	11.37577	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	12.37577	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	13.37577	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	14.37577	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.048112	1.609438	13	15.37577	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.048112	1.609438	14	35.22245	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.048112	1.609438	14	36.22245	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.048112	1.609438	14	37.22245	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.048112	1.609438	14	38.22245	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.048112	1.609438	14	39.22245	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	9.048112	1.609438	13	5.264887	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	9.048112	1.609438	13	6.264887	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	9.048112	1.609438	13	7.264887	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	9.048112	1.609438	13	8.264887	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	9.048112	1.609438	13	9.264887	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	0	"good"	9.293134	1.098612	12	51.83847	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.293134	1.098612	12	52.83847	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"good"	9.293134	1.098612	12	53.83847	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	0	"good"	9.293134	1.098612	12	54.83847	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"good"	9.293134	1.098612	12	55.83847	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	9.293134	1.098612	12	17.42094	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	9.293134	1.098612	12	18.42094	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	9.293134	1.098612	12	19.42094	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"excellent"	9.293134	1.098612	12	20.42094	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	9.293134	1.098612	12	21.42094	"female"	FALSE	FALSE
19	0	FALSE	0	0	FALSE	24.1	"good"	9.293134	1.098612	12	50.45037	"female"	FALSE	FALSE
14	0	FALSE	0	0	FALSE	24.1	"good"	9.293134	1.098612	12	51.45037	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	24.1	"good"	9.293134	1.098612	12	52.45037	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	24.1	"good"	9.293134	1.098612	12	53.45037	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	24.1	"good"	9.293134	1.098612	12	54.45037	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.490577	1.386294	12	42.15742	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.490577	1.386294	12	43.15742	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.490577	1.386294	12	44.15742	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.490577	1.386294	12	45.15742	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.490577	1.386294	12	46.15742	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.490577	1.386294	12	12.35592	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.490577	1.386294	12	13.35592	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.490577	1.386294	12	14.35592	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.490577	1.386294	12	15.35592	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.490577	1.386294	12	16.35592	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	36.84052	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	37.84052	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	38.84052	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	39.84052	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	40.84052	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	14.2642	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	15.2642	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	16.2642	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	17.2642	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.490577	1.386294	12	18.2642	"male"	FALSE	FALSE
4	3.258096	FALSE	5.858676	7.24497	TRUE	3.4	"excellent"	8.247484	0	13	60.92266	"female"	FALSE	FALSE
5	3.258096	FALSE	5.858676	7.24497	TRUE	3.4	"excellent"	8.247484	0	13	61.92266	"female"	FALSE	FALSE
4	3.258096	FALSE	5.858676	7.24497	TRUE	3.4	"excellent"	8.247484	0	13	62.92266	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907935	7.600903	FALSE	13.8	"excellent"	9.149632	1.386294	12	33.89185	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907935	7.600903	FALSE	13.8	"excellent"	9.149632	1.386294	12	34.89185	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907935	7.600903	FALSE	13.8	"excellent"	9.149632	1.386294	12	35.89185	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907935	7.600903	FALSE	13.8	"excellent"	9.149632	1.386294	12	36.89185	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907935	7.600903	FALSE	13.8	"excellent"	9.149632	1.386294	12	37.89185	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	2.006845	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	3.006845	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	4.006845	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	5.006845	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	6.006845	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	4.610541	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	5.610541	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	6.610541	"male"	TRUE	FALSE
6	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	7.610541	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907935	7.600903	FALSE	9.967326	"excellent"	9.149632	1.386294	17	8.61054	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907935	7.600903	FALSE	3.4	"excellent"	9.149632	1.386294	17	33.08693	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907935	7.600903	FALSE	3.4	"excellent"	9.149632	1.386294	17	34.08693	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907935	7.600903	FALSE	3.4	"excellent"	9.149632	1.386294	17	35.08693	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907935	7.600903	FALSE	3.4	"excellent"	9.149632	1.386294	17	36.08693	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907935	7.600903	FALSE	3.4	"excellent"	9.149632	1.386294	17	37.08693	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.198404	0.6931472	12	49.17728	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.198404	0.6931472	12	50.17728	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.198404	0.6931472	12	51.17728	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.198404	0.6931472	12	55.48255	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.198404	0.6931472	12	56.48255	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.198404	0.6931472	12	57.48255	"male"	FALSE	FALSE
4	3.258096	FALSE	5.294309	7.156956	FALSE	27.6	"good"	8.130098	0.6931472	12	52.65982	"female"	FALSE	FALSE
2	3.258096	FALSE	5.294309	7.156956	FALSE	27.6	"good"	8.130098	0.6931472	12	53.65982	"female"	FALSE	FALSE
3	3.258096	FALSE	5.294309	7.156956	FALSE	27.6	"good"	8.130098	0.6931472	12	54.65982	"female"	FALSE	FALSE
3	3.258096	FALSE	5.294309	7.156956	FALSE	10.3	"excellent"	8.130098	0.6931472	12	15.35113	"female"	TRUE	FALSE
3	3.258096	FALSE	5.294309	7.156956	FALSE	10.3	"excellent"	8.130098	0.6931472	12	16.35113	"female"	TRUE	FALSE
5	3.258096	FALSE	5.294309	7.156956	FALSE	10.3	"excellent"	8.130098	0.6931472	12	17.35113	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.058679	1.098612	12	1.771389	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.058679	1.098612	12	2.771389	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.058679	1.386294	12	3.771389	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.058679	1.098612	13	24.29295	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.058679	1.098612	13	25.29295	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.058679	1.386294	13	26.29295	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.058679	1.098612	12	22.36824	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.058679	1.098612	12	23.36824	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.058679	1.386294	12	24.36824	"female"	FALSE	FALSE
13	0	FALSE	5.989262	0	TRUE	13.8	"good"	8.590423	0.6931472	14	32.70089	"male"	FALSE	FALSE
5	0	FALSE	5.989262	0	TRUE	13.8	"good"	8.590423	0.6931472	14	33.70089	"male"	FALSE	FALSE
2	0	FALSE	5.989262	0	TRUE	13.8	"good"	8.590423	0.6931472	14	34.70089	"male"	FALSE	FALSE
4	0	FALSE	5.989262	0	FALSE	6.9	"good"	8.590423	0.6931472	15	28.74196	"female"	FALSE	FALSE
0	0	FALSE	5.989262	0	FALSE	6.9	"good"	8.590423	0.6931472	15	29.74196	"female"	FALSE	FALSE
2	0	FALSE	5.989262	0	FALSE	6.9	"good"	8.590423	0.6931472	15	30.74196	"female"	FALSE	FALSE
10	0	FALSE	0	0	TRUE	17.2	"good"	8.976113	0.6931472	12	59.99453	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	17.2	"good"	8.976113	0.6931472	12	60.99453	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	17.2	"good"	8.976113	0.6931472	12	61.99453	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"excellent"	8.976113	0.6931472	16	57.42916	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	8.976113	0.6931472	16	58.42916	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.976113	0.6931472	16	59.42916	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.791759	10	12.40246	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.791759	10	13.40246	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.94591	10	14.40246	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.791759	10	34.04517	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.791759	10	35.04517	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.94591	10	36.04517	"female"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.791759	10	16.6653	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.791759	10	17.6653	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.94591	10	18.6653	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.791759	14	37.66735	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.791759	14	38.66735	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	9.369107	1.94591	14	39.66735	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.791759	10	13.30595	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.791759	10	14.30595	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.94591	10	15.30595	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.791759	10	10.59822	"female"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.791759	10	11.59822	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.369107	1.94591	10	12.59822	"female"	TRUE	FALSE
2	4.564348	FALSE	6.372978	6.424272	FALSE	3.4	"good"	8.950742	1.386294	15	28.47639	"male"	FALSE	FALSE
1	4.564348	FALSE	6.372978	6.424272	FALSE	3.4	"good"	8.950742	1.386294	15	29.47639	"male"	FALSE	FALSE
0	4.564348	FALSE	6.372978	6.424272	FALSE	3.4	"good"	8.950742	1.386294	15	30.47639	"male"	FALSE	FALSE
1	4.564348	FALSE	6.372978	6.424272	FALSE	3.4	"good"	8.950742	1.386294	15	31.47639	"male"	FALSE	FALSE
1	4.564348	FALSE	6.372978	6.424272	FALSE	3.4	"good"	8.950742	1.386294	15	32.47639	"male"	FALSE	FALSE
2	4.564348	FALSE	6.372978	6.424272	FALSE	17.2	"good"	8.950742	1.386294	16	28.30664	"female"	FALSE	FALSE
2	4.564348	FALSE	6.372978	6.424272	FALSE	17.2	"good"	8.950742	1.386294	16	29.30664	"female"	FALSE	FALSE
1	4.564348	FALSE	6.372978	6.424272	FALSE	17.2	"good"	8.950742	1.386294	16	30.30664	"female"	FALSE	FALSE
1	4.564348	FALSE	6.372978	6.424272	FALSE	17.2	"good"	8.950742	1.386294	16	31.30664	"female"	FALSE	FALSE
1	4.564348	FALSE	6.372978	6.424272	FALSE	17.2	"good"	8.950742	1.386294	16	32.30664	"female"	FALSE	FALSE
3	4.564348	FALSE	6.372978	6.424272	FALSE	9.967326	"excellent"	8.950742	1.386294	16	2.30527	"male"	TRUE	FALSE
2	4.564348	FALSE	6.372978	6.424272	FALSE	9.967326	"excellent"	8.950742	1.386294	16	3.30527	"male"	TRUE	FALSE
3	4.564348	FALSE	6.372978	6.424272	FALSE	9.967326	"excellent"	8.950742	1.386294	16	4.30527	"male"	TRUE	FALSE
4	4.564348	FALSE	6.372978	6.424272	FALSE	9.967326	"excellent"	8.950742	1.386294	16	5.30527	"male"	TRUE	FALSE
2	4.564348	FALSE	6.372978	6.424272	FALSE	9.967326	"excellent"	8.950742	1.386294	16	6.30527	"male"	TRUE	FALSE
0	3.931826	FALSE	5.518898	5.442418	FALSE	6.9	"excellent"	7.524669	0	12	20.44079	"female"	FALSE	FALSE
0	3.931826	FALSE	5.518898	5.442418	FALSE	6.9	"excellent"	7.524669	0	12	21.44079	"female"	FALSE	FALSE
1	3.931826	FALSE	5.518898	5.442418	FALSE	6.9	"excellent"	7.524669	0	12	22.44079	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.061929	FALSE	20.7	"good"	7.3441	0	12	19.60849	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	FALSE	20.7	"good"	7.3441	0	12	20.60849	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	20.7	"good"	7.3441	0	12	21.60849	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.322606	0.6931472	15	26.46954	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.322606	0.6931472	16	26.29706	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.588001	1.609438	12	54.52977	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.588001	1.609438	12	55.52977	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	0	"excellent"	9.588001	1.609438	12	56.52977	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	9.588001	1.609438	12	19.57563	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	9.588001	1.609438	12	20.57563	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.588001	1.609438	12	21.57563	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	9.588001	1.609438	12	10.49144	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	9.588001	1.609438	12	11.49144	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"good"	9.588001	1.609438	12	12.49144	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	24.1	"good"	9.588001	1.609438	12	51.31006	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	24.1	"good"	9.588001	1.609438	12	52.31006	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	24.1	"good"	9.588001	1.609438	12	53.31006	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"good"	9.588001	1.609438	12	14.14647	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	9.588001	1.609438	12	15.14647	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	3.4	"good"	9.588001	1.609438	12	16.14647	"female"	TRUE	FALSE
2	4.564348	FALSE	6.836635	6.887928	FALSE	27.6	"good"	8.411338	0.6931472	10	47.76455	"female"	FALSE	FALSE
0	4.564348	FALSE	6.836635	6.887928	FALSE	27.6	"good"	8.411338	0.6931472	10	48.76455	"female"	FALSE	FALSE
4	4.564348	FALSE	6.836635	6.887928	FALSE	6.9	"good"	8.411338	0.6931472	10	15.91239	"female"	TRUE	FALSE
3	4.564348	FALSE	6.836635	6.887928	FALSE	6.9	"good"	8.411338	0.6931472	10	16.91239	"female"	TRUE	FALSE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.3	"excellent"	8.276402	0	12	26.08624	"female"	FALSE	FALSE
1	4.564348	FALSE	6.802395	6.853688	FALSE	10.3	"excellent"	8.276402	0	12	27.08624	"female"	FALSE	FALSE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.3	"excellent"	8.276402	0	12	28.08624	"female"	FALSE	FALSE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.3	"excellent"	8.276402	0	12	29.08624	"female"	FALSE	FALSE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.3	"excellent"	8.276402	0	12	30.08624	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.306701	1.609438	12	36.95004	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.306701	1.609438	12	37.95004	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.306701	1.609438	12	38.95004	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	5.048597	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	6.048597	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	7.048597	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	2.600958	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	3.600958	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	4.600958	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	9.015742	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	10.01574	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.306701	1.609438	12	11.01574	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.306701	1.609438	12	40.1807	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.306701	1.609438	12	41.1807	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.306701	1.609438	12	42.1807	"male"	FALSE	FALSE
1	4.564348	FALSE	6.365267	6.41656	FALSE	9.967326	"fair"	8.809268	1.386294	12	5.218344	"male"	TRUE	FALSE
1	4.564348	FALSE	6.365267	6.41656	FALSE	9.967326	"fair"	8.809268	1.386294	12	6.218344	"male"	TRUE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	9.967326	"fair"	8.809268	1.386294	12	7.218344	"male"	TRUE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	3.4	"good"	8.809268	1.386294	12	29.32512	"male"	FALSE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	3.4	"good"	8.809268	1.386294	12	30.32512	"male"	FALSE	FALSE
1	4.564348	FALSE	6.365267	6.41656	FALSE	3.4	"good"	8.809268	1.386294	12	31.32512	"male"	FALSE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	9.967326	"good"	8.809268	1.386294	12	7.296372	"male"	TRUE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	9.967326	"good"	8.809268	1.386294	12	8.296372	"male"	TRUE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	9.967326	"good"	8.809268	1.386294	12	9.296372	"male"	TRUE	FALSE
2	4.564348	FALSE	6.365267	6.41656	FALSE	3.4	"excellent"	8.809268	1.386294	12	29.56058	"female"	FALSE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	3.4	"excellent"	8.809268	1.386294	12	30.56058	"female"	FALSE	FALSE
0	4.564348	FALSE	6.365267	6.41656	FALSE	3.4	"excellent"	8.809268	1.386294	12	31.56058	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.140302	1.098612	12	21.88364	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.140302	1.098612	12	22.88364	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.140302	1.098612	12	23.88364	"female"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.140302	1.098612	12	24.88364	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.140302	1.098612	12	25.88364	"female"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.140302	1.098612	12	25.93292	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.140302	1.098612	12	26.93292	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.140302	1.098612	12	27.93292	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.140302	1.098612	12	28.93292	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.140302	1.098612	12	29.93292	"male"	FALSE	FALSE
4	3.258096	FALSE	0	6.877296	FALSE	0	"excellent"	7.124995	0	16	24.96372	"female"	FALSE	FALSE
9	3.258096	FALSE	0	6.877296	FALSE	0	"excellent"	7.124995	0	16	25.96372	"female"	FALSE	FALSE
8	3.258096	FALSE	0	6.877296	FALSE	0	"excellent"	7.124995	0	16	26.96372	"female"	FALSE	FALSE
1	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.609438	12	15.12663	"female"	TRUE	FALSE
0	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.609438	12	16.12663	"female"	TRUE	FALSE
2	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.098612	12	17.12663	"female"	TRUE	FALSE
0	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.609438	12	45.61807	"male"	FALSE	FALSE
0	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.609438	12	46.61807	"male"	FALSE	FALSE
0	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.098612	12	47.61807	"male"	FALSE	FALSE
5	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.609438	12	16.38604	"female"	TRUE	FALSE
4	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	9.202965	1.609438	12	17.38604	"female"	TRUE	FALSE
2	0	FALSE	5.154216	0	FALSE	6.9	"excellent"	9.202965	1.609438	12	42.60369	"female"	FALSE	FALSE
0	0	FALSE	5.154216	0	FALSE	6.9	"excellent"	9.202965	1.609438	12	43.60369	"female"	FALSE	FALSE
0	0	FALSE	5.154216	0	FALSE	9.967326	"excellent"	9.202965	1.609438	12	6.986995	"female"	TRUE	FALSE
0	0	FALSE	5.154216	0	FALSE	9.967326	"excellent"	9.202965	1.609438	12	7.986995	"female"	TRUE	FALSE
1	0	FALSE	5.154216	0	FALSE	9.967326	"excellent"	9.202965	1.098612	12	8.986995	"female"	TRUE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	10.3	"excellent"	8.959071	0.6931472	12	54.37372	"male"	FALSE	FALSE
10	3.258096	FALSE	6.586172	8.006368	FALSE	10.3	"excellent"	8.959071	0.6931472	12	55.37372	"male"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	10.3	"excellent"	8.959071	0	12	56.37372	"male"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"good"	8.959071	0.6931472	11	47.16496	"female"	FALSE	FALSE
0	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"good"	8.959071	0.6931472	11	48.16496	"female"	FALSE	FALSE
7	4.564348	TRUE	6.823765	6.160541	FALSE	9.967326	"excellent"	9.296798	1.098612	12	12.44627	"male"	TRUE	FALSE
3	4.564348	TRUE	6.823765	6.160541	FALSE	9.967326	"excellent"	9.296798	1.098612	12	13.44627	"male"	TRUE	FALSE
3	4.564348	TRUE	6.823765	6.160541	FALSE	9.967326	"excellent"	9.296798	1.098612	12	14.44627	"male"	TRUE	FALSE
4	4.564348	TRUE	6.823765	6.160541	TRUE	24.1	"good"	9.296798	1.098612	12	45.15263	"female"	FALSE	FALSE
7	4.564348	TRUE	6.823765	6.160541	TRUE	24.1	"good"	9.296798	1.098612	12	46.15263	"female"	FALSE	FALSE
4	4.564348	TRUE	6.823765	6.160541	TRUE	24.1	"good"	9.296798	1.098612	12	47.15263	"female"	FALSE	FALSE
2	4.564348	TRUE	6.823765	6.160541	FALSE	13.8	"excellent"	9.296798	1.098612	12	45.84531	"male"	FALSE	FALSE
1	4.564348	TRUE	6.823765	6.160541	FALSE	13.8	"excellent"	9.296798	1.098612	12	46.84531	"male"	FALSE	FALSE
0	4.564348	TRUE	6.823765	6.160541	FALSE	13.8	"excellent"	9.296798	1.098612	12	47.84531	"male"	FALSE	FALSE
2	0	FALSE	6.218202	0	FALSE	10.3	"excellent"	8.697053	0.6931472	12	22.69952	"female"	FALSE	FALSE
0	0	FALSE	6.218202	0	FALSE	10.3	"excellent"	8.697053	0.6931472	12	23.69952	"female"	FALSE	FALSE
1	0	FALSE	6.218202	0	FALSE	10.3	"excellent"	8.697053	0.6931472	12	24.69952	"female"	FALSE	FALSE
3	0	FALSE	6.218202	0	FALSE	6.9	"good"	8.697053	0.6931472	12	31.64682	"male"	FALSE	FALSE
5	0	FALSE	6.218202	0	FALSE	6.9	"good"	8.697053	0.6931472	12	32.64682	"male"	FALSE	FALSE
0	0	FALSE	6.218202	0	FALSE	6.9	"good"	8.697053	0.6931472	12	33.64682	"male"	FALSE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	2.61191	"male"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	3.61191	"male"	TRUE	FALSE
4	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	4.61191	"male"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	5.61191	"male"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.609438	12	6.61191	"male"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	7.82204	"male"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	8.82204	"male"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	9.82204	"male"	TRUE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	10.82204	"male"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.609438	12	11.82204	"male"	TRUE	FALSE
14	3.931826	FALSE	0	7.600903	FALSE	10.3	"fair"	8.833839	1.791759	12	36.64613	"female"	FALSE	FALSE
15	3.931826	FALSE	0	7.600903	FALSE	10.3	"fair"	8.833839	1.791759	12	37.64613	"female"	FALSE	FALSE
16	3.931826	FALSE	0	7.600903	FALSE	10.3	"fair"	8.833839	1.791759	12	38.64613	"female"	FALSE	FALSE
41	3.931826	FALSE	0	7.600903	FALSE	10.3	"fair"	8.833839	1.791759	12	39.64613	"female"	FALSE	FALSE
7	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.833839	1.791759	12	14.78987	"male"	TRUE	FALSE
4	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.833839	1.791759	12	15.78987	"male"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.833839	1.791759	12	16.78987	"male"	TRUE	FALSE
5	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.833839	1.791759	12	17.78987	"male"	TRUE	FALSE
4	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.833839	1.609438	12	18.78987	"male"	FALSE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	5.522245	"female"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	6.522245	"female"	TRUE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	7.522245	"female"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.791759	12	8.522245	"female"	TRUE	FALSE
5	3.931826	FALSE	0	7.600903	FALSE	9.967326	"good"	8.833839	1.609438	12	9.522245	"female"	TRUE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	3.4	"good"	8.833839	1.791759	12	38.42574	"male"	FALSE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	3.4	"good"	8.833839	1.791759	12	39.42574	"male"	FALSE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	3.4	"good"	8.833839	1.791759	12	40.42574	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"good"	8.833839	1.791759	12	41.42574	"male"	FALSE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	3.4	"good"	8.833839	1.609438	12	42.42574	"male"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	5.281314	"male"	TRUE	FALSE
4	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	6.281314	"male"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	7.281314	"male"	TRUE	FALSE
4	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	8.281314	"male"	TRUE	FALSE
1	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	9.281314	"male"	TRUE	FALSE
4	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	11.31006	"female"	TRUE	FALSE
3	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	12.31006	"female"	TRUE	FALSE
2	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	13.31006	"female"	TRUE	FALSE
3	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	14.31006	"female"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	15.31006	"female"	TRUE	FALSE
1	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	9.415469	"female"	TRUE	FALSE
8	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	10.41547	"female"	TRUE	FALSE
2	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	11.41547	"female"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	12.41547	"female"	TRUE	FALSE
4	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	9.355707	1.791759	13	13.41547	"female"	TRUE	FALSE
2	0	FALSE	6.200184	0	FALSE	10.3	"fair"	9.355707	1.791759	13	32.85421	"female"	FALSE	FALSE
7	0	FALSE	6.200184	0	FALSE	10.3	"fair"	9.355707	1.791759	13	33.85421	"female"	FALSE	FALSE
2	0	FALSE	6.200184	0	FALSE	10.3	"fair"	9.355707	1.791759	13	34.85421	"female"	FALSE	FALSE
1	0	FALSE	6.200184	0	FALSE	10.3	"fair"	9.355707	1.791759	13	35.85421	"female"	FALSE	FALSE
3	0	FALSE	6.200184	0	FALSE	10.3	"fair"	9.355707	1.791759	13	36.85421	"female"	FALSE	FALSE
4	0	FALSE	6.200184	0	TRUE	6.9	"excellent"	9.355707	1.791759	12	36.57221	"male"	FALSE	FALSE
0	0	FALSE	6.200184	0	TRUE	6.9	"excellent"	9.355707	1.791759	12	37.57221	"male"	FALSE	FALSE
1	0	FALSE	6.200184	0	TRUE	6.9	"excellent"	9.355707	1.791759	12	38.57221	"male"	FALSE	FALSE
1	0	FALSE	6.200184	0	TRUE	6.9	"excellent"	9.355707	1.791759	12	39.57221	"male"	FALSE	FALSE
6	0	FALSE	6.200184	0	TRUE	6.9	"excellent"	9.355707	1.791759	12	40.57221	"male"	FALSE	FALSE
2	0	FALSE	5.198276	0	FALSE	6.9	"excellent"	8.942112	0.6931472	16	24.68172	"female"	FALSE	FALSE
6	0	FALSE	5.198276	0	FALSE	6.9	"excellent"	8.942112	0.6931472	16	25.68172	"female"	FALSE	FALSE
3	0	FALSE	5.198276	0	FALSE	6.9	"excellent"	8.942112	0.6931472	16	26.68172	"female"	FALSE	FALSE
2	0	FALSE	5.198276	0	FALSE	6.9	"excellent"	8.942112	0.6931472	16	27.68172	"female"	FALSE	FALSE
2	0	FALSE	5.198276	0	FALSE	6.9	"excellent"	8.942112	0.6931472	16	28.68172	"female"	FALSE	FALSE
0	0	FALSE	5.198276	0	FALSE	13.8	"excellent"	8.942112	0.6931472	16	23.81383	"male"	FALSE	FALSE
0	0	FALSE	5.198276	0	FALSE	13.8	"excellent"	8.942112	0.6931472	16	24.81383	"male"	FALSE	FALSE
4	0	FALSE	5.198276	0	FALSE	13.8	"excellent"	8.942112	0.6931472	16	25.81383	"male"	FALSE	FALSE
0	0	FALSE	5.198276	0	FALSE	13.8	"excellent"	8.942112	0.6931472	16	26.81383	"male"	FALSE	FALSE
1	0	FALSE	5.198276	0	FALSE	13.8	"excellent"	8.942112	0.6931472	16	27.81383	"male"	FALSE	FALSE
24	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	5.902806	"male"	TRUE	FALSE
6	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	6.902806	"male"	TRUE	FALSE
5	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	7.902806	"male"	TRUE	FALSE
5	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	8.902806	"male"	TRUE	FALSE
7	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	9.902806	"male"	TRUE	FALSE
0	0	FALSE	5.991664	0	FALSE	6.9	"excellent"	9.041398	1.386294	8	27.0527	"male"	FALSE	FALSE
0	0	FALSE	5.991664	0	FALSE	6.9	"excellent"	9.041398	1.386294	8	28.0527	"male"	FALSE	FALSE
0	0	FALSE	5.991664	0	FALSE	6.9	"excellent"	9.041398	1.386294	8	29.0527	"male"	FALSE	FALSE
1	0	FALSE	5.991664	0	FALSE	6.9	"excellent"	9.041398	1.386294	8	30.0527	"male"	FALSE	FALSE
0	0	FALSE	5.991664	0	FALSE	6.9	"excellent"	9.041398	1.386294	8	31.0527	"male"	FALSE	FALSE
3	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	7.323751	"female"	TRUE	FALSE
1	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	8.32375	"female"	TRUE	FALSE
5	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	9.32375	"female"	TRUE	FALSE
2	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	10.32375	"female"	TRUE	FALSE
1	0	FALSE	5.991664	0	FALSE	9.967326	"excellent"	9.041398	1.386294	12	11.32375	"female"	TRUE	FALSE
8	0	FALSE	5.991664	0	FALSE	27.6	"excellent"	9.041398	1.386294	12	26.33813	"female"	FALSE	FALSE
5	0	FALSE	5.991664	0	FALSE	27.6	"excellent"	9.041398	1.386294	12	27.33813	"female"	FALSE	FALSE
4	0	FALSE	5.991664	0	FALSE	27.6	"excellent"	9.041398	1.386294	12	28.33813	"female"	FALSE	FALSE
3	0	FALSE	5.991664	0	FALSE	27.6	"excellent"	9.041398	1.386294	12	29.33813	"female"	FALSE	FALSE
4	0	FALSE	5.991664	0	FALSE	27.6	"excellent"	9.041398	1.386294	12	30.33813	"female"	FALSE	FALSE
0	4.564348	FALSE	0	3.592253	FALSE	6.9	"excellent"	6.594694	0	12	20.10404	"female"	FALSE	FALSE
0	4.564348	FALSE	0	3.592253	FALSE	6.9	"excellent"	6.594694	0	12	21.10404	"female"	FALSE	FALSE
1	4.564348	FALSE	0	3.592253	FALSE	6.9	"excellent"	6.594694	0.6931472	12	22.10404	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.185387	FALSE	0	"excellent"	7.636537	0	12	24.5859	"male"	FALSE	FALSE
2	3.931826	FALSE	0	7.185387	FALSE	0	"excellent"	7.636537	0	12	25.5859	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.185387	FALSE	0	"excellent"	7.636537	0	12	26.5859	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.362709	0	12	25.64819	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.362709	0	12	26.64819	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.362709	0	12	27.64819	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.28124	1.386294	16	26.48323	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.28124	1.386294	16	27.48323	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.28124	1.386294	16	28.48323	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.28124	1.386294	16	1.338809	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.28124	1.386294	16	2.338809	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.28124	1.386294	16	3.338809	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.28124	1.386294	16	28.75017	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.28124	1.386294	16	29.75017	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.28124	1.386294	16	30.75017	"male"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.28124	1.386294	16	5.437372	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.28124	1.386294	16	6.437372	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.28124	1.386294	16	7.437372	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.837763	0.6931472	16	26.6037	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.837763	0.6931472	16	27.6037	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.837763	0.6931472	16	28.6037	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.837763	0.6931472	16	29.6037	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.837763	0.6931472	16	30.6037	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.837763	0.6931472	16	26.27515	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.837763	0.6931472	16	27.27515	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.837763	0.6931472	16	28.27515	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.837763	0.6931472	16	29.27515	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.837763	0.6931472	16	30.27515	"female"	FALSE	FALSE
2	0	FALSE	5.527523	0	FALSE	9.967326	"excellent"	8.90937	1.386294	12	4.517454	"male"	TRUE	FALSE
1	0	FALSE	5.527523	0	FALSE	9.967326	"excellent"	8.90937	1.386294	12	5.517454	"male"	TRUE	FALSE
1	0	FALSE	5.527523	0	FALSE	9.967326	"excellent"	8.90937	1.386294	12	6.517454	"male"	TRUE	FALSE
2	0	FALSE	5.527523	0	FALSE	6.9	"good"	8.90937	1.386294	12	26.54346	"female"	FALSE	FALSE
2	0	FALSE	5.527523	0	FALSE	6.9	"good"	8.90937	1.386294	12	27.54346	"female"	FALSE	FALSE
2	0	FALSE	5.527523	0	FALSE	6.9	"good"	8.90937	1.386294	12	28.54346	"female"	FALSE	FALSE
22	0	FALSE	5.527523	0	FALSE	9.967326	"fair"	8.90937	1.386294	12	2.124572	"male"	TRUE	FALSE
25	0	FALSE	5.527523	0	FALSE	9.967326	"fair"	8.90937	1.386294	12	3.124572	"male"	TRUE	FALSE
30	0	FALSE	5.527523	0	FALSE	9.967326	"fair"	8.90937	1.386294	12	4.124572	"male"	TRUE	FALSE
2	0	FALSE	5.527523	0	FALSE	10.3	"good"	8.90937	1.386294	14	29.1499	"male"	FALSE	FALSE
0	0	FALSE	5.527523	0	FALSE	10.3	"good"	8.90937	1.386294	14	30.1499	"male"	FALSE	FALSE
4	0	FALSE	5.527523	0	FALSE	10.3	"good"	8.90937	1.386294	14	31.1499	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.525685	0	18	36.62423	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.525685	0	18	37.62423	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.525685	0	18	38.62423	"male"	FALSE	FALSE
1	4.564348	FALSE	6.872128	6.948998	FALSE	17.2	"good"	8.330433	0	16	31.51814	"female"	FALSE	FALSE
2	4.564348	FALSE	6.872128	6.948998	FALSE	17.2	"good"	8.330433	0	16	32.51814	"female"	FALSE	FALSE
3	4.564348	FALSE	6.872128	6.948998	FALSE	17.2	"good"	8.330433	0	16	33.51814	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.939271	1.098612	13	17.62628	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.939271	1.098612	13	18.62628	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.939271	1.098612	13	19.62628	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	8.939271	1.098612	13	57.2731	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	8.939271	1.098612	13	58.2731	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"good"	8.939271	1.098612	13	59.2731	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"good"	8.939271	1.098612	8	60.77755	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"good"	8.939271	1.098612	8	61.77755	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"good"	8.939271	1.098612	8	62.77755	"male"	FALSE	FALSE
0	3.258096	FALSE	0	6.618472	FALSE	10.3	"good"	7.250369	0	14	37.07324	"male"	FALSE	FALSE
1	3.258096	FALSE	0	6.618472	FALSE	10.3	"good"	7.250369	0	14	38.07324	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	3.4	"excellent"	9.410378	0	12	58.41752	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.410378	0	12	59.41752	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.410378	0	12	60.41752	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.410378	0	12	61.41752	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.410378	0	12	62.41752	"female"	FALSE	FALSE
2	0	FALSE	5.11247	0	FALSE	13.8	"excellent"	7.842457	0	16	23.24983	"female"	FALSE	FALSE
6	0	FALSE	5.11247	0	FALSE	13.8	"excellent"	7.842457	0	16	24.24983	"female"	FALSE	FALSE
3	0	FALSE	5.11247	0	FALSE	13.8	"excellent"	7.842457	0	16	25.24983	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.004113	1.098612	14	26.03422	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.004113	1.098612	14	27.03422	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.004113	1.098612	14	28.03422	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.004113	1.098612	14	29.03422	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.004113	1.098612	14	30.03422	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.004113	1.098612	15	26.2423	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.004113	1.098612	15	27.2423	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.004113	1.098612	15	28.2423	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.004113	1.098612	15	29.2423	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.004113	1.098612	15	30.2423	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.004113	1.098612	14	2.822724	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.004113	1.098612	14	3.822724	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.004113	1.098612	14	4.822724	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.004113	1.098612	14	5.822724	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.004113	1.098612	14	6.822724	"male"	TRUE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	8.143312	0.6931472	12	25.10883	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	8.143312	0.6931472	12	26.10883	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	17.2	"excellent"	8.143312	0.6931472	12	27.10883	"female"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	8.143312	0.6931472	12	5.253936	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	8.143312	0.6931472	12	6.253936	"female"	TRUE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	8.143312	0.6931472	12	7.253936	"female"	TRUE	FALSE
5	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	8.165234	0	12	35.39767	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	8.165234	0	12	36.39767	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	8.165234	0.6931472	12	37.39767	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	8.165234	0.6931472	12	38.39767	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	27.6	"good"	8.165234	0.6931472	12	39.39767	"male"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	6.9	"good"	8.727155	0	14	54.22861	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	6.9	"good"	8.727155	0	14	55.22861	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	6.9	"good"	8.727155	0	14	56.22861	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.158319	0.6931472	12	55.2909	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.158319	0.6931472	12	56.2909	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.158319	0.6931472	12	57.2909	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.158319	0.6931472	12	53.58522	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.158319	0.6931472	12	54.58522	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	9.158319	0.6931472	12	55.58522	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.981662	1.386294	12	2.926763	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.981662	1.386294	12	3.926763	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.981662	1.609438	12	4.926763	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.981662	1.386294	16	25.93019	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.981662	1.386294	16	26.93019	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.981662	1.609438	16	27.93019	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.981662	1.386294	12	0.7802874	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.981662	1.386294	12	1.780288	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.981662	1.609438	12	2.780288	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.981662	1.386294	12	23.6167	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.981662	1.386294	12	24.6167	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.981662	1.609438	12	25.6167	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.780791	0	12	22.88296	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.780791	0	12	23.88296	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.780791	0	12	24.88296	"male"	FALSE	FALSE
1	0	FALSE	4.836282	0	FALSE	10.3	"good"	8.253763	0	15	30.42026	"female"	FALSE	FALSE
1	0	FALSE	4.836282	0	FALSE	10.3	"good"	8.253763	0	15	31.42026	"female"	FALSE	FALSE
2	0	FALSE	4.836282	0	FALSE	10.3	"good"	8.253763	0	15	32.42026	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.196147	1.386294	12	33.46749	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.196147	1.386294	12	34.46749	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.196147	1.386294	12	35.46749	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.196147	1.386294	12	31.81383	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.196147	1.386294	12	32.81383	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	9.196147	1.386294	12	33.81383	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.196147	1.386294	12	7.195072	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.196147	1.386294	12	8.195072	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.196147	1.386294	12	9.195072	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.196147	1.386294	12	11.2909	"female"	TRUE	FALSE
24	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.196147	1.386294	12	12.2909	"female"	TRUE	FALSE
33	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.196147	1.386294	12	13.2909	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	10.92129	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	11.92129	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	12.92129	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	13.92129	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.94591	11	14.92129	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	6.105407	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	7.105407	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	8.105408	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	9.105408	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.94591	11	10.10541	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	9.637235	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	10.63723	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	11.63723	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	12.63723	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.94591	11	13.63723	"female"	TRUE	FALSE
12	0	FALSE	0	0	FALSE	3.4	"excellent"	9.073449	1.791759	13	34.17933	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.073449	1.791759	13	35.17933	"male"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	3.4	"excellent"	9.073449	1.791759	13	36.17933	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.073449	1.791759	13	37.17933	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	9.073449	1.94591	13	38.17933	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	9.073449	1.791759	11	31.76728	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	9.073449	1.791759	11	32.76728	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	13.8	"excellent"	9.073449	1.791759	11	33.76728	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"excellent"	9.073449	1.791759	11	34.76728	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	9.073449	1.94591	11	35.76728	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	7.438741	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	8.438741	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	9.438741	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.791759	11	10.43874	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.073449	1.94591	11	11.43874	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"good"	9.088202	0.6931472	13	25.1718	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"good"	9.088202	0.6931472	13	26.1718	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	17.2	"good"	9.088202	0.6931472	13	27.1718	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	9.088202	0.6931472	13	22.93498	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	9.088202	0.6931472	13	23.93498	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	9.088202	0.6931472	13	24.93498	"female"	FALSE	FALSE
6	4.564348	FALSE	0	4.573082	FALSE	0	"excellent"	7.532864	0	14	22.81725	"female"	FALSE	FALSE
3	4.564348	FALSE	0	4.573082	FALSE	0	"excellent"	7.532864	0	14	23.81725	"female"	FALSE	FALSE
0	4.564348	FALSE	0	4.573082	FALSE	0	"excellent"	7.532864	0	14	24.81725	"female"	FALSE	FALSE
1	4.564348	FALSE	0	5.362033	FALSE	10.3	"good"	7.818495	0	13	20.83778	"female"	FALSE	FALSE
1	4.564348	FALSE	0	5.362033	FALSE	10.3	"good"	7.818495	0	13	21.83778	"female"	FALSE	FALSE
2	4.564348	FALSE	0	5.362033	FALSE	10.3	"good"	7.818495	0	13	22.83778	"female"	FALSE	FALSE
1	0	FALSE	5.372497	0	FALSE	3.4	"excellent"	9.559207	1.609438	16	41.03765	"male"	FALSE	FALSE
0	0	FALSE	5.372497	0	FALSE	3.4	"excellent"	9.559207	1.609438	16	42.03765	"male"	FALSE	FALSE
5	0	FALSE	5.372497	0	FALSE	3.4	"excellent"	9.559207	1.609438	16	43.03765	"male"	FALSE	FALSE
9	0	FALSE	5.372497	0	FALSE	9.967326	"excellent"	9.559207	1.609438	16	9.393566	"female"	TRUE	FALSE
1	0	FALSE	5.372497	0	FALSE	9.967326	"excellent"	9.559207	1.609438	16	10.39357	"female"	TRUE	FALSE
2	0	FALSE	5.372497	0	FALSE	9.967326	"excellent"	9.559207	1.609438	16	11.39357	"female"	TRUE	FALSE
2	0	FALSE	5.372497	0	TRUE	9.967326	"excellent"	9.559207	1.609438	16	11.33744	"male"	TRUE	FALSE
0	0	FALSE	5.372497	0	TRUE	9.967326	"excellent"	9.559207	1.609438	16	12.33744	"male"	TRUE	FALSE
3	0	FALSE	5.372497	0	TRUE	9.967326	"excellent"	9.559207	1.609438	16	13.33744	"male"	TRUE	FALSE
1	0	FALSE	5.372497	0	FALSE	13.8	"excellent"	9.559207	1.609438	16	38.0178	"female"	FALSE	FALSE
1	0	FALSE	5.372497	0	FALSE	13.8	"excellent"	9.559207	1.609438	16	39.0178	"female"	FALSE	FALSE
2	0	FALSE	5.372497	0	FALSE	13.8	"excellent"	9.559207	1.609438	16	40.0178	"female"	FALSE	FALSE
1	0	FALSE	5.372497	0	FALSE	9.967326	"excellent"	9.559207	1.609438	16	3.742642	"female"	TRUE	FALSE
0	0	FALSE	5.372497	0	FALSE	9.967326	"excellent"	9.559207	1.609438	16	4.742642	"female"	TRUE	FALSE
3	0	FALSE	5.372497	0	FALSE	9.967326	"excellent"	9.559207	1.609438	16	5.742642	"female"	TRUE	FALSE
2	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	7.939767	"male"	TRUE	FALSE
1	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	8.939767	"male"	TRUE	FALSE
6	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	9.939767	"male"	TRUE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	3.4	"excellent"	8.976113	1.386294	12	30.41752	"female"	FALSE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	3.4	"excellent"	8.976113	1.386294	12	31.41752	"female"	FALSE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	3.4	"excellent"	8.976113	1.386294	12	32.41752	"female"	FALSE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	0	"excellent"	8.976113	1.386294	12	30.9514	"male"	FALSE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	0	"excellent"	8.976113	1.386294	12	31.9514	"male"	FALSE	FALSE
2	4.564348	TRUE	6.200184	6.160541	FALSE	0	"excellent"	8.976113	1.386294	12	32.9514	"male"	FALSE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	6.518823	"male"	TRUE	FALSE
0	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	7.518823	"male"	TRUE	FALSE
1	4.564348	TRUE	6.200184	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	8.518823	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	6.9	"excellent"	9.294105	1.098612	11	14.19028	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	6.9	"excellent"	9.294105	1.098612	11	15.19028	"female"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	6.9	"excellent"	9.294105	1.098612	11	16.19028	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"good"	9.294105	1.098612	11	37.7577	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"good"	9.294105	1.098612	11	38.7577	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"good"	9.294105	1.098612	11	39.7577	"female"	FALSE	FALSE
3	3.258096	FALSE	4.787492	6.173786	FALSE	3.4	"good"	8.76732	1.609438	14	17.91102	"female"	TRUE	FALSE
7	3.258096	FALSE	4.787492	6.173786	FALSE	3.4	"good"	8.76732	1.609438	14	18.91102	"female"	FALSE	FALSE
10	3.258096	FALSE	4.787492	6.173786	FALSE	3.4	"good"	8.76732	1.609438	14	19.91102	"female"	FALSE	FALSE
23	3.258096	FALSE	4.787492	6.173786	TRUE	31	"fair"	8.76732	1.609438	14	39.38124	"female"	FALSE	FALSE
18	3.258096	FALSE	4.787492	6.173786	TRUE	31	"fair"	8.76732	1.609438	14	40.38124	"female"	FALSE	FALSE
4	3.258096	FALSE	4.787492	6.173786	TRUE	31	"fair"	8.76732	1.609438	14	41.38124	"female"	FALSE	FALSE
7	3.258096	FALSE	4.787492	6.173786	FALSE	3.4	"excellent"	8.76732	1.609438	14	16.06571	"female"	TRUE	FALSE
5	3.258096	FALSE	4.787492	6.173786	FALSE	3.4	"excellent"	8.76732	1.609438	14	17.06571	"female"	TRUE	FALSE
1	3.258096	FALSE	4.787492	6.173786	FALSE	3.4	"excellent"	8.76732	1.609438	14	18.06571	"female"	FALSE	FALSE
0	3.258096	FALSE	4.787492	6.173786	FALSE	9.967326	"excellent"	8.76732	1.609438	14	12	"male"	TRUE	FALSE
12	3.258096	FALSE	4.787492	6.173786	FALSE	9.967326	"excellent"	8.76732	1.609438	14	13	"male"	TRUE	FALSE
3	3.258096	FALSE	4.787492	6.173786	FALSE	9.967326	"excellent"	8.76732	1.609438	14	14	"male"	TRUE	FALSE
1	3.258096	FALSE	4.787492	6.173786	FALSE	13.8	"excellent"	8.76732	1.609438	12	19.45243	"male"	FALSE	FALSE
2	3.258096	FALSE	4.787492	6.173786	FALSE	13.8	"excellent"	8.76732	1.609438	12	20.45243	"male"	FALSE	FALSE
5	3.258096	FALSE	4.787492	6.173786	FALSE	13.8	"excellent"	8.76732	1.609438	12	21.45243	"male"	FALSE	FALSE
0	4.564348	FALSE	6.141069	6.192362	FALSE	13.8	"good"	8.505121	0	14	29.28679	"male"	FALSE	FALSE
0	4.564348	FALSE	6.141069	6.192362	FALSE	13.8	"good"	8.505121	0	14	30.28679	"male"	FALSE	FALSE
4	4.564348	FALSE	6.141069	6.192362	FALSE	13.8	"good"	8.505121	0	14	31.28679	"male"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	9.967326	"fair"	8.976113	0.6931472	11	21.16085	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	9.967326	"fair"	8.976113	0.6931472	11	22.16085	"female"	FALSE	TRUE
5	0	FALSE	0	0	TRUE	9.967326	"fair"	8.976113	0.6931472	11	23.16085	"female"	FALSE	TRUE
4	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	45.76865	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	46.76865	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	47.76865	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	10	18.23682	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	10	19.23682	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	10	20.23682	"male"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	16.30116	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	17.30116	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	18.30116	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	17.15537	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	18.15537	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"good"	8.589005	1.386294	13	19.15537	"female"	FALSE	FALSE
2	4.564348	TRUE	3.73767	5.061929	FALSE	6.9	"good"	0.6931472	0	12	39.91787	"male"	FALSE	FALSE
1	4.564348	TRUE	3.73767	5.061929	FALSE	6.9	"good"	0.6931472	0	12	40.91787	"male"	FALSE	FALSE
1	4.564348	TRUE	3.73767	5.061929	FALSE	6.9	"good"	0.6931472	0	12	41.91787	"male"	FALSE	FALSE
1	4.564348	TRUE	3.73767	5.061929	FALSE	6.9	"good"	0.6931472	0	12	42.91787	"male"	FALSE	FALSE
5	4.564348	TRUE	3.73767	5.061929	FALSE	6.9	"good"	0.6931472	0	12	43.91787	"male"	FALSE	FALSE
2	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"good"	6.904057	1.098612	12	26.60643	"male"	FALSE	FALSE
1	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"good"	6.904057	1.098612	12	27.60643	"male"	FALSE	FALSE
3	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"good"	6.904057	1.386294	12	28.60643	"male"	FALSE	FALSE
0	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"good"	6.904057	1.609438	12	29.60643	"male"	FALSE	FALSE
1	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"good"	6.904057	1.609438	12	30.60643	"male"	FALSE	FALSE
1	4.564348	TRUE	5.881984	5.755076	FALSE	9.967326	"good"	2.922909	0.6931472	12	4.021903	"male"	TRUE	FALSE
2	4.564348	TRUE	5.881984	5.755076	FALSE	9.967326	"good"	2.922909	0.6931472	12	6.021903	"male"	TRUE	FALSE
1	4.564348	TRUE	5.881984	5.755076	FALSE	9.967326	"good"	2.922909	1.098612	12	7.021903	"male"	TRUE	FALSE
1	4.564348	TRUE	5.881984	5.755076	FALSE	9.967326	"good"	2.922909	1.098612	12	8.021903	"male"	TRUE	FALSE
0	4.564348	TRUE	5.881984	5.755076	FALSE	17.2	"good"	2.922909	0.6931472	12	22.27789	"female"	FALSE	FALSE
3	4.564348	TRUE	5.881984	5.755076	FALSE	17.2	"good"	2.922909	0.6931472	12	24.27789	"female"	FALSE	FALSE
2	4.564348	TRUE	5.881984	5.755076	FALSE	17.2	"good"	2.922909	1.098612	12	25.27789	"female"	FALSE	FALSE
2	4.564348	TRUE	5.881984	5.755076	FALSE	17.2	"good"	2.922909	1.098612	12	26.27789	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.95001	0	12	21.98768	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.95001	0	12	22.98768	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.95001	0	12	23.98768	"male"	FALSE	FALSE
4	3.258096	FALSE	6.476973	7.863267	FALSE	9.967326	"excellent"	8.982325	1.098612	18	12.79945	"female"	TRUE	FALSE
2	3.258096	FALSE	6.476973	7.863267	FALSE	9.967326	"excellent"	8.982325	1.098612	18	13.79945	"female"	TRUE	FALSE
2	3.258096	FALSE	6.476973	7.863267	FALSE	9.967326	"excellent"	8.982325	1.098612	18	14.79945	"female"	TRUE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	9.967326	"excellent"	8.982325	1.098612	18	8.966461	"female"	TRUE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	9.967326	"excellent"	8.982325	1.098612	18	9.966461	"female"	TRUE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	9.967326	"excellent"	8.982325	1.098612	18	10.96646	"female"	TRUE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	6.9	"excellent"	8.982325	1.098612	18	37.92471	"female"	FALSE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	6.9	"excellent"	8.982325	1.098612	18	38.92471	"female"	FALSE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	6.9	"excellent"	8.982325	1.098612	18	39.92471	"female"	FALSE	FALSE
0	0	FALSE	5.902633	0	FALSE	17.2	"excellent"	9.569376	1.386294	17	36.91992	"female"	FALSE	FALSE
1	0	FALSE	5.902633	0	FALSE	17.2	"excellent"	9.569376	1.386294	17	37.91992	"female"	FALSE	FALSE
4	0	FALSE	5.902633	0	FALSE	17.2	"excellent"	9.569376	1.386294	17	38.91992	"female"	FALSE	FALSE
1	0	FALSE	5.902633	0	FALSE	9.967326	"excellent"	9.569376	1.386294	17	4.610541	"male"	TRUE	FALSE
0	0	FALSE	5.902633	0	FALSE	9.967326	"excellent"	9.569376	1.386294	17	5.610541	"male"	TRUE	FALSE
1	0	FALSE	5.902633	0	FALSE	9.967326	"excellent"	9.569376	1.386294	17	6.610541	"male"	TRUE	FALSE
1	0	FALSE	5.902633	0	FALSE	9.967326	"excellent"	9.569376	1.386294	17	7.750855	"female"	TRUE	FALSE
2	0	FALSE	5.902633	0	FALSE	9.967326	"excellent"	9.569376	1.386294	17	8.750855	"female"	TRUE	FALSE
1	0	FALSE	5.902633	0	FALSE	9.967326	"excellent"	9.569376	1.386294	17	9.750855	"female"	TRUE	FALSE
0	0	FALSE	5.902633	0	FALSE	6.9	"excellent"	9.569376	1.386294	15	34.96783	"male"	FALSE	FALSE
0	0	FALSE	5.902633	0	FALSE	6.9	"excellent"	9.569376	1.386294	15	35.96783	"male"	FALSE	FALSE
0	0	FALSE	5.902633	0	FALSE	6.9	"excellent"	9.569376	1.386294	15	36.96783	"male"	FALSE	FALSE
52	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004978	1.609438	10	4.17796	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004978	1.609438	10	5.17796	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004978	1.609438	10	6.17796	"male"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"fair"	9.004978	1.609438	10	29.32786	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"fair"	9.004978	1.609438	10	30.32786	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"fair"	9.004978	1.609438	10	31.32786	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004978	1.609438	12	30.24504	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004978	1.609438	12	31.24504	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.004978	1.609438	12	32.24504	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.004978	1.609438	10	7.693361	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.004978	1.609438	10	8.69336	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.004978	1.609438	10	9.69336	"female"	TRUE	FALSE
17	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004978	1.609438	10	3.657769	"male"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004978	1.609438	10	4.657769	"male"	TRUE	FALSE
44	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.004978	1.609438	10	5.657769	"male"	TRUE	FALSE
2	0	FALSE	4.718499	0	FALSE	6.9	"good"	9.33759	0.6931472	13	56.91444	"male"	FALSE	FALSE
7	0	FALSE	4.718499	0	FALSE	6.9	"good"	9.33759	0.6931472	13	57.91444	"male"	FALSE	FALSE
3	0	FALSE	4.718499	0	FALSE	6.9	"good"	9.33759	0	13	58.91444	"male"	FALSE	FALSE
7	0	FALSE	4.718499	0	FALSE	20.7	"good"	9.33759	0.6931472	12	54.98973	"female"	FALSE	FALSE
5	0	FALSE	4.718499	0	FALSE	20.7	"good"	9.33759	0.6931472	12	55.98973	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	16.4846	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	17.4846	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	18.4846	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	19.4846	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	19.25257	"male"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	20.25257	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	21.25257	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	22.25257	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	23.25257	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.72687	1.609438	12	43.54826	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.72687	1.609438	12	44.54826	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.72687	1.609438	12	45.54826	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.72687	1.609438	12	46.54826	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.72687	1.609438	12	47.54826	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	43.22245	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	44.22245	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	45.22245	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	46.22245	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.72687	1.609438	11	47.22245	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	15.54825	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	16.54825	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	17.54825	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	18.54825	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.72687	1.609438	12	19.54825	"female"	FALSE	FALSE
2	4.564348	FALSE	6.044199	6.095492	FALSE	6.9	"excellent"	9.034988	1.791759	10	16.43532	"female"	TRUE	TRUE
4	4.564348	FALSE	6.044199	6.095492	FALSE	6.9	"excellent"	9.034988	1.791759	10	17.43532	"female"	TRUE	TRUE
3	4.564348	FALSE	6.044199	6.095492	FALSE	6.9	"excellent"	9.034988	1.791759	10	18.43532	"female"	FALSE	TRUE
3	4.564348	FALSE	6.044199	6.095492	FALSE	6.9	"excellent"	9.034988	1.791759	10	19.43532	"female"	FALSE	TRUE
2	4.564348	FALSE	6.044199	6.095492	FALSE	6.9	"excellent"	9.034988	1.791759	10	20.43532	"female"	FALSE	TRUE
7	4.564348	FALSE	6.044199	6.095492	FALSE	20.7	"excellent"	9.034988	1.791759	10	17.84257	"female"	TRUE	TRUE
10	4.564348	FALSE	6.044199	6.095492	FALSE	20.7	"excellent"	9.034988	1.791759	10	18.84257	"female"	FALSE	TRUE
2	4.564348	FALSE	6.044199	6.095492	FALSE	20.7	"excellent"	9.034988	1.791759	10	19.84257	"female"	FALSE	TRUE
1	4.564348	FALSE	6.044199	6.095492	FALSE	20.7	"excellent"	9.034988	1.791759	10	20.84257	"female"	FALSE	TRUE
4	4.564348	FALSE	6.044199	6.095492	FALSE	20.7	"excellent"	9.034988	1.791759	10	21.84257	"female"	FALSE	TRUE
2	4.564348	FALSE	6.044199	6.095492	TRUE	3.4	"good"	9.034988	1.791759	12	37.39631	"male"	FALSE	TRUE
6	4.564348	FALSE	6.044199	6.095492	TRUE	3.4	"good"	9.034988	1.791759	12	38.39631	"male"	FALSE	TRUE
2	4.564348	FALSE	6.044199	6.095492	TRUE	3.4	"good"	9.034988	1.791759	12	39.39631	"male"	FALSE	TRUE
2	4.564348	FALSE	6.044199	6.095492	TRUE	3.4	"good"	9.034988	1.791759	12	40.39631	"male"	FALSE	TRUE
0	4.564348	FALSE	6.044199	6.095492	TRUE	3.4	"good"	9.034988	1.791759	12	41.39631	"male"	FALSE	TRUE
8	4.564348	FALSE	6.044199	6.095492	FALSE	0	"good"	9.034988	1.791759	10	38.91855	"female"	FALSE	TRUE
4	4.564348	FALSE	6.044199	6.095492	FALSE	0	"good"	9.034988	1.791759	10	39.91855	"female"	FALSE	TRUE
2	4.564348	FALSE	6.044199	6.095492	FALSE	0	"good"	9.034988	1.791759	10	40.91855	"female"	FALSE	TRUE
19	4.564348	FALSE	6.044199	6.095492	FALSE	0	"good"	9.034988	1.791759	10	41.91855	"female"	FALSE	TRUE
8	4.564348	FALSE	6.044199	6.095492	FALSE	0	"good"	9.034988	1.791759	10	42.91855	"female"	FALSE	TRUE
5	4.564348	FALSE	6.044199	6.095492	FALSE	3.4	"excellent"	9.034988	1.791759	10	15.34839	"female"	TRUE	TRUE
5	4.564348	FALSE	6.044199	6.095492	FALSE	3.4	"excellent"	9.034988	1.791759	10	16.34839	"female"	TRUE	TRUE
5	4.564348	FALSE	6.044199	6.095492	FALSE	3.4	"excellent"	9.034988	1.791759	10	17.34839	"female"	TRUE	TRUE
12	4.564348	FALSE	6.044199	6.095492	FALSE	3.4	"excellent"	9.034988	1.791759	10	18.34839	"female"	FALSE	TRUE
2	4.564348	FALSE	6.044199	6.095492	FALSE	3.4	"excellent"	9.034988	1.791759	10	19.34839	"female"	FALSE	TRUE
6	4.564348	FALSE	6.044199	6.095492	FALSE	9.967326	"excellent"	9.034988	1.791759	10	7.682409	"male"	TRUE	TRUE
2	4.564348	FALSE	6.044199	6.095492	FALSE	9.967326	"excellent"	9.034988	1.791759	10	8.682409	"male"	TRUE	TRUE
6	4.564348	FALSE	6.044199	6.095492	FALSE	9.967326	"excellent"	9.034988	1.791759	10	9.682409	"male"	TRUE	TRUE
0	4.564348	FALSE	6.044199	6.095492	FALSE	9.967326	"excellent"	9.034988	1.791759	10	10.68241	"male"	TRUE	TRUE
7	4.564348	FALSE	6.044199	6.095492	FALSE	9.967326	"excellent"	9.034988	1.791759	10	11.68241	"male"	TRUE	TRUE
0	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	8.418485	0.6931472	12	15.46886	"male"	TRUE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	8.418485	0.6931472	12	16.46886	"male"	TRUE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	8.418485	0.6931472	12	17.46886	"male"	TRUE	FALSE
2	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	8.418485	0.6931472	12	37.48939	"female"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	8.418485	0.6931472	12	38.48939	"female"	FALSE	FALSE
2	3.258096	FALSE	6.586172	8.006368	TRUE	10.3	"good"	8.418485	0.6931472	12	39.48939	"female"	FALSE	FALSE
2	3.258096	FALSE	6.371441	7.757735	FALSE	10.3	"good"	8.976113	0	12	18.73785	"male"	FALSE	FALSE
2	3.258096	FALSE	6.371441	7.757735	FALSE	10.3	"good"	8.976113	0	12	19.73785	"male"	FALSE	FALSE
1	3.258096	FALSE	6.371441	7.757735	FALSE	10.3	"good"	8.976113	0	12	20.73785	"male"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	20.7	"good"	9.158998	1.386294	14	47.22792	"male"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	20.7	"good"	9.158998	1.386294	14	48.22792	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	20.7	"good"	9.158998	1.386294	14	49.22792	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.158998	1.386294	16	8.85421	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.158998	1.386294	16	9.85421	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.158998	1.386294	16	10.85421	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	9.158998	1.386294	16	33.45106	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	9.158998	1.386294	16	34.45106	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	9.158998	1.386294	16	35.45106	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.158998	1.386294	16	10.22587	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.158998	1.386294	16	11.22587	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.158998	1.386294	16	12.22587	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.313866	1.791759	12	12.42437	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.313866	1.791759	12	13.42437	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.313866	1.791759	12	14.42437	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.313866	1.791759	12	16.59138	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.313866	1.791759	12	17.59138	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.313866	1.791759	12	18.59138	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.313866	1.791759	12	15.19507	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.313866	1.791759	12	16.19507	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.313866	1.791759	12	17.19507	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.313866	1.791759	12	41.1718	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.313866	1.791759	12	42.1718	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.313866	1.791759	12	43.1718	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.313866	1.791759	12	41.51951	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.313866	1.791759	12	42.51951	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.313866	1.791759	12	43.51951	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.686894	1.386294	12	3.19781	"female"	TRUE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.686894	1.386294	12	4.19781	"female"	TRUE	FALSE
3	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.686894	1.386294	12	5.19781	"female"	TRUE	FALSE
5	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.686894	1.386294	12	1.826146	"female"	TRUE	FALSE
5	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.686894	1.386294	12	2.826146	"female"	TRUE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	9.967326	"excellent"	8.686894	1.386294	12	3.826146	"female"	TRUE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	8.686894	1.386294	12	27.04175	"male"	FALSE	FALSE
3	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	8.686894	1.386294	12	28.04175	"male"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	0	"excellent"	8.686894	1.386294	12	29.04175	"male"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	3.4	"excellent"	8.686894	1.386294	12	25.16906	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"excellent"	8.686894	1.386294	12	26.16906	"female"	FALSE	FALSE
3	4.564348	TRUE	0	6.160541	FALSE	3.4	"excellent"	8.686894	1.386294	12	27.16906	"female"	FALSE	FALSE
0	3.258096	FALSE	6.497152	7.883446	FALSE	0	"excellent"	9.08807	1.098612	16	32.49281	"male"	FALSE	FALSE
0	3.258096	FALSE	6.497152	7.883446	FALSE	0	"excellent"	9.08807	1.098612	16	33.49281	"male"	FALSE	FALSE
3	3.258096	FALSE	6.497152	7.883446	FALSE	0	"excellent"	9.08807	1.098612	16	34.49281	"male"	FALSE	FALSE
0	3.258096	FALSE	6.497152	7.883446	FALSE	6.9	"good"	9.08807	1.098612	16	28.77481	"female"	FALSE	FALSE
2	3.258096	FALSE	6.497152	7.883446	FALSE	6.9	"good"	9.08807	1.098612	16	29.77481	"female"	FALSE	FALSE
0	3.258096	FALSE	6.497152	7.883446	FALSE	6.9	"good"	9.08807	1.098612	16	30.77481	"female"	FALSE	FALSE
2	3.258096	FALSE	6.497152	7.883446	FALSE	9.967326	"excellent"	9.08807	1.098612	16	3.84668	"female"	TRUE	FALSE
3	3.258096	FALSE	6.497152	7.883446	FALSE	9.967326	"excellent"	9.08807	1.098612	16	4.84668	"female"	TRUE	FALSE
2	3.258096	FALSE	6.497152	7.883446	FALSE	9.967326	"excellent"	9.08807	1.098612	16	5.84668	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	3.013319	0	12	22.55168	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	3.013319	0	12	23.55168	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	3.013319	0	12	24.55168	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.72858	1.098612	14	0.8459959	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.72858	1.386294	14	1.845996	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.72858	1.386294	14	2.845996	"male"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.72858	1.098612	14	25.7002	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.72858	1.386294	14	26.7002	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	8.72858	1.386294	14	27.7002	"female"	FALSE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.72858	1.098612	16	27.07461	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.72858	1.386294	16	28.07461	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.72858	1.386294	16	29.07461	"male"	FALSE	FALSE
2	3.258096	FALSE	6.55108	7.937375	TRUE	24.1	"fair"	8.133892	1.098612	12	26.29158	"female"	FALSE	FALSE
1	3.258096	FALSE	6.55108	7.937375	TRUE	24.1	"fair"	8.133892	1.098612	12	27.29158	"female"	FALSE	FALSE
2	3.258096	FALSE	6.55108	7.937375	TRUE	24.1	"fair"	8.133892	1.098612	12	28.29158	"female"	FALSE	FALSE
8	3.258096	FALSE	6.55108	7.937375	FALSE	17.2	"fair"	8.133892	1.098612	7	26.3217	"male"	FALSE	FALSE
3	3.258096	FALSE	6.55108	7.937375	FALSE	17.2	"fair"	8.133892	1.098612	7	27.3217	"male"	FALSE	FALSE
6	3.258096	FALSE	6.55108	7.937375	FALSE	17.2	"fair"	8.133892	1.098612	7	28.3217	"male"	FALSE	FALSE
2	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"excellent"	8.133892	1.098612	12	3.474333	"female"	TRUE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"excellent"	8.133892	1.098612	12	4.474333	"female"	TRUE	FALSE
3	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"excellent"	8.133892	1.098612	12	5.474333	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.235896	1.386294	11	10.99521	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.235896	1.386294	11	11.99521	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	8.235896	1.386294	11	12.99521	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"excellent"	8.235896	1.386294	11	36.56126	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"excellent"	8.235896	1.386294	11	37.56126	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"excellent"	8.235896	1.386294	11	38.56126	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.235896	1.386294	11	13.62628	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.235896	1.386294	11	14.62628	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"good"	8.235896	1.386294	11	15.62628	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.235896	1.386294	11	15.72348	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.235896	1.386294	11	16.72348	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	8.235896	1.386294	11	17.72348	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	0	"excellent"	8.431604	1.098612	11	18.51061	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	0	"excellent"	8.431604	1.098612	11	19.51061	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	8.431604	1.386294	11	20.51061	"female"	FALSE	FALSE
21	0	FALSE	0	0	TRUE	13.8	"excellent"	8.431604	1.098612	12	47.75907	"male"	FALSE	FALSE
23	0	FALSE	0	0	TRUE	13.8	"excellent"	8.431604	1.098612	12	48.75907	"male"	FALSE	FALSE
15	0	FALSE	0	0	TRUE	13.8	"excellent"	8.431604	1.386294	12	49.75907	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.431604	1.098612	12	16.34771	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.431604	1.098612	12	17.34771	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.431604	1.386294	12	18.34771	"male"	FALSE	FALSE
0	4.564348	FALSE	5.955423	5.911367	FALSE	0	"excellent"	7.71804	0	14	29.27036	"male"	FALSE	FALSE
0	4.564348	FALSE	5.955423	5.911367	FALSE	0	"excellent"	7.71804	0	14	30.27036	"male"	FALSE	FALSE
0	4.564348	FALSE	5.955423	5.911367	FALSE	0	"excellent"	7.71804	0	14	31.27036	"male"	FALSE	FALSE
2	4.564348	FALSE	6.882438	6.959049	FALSE	17.2	"good"	9.323444	1.098612	12	42.99521	"male"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	17.2	"good"	9.323444	1.098612	12	43.99521	"male"	FALSE	FALSE
4	4.564348	FALSE	6.882438	6.959049	FALSE	17.2	"good"	9.323444	1.098612	12	44.99521	"male"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	17.2	"good"	9.323444	1.098612	12	45.99521	"male"	FALSE	FALSE
5	4.564348	FALSE	6.882438	6.959049	FALSE	17.2	"good"	9.323444	1.098612	12	46.99521	"male"	FALSE	FALSE
5	4.564348	FALSE	6.882438	6.959049	TRUE	34.5	"good"	9.323444	1.098612	12	41.14442	"female"	FALSE	FALSE
4	4.564348	FALSE	6.882438	6.959049	TRUE	34.5	"good"	9.323444	1.098612	12	42.14442	"female"	FALSE	FALSE
5	4.564348	FALSE	6.882438	6.959049	TRUE	34.5	"good"	9.323444	1.098612	12	43.14442	"female"	FALSE	FALSE
4	4.564348	FALSE	6.882438	6.959049	TRUE	34.5	"good"	9.323444	1.098612	12	44.14442	"female"	FALSE	FALSE
11	4.564348	FALSE	6.882438	6.959049	TRUE	34.5	"good"	9.323444	1.098612	12	45.14442	"female"	FALSE	FALSE
1	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"good"	9.323444	1.098612	12	6.428473	"female"	TRUE	FALSE
3	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"good"	9.323444	1.098612	12	7.428473	"female"	TRUE	FALSE
4	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"good"	9.323444	1.098612	12	8.428473	"female"	TRUE	FALSE
4	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"good"	9.323444	1.098612	12	9.428473	"female"	TRUE	FALSE
1	4.564348	FALSE	6.882438	6.959049	FALSE	9.967326	"good"	9.323444	1.098612	12	10.42847	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"good"	9.256961	1.386294	18	10.423	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"good"	9.256961	1.386294	18	11.423	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"good"	9.256961	1.386294	18	12.423	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"good"	9.256961	1.386294	18	13.423	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	9.967326	"good"	9.256961	1.386294	18	14.423	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.256961	1.386294	12	36.78576	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.256961	1.386294	12	37.78576	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.256961	1.386294	12	38.78576	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.256961	1.386294	12	39.78576	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.256961	1.386294	12	40.78576	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.256961	1.386294	18	33.79877	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.256961	1.386294	18	34.79877	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.256961	1.386294	18	35.79877	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.256961	1.386294	18	36.79877	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.256961	1.386294	18	37.79877	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.256961	1.386294	18	8.741958	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.256961	1.386294	18	9.741958	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.256961	1.386294	18	10.74196	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.256961	1.386294	18	11.74196	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.256961	1.386294	18	12.74196	"female"	TRUE	FALSE
1	3.258096	FALSE	6.842769	8.006368	FALSE	13.8	"good"	9.456591	1.386294	12	33.89733	"male"	FALSE	FALSE
2	3.258096	FALSE	6.842769	8.006368	FALSE	13.8	"good"	9.456591	1.386294	12	34.89733	"male"	FALSE	FALSE
2	3.258096	FALSE	6.842769	8.006368	FALSE	13.8	"good"	9.456591	1.386294	12	35.89733	"male"	FALSE	FALSE
2	3.258096	FALSE	6.842769	8.006368	FALSE	9.967326	"excellent"	9.456591	1.386294	16	5.21013	"male"	TRUE	FALSE
0	3.258096	FALSE	6.842769	8.006368	FALSE	9.967326	"excellent"	9.456591	1.386294	16	6.21013	"male"	TRUE	FALSE
0	3.258096	FALSE	6.842769	8.006368	FALSE	9.967326	"excellent"	9.456591	1.386294	16	7.21013	"male"	TRUE	FALSE
0	3.258096	FALSE	6.842769	8.006368	FALSE	9.967326	"excellent"	9.456591	1.386294	16	7.268994	"female"	TRUE	FALSE
2	3.258096	FALSE	6.842769	8.006368	FALSE	9.967326	"excellent"	9.456591	1.386294	16	8.268993	"female"	TRUE	FALSE
2	3.258096	FALSE	6.842769	8.006368	FALSE	9.967326	"excellent"	9.456591	1.386294	16	9.268993	"female"	TRUE	FALSE
0	3.258096	FALSE	6.842769	8.006368	FALSE	0	"excellent"	9.456591	1.386294	16	33.67009	"female"	FALSE	FALSE
2	3.258096	FALSE	6.842769	8.006368	FALSE	0	"excellent"	9.456591	1.386294	16	34.67009	"female"	FALSE	FALSE
2	3.258096	FALSE	6.842769	8.006368	FALSE	0	"excellent"	9.456591	1.386294	16	35.67009	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	31	"fair"	8.053473	0.6931472	14	26.29706	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	31	"fair"	8.053473	0.6931472	14	27.29706	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	31	"fair"	8.053473	0.6931472	14	28.29706	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	20.7	"fair"	8.053473	0.6931472	12	27.17317	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	20.7	"fair"	8.053473	0.6931472	12	28.17317	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	20.7	"fair"	8.053473	0.6931472	12	29.17317	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	13.8	"excellent"	9.458607	1.791759	13	14.5681	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	13.8	"excellent"	9.458607	1.791759	13	15.5681	"female"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	13.8	"excellent"	9.458607	1.791759	13	16.5681	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.458607	1.791759	13	9.445585	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.458607	1.791759	13	10.44559	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.458607	1.791759	13	11.44559	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.458607	1.791759	18	38.54346	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.458607	1.791759	18	39.54346	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.458607	1.791759	18	40.54346	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.458607	1.791759	13	11.42231	"female"	TRUE	FALSE
9	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.458607	1.791759	13	12.42231	"female"	TRUE	FALSE
9	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.458607	1.791759	13	13.42231	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.458607	1.791759	13	37.21013	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.458607	1.791759	13	38.21013	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.458607	1.791759	13	39.21013	"female"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	9.458607	1.791759	13	15.87406	"male"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	9.458607	1.791759	13	16.87406	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	9.458607	1.791759	13	17.87406	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.328251	0.6931472	16	43.26899	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.328251	0.6931472	16	44.26899	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.328251	0.6931472	16	45.26899	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.328251	0.6931472	16	46.26899	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.328251	0.6931472	16	47.26899	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.328251	0.6931472	12	57.79055	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.328251	0.6931472	12	58.79055	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.328251	0.6931472	12	59.79055	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.328251	0.6931472	12	60.79055	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	9.328251	0.6931472	12	61.79055	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	4.799452	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	5.799452	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	6.799452	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	7.799452	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	8.799453	"male"	TRUE	FALSE
18	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.976113	1.609438	12	28.87064	"male"	FALSE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.976113	1.609438	12	29.87064	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.976113	1.609438	12	30.87064	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.976113	1.609438	12	31.87064	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.976113	1.609438	12	32.87064	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	6.658453	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	7.658453	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	8.658453	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	9.658453	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	10.65845	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	0.8514716	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	1.851472	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	2.851472	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	3.851472	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	13	4.851471	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	41.4	"excellent"	8.976113	1.609438	13	28.00274	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	41.4	"excellent"	8.976113	1.609438	13	29.00274	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	41.4	"excellent"	8.976113	1.609438	13	30.00274	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	41.4	"excellent"	8.976113	1.609438	13	31.00274	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	41.4	"excellent"	8.976113	1.609438	13	32.00274	"female"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.177654	1.098612	14	34.39014	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.177654	1.098612	14	35.39014	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.177654	1.098612	14	36.39014	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.177654	1.098612	16	7.534565	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.177654	1.098612	16	8.534565	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.177654	1.098612	16	9.534565	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	9.177654	1.098612	16	33.00479	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	9.177654	1.098612	16	34.00479	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	9.177654	1.098612	16	35.00479	"female"	FALSE	FALSE
7	3.258096	FALSE	6.586172	8.006368	FALSE	20.7	"good"	9.066294	1.098612	12	44.20534	"female"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	20.7	"good"	9.066294	1.098612	12	45.20534	"female"	FALSE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	20.7	"good"	9.066294	1.098612	12	46.20534	"female"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"good"	9.066294	1.098612	12	19.07187	"female"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"good"	9.066294	1.098612	12	20.07187	"female"	FALSE	FALSE
1	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"good"	9.066294	1.098612	12	21.07187	"female"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"good"	9.066294	1.098612	8	56.71184	"male"	FALSE	FALSE
3	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"good"	9.066294	1.098612	8	57.71184	"male"	FALSE	FALSE
14	3.258096	FALSE	6.586172	8.006368	FALSE	13.8	"good"	9.066294	1.098612	8	58.71184	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.390347	1.386294	13	15.00068	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.390347	1.386294	13	16.00068	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.390347	1.386294	13	17.00068	"female"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.390347	1.386294	13	44.94182	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.390347	1.386294	13	45.94182	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	9.390347	1.386294	13	46.94182	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.390347	1.386294	10	19.44969	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.390347	1.386294	10	20.44969	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.390347	1.386294	10	21.44969	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.390347	1.386294	13	44.0575	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.390347	1.386294	13	45.0575	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.390347	1.386294	13	46.0575	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.830758	1.386294	16	9.538672	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.830758	1.386294	16	10.53867	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.830758	1.386294	16	11.53867	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.830758	1.386294	16	5.270363	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.830758	1.386294	16	6.270363	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.830758	1.386294	16	7.270363	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.830758	1.386294	16	37.07871	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.830758	1.386294	16	38.07871	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	8.830758	1.386294	16	39.07871	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	8.830758	1.386294	16	38.89938	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	0	"excellent"	8.830758	1.386294	16	39.89938	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	0	"excellent"	8.830758	1.386294	16	40.89938	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.236207	1.098612	14	5.24846	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.236207	1.098612	14	6.24846	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.236207	1.098612	14	7.24846	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.236207	1.098612	16	38.75702	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.236207	1.098612	16	39.75702	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.236207	1.098612	16	40.75702	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	8.236207	1.098612	14	32.70636	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	8.236207	1.098612	14	33.70636	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.236207	1.098612	14	34.70636	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.369858	0.6931472	12	30.36824	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.369858	0.6931472	12	31.36824	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.369858	0.6931472	12	32.36824	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.369858	0.6931472	12	26.65298	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.369858	0.6931472	12	27.65298	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.369858	0.6931472	12	28.65298	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	34.5	"good"	6.818687	0	16	27.10746	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	34.5	"good"	6.818687	0	16	28.10746	"female"	FALSE	FALSE
44	0	FALSE	0	0	TRUE	34.5	"good"	6.818687	0	16	29.10746	"female"	FALSE	FALSE
76	0	FALSE	0	0	TRUE	34.5	"good"	6.818687	0	16	30.10746	"female"	FALSE	FALSE
77	0	FALSE	0	0	TRUE	34.5	"good"	6.818687	0	16	31.10746	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	17.2	"excellent"	6.153176	0	16	26.99795	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	17.2	"excellent"	6.153176	0	16	27.99795	"male"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	17.2	"excellent"	6.153176	0	16	28.99795	"male"	FALSE	FALSE
25	0	FALSE	0	0	TRUE	17.2	"excellent"	6.153176	0	16	29.99795	"male"	FALSE	FALSE
12	0	FALSE	0	0	TRUE	17.2	"excellent"	6.153176	0	16	30.99795	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.592491	1.609438	12	37.2512	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.592491	1.609438	12	38.2512	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.592491	1.609438	12	39.2512	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	11.54004	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	12.54004	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	13.54004	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	3.542779	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	4.542779	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	5.542779	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.592491	1.609438	12	33.58522	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.592491	1.609438	12	34.58522	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.592491	1.609438	12	35.58522	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	8.799453	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	9.799453	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	8.592491	1.609438	12	10.79945	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	7.898659	0	11	50.02053	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	7.898659	0	11	51.02053	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"good"	7.898659	0	11	52.02053	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	7.898659	0	11	53.02053	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"good"	7.898659	0	11	54.02053	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.738783	0	16	28.94182	"male"	FALSE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.738783	0	16	29.94182	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.738783	0	16	30.94182	"male"	FALSE	FALSE
18	3.258096	FALSE	6.802395	8.188689	FALSE	27.6	"excellent"	8.443796	0	12	24.70637	"male"	FALSE	FALSE
0	3.258096	FALSE	6.802395	8.188689	FALSE	27.6	"excellent"	8.443796	0	12	25.70637	"male"	FALSE	FALSE
0	3.258096	FALSE	6.802395	8.188689	FALSE	27.6	"excellent"	8.443796	0	12	26.70637	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.973073	1.098612	12	5.423682	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.973073	1.098612	12	6.423682	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.973073	1.098612	12	7.423682	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.973073	1.098612	12	8.423682	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.973073	1.098612	12	9.423682	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	8.973073	1.098612	12	24.84873	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.973073	1.098612	12	25.84873	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"good"	8.973073	1.098612	12	26.84873	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	8.973073	1.098612	12	27.84873	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"good"	8.973073	1.098612	12	28.84873	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.973073	1.098612	12	27.09925	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.973073	1.098612	12	28.09925	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.973073	1.098612	12	29.09925	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.973073	1.098612	12	30.09925	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.973073	1.098612	12	31.09925	"male"	FALSE	FALSE
4	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.858225	0	16	24.86516	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.858225	0	16	25.86516	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.858225	0	16	26.86516	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.858225	0	16	27.86516	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.858225	0	16	28.86516	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.117267	1.386294	13	31.06366	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.117267	1.386294	13	32.06366	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.117267	1.386294	13	33.06366	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.117267	1.386294	12	2.190281	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.117267	1.386294	12	3.190281	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.117267	1.386294	12	4.19028	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.117267	1.386294	12	25.91923	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.117267	1.386294	12	26.91923	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.117267	1.386294	12	27.91923	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.117267	1.386294	12	6.310746	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.117267	1.386294	12	7.310746	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.117267	1.386294	12	8.310746	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.384402	1.609438	12	12.79945	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.384402	1.609438	12	13.79945	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.384402	1.609438	12	14.79945	"female"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.384402	1.609438	12	17.57153	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.384402	1.609438	12	18.57153	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.384402	1.609438	12	19.57153	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.384402	1.609438	11	18.44216	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.384402	1.609438	11	19.44216	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.384402	1.609438	11	20.44216	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	20.7	"good"	9.384402	1.609438	12	42.67214	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	20.7	"good"	9.384402	1.609438	12	43.67214	"female"	FALSE	FALSE
9	3.931826	FALSE	6.907755	7.600903	TRUE	20.7	"good"	9.384402	1.609438	12	44.67214	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.384402	1.609438	12	46.39014	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.384402	1.609438	12	47.39014	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.384402	1.609438	12	48.39014	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"good"	9.432461	1.386294	12	32.31211	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"good"	9.432461	1.386294	12	33.31211	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"good"	9.432461	1.386294	12	34.31211	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"good"	9.432461	1.386294	12	35.31211	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"good"	9.432461	1.386294	12	36.31211	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	7.307324	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	8.307323	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	9.307323	"male"	TRUE	FALSE
13	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	10.30732	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	11.30732	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.432461	1.386294	15	36.564	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.432461	1.386294	15	37.564	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.432461	1.386294	15	38.564	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.432461	1.386294	15	39.564	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.432461	1.386294	15	40.564	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	9.722108	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	10.72211	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	11.72211	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	12.72211	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.432461	1.386294	15	13.72211	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.976113	1.386294	12	37.01848	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.976113	1.386294	12	38.01848	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.976113	1.386294	12	39.01848	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.976113	1.386294	12	17.1718	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.976113	1.386294	12	18.1718	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.976113	1.386294	12	19.1718	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	6.809035	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	7.809035	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	8.976113	1.386294	12	8.809035	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.976113	1.386294	12	14.60096	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.976113	1.386294	12	15.60096	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.976113	1.386294	12	16.60096	"female"	TRUE	FALSE
0	4.564348	TRUE	5.711089	5.061929	FALSE	10.3	"good"	7.943786	0	14	25.03765	"female"	FALSE	FALSE
0	4.564348	TRUE	5.711089	5.061929	FALSE	10.3	"good"	7.943786	0	14	26.03765	"female"	FALSE	FALSE
2	4.564348	TRUE	5.711089	5.061929	FALSE	10.3	"good"	7.943786	0	14	27.03765	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	31	"good"	7.452159	0	18	52.73648	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	31	"good"	7.452159	0	18	53.73648	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	31	"good"	7.452159	0	18	54.73648	"female"	FALSE	FALSE
2	0	FALSE	5.015954	0	FALSE	13.8	"excellent"	8.47499	0	12	21.34155	"male"	FALSE	FALSE
0	0	FALSE	5.015954	0	FALSE	13.8	"excellent"	8.47499	0	12	22.34155	"male"	FALSE	FALSE
0	0	FALSE	5.015954	0	FALSE	13.8	"excellent"	8.47499	0	12	23.34155	"male"	FALSE	FALSE
8	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"fair"	9.095664	0.6931472	16	28.38056	"female"	FALSE	FALSE
10	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"fair"	9.095664	0.6931472	16	29.38056	"female"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"fair"	9.095664	0.6931472	16	30.38056	"female"	FALSE	FALSE
9	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"fair"	9.095664	0.6931472	16	31.38056	"female"	FALSE	FALSE
9	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"fair"	9.095664	0.6931472	16	32.38056	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.095664	0.6931472	16	28.43806	"male"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.095664	0.6931472	16	29.43806	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.095664	0.6931472	16	30.43806	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.095664	0.6931472	16	31.43806	"male"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.095664	0.6931472	16	32.43806	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.224301	1.386294	12	43.61396	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.224301	1.386294	12	44.61396	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.224301	1.386294	12	45.61396	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.224301	1.386294	12	44.05476	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.224301	1.386294	12	45.05476	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.224301	1.386294	12	46.05476	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.224301	1.386294	12	12.49008	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.224301	1.386294	12	13.49008	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"good"	9.224301	1.386294	12	14.49008	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.224301	1.386294	13	20.53662	"female"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.224301	1.386294	13	21.53662	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.224301	1.386294	13	22.53662	"female"	FALSE	FALSE
5	4.564348	TRUE	5.855989	5.061929	FALSE	3.4	"excellent"	7.612769	0	14	21.9603	"female"	FALSE	FALSE
9	4.564348	TRUE	5.855989	5.061929	FALSE	3.4	"excellent"	7.612769	0	14	22.9603	"female"	FALSE	FALSE
11	4.564348	TRUE	5.855989	5.061929	FALSE	3.4	"excellent"	7.612769	0	14	23.9603	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	13.9384	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	14.9384	"female"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	15.9384	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.011439	1.609438	12	34.19302	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.011439	1.609438	12	35.19302	"male"	FALSE	FALSE
17	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.011439	1.609438	12	36.19302	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	11.42779	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	12.42779	"female"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	13.42779	"female"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.011439	1.609438	10	30.48871	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.011439	1.609438	10	31.48871	"female"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.011439	1.609438	10	32.4887	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	12.45175	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	13.45175	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"good"	9.011439	1.609438	10	14.45175	"male"	TRUE	FALSE
3	4.564348	FALSE	2.890372	2.941665	FALSE	9.967326	"excellent"	7.812058	0.6931472	13	4.544832	"female"	TRUE	FALSE
0	4.564348	FALSE	2.890372	2.941665	FALSE	9.967326	"excellent"	7.812058	0.6931472	13	5.544832	"female"	TRUE	FALSE
1	4.564348	FALSE	2.890372	2.941665	FALSE	9.967326	"excellent"	7.812058	0.6931472	13	6.544832	"female"	TRUE	FALSE
6	4.564348	FALSE	2.890372	2.941665	FALSE	20.7	"good"	7.812058	0.6931472	13	27.09103	"female"	FALSE	FALSE
2	4.564348	FALSE	2.890372	2.941665	FALSE	20.7	"good"	7.812058	0.6931472	13	28.09103	"female"	FALSE	FALSE
1	4.564348	FALSE	2.890372	2.941665	FALSE	20.7	"good"	7.812058	0.6931472	13	29.09103	"female"	FALSE	FALSE
4	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"fair"	9.065955	1.098612	12	4.120465	"male"	TRUE	FALSE
3	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"fair"	9.065955	1.098612	12	5.120465	"male"	TRUE	FALSE
2	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"fair"	9.065955	1.098612	12	6.120465	"male"	TRUE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"fair"	9.065955	1.098612	12	7.120465	"male"	TRUE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	9.967326	"fair"	9.065955	1.098612	12	8.120465	"male"	TRUE	FALSE
14	3.258096	FALSE	6.55108	7.937375	FALSE	24.1	"fair"	9.065955	1.098612	12	32.81862	"female"	FALSE	FALSE
13	3.258096	FALSE	6.55108	7.937375	FALSE	24.1	"fair"	9.065955	1.098612	12	33.81862	"female"	FALSE	FALSE
4	3.258096	FALSE	6.55108	7.937375	FALSE	24.1	"fair"	9.065955	1.098612	12	34.81862	"female"	FALSE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	24.1	"fair"	9.065955	1.098612	12	35.81862	"female"	FALSE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	24.1	"fair"	9.065955	1.098612	12	36.81862	"female"	FALSE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	6.9	"good"	9.065955	1.098612	13	36.49829	"male"	FALSE	FALSE
2	3.258096	FALSE	6.55108	7.937375	FALSE	6.9	"good"	9.065955	1.098612	13	37.49829	"male"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	6.9	"good"	9.065955	1.098612	13	38.49829	"male"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	6.9	"good"	9.065955	1.098612	13	39.49829	"male"	FALSE	FALSE
1	3.258096	FALSE	6.55108	7.937375	FALSE	6.9	"good"	9.065955	1.098612	13	40.49829	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.429591	1.609438	13	31.63587	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.429591	1.609438	13	32.63586	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.429591	1.609438	13	33.63586	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.429591	1.609438	16	31.28816	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.429591	1.609438	16	32.28816	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.429591	1.609438	16	33.28816	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	4.503765	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	5.503765	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	6.503765	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	6.49692	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	7.49692	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	8.49692	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	9.738535	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	10.73853	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.429591	1.609438	16	11.73853	"male"	TRUE	FALSE
3	4.564348	FALSE	0	5.755076	FALSE	10.3	"excellent"	5.462153	0	12	23.63039	"female"	FALSE	FALSE
0	4.564348	FALSE	0	5.755076	FALSE	10.3	"excellent"	5.462153	0	12	24.63039	"female"	FALSE	FALSE
2	4.564348	TRUE	6.052089	6.160541	FALSE	3.4	"good"	9.027341	1.386294	12	34.10267	"male"	FALSE	FALSE
2	4.564348	TRUE	6.052089	6.160541	FALSE	3.4	"good"	9.027341	1.386294	12	35.10267	"male"	FALSE	FALSE
2	4.564348	TRUE	6.052089	6.160541	FALSE	3.4	"good"	9.027341	1.386294	12	36.10267	"male"	FALSE	FALSE
2	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	9.027341	1.386294	12	9.702943	"male"	TRUE	FALSE
1	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	9.027341	1.386294	12	10.70294	"male"	TRUE	FALSE
1	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	9.027341	1.386294	12	11.70294	"male"	TRUE	FALSE
2	4.564348	TRUE	6.052089	6.160541	FALSE	13.8	"excellent"	9.027341	1.386294	12	34.37372	"female"	FALSE	FALSE
2	4.564348	TRUE	6.052089	6.160541	FALSE	13.8	"excellent"	9.027341	1.386294	12	35.37372	"female"	FALSE	FALSE
1	4.564348	TRUE	6.052089	6.160541	FALSE	13.8	"excellent"	9.027341	1.386294	12	36.37372	"female"	FALSE	FALSE
1	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	9.027341	1.386294	12	6.954141	"female"	TRUE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	9.027341	1.386294	12	7.954141	"female"	TRUE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	9.027341	1.386294	12	8.954141	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.014011	1.098612	9	15.69062	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.014011	1.098612	9	16.69062	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.014011	1.098612	9	17.69062	"female"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.014011	1.098612	9	53.02122	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.014011	1.098612	9	54.02122	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.014011	1.098612	9	55.02122	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.014011	1.098612	9	54.99247	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.014011	1.098612	9	55.99247	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.014011	1.098612	9	56.99247	"male"	FALSE	FALSE
6	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	7.957839	0	12	59.66325	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	7.957839	0	12	60.66325	"female"	FALSE	FALSE
6	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	7.957839	0	12	61.66325	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.374954	1.098612	12	5.355236	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.374954	1.098612	12	6.355236	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.374954	1.386294	12	7.355236	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.374954	1.098612	12	7.876797	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.374954	1.098612	12	8.876797	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.374954	1.386294	12	9.876797	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	8.374954	1.098612	12	27.17591	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.374954	1.098612	12	28.17591	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	8.374954	1.386294	12	29.17591	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"excellent"	7.473371	0	11	23.84668	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	7.473371	0	11	24.84668	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	0	"excellent"	7.473371	0	11	25.84668	"male"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	0	"excellent"	8.440763	2.079442	12	17.41821	"male"	TRUE	FALSE
4	0	FALSE	6.200184	0	FALSE	0	"excellent"	8.440763	2.079442	12	18.41821	"male"	FALSE	FALSE
5	0	FALSE	6.200184	0	FALSE	0	"excellent"	8.440763	1.94591	12	19.41821	"male"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	6.9	"good"	8.440763	2.079442	12	43.73717	"male"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	6.9	"good"	8.440763	2.079442	12	44.73717	"male"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	6.9	"good"	8.440763	1.94591	12	45.73717	"male"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	0	"excellent"	8.440763	2.079442	12	16.07666	"male"	TRUE	FALSE
1	0	FALSE	6.200184	0	FALSE	0	"excellent"	8.440763	2.079442	12	17.07666	"male"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	13.8	"good"	8.440763	2.079442	12	39.65777	"female"	FALSE	FALSE
2	0	FALSE	6.200184	0	FALSE	13.8	"good"	8.440763	2.079442	12	40.65777	"female"	FALSE	FALSE
3	0	FALSE	6.200184	0	FALSE	13.8	"good"	8.440763	1.94591	12	41.65777	"female"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	2.079442	12	10.98152	"male"	TRUE	FALSE
2	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	2.079442	12	11.98152	"male"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	1.94591	12	12.98152	"male"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	2.079442	12	6.721424	"female"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	2.079442	12	7.721424	"female"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	1.94591	12	8.721424	"female"	TRUE	FALSE
1	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	2.079442	12	4.405202	"female"	TRUE	FALSE
0	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	2.079442	12	5.405202	"female"	TRUE	FALSE
1	0	FALSE	6.200184	0	FALSE	9.967326	"excellent"	8.440763	1.94591	12	6.405202	"female"	TRUE	FALSE
1	0	FALSE	6.200184	0	FALSE	6.9	"excellent"	8.440763	2.079442	11	18.45859	"female"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	6.9	"excellent"	8.440763	2.079442	11	19.45859	"female"	FALSE	FALSE
0	0	FALSE	6.200184	0	FALSE	6.9	"excellent"	8.440763	1.94591	11	20.45859	"female"	FALSE	FALSE
3	4.564348	TRUE	5.352806	5.061929	FALSE	10.3	"excellent"	9.001587	0	12	56.94456	"female"	FALSE	FALSE
0	4.564348	TRUE	5.352806	5.061929	FALSE	10.3	"excellent"	9.001587	0	12	58.94456	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.501025	1.791759	9	3.310062	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.501025	1.791759	9	4.310061	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.501025	1.791759	9	5.310061	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.501025	1.791759	9	15.66598	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.501025	1.791759	9	16.66598	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.501025	1.791759	9	17.66598	"male"	TRUE	FALSE
25	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.501025	1.791759	9	13.27036	"male"	TRUE	FALSE
10	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.501025	1.791759	9	14.27036	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.501025	1.791759	9	15.27036	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.501025	1.791759	12	37.24846	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.501025	1.791759	12	38.24846	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.501025	1.791759	12	39.24846	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.501025	1.791759	9	14.77618	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.501025	1.791759	9	15.77618	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.501025	1.791759	9	16.77618	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	31	"fair"	9.501025	1.791759	9	33.97399	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	31	"fair"	9.501025	1.791759	9	34.97399	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	31	"fair"	9.501025	1.791759	9	35.97399	"female"	FALSE	FALSE
4	0	FALSE	5.154216	0	FALSE	9.967326	"excellent"	8.898213	1.098612	18	2.045175	"female"	TRUE	FALSE
7	0	FALSE	5.154216	0	FALSE	9.967326	"excellent"	8.898213	1.098612	18	3.045175	"female"	TRUE	FALSE
4	0	FALSE	5.154216	0	FALSE	9.967326	"excellent"	8.898213	1.098612	18	4.045175	"female"	TRUE	FALSE
7	0	FALSE	5.154216	0	FALSE	17.2	"good"	8.898213	1.098612	18	25.13073	"female"	FALSE	FALSE
19	0	FALSE	5.154216	0	FALSE	17.2	"good"	8.898213	1.098612	18	26.13073	"female"	FALSE	FALSE
6	0	FALSE	5.154216	0	FALSE	17.2	"good"	8.898213	1.098612	18	27.13073	"female"	FALSE	FALSE
0	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	8.898213	1.098612	16	27.4579	"male"	FALSE	FALSE
0	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	8.898213	1.098612	16	28.4579	"male"	FALSE	FALSE
1	0	FALSE	5.154216	0	FALSE	3.4	"excellent"	8.898213	1.098612	16	29.4579	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.870012	0	15	55.98083	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.870012	0	15	56.98083	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.870012	0	15	57.98083	"female"	FALSE	FALSE
3	3.258096	FALSE	6.109248	8.006368	TRUE	10.3	"excellent"	8.623133	0	12	24.65435	"male"	FALSE	FALSE
8	3.258096	FALSE	6.109248	8.006368	TRUE	10.3	"excellent"	8.623133	0	12	25.65435	"male"	FALSE	FALSE
0	3.258096	FALSE	6.109248	8.006368	TRUE	10.3	"excellent"	8.623133	0	12	26.65435	"male"	FALSE	FALSE
3	4.564348	FALSE	6.684612	6.735905	FALSE	3.4	"excellent"	7.964997	1.609438	9	16.68446	"male"	TRUE	FALSE
3	4.564348	FALSE	6.684612	6.735905	FALSE	3.4	"excellent"	7.964997	1.609438	9	17.68446	"male"	TRUE	FALSE
9	4.564348	FALSE	6.684612	6.735905	FALSE	9.967326	"fair"	7.964997	1.609438	9	13.40178	"male"	TRUE	FALSE
2	4.564348	FALSE	6.684612	6.735905	FALSE	9.967326	"fair"	7.964997	1.609438	9	14.40178	"male"	TRUE	FALSE
0	4.564348	FALSE	6.684612	6.735905	FALSE	9.967326	"fair"	7.964997	1.386294	9	15.40178	"male"	TRUE	FALSE
2	4.564348	FALSE	6.684612	6.735905	FALSE	17.2	"excellent"	7.964997	1.609438	9	36.60506	"female"	FALSE	FALSE
1	4.564348	FALSE	6.684612	6.735905	FALSE	17.2	"excellent"	7.964997	1.609438	9	37.60506	"female"	FALSE	FALSE
1	4.564348	FALSE	6.684612	6.735905	FALSE	17.2	"excellent"	7.964997	1.386294	9	38.60506	"female"	FALSE	FALSE
0	4.564348	FALSE	6.684612	6.735905	FALSE	9.967326	"excellent"	7.964997	1.609438	9	12.0794	"female"	TRUE	FALSE
0	4.564348	FALSE	6.684612	6.735905	FALSE	9.967326	"excellent"	7.964997	1.609438	9	13.0794	"female"	TRUE	FALSE
0	4.564348	FALSE	6.684612	6.735905	FALSE	9.967326	"excellent"	7.964997	1.386294	9	14.0794	"female"	TRUE	FALSE
3	4.564348	FALSE	6.684612	6.735905	FALSE	13.8	"excellent"	7.964997	1.609438	9	15.17043	"male"	TRUE	FALSE
2	4.564348	FALSE	6.684612	6.735905	FALSE	13.8	"excellent"	7.964997	1.609438	9	16.17043	"male"	TRUE	FALSE
1	4.564348	FALSE	6.684612	6.735905	FALSE	13.8	"excellent"	7.964997	1.386294	9	17.17043	"male"	TRUE	FALSE
2	4.564348	FALSE	5.521461	5.572754	FALSE	0	"excellent"	7.754644	0	12	20.33128	"male"	FALSE	FALSE
0	4.564348	FALSE	5.521461	5.572754	FALSE	0	"excellent"	7.754644	0	12	21.33128	"male"	FALSE	FALSE
0	4.564348	FALSE	5.521461	5.572754	FALSE	0	"excellent"	7.754644	0.6931472	12	22.33128	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.983282	1.098612	12	9.48939	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.983282	1.098612	12	10.48939	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.983282	1.098612	12	11.48939	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.983282	1.098612	12	51.82478	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.983282	1.098612	12	52.82478	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.983282	1.098612	12	53.82478	"male"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"good"	8.983282	1.098612	12	38.16564	"female"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"good"	8.983282	1.098612	12	39.16564	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"good"	8.983282	1.098612	12	40.16564	"female"	FALSE	FALSE
2	3.931826	FALSE	6.620073	7.313221	FALSE	6.9	"excellent"	7.44875	0	17	31.05544	"female"	FALSE	FALSE
1	3.931826	FALSE	6.620073	7.313221	FALSE	6.9	"excellent"	7.44875	0	17	32.05544	"female"	FALSE	FALSE
3	3.931826	FALSE	6.620073	7.313221	FALSE	6.9	"excellent"	7.44875	0	17	33.05544	"female"	FALSE	FALSE
1	3.931826	FALSE	6.620073	7.313221	FALSE	6.9	"excellent"	7.44875	0	17	34.05544	"female"	FALSE	FALSE
3	3.931826	FALSE	6.620073	7.313221	FALSE	6.9	"excellent"	7.44875	0	17	35.05544	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	7.750865	1.386294	10	27.72348	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	7.750865	1.386294	10	28.72348	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	7.750865	1.386294	10	29.72348	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	7.750865	1.386294	10	30.72348	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	7.750865	1.386294	10	31.72348	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.750865	1.386294	10	9.182752	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.750865	1.386294	10	10.18275	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.750865	1.386294	10	11.18275	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.750865	1.386294	10	12.18275	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	7.750865	1.386294	10	13.18275	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	3.474333	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	4.474333	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	5.474333	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	6.474333	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	7.474333	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	6.677618	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	7.677618	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	8.677618	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	9.677618	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"good"	7.750865	1.386294	10	10.67762	"male"	TRUE	FALSE
4	4.564348	TRUE	5.010635	5.061929	TRUE	0	"good"	8.423264	0	16	26.16838	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	TRUE	0	"good"	8.423264	0	16	27.16838	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	TRUE	0	"good"	8.423264	0	16	28.16838	"male"	FALSE	FALSE
0	4.564348	TRUE	5.352806	5.061929	TRUE	10.3	"excellent"	7.998261	0	17	26.72142	"male"	FALSE	FALSE
1	4.564348	TRUE	5.352806	5.061929	TRUE	10.3	"excellent"	7.998261	0	17	27.72142	"male"	FALSE	FALSE
0	4.564348	TRUE	5.352806	5.061929	TRUE	10.3	"excellent"	7.998261	0	17	28.72142	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	8.912061	0.6931472	16	7.263518	"female"	TRUE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	8.912061	0.6931472	16	8.263518	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	9.967326	"excellent"	8.912061	0.6931472	16	9.263518	"female"	TRUE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	34.5	"good"	8.912061	0.6931472	16	50.47502	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	34.5	"good"	8.912061	0.6931472	16	51.47502	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	34.5	"good"	8.912061	0.6931472	16	52.47502	"female"	FALSE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	9.278576	"male"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	10.27858	"male"	TRUE	FALSE
2	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	11.27858	"male"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	12.27858	"male"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	13.27858	"male"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	11.44695	"female"	TRUE	FALSE
2	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	12.44695	"female"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	13.44695	"female"	TRUE	FALSE
3	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	14.44695	"female"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	15.44695	"female"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	6.182067	"female"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	7.182067	"female"	TRUE	FALSE
3	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	8.182067	"female"	TRUE	FALSE
1	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	9.182067	"female"	TRUE	FALSE
0	0	FALSE	6.468878	0	FALSE	9.967326	"excellent"	8.00082	1.609438	12	10.18207	"female"	TRUE	FALSE
2	0	FALSE	6.468878	0	FALSE	17.2	"good"	8.00082	1.609438	12	33.65366	"female"	FALSE	FALSE
3	0	FALSE	6.468878	0	FALSE	17.2	"good"	8.00082	1.609438	12	34.65366	"female"	FALSE	FALSE
1	0	FALSE	6.468878	0	FALSE	17.2	"good"	8.00082	1.609438	12	35.65366	"female"	FALSE	FALSE
1	0	FALSE	6.468878	0	FALSE	17.2	"good"	8.00082	1.609438	12	36.65366	"female"	FALSE	FALSE
1	0	FALSE	6.468878	0	FALSE	17.2	"good"	8.00082	1.609438	12	37.65366	"female"	FALSE	FALSE
1	0	FALSE	6.468878	0	FALSE	17.2	"excellent"	8.00082	1.609438	12	37.24298	"male"	FALSE	FALSE
6	0	FALSE	6.468878	0	FALSE	17.2	"excellent"	8.00082	1.609438	12	38.24298	"male"	FALSE	FALSE
5	0	FALSE	6.468878	0	FALSE	17.2	"excellent"	8.00082	1.609438	12	39.24298	"male"	FALSE	FALSE
5	0	FALSE	6.468878	0	FALSE	17.2	"excellent"	8.00082	1.609438	12	40.24298	"male"	FALSE	FALSE
1	0	FALSE	6.468878	0	FALSE	17.2	"excellent"	8.00082	1.609438	12	41.24298	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.082687	0.6931472	14	48.5284	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.082687	0.6931472	14	49.5284	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.082687	0.6931472	14	50.5284	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.082687	0.6931472	12	45.13895	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.082687	0.6931472	12	46.13895	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	9.082687	0.6931472	12	47.13895	"female"	FALSE	FALSE
4	4.564348	TRUE	5.504844	5.061929	FALSE	13.8	"good"	8.200787	0	12	56.98563	"female"	FALSE	FALSE
3	4.564348	TRUE	5.504844	5.061929	FALSE	13.8	"good"	8.200787	0	12	57.98563	"female"	FALSE	FALSE
1	4.564348	TRUE	5.504844	5.061929	FALSE	13.8	"good"	8.200787	0	12	58.98563	"female"	FALSE	FALSE
18	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	10	13.48665	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	10	14.48665	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	10	15.48665	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	11	51.94798	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	11	52.94798	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	11	53.94798	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	8.379004	1.386294	10	50.03696	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	8.379004	1.386294	10	51.03696	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"fair"	8.379004	1.386294	10	52.03696	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	7.984968	0	12	21.24025	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	7.984968	0	12	22.24025	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	7.984968	0	12	23.24025	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	10	11.0883	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	10	12.0883	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.379004	1.386294	10	13.0883	"male"	TRUE	FALSE
7	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.070485	0	12	22.86927	"female"	FALSE	TRUE
4	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.070485	0	12	23.86927	"female"	FALSE	TRUE
2	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.070485	0	12	24.86927	"female"	FALSE	TRUE
2	3.258096	FALSE	6.263398	7.649693	TRUE	9.967326	"good"	7.604913	0	12	56.79398	"female"	FALSE	FALSE
0	3.258096	FALSE	6.263398	7.649693	TRUE	9.967326	"good"	7.604913	0	12	57.79398	"female"	FALSE	FALSE
8	3.258096	FALSE	6.263398	7.649693	TRUE	9.967326	"good"	7.604913	0	12	58.79398	"female"	FALSE	FALSE
4	3.258096	FALSE	6.263398	7.649693	TRUE	9.967326	"good"	7.604913	0	12	59.79398	"female"	FALSE	FALSE
3	3.258096	FALSE	6.263398	7.649693	TRUE	9.967326	"good"	7.604913	0	12	60.79398	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.142062	1.386294	17	29.72758	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.142062	1.609438	17	30.72758	"female"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.142062	1.609438	17	31.72758	"female"	FALSE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.142062	1.386294	17	2.225873	"female"	TRUE	FALSE
12	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.142062	1.609438	17	3.225873	"female"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.142062	1.609438	17	4.225873	"female"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.142062	1.386294	22	32.95825	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.142062	1.609438	22	33.95825	"male"	FALSE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.142062	1.609438	22	34.95825	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.142062	1.386294	17	5.650924	"female"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.142062	1.609438	17	6.650924	"female"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	9.967326	"excellent"	9.142062	1.609438	17	7.650924	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	9	50.0616	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	9	51.0616	"male"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	9	52.0616	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	12	50.51882	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	12	51.51882	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	12	52.51882	"female"	FALSE	FALSE
12	4.564348	FALSE	0	0	FALSE	0	"excellent"	8.842349	0	15	22.59822	"female"	FALSE	FALSE
5	4.564348	FALSE	0	0	FALSE	0	"excellent"	8.842349	0	15	23.59822	"female"	FALSE	FALSE
5	4.564348	FALSE	0	0	FALSE	0	"excellent"	8.842349	0	15	24.59822	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	12	17.55236	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	12	18.55236	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.340941	1.098612	12	19.55236	"female"	FALSE	FALSE
3	0	FALSE	6.828582	0	FALSE	17.2	"excellent"	8.008654	0.6931472	6	60.83778	"male"	FALSE	FALSE
2	0	FALSE	6.828582	0	FALSE	17.2	"excellent"	8.008654	0.6931472	6	61.83778	"male"	FALSE	FALSE
4	0	FALSE	6.828582	0	FALSE	17.2	"excellent"	8.008654	0.6931472	6	62.83778	"male"	FALSE	FALSE
5	0	FALSE	6.828582	0	FALSE	6.9	"excellent"	8.008654	0.6931472	12	60.04928	"female"	FALSE	FALSE
9	0	FALSE	6.828582	0	FALSE	6.9	"excellent"	8.008654	0.6931472	12	61.04928	"female"	FALSE	FALSE
7	0	FALSE	6.828582	0	FALSE	6.9	"excellent"	8.008654	0.6931472	12	62.04928	"female"	FALSE	FALSE
0	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"good"	8.928522	1.386294	13	37.83984	"female"	FALSE	FALSE
1	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"good"	8.928522	1.386294	13	38.83984	"female"	FALSE	FALSE
0	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"good"	8.928522	1.386294	13	39.83984	"female"	FALSE	FALSE
3	4.564348	FALSE	6.476973	6.528265	FALSE	9.967326	"excellent"	8.928522	1.386294	13	9.908282	"female"	TRUE	FALSE
2	4.564348	FALSE	6.476973	6.528265	FALSE	9.967326	"excellent"	8.928522	1.386294	13	10.90828	"female"	TRUE	FALSE
3	4.564348	FALSE	6.476973	6.528265	FALSE	9.967326	"excellent"	8.928522	1.386294	13	11.90828	"female"	TRUE	FALSE
1	4.564348	FALSE	6.476973	6.528265	FALSE	9.967326	"excellent"	8.928522	1.386294	13	3.37577	"male"	TRUE	FALSE
8	4.564348	FALSE	6.476973	6.528265	FALSE	9.967326	"excellent"	8.928522	1.386294	13	4.37577	"male"	TRUE	FALSE
5	4.564348	FALSE	6.476973	6.528265	FALSE	9.967326	"excellent"	8.928522	1.386294	13	5.37577	"male"	TRUE	FALSE
4	4.564348	FALSE	6.476973	6.528265	FALSE	0	"good"	8.928522	1.386294	19	38.30801	"male"	FALSE	FALSE
1	4.564348	FALSE	6.476973	6.528265	FALSE	0	"good"	8.928522	1.386294	19	39.30801	"male"	FALSE	FALSE
3	4.564348	FALSE	6.476973	6.528265	FALSE	0	"good"	8.928522	1.386294	19	40.30801	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.309785	1.386294	12	32.8898	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.309785	1.386294	12	33.8898	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.309785	1.386294	12	34.8898	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.309785	1.386294	12	35.8898	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.309785	1.386294	12	36.8898	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.309785	1.386294	12	34.74059	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.309785	1.386294	12	35.74059	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.309785	1.386294	12	36.74059	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.309785	1.386294	12	37.74059	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.309785	1.386294	12	38.74059	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.309785	1.386294	12	9.563313	"male"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.309785	1.386294	12	10.56331	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.309785	1.386294	12	11.56331	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.309785	1.386294	12	12.56331	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"good"	9.309785	1.386294	12	13.56331	"male"	TRUE	FALSE
3	0	FALSE	5.189618	0	FALSE	17.2	"good"	8.976113	0	14	60.51198	"female"	FALSE	FALSE
5	0	FALSE	5.189618	0	FALSE	17.2	"good"	8.976113	0	14	61.51198	"female"	FALSE	FALSE
1	0	FALSE	5.189618	0	FALSE	17.2	"good"	8.976113	0	14	62.51198	"female"	FALSE	FALSE
4	4.564348	TRUE	5.893411	5.755076	FALSE	0	"excellent"	8.236362	0.6931472	10	31.60301	"male"	FALSE	FALSE
0	4.564348	TRUE	5.893411	5.755076	FALSE	0	"excellent"	8.236362	0.6931472	10	32.60301	"male"	FALSE	FALSE
1	4.564348	TRUE	5.893411	5.755076	FALSE	0	"excellent"	8.236362	1.098612	10	33.60301	"male"	FALSE	FALSE
3	4.564348	TRUE	5.893411	5.755076	FALSE	3.4	"excellent"	8.236362	0.6931472	12	31.42231	"female"	FALSE	FALSE
2	4.564348	TRUE	5.893411	5.755076	FALSE	3.4	"excellent"	8.236362	0.6931472	12	32.42231	"female"	FALSE	FALSE
2	4.564348	TRUE	5.893411	5.755076	FALSE	3.4	"excellent"	8.236362	1.098612	12	33.42231	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.386294	14	2.097194	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	3.097194	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	4.097194	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	5.097194	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	6.097194	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.386294	14	7.318275	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	8.318275	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	9.318275	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	10.31828	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	9.967326	"excellent"	8.941345	1.609438	14	11.31828	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	8.941345	1.386294	12	31.13484	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.941345	1.609438	12	32.13484	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	8.941345	1.609438	12	33.13484	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.941345	1.609438	12	34.13484	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	8.941345	1.609438	12	35.13484	"male"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	6.9	"excellent"	8.941345	1.386294	14	29.46749	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	6.9	"excellent"	8.941345	1.609438	14	30.46749	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	6.9	"excellent"	8.941345	1.609438	14	31.46749	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	6.9	"excellent"	8.941345	1.609438	14	32.46749	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	6.9	"excellent"	8.941345	1.609438	14	33.46749	"female"	FALSE	FALSE
5	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	8.900295	1.098612	8	34.88843	"female"	FALSE	FALSE
8	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	8.900295	1.098612	8	35.88843	"female"	FALSE	FALSE
6	3.258096	FALSE	6.586172	8.006368	FALSE	0	"excellent"	8.900295	1.098612	8	36.88843	"female"	FALSE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	8.900295	1.098612	8	6.631074	"male"	TRUE	FALSE
10	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	8.900295	1.098612	8	7.631074	"male"	TRUE	FALSE
4	3.258096	FALSE	6.586172	8.006368	FALSE	9.967326	"excellent"	8.900295	1.098612	8	8.631075	"male"	TRUE	FALSE
5	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	8.900295	1.098612	13	36.58864	"male"	FALSE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	8.900295	1.098612	13	37.58864	"male"	FALSE	FALSE
2	3.258096	FALSE	6.586172	8.006368	FALSE	3.4	"excellent"	8.900295	1.098612	13	38.58864	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"good"	9.198761	0.6931472	13	59.67146	"female"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"good"	9.198761	0.6931472	13	60.67146	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"good"	9.198761	0.6931472	13	61.67146	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.198761	0.6931472	12	60.59959	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.198761	0.6931472	12	61.59959	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.198761	0.6931472	12	62.59959	"male"	FALSE	FALSE
13	3.258096	FALSE	6.611073	7.344202	FALSE	0	"good"	8.105439	0.6931472	13	45.26762	"female"	FALSE	FALSE
0	3.258096	FALSE	6.611073	7.344202	FALSE	0	"good"	8.105439	0.6931472	13	46.26762	"female"	FALSE	FALSE
3	3.258096	FALSE	6.611073	7.344202	FALSE	0	"good"	8.105439	0.6931472	13	47.26762	"female"	FALSE	FALSE
3	3.258096	FALSE	6.611073	7.344202	FALSE	9.967326	"good"	8.105439	0.6931472	13	9.303217	"female"	TRUE	FALSE
2	3.258096	FALSE	6.611073	7.344202	FALSE	9.967326	"good"	8.105439	0.6931472	13	10.30322	"female"	TRUE	FALSE
3	3.258096	FALSE	6.611073	7.344202	FALSE	9.967326	"good"	8.105439	0.6931472	13	11.30322	"female"	TRUE	FALSE
0	4.564348	TRUE	6.611073	6.160541	TRUE	3.4	"good"	8.622816	1.098612	14	29.92471	"male"	FALSE	FALSE
6	4.564348	TRUE	6.611073	6.160541	TRUE	3.4	"good"	8.622816	0.6931472	14	30.92471	"male"	FALSE	FALSE
5	4.564348	TRUE	6.611073	6.160541	TRUE	3.4	"good"	8.622816	0.6931472	14	31.92471	"male"	FALSE	FALSE
1	4.564348	TRUE	6.611073	6.160541	FALSE	9.967326	"good"	8.622816	1.098612	12	1.451061	"female"	TRUE	FALSE
4	4.564348	TRUE	6.611073	6.160541	FALSE	17.2	"good"	8.622816	1.098612	12	21.85626	"female"	FALSE	FALSE
5	4.564348	TRUE	6.611073	6.160541	FALSE	17.2	"good"	8.622816	0.6931472	12	22.85626	"female"	FALSE	FALSE
2	4.564348	TRUE	6.611073	6.160541	FALSE	17.2	"good"	8.622816	0.6931472	12	23.85626	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	9.71856	1.098612	10	50.5243	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	9.71856	1.098612	10	51.5243	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	9.71856	1.098612	10	52.5243	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.71856	1.098612	13	21.2731	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.71856	1.098612	13	22.2731	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.71856	1.098612	13	23.2731	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"good"	9.71856	1.098612	12	48.5859	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	9.71856	1.098612	12	49.5859	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"good"	9.71856	1.098612	12	50.5859	"female"	FALSE	FALSE
26	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	5.226557	"female"	TRUE	FALSE
14	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	6.226557	"female"	TRUE	FALSE
11	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	7.226557	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	8.996577	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	9.996577	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	10.99658	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	7.868583	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	8.868583	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	9.868583	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	8.947162	1.791759	12	36.83504	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	8.947162	1.791759	12	37.83504	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	8.947162	1.791759	12	38.83504	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.947162	1.791759	8	39.01163	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.947162	1.791759	8	40.01163	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.947162	1.791759	8	41.01163	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	10.89938	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	11.89938	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	8.947162	1.791759	12	12.89938	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907555	6.959049	FALSE	9.967326	"good"	8.802236	1.098612	14	3.86037	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907555	6.959049	FALSE	9.967326	"good"	8.802236	1.386294	14	4.86037	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907555	6.959049	FALSE	9.967326	"good"	8.802236	1.386294	14	5.86037	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907555	6.959049	FALSE	6.9	"good"	8.802236	1.098612	14	27.36482	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907555	6.959049	FALSE	6.9	"good"	8.802236	1.386294	14	28.36482	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907555	6.959049	FALSE	6.9	"good"	8.802236	1.386294	14	29.36482	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907555	6.959049	FALSE	3.4	"good"	8.802236	1.098612	16	25.57153	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907555	6.959049	FALSE	3.4	"good"	8.802236	1.386294	16	26.57153	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907555	6.959049	FALSE	3.4	"good"	8.802236	1.386294	16	27.57153	"male"	FALSE	FALSE
0	4.564348	FALSE	6.756816	6.808109	FALSE	13.8	"fair"	8.172379	1.098612	8	28.60233	"male"	FALSE	FALSE
0	4.564348	FALSE	6.756816	6.808109	FALSE	13.8	"fair"	8.172379	1.098612	8	29.60233	"male"	FALSE	FALSE
1	4.564348	FALSE	6.756816	6.808109	FALSE	9.967326	"excellent"	8.172379	1.098612	14	7.047228	"female"	TRUE	FALSE
0	4.564348	FALSE	6.756816	6.808109	FALSE	9.967326	"excellent"	8.172379	1.098612	14	8.047228	"female"	TRUE	FALSE
0	4.564348	FALSE	6.756816	6.808109	FALSE	6.9	"poor"	8.172379	1.098612	14	28.52019	"female"	FALSE	FALSE
1	4.564348	FALSE	6.756816	6.808109	FALSE	6.9	"poor"	8.172379	1.098612	14	29.52019	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	37.9	"excellent"	8.887822	0	12	40.47365	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	37.9	"excellent"	8.887822	0	12	41.47365	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	37.9	"excellent"	8.887822	0	12	42.47365	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	0	"good"	9.103983	1.609438	13	14.24504	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	9.103983	1.609438	13	15.24504	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	0	"good"	9.103983	1.609438	13	16.24504	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	13.8	"excellent"	9.103983	1.609438	11	18.79261	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	9.103983	1.609438	11	19.79261	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	9.103983	1.609438	11	20.79261	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	17.2	"good"	9.103983	1.609438	13	47.81383	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	17.2	"good"	9.103983	1.609438	13	48.81383	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.2	"good"	9.103983	1.609438	13	49.81383	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	6.9	"excellent"	9.103983	1.609438	11	48.31485	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.103983	1.609438	11	49.31485	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.103983	1.609438	11	50.31485	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.103983	1.609438	13	10.5243	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.103983	1.609438	13	11.5243	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.103983	1.609438	13	12.5243	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.049904	1.386294	12	29.16906	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	3.4	"excellent"	9.049904	1.609438	12	30.16906	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.049904	1.609438	12	31.16906	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	9.049904	1.609438	12	32.16906	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.049904	1.609438	12	33.16906	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"fair"	9.049904	1.386294	12	25.96578	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"fair"	9.049904	1.609438	12	26.96578	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	10.3	"fair"	9.049904	1.609438	12	27.96578	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	10.3	"fair"	9.049904	1.609438	12	28.96578	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"fair"	9.049904	1.609438	12	29.96578	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.049904	1.386294	12	5.292265	"male"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.049904	1.609438	12	6.292265	"male"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.049904	1.609438	12	7.292265	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.049904	1.609438	12	8.292266	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	9.967326	"excellent"	9.049904	1.609438	12	9.292266	"male"	TRUE	FALSE
11	0	FALSE	0	0	TRUE	9.967326	"good"	9.049904	1.386294	12	3.019849	"male"	TRUE	FALSE
11	0	FALSE	0	0	TRUE	9.967326	"good"	9.049904	1.609438	12	4.019849	"male"	TRUE	FALSE
14	0	FALSE	0	0	TRUE	9.967326	"good"	9.049904	1.609438	12	5.019849	"male"	TRUE	FALSE
9	0	FALSE	0	0	TRUE	9.967326	"good"	9.049904	1.609438	12	6.019849	"male"	TRUE	FALSE
11	0	FALSE	0	0	TRUE	9.967326	"good"	9.049904	1.609438	12	7.019849	"male"	TRUE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	6.9	"excellent"	8.976113	0	20	34.6256	"male"	FALSE	FALSE
0	4.564348	FALSE	6.882438	6.959049	FALSE	6.9	"excellent"	8.976113	0	20	36.6256	"male"	FALSE	FALSE
1	4.564348	FALSE	6.766191	6.817485	FALSE	10.3	"excellent"	8.470698	0	16	31.52909	"female"	FALSE	FALSE
0	4.564348	FALSE	6.766191	6.817485	FALSE	10.3	"excellent"	8.470698	0	16	32.52909	"female"	FALSE	FALSE
0	4.564348	FALSE	6.766191	6.817485	FALSE	10.3	"excellent"	8.470698	0	16	33.52909	"female"	FALSE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	6.9	"good"	8.976113	1.609438	14	43.32649	"male"	FALSE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	6.9	"good"	8.976113	1.609438	14	44.32649	"male"	FALSE	FALSE
1	4.564348	TRUE	6.052089	6.160541	FALSE	6.9	"good"	8.976113	1.609438	14	45.32649	"male"	FALSE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	11.74812	"male"	TRUE	FALSE
3	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	12.74812	"male"	TRUE	FALSE
1	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	13.74812	"male"	TRUE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	10.57358	"male"	TRUE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	11.57358	"male"	TRUE	FALSE
4	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	12.57358	"male"	TRUE	FALSE
3	4.564348	TRUE	6.052089	6.160541	FALSE	13.8	"excellent"	8.976113	1.609438	16	37.27036	"female"	FALSE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	13.8	"excellent"	8.976113	1.609438	16	38.27036	"female"	FALSE	FALSE
4	4.564348	TRUE	6.052089	6.160541	FALSE	13.8	"excellent"	8.976113	1.609438	16	39.27036	"female"	FALSE	FALSE
1	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	8.695415	"male"	TRUE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	9.695415	"male"	TRUE	FALSE
0	4.564348	TRUE	6.052089	6.160541	FALSE	9.967326	"excellent"	8.976113	1.609438	16	10.69541	"male"	TRUE	FALSE
4	0	FALSE	4.836282	0	FALSE	10.3	"good"	8.939962	0	12	61.70294	"female"	FALSE	FALSE
8	0	FALSE	4.836282	0	FALSE	10.3	"good"	8.939962	0	12	62.70294	"female"	FALSE	FALSE
10	0	FALSE	4.836282	0	FALSE	10.3	"good"	8.939962	0	12	63.70294	"female"	FALSE	FALSE
9	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.94591	12	16.36687	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	17.36687	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	18.36687	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	19.36687	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	20.36687	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.198642	1.94591	12	16.36687	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.198642	1.791759	12	17.36687	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.198642	1.791759	12	18.36687	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.198642	1.791759	12	19.36687	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.198642	1.791759	12	20.36687	"male"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"poor"	9.198642	1.94591	12	45.62081	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"poor"	9.198642	1.791759	12	46.62081	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"poor"	9.198642	1.791759	12	47.62081	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"poor"	9.198642	1.791759	12	48.62081	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	TRUE	6.9	"poor"	9.198642	1.791759	12	49.62081	"female"	FALSE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.198642	1.94591	12	4.985626	"female"	TRUE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.198642	1.791759	12	5.985626	"female"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.198642	1.791759	12	6.985626	"female"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.198642	1.791759	12	7.985626	"female"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	9.967326	"excellent"	9.198642	1.791759	12	8.985626	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	27.6	"excellent"	9.198642	1.94591	12	45.46475	"male"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	27.6	"excellent"	9.198642	1.791759	12	46.46475	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	27.6	"excellent"	9.198642	1.791759	12	47.46475	"male"	FALSE	FALSE
10	3.931826	FALSE	6.907755	7.600903	FALSE	27.6	"excellent"	9.198642	1.791759	12	48.46475	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	27.6	"excellent"	9.198642	1.791759	12	49.46475	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.94591	12	14.40657	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	15.40657	"female"	TRUE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	16.40657	"female"	TRUE	FALSE
16	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	17.40657	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.198642	1.791759	12	18.40657	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.198642	1.94591	12	17.59891	"male"	TRUE	FALSE
1	4.564348	TRUE	7.122189	5.755076	FALSE	3.4	"excellent"	8.445562	0.6931472	14	40.40794	"female"	FALSE	FALSE
1	4.564348	TRUE	7.122189	5.755076	FALSE	3.4	"excellent"	8.445562	0.6931472	14	41.40794	"female"	FALSE	FALSE
2	4.564348	TRUE	7.122189	5.755076	FALSE	3.4	"excellent"	8.445562	0.6931472	14	42.40794	"female"	FALSE	FALSE
0	4.564348	TRUE	7.122189	5.755076	FALSE	3.4	"excellent"	8.445562	0.6931472	14	43.40794	"female"	FALSE	FALSE
5	4.564348	TRUE	7.122189	5.755076	FALSE	3.4	"excellent"	8.445562	0.6931472	14	44.40794	"female"	FALSE	FALSE
0	4.564348	TRUE	7.122189	5.755076	FALSE	0	"excellent"	8.445562	0.6931472	12	43.35387	"male"	FALSE	FALSE
0	4.564348	TRUE	7.122189	5.755076	FALSE	0	"excellent"	8.445562	0.6931472	12	44.35387	"male"	FALSE	FALSE
0	4.564348	TRUE	7.122189	5.755076	FALSE	0	"excellent"	8.445562	0.6931472	12	45.35387	"male"	FALSE	FALSE
0	4.564348	TRUE	7.122189	5.755076	FALSE	0	"excellent"	8.445562	0.6931472	12	46.35387	"male"	FALSE	FALSE
1	4.564348	TRUE	7.122189	5.755076	FALSE	0	"excellent"	8.445562	0.6931472	12	47.35387	"male"	FALSE	FALSE
6	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.11478	0	12	20.2026	"female"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.11478	0	12	21.2026	"female"	FALSE	FALSE
5	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.11478	0	12	22.2026	"female"	FALSE	FALSE
6	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.11478	0	12	23.2026	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"excellent"	8.11478	0	12	24.2026	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.077878	1.098612	11	18.96509	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.077878	1.098612	11	19.96509	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.077878	1.098612	11	20.96509	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.077878	1.098612	12	59.06092	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.077878	1.098612	12	60.06092	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.077878	1.098612	12	61.06092	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.077878	1.098612	12	60.9473	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.077878	1.098612	12	61.9473	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.077878	1.098612	12	62.9473	"male"	FALSE	FALSE
5	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.398332	0	11	18.47775	"female"	FALSE	TRUE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.398332	0	11	19.47775	"female"	FALSE	TRUE
4	4.564348	TRUE	0	5.061929	FALSE	6.9	"good"	7.398332	0	11	20.47775	"female"	FALSE	TRUE
3	0	FALSE	0	0	TRUE	37.9	"good"	9.537837	1.386294	15	48.64066	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	37.9	"good"	9.537837	1.386294	15	49.64066	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	9.537837	1.386294	13	20.29295	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"good"	9.537837	1.386294	13	21.29295	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"good"	9.537837	0.6931472	13	22.29295	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"fair"	9.537837	1.386294	12	18.04517	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"fair"	9.537837	1.386294	12	19.04517	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"fair"	9.537837	0.6931472	12	20.04517	"female"	FALSE	FALSE
1	3.258096	FALSE	6.612955	7.999249	FALSE	10.3	"good"	8.642878	0	15	57.78508	"female"	FALSE	FALSE
2	3.258096	FALSE	6.612955	7.999249	FALSE	10.3	"good"	8.642878	0	15	58.78508	"female"	FALSE	FALSE
3	3.258096	FALSE	6.612955	7.999249	FALSE	10.3	"good"	8.642878	0	15	59.78508	"female"	FALSE	FALSE
2	3.258096	FALSE	6.612955	7.999249	FALSE	10.3	"good"	8.642878	0	15	60.78508	"female"	FALSE	FALSE
0	3.258096	FALSE	6.612955	7.999249	FALSE	10.3	"good"	8.642878	0	15	61.78508	"female"	FALSE	FALSE
4	3.258096	FALSE	5.703783	7.090077	TRUE	6.9	"excellent"	8.801353	1.098612	14	28.8898	"female"	FALSE	FALSE
2	3.258096	FALSE	5.703783	7.090077	TRUE	6.9	"excellent"	8.801353	1.386294	14	29.8898	"female"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	TRUE	6.9	"excellent"	8.801353	1.386294	14	30.8898	"female"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	TRUE	6.9	"excellent"	8.801353	1.386294	14	31.8898	"female"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	TRUE	6.9	"excellent"	8.801353	1.386294	14	32.8898	"female"	FALSE	FALSE
3	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.801353	1.098612	12	29.63724	"male"	FALSE	FALSE
6	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.801353	1.386294	12	30.63724	"male"	FALSE	FALSE
7	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.801353	1.386294	12	31.63724	"male"	FALSE	FALSE
3	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.801353	1.386294	12	32.63723	"male"	FALSE	FALSE
14	3.258096	FALSE	5.703783	7.090077	FALSE	10.3	"good"	8.801353	1.386294	12	33.63723	"male"	FALSE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	8.801353	1.098612	14	2.902122	"female"	TRUE	FALSE
1	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	8.801353	1.386294	14	3.902122	"female"	TRUE	FALSE
2	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	8.801353	1.386294	14	4.902122	"female"	TRUE	FALSE
2	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	8.801353	1.386294	14	5.902122	"female"	TRUE	FALSE
2	3.258096	FALSE	5.703783	7.090077	FALSE	9.967326	"excellent"	8.801353	1.386294	14	6.902122	"female"	TRUE	FALSE
1	4.564348	FALSE	6.123589	6.174882	FALSE	3.4	"good"	8.814597	1.386294	11	20.282	"female"	FALSE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	3.4	"good"	8.814597	1.386294	11	21.282	"female"	FALSE	FALSE
2	4.564348	FALSE	6.123589	6.174882	FALSE	3.4	"good"	8.814597	1.386294	11	22.282	"female"	FALSE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	24.1	"good"	8.814597	1.386294	10	39.21424	"female"	FALSE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	24.1	"good"	8.814597	1.386294	10	40.21424	"female"	FALSE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	24.1	"good"	8.814597	1.386294	10	41.21424	"female"	FALSE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	13.8	"good"	8.814597	1.386294	9	45.94661	"male"	FALSE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	13.8	"good"	8.814597	1.386294	9	46.94661	"male"	FALSE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	13.8	"good"	8.814597	1.386294	9	47.94661	"male"	FALSE	FALSE
3	4.564348	FALSE	6.123589	6.174882	FALSE	3.4	"good"	8.814597	1.386294	10	17.3525	"male"	TRUE	FALSE
0	4.564348	FALSE	6.123589	6.174882	FALSE	3.4	"good"	8.814597	1.386294	10	18.3525	"male"	FALSE	FALSE
4	4.564348	FALSE	6.123589	6.174882	FALSE	3.4	"good"	8.814597	1.386294	10	19.3525	"male"	FALSE	FALSE
0	4.564348	FALSE	5.416101	5.467394	FALSE	6.9	"good"	8.976113	0	11	60.45722	"female"	FALSE	FALSE
0	4.564348	FALSE	5.416101	5.467394	FALSE	6.9	"good"	8.976113	0	11	61.45722	"female"	FALSE	FALSE
0	4.564348	FALSE	5.416101	5.467394	FALSE	6.9	"good"	8.976113	0	11	62.45722	"female"	FALSE	FALSE
0	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"excellent"	9.26992	0.6931472	12	27.02259	"male"	FALSE	FALSE
0	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"excellent"	9.26992	0.6931472	12	28.02259	"male"	FALSE	FALSE
3	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"excellent"	9.26992	0.6931472	12	29.02259	"male"	FALSE	FALSE
0	4.564348	FALSE	6.802395	6.853688	TRUE	10.3	"excellent"	9.26992	0.6931472	15	24.33949	"female"	FALSE	FALSE
5	4.564348	FALSE	6.802395	6.853688	TRUE	10.3	"excellent"	9.26992	0.6931472	15	25.33949	"female"	FALSE	FALSE
8	4.564348	FALSE	6.802395	6.853688	TRUE	10.3	"excellent"	9.26992	0.6931472	15	26.33949	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.114753	0.6931472	13	20.47912	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.114753	0.6931472	13	21.47912	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.114753	0.6931472	13	22.47912	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.28951	0.6931472	12	50.65024	"male"	FALSE	FALSE
14	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.28951	0.6931472	12	51.65024	"male"	FALSE	FALSE
6	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.28951	0.6931472	12	45.76044	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.28951	0.6931472	12	46.76044	"female"	FALSE	FALSE
7	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	9.28951	0	12	47.76044	"female"	FALSE	FALSE
0	3.931826	FALSE	5.741848	4.49981	FALSE	0	"excellent"	7.992331	0	12	19.99726	"male"	FALSE	FALSE
0	3.931826	FALSE	5.741848	4.49981	FALSE	0	"excellent"	7.992331	0	12	20.99726	"male"	FALSE	FALSE
0	3.931826	FALSE	5.741848	4.49981	FALSE	0	"excellent"	7.992331	0	12	21.99726	"male"	FALSE	FALSE
8	0	FALSE	5.741848	0	FALSE	10.3	"fair"	8.886202	0	12	61.16085	"male"	FALSE	FALSE
11	0	FALSE	5.741848	0	FALSE	10.3	"fair"	8.886202	0	12	62.16085	"male"	FALSE	FALSE
11	0	FALSE	5.741848	0	FALSE	10.3	"fair"	8.886202	0	12	63.16085	"male"	FALSE	FALSE
3	0	FALSE	4.836282	0	FALSE	6.9	"good"	8.392913	0	12	33.80698	"male"	FALSE	FALSE
11	0	FALSE	4.836282	0	FALSE	6.9	"good"	8.392913	0	12	34.80698	"male"	FALSE	FALSE
8	0	FALSE	4.836282	0	FALSE	6.9	"good"	8.392913	0	12	35.80698	"male"	FALSE	FALSE
1	4.564348	TRUE	5.913449	5.755076	FALSE	13.8	"excellent"	9.617162	0.6931472	8	53.03217	"male"	FALSE	FALSE
0	4.564348	TRUE	5.913449	5.755076	FALSE	13.8	"excellent"	9.617162	0.6931472	8	54.03217	"male"	FALSE	FALSE
1	4.564348	TRUE	5.913449	5.755076	FALSE	13.8	"excellent"	9.617162	0.6931472	8	55.03217	"male"	FALSE	FALSE
2	4.564348	TRUE	5.913449	5.755076	FALSE	13.8	"excellent"	9.617162	0.6931472	8	56.03217	"male"	FALSE	FALSE
0	4.564348	TRUE	5.913449	5.755076	FALSE	13.8	"excellent"	9.617162	0.6931472	8	57.03217	"male"	FALSE	FALSE
2	4.564348	TRUE	5.913449	5.755076	FALSE	10.3	"good"	9.617162	0.6931472	12	53.65366	"female"	FALSE	FALSE
2	4.564348	TRUE	5.913449	5.755076	FALSE	10.3	"good"	9.617162	0.6931472	12	54.65366	"female"	FALSE	FALSE
1	4.564348	TRUE	5.913449	5.755076	FALSE	10.3	"good"	9.617162	0.6931472	12	55.65366	"female"	FALSE	FALSE
4	4.564348	TRUE	5.913449	5.755076	FALSE	10.3	"good"	9.617162	0.6931472	12	56.65366	"female"	FALSE	FALSE
1	4.564348	TRUE	5.913449	5.755076	FALSE	10.3	"good"	9.617162	0.6931472	12	57.65366	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.940116	0	17	49.28953	"female"	FALSE	FALSE
10	0	FALSE	0	0	FALSE	6.9	"good"	8.940116	0	17	50.28953	"female"	FALSE	FALSE
12	0	FALSE	0	0	FALSE	6.9	"good"	8.940116	0	17	51.28953	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	6.9	"good"	8.940116	0	17	52.28953	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	6.9	"good"	8.940116	0	17	53.28953	"female"	FALSE	FALSE
7	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	0.2600958	"male"	TRUE	FALSE
3	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	1.260096	"male"	TRUE	FALSE
0	0	FALSE	5.418764	0	FALSE	9.967326	"excellent"	8.637691	1.609438	11	2.260096	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.140302	1.098612	12	0.2299795	"male"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.140302	1.098612	12	1.22998	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.140302	1.098612	12	2.22998	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.140302	1.098612	12	3.22998	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	9.967326	"excellent"	9.140302	1.098612	12	4.22998	"male"	TRUE	FALSE
1	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"excellent"	6.904057	1.098612	12	20.81588	"female"	FALSE	FALSE
0	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"excellent"	6.904057	1.098612	12	21.81588	"female"	FALSE	FALSE
1	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"excellent"	6.904057	1.386294	12	22.81588	"female"	FALSE	FALSE
0	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"excellent"	6.904057	1.609438	12	23.81588	"female"	FALSE	FALSE
2	4.564348	TRUE	5.749202	5.755076	FALSE	10.3	"excellent"	6.904057	1.609438	12	24.81588	"female"	FALSE	FALSE
6	4.564348	FALSE	6.372978	6.424272	TRUE	9.967326	"excellent"	8.950742	1.386294	16	0.128679	"female"	TRUE	FALSE
3	4.564348	FALSE	6.372978	6.424272	TRUE	9.967326	"excellent"	8.950742	1.386294	16	1.128679	"female"	TRUE	FALSE
2	4.564348	FALSE	6.372978	6.424272	TRUE	9.967326	"excellent"	8.950742	1.386294	16	2.128679	"female"	TRUE	FALSE
3	4.564348	FALSE	6.372978	6.424272	TRUE	9.967326	"excellent"	8.950742	1.386294	16	3.128679	"female"	TRUE	FALSE
2	4.564348	FALSE	6.372978	6.424272	TRUE	9.967326	"excellent"	8.950742	1.386294	16	4.128679	"female"	TRUE	FALSE
1	0	FALSE	6.346478	0	FALSE	0	"excellent"	9.043895	1.386294	16	27.28542	"male"	FALSE	FALSE
2	0	FALSE	6.346478	0	FALSE	0	"excellent"	9.043895	1.386294	16	28.28542	"male"	FALSE	FALSE
1	0	FALSE	6.346478	0	FALSE	0	"excellent"	9.043895	1.386294	16	29.28542	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.309785	1.386294	12	0.4298426	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.309785	1.386294	12	1.429843	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.309785	1.386294	12	2.429842	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.309785	1.386294	12	3.429842	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	9.967326	"excellent"	9.309785	1.386294	12	4.429842	"male"	TRUE	FALSE
0	0	FALSE	3.401197	0	FALSE	6.9	"excellent"	9.260705	1.791759	14	19.90417	"female"	FALSE	FALSE
0	0	FALSE	3.401197	0	FALSE	6.9	"excellent"	9.260705	1.791759	14	20.90417	"female"	FALSE	FALSE
1	0	FALSE	3.401197	0	FALSE	6.9	"excellent"	9.260705	1.609438	14	22.90417	"female"	FALSE	FALSE
4	0	FALSE	3.401197	0	FALSE	6.9	"excellent"	9.260705	1.609438	14	23.90417	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	10.3	"excellent"	9.537837	1.386294	14	22.74607	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	10.3	"excellent"	9.537837	1.386294	14	23.74607	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	9.294105	1.098612	14	40.17796	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"excellent"	9.294105	1.098612	14	41.17796	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"excellent"	9.294105	1.098612	14	42.17796	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	37.9	"excellent"	9.114753	0.6931472	12	53.05955	"female"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	TRUE	37.9	"excellent"	9.114753	0.6931472	12	54.05955	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	37.9	"excellent"	9.114753	0.6931472	12	55.05955	"female"	FALSE	FALSE
2	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.098612	12	0.1533196	"male"	TRUE	FALSE
3	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.098612	12	1.15332	"male"	TRUE	FALSE
1	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.386294	12	2.15332	"male"	TRUE	FALSE
3	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.609438	12	3.15332	"male"	TRUE	FALSE
7	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.609438	12	4.15332	"male"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.976113	0.6931472	12.875	20.67351	"male"	FALSE	TRUE
7	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.785593	1.386294	12	0.652293	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.785593	1.386294	12	1.652293	"female"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.785593	1.386294	12	0.652293	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.785593	1.386294	12	1.652293	"female"	TRUE	FALSE
13	0	FALSE	6.200184	0	TRUE	9.967326	"excellent"	9.355707	1.791759	13	0.0574949	"male"	TRUE	FALSE
4	0	FALSE	6.200184	0	TRUE	9.967326	"excellent"	9.355707	1.791759	13	1.057495	"male"	TRUE	FALSE
1	0	FALSE	6.200184	0	TRUE	9.967326	"excellent"	9.355707	1.791759	13	2.057495	"male"	TRUE	FALSE
5	0	FALSE	6.200184	0	TRUE	9.967326	"excellent"	9.355707	1.791759	13	3.057495	"male"	TRUE	FALSE
5	0	FALSE	6.200184	0	TRUE	9.967326	"excellent"	9.355707	1.791759	13	4.057495	"male"	TRUE	FALSE
12	3.931826	FALSE	6.907755	7.600903	TRUE	9.967326	"excellent"	8.72858	1.386294	14	0.6221766	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	9.967326	"excellent"	8.72858	1.386294	14	1.622177	"female"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.976113	0.6931472	11	0.7097878	"female"	TRUE	TRUE
7	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.976113	0.6931472	11	1.709788	"female"	TRUE	TRUE
2	3.258096	FALSE	5.703783	7.090077	TRUE	9.967326	"excellent"	8.801353	1.386294	14	0.5893224	"female"	TRUE	FALSE
2	3.258096	FALSE	5.703783	7.090077	TRUE	9.967326	"excellent"	8.801353	1.386294	14	1.589322	"female"	TRUE	FALSE
5	3.258096	FALSE	5.703783	7.090077	TRUE	9.967326	"excellent"	8.801353	1.386294	14	2.589322	"female"	TRUE	FALSE
2	3.258096	FALSE	5.703783	7.090077	TRUE	9.967326	"excellent"	8.801353	1.386294	14	3.589322	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.971212	1.386294	13	0.1786448	"male"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.971212	1.386294	13	1.178645	"male"	TRUE	FALSE
18	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.142062	1.609438	17	0.2087611	"female"	TRUE	FALSE
13	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	9.142062	1.609438	17	1.208761	"female"	TRUE	FALSE
9	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.049904	1.609438	12	0.1841205	"male"	TRUE	FALSE
10	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.049904	1.609438	12	1.18412	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.049904	1.609438	12	2.18412	"male"	TRUE	FALSE
7	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.049904	1.609438	12	3.18412	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.941345	1.609438	14	0.1074606	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.941345	1.609438	14	1.107461	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.941345	1.609438	14	2.107461	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.941345	1.609438	14	3.107461	"female"	TRUE	FALSE
6	4.564348	FALSE	6.907555	6.959049	TRUE	9.967326	"excellent"	8.802236	1.386294	14	0.3264887	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907555	6.959049	TRUE	9.967326	"excellent"	8.802236	1.386294	14	1.326489	"female"	TRUE	FALSE
4	0	FALSE	5.321057	0	TRUE	9.967326	"excellent"	8.05069	1.609438	12	0.8774812	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	9.967326	"excellent"	8.981662	1.609438	12	0.8145106	"male"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.374954	1.386294	12	0.5708419	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	9.967326	"excellent"	7.148781	1.386294	9	0.6776181	"female"	TRUE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	9.967326	"excellent"	8.905877	1.098612	16	0.568104	"male"	TRUE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	9.967326	"excellent"	8.905877	1.098612	16	1.568104	"male"	TRUE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	9.967326	"excellent"	8.905877	1.098612	16	2.568104	"male"	TRUE	FALSE
20	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.60718	0.6931472	18	0.3216975	"male"	TRUE	FALSE
6	4.564348	FALSE	6.907755	6.959049	TRUE	9.967326	"excellent"	9.058679	1.386294	12	0.3052704	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.369107	1.94591	10	0.2724161	"male"	TRUE	FALSE
11	4.564348	TRUE	5.893411	5.755076	TRUE	9.967326	"excellent"	8.236362	1.098612	12	0.2313484	"male"	TRUE	FALSE
7	4.564348	FALSE	0	3.592253	TRUE	9.967326	"excellent"	6.594694	0.6931472	12	0.2778918	"male"	TRUE	FALSE
2	4.564348	TRUE	5.010635	5.061929	TRUE	9.967326	"excellent"	8.165234	0.6931472	12	0.4859685	"female"	TRUE	FALSE
3	4.564348	TRUE	5.010635	5.061929	TRUE	9.967326	"excellent"	8.165234	0.6931472	12	1.485968	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	5.061929	TRUE	9.967326	"excellent"	8.165234	0.6931472	12	2.485969	"female"	TRUE	FALSE
7	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.386294	12	0.2067077	"female"	TRUE	FALSE
2	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.609438	12	1.206708	"female"	TRUE	FALSE
1	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.609438	12	2.206708	"female"	TRUE	FALSE
0	4.564348	FALSE	5.521461	5.572754	TRUE	9.967326	"excellent"	7.754644	0.6931472	12	0.0150582	"female"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	9.967326	"excellent"	8.431604	1.386294	12	0.0260096	"female"	TRUE	FALSE
3	3.258096	FALSE	6.619806	8.006368	TRUE	9.967326	"excellent"	8.976113	1.609438	10	0.705681	"female"	TRUE	FALSE
7	3.258096	FALSE	6.619806	8.006368	TRUE	9.967326	"excellent"	8.976113	1.609438	10	1.705681	"female"	TRUE	FALSE
7	3.258096	FALSE	5.703783	7.090077	TRUE	9.967326	"excellent"	7.350147	1.098612	12	0.7686516	"male"	TRUE	FALSE
2	3.258096	FALSE	5.703783	7.090077	TRUE	9.967326	"excellent"	7.350147	1.098612	12	1.768652	"male"	TRUE	FALSE
4	4.564348	TRUE	5.881984	5.755076	TRUE	9.967326	"excellent"	2.922909	1.098612	12	0.2950034	"male"	TRUE	FALSE
0	4.564348	TRUE	5.881984	5.755076	TRUE	9.967326	"excellent"	2.922909	1.098612	12	1.295003	"male"	TRUE	FALSE
6	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.609438	12	0.0568104	"female"	TRUE	FALSE
2	4.564348	TRUE	5.749202	5.755076	TRUE	9.967326	"excellent"	6.904057	1.609438	12	1.05681	"female"	TRUE	FALSE
7	4.564348	TRUE	0	0	TRUE	9.967326	"excellent"	8.72687	1.609438	12	0.4353183	"male"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	9.967326	"excellent"	9.073449	1.94591	11	0.2436687	"male"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.445271	0.6931472	14	36.53114	"female"	FALSE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.445271	0.6931472	14	37.53114	"female"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"excellent"	9.445271	0.6931472	14	38.53114	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.124136	1.386294	12	26.9295	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.124136	1.386294	12	27.9295	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.124136	1.386294	12	28.9295	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.124136	1.386294	12	3.802875	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.124136	1.386294	12	4.802875	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.124136	1.386294	12	5.802875	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"fair"	9.124136	1.386294	12	6.568104	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	9.124136	1.386294	12	7.568104	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	9.124136	1.386294	12	8.568104	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.124136	1.386294	12	27.70979	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.124136	1.386294	12	28.70979	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.124136	1.386294	12	29.70979	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	TRUE	13.8	"fair"	7.940241	0.6931472	11	56.49281	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	TRUE	13.8	"fair"	7.940241	0.6931472	11	57.49281	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	TRUE	13.8	"fair"	7.940241	0.6931472	11	58.49281	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	TRUE	13.8	"fair"	7.940241	0.6931472	11	59.49281	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.755076	TRUE	13.8	"fair"	7.940241	0.6931472	11	60.49281	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	6.9	"excellent"	7.940241	0.6931472	11	55.17317	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	6.9	"excellent"	7.940241	0.6931472	11	56.17317	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	6.9	"excellent"	7.940241	0.6931472	11	57.17317	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	6.9	"excellent"	7.940241	0.6931472	11	58.17317	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	6.9	"excellent"	7.940241	0.6931472	11	59.17317	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	20.7	"excellent"	8.502506	0.6931472	10	19.48255	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	20.7	"excellent"	8.502506	0.6931472	10	20.48255	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"excellent"	8.502506	0.6931472	10	21.48255	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.502506	0.6931472	12	21.56879	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.502506	0.6931472	12	22.56879	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.502506	0.6931472	12	23.56879	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	8.502506	0	12	24.56879	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.502506	0	12	25.56879	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	31	"fair"	7.846136	0.6931472	2	55.30732	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	31	"fair"	7.846136	0.6931472	2	56.30732	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	31	"fair"	7.846136	0.6931472	2	57.30732	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	31	"fair"	7.846136	0.6931472	2	58.30732	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	31	"fair"	7.846136	0.6931472	2	59.30732	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	27.6	"poor"	7.846136	0.6931472	5	48.09309	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	27.6	"poor"	7.846136	0.6931472	5	49.09309	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	27.6	"poor"	7.846136	0.6931472	5	50.09309	"female"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	27.6	"poor"	7.846136	0.6931472	5	51.09309	"female"	FALSE	FALSE
9	0	FALSE	0	0	TRUE	27.6	"poor"	7.846136	0.6931472	5	52.09309	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	3.4	"good"	7.876422	0	9	22.53251	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"good"	7.876422	0	9	23.53251	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.876422	0	9	24.53251	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	7.876422	0	9	25.53251	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	3.4	"good"	7.876422	0	9	26.53251	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	8.917281	0	13	57.79877	"male"	FALSE	FALSE
7	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	8.917281	0	13	58.79877	"male"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	8.917281	0	13	59.79877	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.209518	1.098612	12	27.74264	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.209518	1.098612	12	28.74264	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.209518	1.098612	12	29.74264	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.209518	1.098612	16	30.39014	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.209518	1.098612	16	31.39014	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"excellent"	9.209518	1.098612	16	32.39014	"male"	FALSE	FALSE
0	3.258096	FALSE	0	6.866933	FALSE	3.4	"good"	8.806258	0	7	53.38809	"female"	FALSE	TRUE
0	3.258096	FALSE	0	6.866933	FALSE	3.4	"good"	8.806258	0	7	54.38809	"female"	FALSE	TRUE
2	3.258096	FALSE	0	6.866933	FALSE	3.4	"good"	8.806258	0	7	55.38809	"female"	FALSE	TRUE
1	4.564348	TRUE	0	5.061929	FALSE	20.7	"good"	8.442584	0	13	57.62355	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.061929	FALSE	20.7	"good"	8.442584	0	13	58.62355	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	20.7	"good"	8.442584	0	13	59.62355	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	27.6	"poor"	0	1.098612	11	49.85626	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	27.6	"poor"	0	1.098612	11	50.85626	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	27.6	"poor"	0	1.098612	11	51.85626	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	27.6	"poor"	0	1.386294	11	52.85626	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	27.6	"poor"	0	1.386294	11	53.85626	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	0	1.098612	9	19.08829	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	0	1.098612	9	20.08829	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	0	1.098612	9	21.08829	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	0	1.386294	9	22.08829	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	0	1.386294	9	23.08829	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	1.098612	11	3.208761	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	1.098612	11	4.208761	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	1.098612	11	5.208761	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	1.386294	11	6.208761	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	1.386294	11	7.208761	"male"	TRUE	TRUE
2	0	FALSE	2.484907	0	FALSE	17.2	"excellent"	8.587584	0	16	25.40726	"female"	FALSE	FALSE
1	0	FALSE	2.484907	0	FALSE	17.2	"excellent"	8.587584	0	16	26.40726	"female"	FALSE	FALSE
8	0	FALSE	2.484907	0	FALSE	17.2	"excellent"	8.587584	0	16	27.40726	"female"	FALSE	FALSE
4	0	FALSE	2.484907	0	FALSE	17.2	"excellent"	8.587584	0	16	28.40726	"female"	FALSE	FALSE
3	0	FALSE	2.484907	0	FALSE	17.2	"excellent"	8.587584	0	16	29.40726	"female"	FALSE	FALSE
4	4.564348	TRUE	6.761573	6.160541	FALSE	10.3	"fair"	9.787487	1.609438	12	25.78234	"female"	FALSE	FALSE
1	4.564348	TRUE	6.761573	6.160541	FALSE	10.3	"fair"	9.787487	1.609438	12	26.78234	"female"	FALSE	FALSE
0	4.564348	TRUE	6.761573	6.160541	FALSE	10.57626	"excellent"	9.787487	1.609438	12	8.449008	"male"	TRUE	FALSE
1	4.564348	TRUE	6.761573	6.160541	FALSE	10.57626	"excellent"	9.787487	1.609438	12	9.449008	"male"	TRUE	FALSE
2	4.564348	TRUE	6.761573	6.160541	FALSE	10.57626	"excellent"	9.787487	1.609438	12	8.449008	"male"	TRUE	FALSE
0	4.564348	TRUE	6.761573	6.160541	FALSE	10.57626	"excellent"	9.787487	1.609438	12	9.449008	"male"	TRUE	FALSE
6	4.564348	TRUE	6.761573	6.160541	TRUE	6.9	"fair"	9.787487	1.609438	12	26.99795	"male"	FALSE	FALSE
0	4.564348	TRUE	6.761573	6.160541	TRUE	6.9	"fair"	9.787487	1.609438	12	27.99795	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	5.693581	1.098612	7	12.14237	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	5.693581	0.6931472	7	13.14237	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	5.693581	0.6931472	7	14.14237	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	5.693581	1.098612	7	14.56537	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	5.693581	0.6931472	7	15.56537	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	5.693581	0.6931472	7	16.56537	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	5.693581	1.098612	7	17.16085	"female"	TRUE	TRUE
13	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.185681	1.098612	14	34.46954	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.185681	1.098612	14	35.46954	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.185681	1.386294	14	36.46954	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.185681	1.386294	14	37.46954	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.185681	1.386294	14	38.46954	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.185681	1.098612	14	7.70705	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.185681	1.098612	14	8.70705	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.185681	1.386294	14	9.70705	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.185681	1.386294	14	10.70705	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.185681	1.386294	14	11.70705	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.185681	1.098612	12	34.1629	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.185681	1.098612	12	35.1629	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.185681	1.386294	12	36.1629	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.185681	1.386294	12	37.1629	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.185681	1.386294	12	38.1629	"male"	FALSE	FALSE
0	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"fair"	7.797056	0.6931472	10	31.18138	"female"	FALSE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"fair"	7.797056	0.6931472	10	32.18138	"female"	FALSE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"fair"	7.797056	0.6931472	10	33.18138	"female"	FALSE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	10.57626	"excellent"	7.797056	0.6931472	10	11.24983	"male"	TRUE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	10.57626	"excellent"	7.797056	0.6931472	10	12.24983	"male"	TRUE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	10.57626	"excellent"	7.797056	0.6931472	10	13.24983	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.692225	1.098612	9	22.49692	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.692225	1.098612	9	23.49692	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.692225	1.098612	9	24.49692	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.692225	1.098612	9	25.49692	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"fair"	8.692225	1.098612	9	26.49692	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.692225	1.098612	9	18.54346	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.692225	1.098612	9	19.54346	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.692225	1.098612	9	20.54346	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.692225	1.098612	9	21.54346	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.692225	1.098612	9	22.54346	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.692225	1.098612	9	2.565366	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.692225	1.098612	9	3.565366	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.692225	1.098612	9	4.565366	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.692225	1.098612	9	5.565366	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.692225	1.098612	9	6.565366	"female"	TRUE	FALSE
4	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.806258	0	13	24	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.806258	0	13	25	"female"	FALSE	FALSE
5	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"good"	8.806258	0	13	26	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	5.070499	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	6.070499	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	7.070499	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	8.070499	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	9.070499	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	5.052578	1.386294	4	17.0705	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	5.052578	1.386294	4	18.0705	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	5.052578	1.386294	4	19.0705	"female"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"good"	5.052578	1.386294	4	20.0705	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	5.052578	1.386294	4	21.0705	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	7.734428	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	8.734428	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	9.734428	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	10.73443	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	5.052578	1.386294	4	11.73443	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	24.1	"fair"	5.052578	1.386294	4	38.59822	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	24.1	"fair"	5.052578	1.386294	4	39.59822	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	24.1	"fair"	5.052578	1.386294	4	40.59822	"female"	FALSE	FALSE
12	0	FALSE	0	0	FALSE	24.1	"fair"	5.052578	1.386294	4	41.59822	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	24.1	"fair"	5.052578	1.386294	4	42.59822	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.244523	0.6931472	10	1.938398	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.244523	0.6931472	10	2.938398	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.244523	0.6931472	10	3.938398	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.244523	0.6931472	10	4.938398	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.244523	0.6931472	10	5.938398	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	7.244523	0.6931472	10	22.2998	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.3	"good"	7.244523	0.6931472	10	23.2998	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.3	"good"	7.244523	0.6931472	10	24.2998	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	10.3	"good"	7.244523	0.6931472	10	25.2998	"female"	FALSE	TRUE
7	0	FALSE	0	0	FALSE	10.3	"good"	7.244523	0.6931472	10	26.2998	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	7.512569	0	7	52.0219	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	7.512569	0	7	53.0219	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	7.512569	0	7	54.0219	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	7.512569	0	7	55.0219	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	7.512569	0	7	56.0219	"female"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	3.4	"excellent"	9.095992	1.609438	12	21.7796	"female"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	3.4	"excellent"	9.095992	1.609438	12	22.7796	"female"	FALSE	TRUE
1	0	FALSE	5.970139	0	FALSE	3.4	"excellent"	9.095992	1.609438	12	23.7796	"female"	FALSE	TRUE
1	0	FALSE	5.970139	0	FALSE	3.4	"excellent"	9.095992	1.609438	12	24.7796	"female"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	3.4	"excellent"	9.095992	1.609438	12	25.7796	"female"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	0	"good"	9.095992	1.609438	11	30.59274	"male"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	0	"good"	9.095992	1.609438	11	31.59274	"male"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	0	"good"	9.095992	1.609438	11	32.59274	"male"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	0	"good"	9.095992	1.609438	11	33.59274	"male"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	0	"good"	9.095992	1.609438	11	34.59274	"male"	FALSE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"excellent"	9.095992	1.609438	12	2.800821	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"excellent"	9.095992	1.609438	12	3.800821	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"excellent"	9.095992	1.609438	12	4.800821	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"excellent"	9.095992	1.609438	12	5.800821	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"excellent"	9.095992	1.609438	12	6.800821	"female"	TRUE	TRUE
1	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	7.167693	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	8.167693	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	9.167693	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	10.16769	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	11.16769	"female"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	5.998631	"male"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	6.998631	"male"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	7.998631	"male"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	8.998631	"male"	TRUE	TRUE
0	0	FALSE	5.970139	0	FALSE	10.57626	"good"	9.095992	1.609438	12	9.998631	"male"	TRUE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.208903	0.6931472	16	54.51609	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.208903	0.6931472	16	55.51609	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.208903	0.6931472	16	56.51609	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.208903	0.6931472	12	52.30664	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.208903	0.6931472	12	53.30664	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	9.208903	0.6931472	12	54.30664	"male"	FALSE	FALSE
5	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	30.84736	"female"	FALSE	FALSE
7	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	31.84736	"female"	FALSE	FALSE
4	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	32.84737	"female"	FALSE	FALSE
1	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	33.84737	"female"	FALSE	FALSE
1	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	34.84737	"female"	FALSE	FALSE
11	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	5.262149	"female"	TRUE	FALSE
15	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	6.262149	"female"	TRUE	FALSE
6	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	7.262149	"female"	TRUE	FALSE
2	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	8.262149	"female"	TRUE	FALSE
2	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	9.262149	"female"	TRUE	FALSE
13	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	8.424367	"female"	TRUE	FALSE
17	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	9.424367	"female"	TRUE	FALSE
10	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	10.42437	"female"	TRUE	FALSE
13	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	11.42437	"female"	TRUE	FALSE
11	0	FALSE	6.240744	0	FALSE	10.57626	"good"	8.963135	1.386294	12	12.42437	"female"	TRUE	FALSE
5	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	36.11773	"male"	FALSE	FALSE
7	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	37.11773	"male"	FALSE	FALSE
5	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	38.11773	"male"	FALSE	FALSE
4	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	39.11773	"male"	FALSE	FALSE
3	0	FALSE	6.240744	0	FALSE	3.4	"good"	8.963135	1.386294	12	40.11773	"male"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.441148	0.6931472	4	59.6167	"female"	FALSE	FALSE
9	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.441148	0.6931472	4	60.6167	"female"	FALSE	FALSE
11	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.441148	0.6931472	4	61.6167	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.441148	0.6931472	1	61.36619	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.441148	0.6931472	1	62.36619	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	8.441148	0.6931472	1	63.36619	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	6.135196	0	11	52.43258	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	6.135196	0	11	53.43258	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	6.135196	0	11	54.43258	"male"	FALSE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"good"	8.661416	1.609438	12	3.578371	"female"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"good"	8.661416	1.609438	12	4.578371	"female"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"good"	8.661416	1.609438	12	5.578371	"female"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	0	"fair"	8.661416	1.609438	12	28.00548	"male"	FALSE	TRUE
1	3.258096	FALSE	6.471356	5.771441	FALSE	0	"fair"	8.661416	1.609438	12	29.00548	"male"	FALSE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	0	"fair"	8.661416	1.609438	12	30.00548	"male"	FALSE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	3.4	"good"	8.661416	1.609438	12	25.17728	"female"	FALSE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	3.4	"good"	8.661416	1.609438	12	26.17728	"female"	FALSE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	3.4	"good"	8.661416	1.609438	12	27.17728	"female"	FALSE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"good"	8.661416	1.609438	12	5.812457	"female"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"good"	8.661416	1.609438	12	6.812457	"female"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"good"	8.661416	1.609438	12	7.812457	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.174686	1.791759	12	16.99384	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.174686	1.609438	12	17.99384	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.174686	1.609438	12	18.99384	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.174686	1.791759	10	20.0794	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.174686	1.609438	10	21.0794	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.174686	1.609438	10	22.0794	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.174686	1.791759	12	13.80972	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.174686	1.791759	12	36.27926	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.174686	1.609438	12	37.27926	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.174686	1.609438	12	38.27926	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.174686	1.791759	10.96978	18.3436	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.174686	1.609438	10.96978	19.3436	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.174686	1.609438	10.96978	20.3436	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.174686	1.791759	12	43.84121	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.174686	1.609438	12	44.84121	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.174686	1.609438	12	45.84121	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.88718	1.098612	10	30.45038	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.88718	1.098612	10	31.45038	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.88718	1.098612	10	32.45037	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.88718	1.098612	9	11.00616	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.88718	1.098612	9	12.00616	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.88718	1.098612	9	13.00616	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.88718	1.098612	9	29.96852	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.88718	1.098612	9	30.96852	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.88718	1.098612	9	31.96852	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"good"	7.862509	0	5	55.11841	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.862509	0	5	56.11841	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	3.4	"good"	7.862509	0	5	57.11841	"male"	FALSE	TRUE
1	4.564348	FALSE	7.06732	6.675624	FALSE	10.57626	"excellent"	9.384057	1.386294	12	7.411362	"female"	TRUE	FALSE
1	4.564348	FALSE	7.06732	6.675624	FALSE	10.57626	"excellent"	9.384057	1.386294	12	8.411362	"female"	TRUE	FALSE
0	4.564348	FALSE	7.06732	6.675624	FALSE	10.57626	"excellent"	9.384057	1.386294	12	9.411362	"female"	TRUE	FALSE
5	4.564348	FALSE	7.06732	6.675624	FALSE	10.57626	"excellent"	9.384057	1.609438	12	10.41136	"female"	TRUE	FALSE
8	4.564348	FALSE	7.06732	6.675624	FALSE	10.57626	"excellent"	9.384057	1.609438	12	11.41136	"female"	TRUE	FALSE
5	4.564348	FALSE	7.06732	6.675624	FALSE	13.8	"excellent"	9.384057	1.386294	12	29.6564	"female"	FALSE	FALSE
4	4.564348	FALSE	7.06732	6.675624	FALSE	13.8	"excellent"	9.384057	1.386294	12	30.6564	"female"	FALSE	FALSE
4	4.564348	FALSE	7.06732	6.675624	FALSE	13.8	"excellent"	9.384057	1.386294	12	31.6564	"female"	FALSE	FALSE
6	4.564348	FALSE	7.06732	6.675624	FALSE	13.8	"excellent"	9.384057	1.609438	12	32.6564	"female"	FALSE	FALSE
4	4.564348	FALSE	7.06732	6.675624	FALSE	13.8	"excellent"	9.384057	1.609438	12	33.6564	"female"	FALSE	FALSE
2	4.564348	FALSE	7.06732	6.675624	FALSE	3.4	"excellent"	9.384057	1.386294	12	33.04586	"male"	FALSE	FALSE
0	4.564348	FALSE	7.06732	6.675624	FALSE	3.4	"excellent"	9.384057	1.386294	12	34.04586	"male"	FALSE	FALSE
0	4.564348	FALSE	7.06732	6.675624	FALSE	3.4	"excellent"	9.384057	1.386294	12	35.04586	"male"	FALSE	FALSE
0	4.564348	FALSE	7.06732	6.675624	FALSE	3.4	"excellent"	9.384057	1.609438	12	36.04586	"male"	FALSE	FALSE
0	4.564348	FALSE	7.06732	6.675624	FALSE	3.4	"excellent"	9.384057	1.609438	12	37.04586	"male"	FALSE	FALSE
5	4.564348	FALSE	7.06732	6.675624	TRUE	10.57626	"excellent"	9.384057	1.386294	12	0.9965777	"male"	TRUE	FALSE
9	4.564348	FALSE	7.06732	6.675624	TRUE	10.57626	"excellent"	9.384057	1.386294	12	1.996578	"male"	TRUE	FALSE
3	4.564348	FALSE	7.06732	6.675624	TRUE	10.57626	"excellent"	9.384057	1.386294	12	2.996578	"male"	TRUE	FALSE
4	4.564348	FALSE	7.06732	6.675624	TRUE	10.57626	"excellent"	9.384057	1.609438	12	3.996578	"male"	TRUE	FALSE
4	4.564348	FALSE	7.06732	6.675624	TRUE	10.57626	"excellent"	9.384057	1.609438	12	4.996578	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.238429	0.6931472	12	25.1937	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.238429	0.6931472	12	26.1937	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.238429	1.098612	12	27.1937	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.238429	1.098612	12	28.1937	"female"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.238429	1.098612	12	29.1937	"female"	FALSE	FALSE
1	0	FALSE	5.009835	0	FALSE	0	"good"	8.95698	0.6931472	13	26.95688	"female"	FALSE	FALSE
2	0	FALSE	5.009835	0	FALSE	0	"good"	8.95698	0.6931472	13	27.95688	"female"	FALSE	FALSE
0	0	FALSE	5.009835	0	FALSE	0	"good"	8.95698	0.6931472	13	28.95688	"female"	FALSE	FALSE
0	0	FALSE	5.009835	0	FALSE	6.9	"excellent"	8.95698	0.6931472	12	33.72758	"male"	FALSE	FALSE
0	0	FALSE	5.009835	0	FALSE	6.9	"excellent"	8.95698	0.6931472	12	34.72758	"male"	FALSE	FALSE
0	0	FALSE	5.009835	0	FALSE	6.9	"excellent"	8.95698	0.6931472	12	35.72758	"male"	FALSE	FALSE
2	0	FALSE	3.401197	0	FALSE	10.57626	"excellent"	9.33052	1.609438	12	11.16496	"female"	TRUE	FALSE
4	0	FALSE	3.401197	0	FALSE	10.57626	"excellent"	9.33052	1.609438	12	12.16496	"female"	TRUE	FALSE
2	0	FALSE	3.401197	0	FALSE	10.57626	"excellent"	9.33052	1.609438	12	13.16496	"female"	TRUE	FALSE
7	0	FALSE	3.401197	0	FALSE	17.2	"good"	9.33052	1.609438	12	35.19233	"female"	FALSE	FALSE
3	0	FALSE	3.401197	0	FALSE	17.2	"good"	9.33052	1.609438	12	36.19233	"female"	FALSE	FALSE
2	0	FALSE	3.401197	0	FALSE	17.2	"good"	9.33052	1.609438	12	37.19233	"female"	FALSE	FALSE
11	0	FALSE	3.401197	0	FALSE	10.57626	"good"	9.33052	1.609438	12	7.036276	"female"	TRUE	FALSE
14	0	FALSE	3.401197	0	FALSE	10.57626	"good"	9.33052	1.609438	12	8.036277	"female"	TRUE	FALSE
14	0	FALSE	3.401197	0	FALSE	10.57626	"good"	9.33052	1.609438	12	9.036277	"female"	TRUE	FALSE
0	0	FALSE	3.401197	0	FALSE	13.8	"good"	9.33052	1.609438	16	36.50924	"male"	FALSE	FALSE
0	0	FALSE	3.401197	0	FALSE	13.8	"good"	9.33052	1.609438	16	37.50924	"male"	FALSE	FALSE
1	0	FALSE	3.401197	0	FALSE	13.8	"good"	9.33052	1.609438	16	38.50924	"male"	FALSE	FALSE
2	0	FALSE	3.401197	0	FALSE	3.4	"excellent"	9.33052	1.609438	12	15.68789	"female"	TRUE	FALSE
1	0	FALSE	3.401197	0	FALSE	3.4	"excellent"	9.33052	1.609438	12	16.68789	"female"	TRUE	FALSE
2	0	FALSE	3.401197	0	FALSE	3.4	"excellent"	9.33052	1.609438	12	17.68789	"female"	TRUE	FALSE
13	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"excellent"	8.391888	0	10	60.14237	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"excellent"	8.391888	0	10	61.14237	"female"	FALSE	FALSE
9	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"excellent"	8.391888	0	10	62.14237	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.779231	1.098612	14	47.89596	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.779231	1.098612	14	48.89596	"male"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.779231	1.098612	14	49.89596	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"excellent"	9.779231	1.098612	13	47.70431	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"excellent"	9.779231	1.098612	13	48.70431	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"excellent"	9.779231	1.098612	13	49.70431	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.779231	1.098612	13	20.78029	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.779231	1.098612	13	21.78029	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.779231	1.098612	13	22.78029	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.986234	1.098612	16	2.841889	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.986234	1.386294	16	3.841889	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	8.986234	1.098612	16	30.32444	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	8.986234	1.386294	16	31.32444	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.986234	1.098612	14	29.44011	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.986234	1.386294	14	30.44011	"male"	FALSE	FALSE
1	4.564348	FALSE	6.537792	6.282464	FALSE	10.57626	"good"	8.806258	1.609438	13	13.06502	"male"	TRUE	FALSE
0	4.564348	FALSE	6.537792	6.282464	TRUE	10.3	"good"	8.806258	1.609438	10	19.34292	"female"	FALSE	FALSE
0	4.564348	FALSE	6.537792	6.282464	TRUE	10.3	"good"	8.806258	1.609438	8	42.76249	"male"	FALSE	FALSE
0	4.564348	FALSE	6.537792	6.282464	FALSE	10.3	"good"	8.806258	1.609438	13	17.51403	"female"	TRUE	FALSE
0	4.564348	FALSE	6.537792	6.282464	FALSE	10.3	"good"	8.806258	0	13	18.51403	"female"	FALSE	FALSE
0	4.564348	FALSE	6.537792	6.282464	TRUE	10.3	"good"	8.806258	1.609438	13	43.14305	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.806258	1.098612	11	39.48802	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.806258	1.098612	11	40.48802	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.806258	1.098612	11	41.48802	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	8.806258	1.098612	10	40.53114	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	8.806258	1.098612	10	41.53114	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	8.806258	1.098612	10	42.53114	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.806258	1.098612	11	16.89528	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.806258	1.098612	11	17.89528	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.806258	1.098612	11	18.89528	"male"	FALSE	FALSE
1	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	7.63039	"male"	TRUE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	8.63039	"male"	TRUE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	9.63039	"male"	TRUE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	9.607119	"male"	TRUE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	10.60712	"male"	TRUE	TRUE
6	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	11.60712	"male"	TRUE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	0	"excellent"	7.280766	1.609438	10.96978	18.88022	"female"	FALSE	TRUE
1	4.564348	FALSE	6.235587	6.28688	FALSE	0	"excellent"	7.280766	1.609438	10.96978	19.88022	"female"	FALSE	TRUE
3	4.564348	FALSE	6.235587	6.28688	FALSE	0	"excellent"	7.280766	1.609438	10.96978	20.88022	"female"	FALSE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	6.9	"good"	7.280766	1.609438	11	25.97673	"female"	FALSE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	6.9	"good"	7.280766	1.609438	11	26.97673	"female"	FALSE	TRUE
1	4.564348	FALSE	6.235587	6.28688	FALSE	6.9	"good"	7.280766	1.609438	11	27.97673	"female"	FALSE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	9.607119	"male"	TRUE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	10.60712	"male"	TRUE	TRUE
0	4.564348	FALSE	6.235587	6.28688	FALSE	10.57626	"excellent"	7.280766	1.609438	11	11.60712	"male"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.242356	1.386294	12	47.21971	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.242356	1.386294	12	48.21971	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.242356	1.386294	12	49.21971	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.242356	1.098612	12	50.21971	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.242356	1.098612	12	51.21971	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.242356	1.386294	10.96978	18.39836	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.242356	1.386294	10.96978	19.39836	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.242356	1.386294	10.96978	20.39836	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.242356	1.386294	12	14.17933	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.242356	1.386294	12	15.17933	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.242356	1.386294	12	16.17933	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.242356	1.098612	12	17.17933	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.242356	1.098612	12	18.17933	"male"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.242356	1.386294	12	39.64956	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.242356	1.386294	12	40.64956	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.242356	1.386294	12	41.64956	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.242356	1.098612	12	42.64956	"female"	FALSE	FALSE
15	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.242356	1.098612	12	43.64956	"female"	FALSE	FALSE
2	4.564348	FALSE	0	5.714254	TRUE	13.8	"good"	7.536385	0.6931472	5	59.6961	"female"	FALSE	TRUE
1	4.564348	FALSE	0	5.714254	TRUE	13.8	"good"	7.536385	0.6931472	5	60.6961	"female"	FALSE	TRUE
4	4.564348	FALSE	0	5.714254	TRUE	13.8	"good"	7.536385	0.6931472	5	61.6961	"female"	FALSE	TRUE
0	4.564348	FALSE	4.959693	5.010986	TRUE	6.9	"good"	8.138098	1.098612	12	27.36756	"female"	FALSE	TRUE
0	4.564348	FALSE	4.959693	5.010986	TRUE	6.9	"good"	8.138098	1.098612	12	28.36756	"female"	FALSE	TRUE
0	4.564348	FALSE	4.959693	5.010986	TRUE	6.9	"good"	8.138098	1.098612	12	29.36756	"female"	FALSE	TRUE
0	4.564348	FALSE	4.959693	5.010986	TRUE	13.8	"excellent"	8.138098	1.098612	12	26.67488	"male"	FALSE	TRUE
0	4.564348	FALSE	4.959693	5.010986	TRUE	13.8	"excellent"	8.138098	1.098612	12	27.67488	"male"	FALSE	TRUE
0	4.564348	FALSE	4.959693	5.010986	TRUE	13.8	"excellent"	8.138098	1.098612	12	28.67488	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	6.647151	1.791759	12	33.47844	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	6.647151	1.791759	12	34.47844	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	6.647151	1.791759	12	35.47844	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.647151	1.791759	12	12.44353	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.647151	1.791759	12	13.44353	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.647151	1.791759	12	14.44353	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.647151	1.791759	12	9.215606	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	6.647151	1.791759	12	10.21561	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.647151	1.791759	12	11.21561	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"fair"	6.647151	1.791759	12	7.726215	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"fair"	6.647151	1.791759	12	8.726215	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"fair"	6.647151	1.791759	12	9.726215	"male"	TRUE	TRUE
0	0	FALSE	4.992878	0	TRUE	10.57626	"excellent"	8.366853	1.386294	8	8.147844	"male"	TRUE	FALSE
0	0	FALSE	4.992878	0	TRUE	10.57626	"excellent"	8.366853	1.386294	8	9.147844	"male"	TRUE	FALSE
0	0	FALSE	4.992878	0	TRUE	10.57626	"excellent"	8.366853	1.386294	8	10.14784	"male"	TRUE	FALSE
0	0	FALSE	4.992878	0	TRUE	6.9	"good"	8.366853	1.386294	13	40.20534	"male"	FALSE	FALSE
0	0	FALSE	4.992878	0	TRUE	6.9	"good"	8.366853	1.386294	13	41.20534	"male"	FALSE	FALSE
0	0	FALSE	4.992878	0	TRUE	6.9	"good"	8.366853	1.386294	13	42.20534	"male"	FALSE	FALSE
0	0	FALSE	4.992878	0	TRUE	10.57626	"excellent"	8.366853	1.386294	8	6.836413	"female"	TRUE	FALSE
4	0	FALSE	4.992878	0	TRUE	10.57626	"excellent"	8.366853	1.386294	8	7.836413	"female"	TRUE	FALSE
0	0	FALSE	4.992878	0	TRUE	10.57626	"excellent"	8.366853	1.386294	8	8.836413	"female"	TRUE	FALSE
0	0	FALSE	4.992878	0	FALSE	13.8	"good"	8.366853	1.386294	8	25.8809	"female"	FALSE	FALSE
0	0	FALSE	4.992878	0	FALSE	13.8	"good"	8.366853	1.386294	8	26.8809	"female"	FALSE	FALSE
0	0	FALSE	4.992878	0	FALSE	13.8	"good"	8.366853	1.386294	8	27.8809	"female"	FALSE	FALSE
0	4.564348	FALSE	5.172754	5.224048	FALSE	10.3	"good"	8.806258	1.098612	9	36.65435	"female"	FALSE	TRUE
0	4.564348	FALSE	5.172754	5.224048	FALSE	10.3	"good"	8.806258	1.098612	9	37.65435	"female"	FALSE	TRUE
0	4.564348	FALSE	5.172754	5.224048	FALSE	10.3	"good"	8.806258	1.098612	9	38.65435	"female"	FALSE	TRUE
0	4.564348	FALSE	5.172754	5.224048	TRUE	10.57626	"good"	8.806258	1.098612	9	14.87748	"male"	TRUE	TRUE
0	4.564348	FALSE	5.172754	5.224048	TRUE	10.57626	"good"	8.806258	1.098612	9	15.87748	"male"	TRUE	TRUE
0	4.564348	FALSE	5.172754	5.224048	TRUE	10.57626	"good"	8.806258	1.098612	9	16.87748	"male"	TRUE	TRUE
0	4.564348	FALSE	5.172754	5.224048	TRUE	10.57626	"excellent"	8.806258	1.098612	9	6.913073	"male"	TRUE	TRUE
0	4.564348	FALSE	5.172754	5.224048	TRUE	10.57626	"excellent"	8.806258	1.098612	9	7.913073	"male"	TRUE	TRUE
0	4.564348	FALSE	5.172754	5.224048	TRUE	10.57626	"excellent"	8.806258	1.098612	9	8.913074	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	12.2026	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	13.2026	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	14.2026	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.263696	1.94591	7	11.28542	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.263696	1.94591	7	12.28542	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	7.263696	1.94591	7	13.28542	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.263696	1.94591	10	20.0794	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.263696	1.94591	10	21.0794	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	7.263696	1.94591	10	22.0794	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	7.263696	1.94591	7	35.14305	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	7.263696	1.94591	7	36.14305	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	7.263696	1.94591	7	37.14305	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	14.09719	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	15.09719	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	16.09719	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	7.263696	1.94591	7	15.154	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	7.263696	1.94591	7	16.15401	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	14.09719	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	15.09719	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	7.263696	1.94591	7	16.09719	"female"	TRUE	TRUE
12	0	FALSE	6.471356	0	FALSE	3.4	"excellent"	9.09169	1.609438	12	34.78166	"male"	FALSE	FALSE
10	0	FALSE	6.471356	0	FALSE	3.4	"excellent"	9.09169	1.609438	12	35.78166	"male"	FALSE	FALSE
10	0	FALSE	6.471356	0	FALSE	3.4	"excellent"	9.09169	1.609438	12	36.78166	"male"	FALSE	FALSE
8	0	FALSE	6.471356	0	TRUE	10.3	"excellent"	9.09169	1.609438	12	31.92882	"female"	FALSE	FALSE
2	0	FALSE	6.471356	0	TRUE	10.3	"excellent"	9.09169	1.609438	12	32.92882	"female"	FALSE	FALSE
7	0	FALSE	6.471356	0	TRUE	10.3	"excellent"	9.09169	1.609438	12	33.92882	"female"	FALSE	FALSE
0	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	10.05339	"female"	TRUE	FALSE
1	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	11.05339	"female"	TRUE	FALSE
1	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	12.05339	"female"	TRUE	FALSE
4	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	5.377139	"male"	TRUE	FALSE
2	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	6.377139	"male"	TRUE	FALSE
5	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	7.377139	"male"	TRUE	FALSE
8	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	2.882957	"male"	TRUE	FALSE
3	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	3.882957	"male"	TRUE	FALSE
2	0	FALSE	6.471356	0	FALSE	10.57626	"excellent"	9.09169	1.609438	12	4.882957	"male"	TRUE	FALSE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"excellent"	0	2.079442	5	39.29911	"male"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"excellent"	0	2.197225	5	40.29911	"male"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"excellent"	0	2.197225	5	41.29911	"male"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"excellent"	0	2.197225	5	42.29911	"male"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"excellent"	0	2.197225	5	43.29911	"male"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"fair"	0	2.079442	6	10.00958	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"fair"	0	2.197225	6	11.00958	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"fair"	0	2.197225	6	12.00958	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"fair"	0	2.197225	6	13.00958	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"fair"	0	2.197225	6	14.00958	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	6.9	"fair"	0	2.079442	6	44.6872	"female"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	6.9	"fair"	0	2.197225	6	45.6872	"female"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	6.9	"fair"	0	2.197225	6	46.6872	"female"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	6.9	"fair"	0	2.197225	6	47.6872	"female"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	6.9	"fair"	0	2.197225	6	48.6872	"female"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.079442	6	13.4757	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	14.4757	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	15.4757	"male"	TRUE	TRUE
2	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	16.4757	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	17.4757	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.079442	6	11.77002	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	12.77002	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	13.77002	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	14.77002	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	10.57626	"good"	0	2.197225	6	15.77002	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"fair"	0	2.079442	6	16.75565	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"fair"	0	2.197225	6	17.75565	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"fair"	0	2.197225	6	18.75565	"female"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"fair"	0	2.197225	6	19.75565	"female"	FALSE	TRUE
1	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"fair"	0	2.197225	6	20.75565	"female"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"fair"	0	2.079442	6	15.77002	"male"	TRUE	TRUE
1	3.258096	FALSE	5.810392	7.196687	FALSE	0	"fair"	0	2.197225	6	16.77002	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"fair"	0	2.197225	6	17.77002	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"fair"	0	2.197225	6	18.77002	"male"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	0	"fair"	0	2.197225	6	19.77002	"male"	FALSE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"good"	0	2.079442	6	14.61465	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"good"	0	2.197225	6	15.61465	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"good"	0	2.197225	6	16.61465	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"good"	0	2.197225	6	17.61465	"female"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	FALSE	3.4	"good"	0	2.197225	6	18.61465	"female"	FALSE	TRUE
0	0	FALSE	5.731462	0	FALSE	0	"excellent"	9.421511	0.6931472	9	36.18344	"male"	FALSE	FALSE
1	0	FALSE	5.731462	0	FALSE	0	"excellent"	9.421511	0.6931472	9	37.18344	"male"	FALSE	FALSE
4	0	FALSE	5.731462	0	FALSE	0	"excellent"	9.421511	0.6931472	9	38.18344	"male"	FALSE	FALSE
1	0	FALSE	5.731462	0	FALSE	13.8	"fair"	9.421511	0.6931472	12	36.99384	"female"	FALSE	FALSE
1	0	FALSE	5.731462	0	FALSE	13.8	"fair"	9.421511	0.6931472	12	37.99384	"female"	FALSE	FALSE
2	0	FALSE	5.731462	0	FALSE	13.8	"fair"	9.421511	0.6931472	12	38.99384	"female"	FALSE	FALSE
0	0	FALSE	7.080969	0	FALSE	10.3	"good"	9.048872	1.609438	9	45.06503	"female"	FALSE	FALSE
1	0	FALSE	7.080969	0	FALSE	10.3	"good"	9.048872	1.609438	9	46.06503	"female"	FALSE	FALSE
4	0	FALSE	7.080969	0	FALSE	10.3	"good"	9.048872	1.609438	9	47.06503	"female"	FALSE	FALSE
0	0	FALSE	7.080969	0	TRUE	10.57626	"good"	9.048872	1.609438	9	12.05476	"male"	TRUE	FALSE
1	0	FALSE	7.080969	0	TRUE	10.57626	"good"	9.048872	1.609438	9	13.05476	"male"	TRUE	FALSE
1	0	FALSE	7.080969	0	TRUE	10.57626	"good"	9.048872	1.609438	9	14.05476	"male"	TRUE	FALSE
0	0	FALSE	7.080969	0	FALSE	0	"good"	9.048872	1.609438	3	44.58043	"male"	FALSE	FALSE
1	0	FALSE	7.080969	0	FALSE	0	"good"	9.048872	1.609438	3	45.58043	"male"	FALSE	FALSE
0	0	FALSE	7.080969	0	FALSE	0	"good"	9.048872	1.609438	3	46.58043	"male"	FALSE	FALSE
4	0	FALSE	7.080969	0	FALSE	3.4	"good"	9.048872	1.609438	9	16.09856	"female"	TRUE	FALSE
2	0	FALSE	7.080969	0	FALSE	3.4	"good"	9.048872	1.609438	9	17.09856	"female"	TRUE	FALSE
3	0	FALSE	7.080969	0	FALSE	3.4	"good"	9.048872	1.609438	9	18.09856	"female"	FALSE	FALSE
0	3.258096	FALSE	0	8.006368	TRUE	27.6	"fair"	7.412948	0	8	56.15879	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	27.6	"fair"	7.412948	0	8	57.15879	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	27.6	"fair"	7.412948	0	8	58.15879	"female"	FALSE	TRUE
4	3.258096	FALSE	0	8.006368	TRUE	27.6	"fair"	7.412948	0	8	59.15879	"female"	FALSE	TRUE
1	3.258096	FALSE	0	8.006368	TRUE	27.6	"fair"	7.412948	0	8	60.15879	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.296952	1.098612	9	46.48323	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.296952	1.098612	9	47.48323	"female"	FALSE	FALSE
13	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.296952	1.098612	9	48.48323	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.296952	1.098612	10.96978	18.30253	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.296952	1.098612	10.96978	19.30253	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.296952	1.098612	10.96978	20.30253	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"good"	9.296952	1.098612	10	46.48323	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"good"	9.296952	1.098612	10	47.48323	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"good"	9.296952	1.098612	10	48.48323	"male"	FALSE	FALSE
0	0	FALSE	3.809326	0	FALSE	10.3	"excellent"	9.301682	0.6931472	20	28.04654	"male"	FALSE	FALSE
0	0	FALSE	3.809326	0	FALSE	10.3	"excellent"	9.301682	0.6931472	20	29.04654	"male"	FALSE	FALSE
0	0	FALSE	3.809326	0	FALSE	10.3	"excellent"	9.301682	0.6931472	20	30.04654	"male"	FALSE	FALSE
0	0	FALSE	3.809326	0	FALSE	10.3	"excellent"	9.301682	0.6931472	20	31.04654	"male"	FALSE	FALSE
1	0	FALSE	3.809326	0	FALSE	10.3	"excellent"	9.301682	0.6931472	20	32.04654	"male"	FALSE	FALSE
1	0	FALSE	3.809326	0	FALSE	6.9	"excellent"	9.301682	0.6931472	10.96978	35.30185	"female"	FALSE	FALSE
1	0	FALSE	3.809326	0	FALSE	6.9	"excellent"	9.301682	0.6931472	10.96978	36.30185	"female"	FALSE	FALSE
0	0	FALSE	3.809326	0	FALSE	6.9	"excellent"	9.301682	0.6931472	10.96978	37.30185	"female"	FALSE	FALSE
0	0	FALSE	3.809326	0	FALSE	6.9	"excellent"	9.301682	0.6931472	10.96978	38.30185	"female"	FALSE	FALSE
2	0	FALSE	3.809326	0	FALSE	6.9	"excellent"	9.301682	0.6931472	10.96978	39.30185	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	8.806258	0.6931472	11	26.74059	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.806258	0.6931472	11	27.74059	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	8.806258	0.6931472	11	28.74059	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	3.4	"excellent"	8.806258	0.6931472	9	24.71458	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.806258	0.6931472	9	25.71458	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.806258	0.6931472	9	26.71458	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	7.688116	0	12	35.29911	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	7.688116	0	12	36.29911	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	7.688116	0	12	37.29911	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.302585	14	3.750856	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	4.750855	"female"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	5.750855	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.080501	2.302585	15	45.56605	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.080501	2.484907	15	46.56605	"male"	FALSE	TRUE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.080501	2.484907	15	47.56605	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.302585	14	7.931554	"female"	TRUE	TRUE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	8.931554	"female"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	9.931554	"female"	TRUE	TRUE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.302585	14	3.750856	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	4.750855	"female"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	5.750855	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.302585	14	13.62902	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	14.62902	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	15.62902	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.302585	14	12.29569	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	13.29569	"female"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	14.29569	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.080501	2.302585	14	37.54415	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.080501	2.484907	14	38.54415	"female"	FALSE	TRUE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"good"	9.080501	2.484907	14	39.54415	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.302585	14	10.18207	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	11.18207	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.080501	2.484907	14	12.18207	"male"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.221231	0.6931472	18	37.70842	"female"	FALSE	TRUE
6	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.221231	0.6931472	18	38.70842	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.221231	0.6931472	18	39.70842	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.221231	0.6931472	18	40.70842	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.221231	0.6931472	18	41.70842	"female"	FALSE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.221231	0.6931472	14	37.04038	"male"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.221231	0.6931472	14	38.04038	"male"	FALSE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.221231	0.6931472	14	39.04038	"male"	FALSE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.221231	0.6931472	14	40.04038	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.221231	0.6931472	14	41.04038	"male"	FALSE	TRUE
0	3.931826	FALSE	0	7.600903	TRUE	20.7	"fair"	8.806258	1.098612	7	56.43258	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	TRUE	20.7	"fair"	8.806258	1.098612	7	57.43258	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	TRUE	20.7	"fair"	8.806258	1.098612	7	58.43258	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.806258	1.098612	7	17.58522	"male"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.806258	1.098612	7	18.58522	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	3.4	"excellent"	8.806258	1.098612	7	19.58522	"male"	FALSE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	13.8	"good"	8.806258	1.098612	6	57.9165	"male"	FALSE	FALSE
1	3.931826	FALSE	0	7.600903	FALSE	13.8	"good"	8.806258	1.098612	6	58.9165	"male"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	13.8	"good"	8.806258	1.098612	6	59.9165	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.312314	1.386294	7	14.91581	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.312314	1.386294	7	15.91581	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.312314	1.386294	7	16.91581	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.312314	1.386294	7	17.91581	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.312314	1.386294	7	18.91581	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	TRUE	20.7	"poor"	8.312314	1.386294	7	37.25941	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	20.7	"poor"	8.312314	1.386294	7	38.25941	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	20.7	"poor"	8.312314	1.386294	7	39.25941	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	20.7	"poor"	8.312314	1.386294	7	40.25941	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	20.7	"poor"	8.312314	1.386294	7	41.25941	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.312314	1.386294	7	7.526352	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.312314	1.386294	7	8.526352	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.312314	1.386294	7	9.526352	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.312314	1.386294	7	10.52635	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.312314	1.386294	7	11.52635	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.312314	1.386294	7	13.92471	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.312314	1.386294	7	14.92471	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.312314	1.386294	7	15.92471	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.312314	1.386294	7	16.92471	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.312314	1.386294	7	17.92471	"female"	TRUE	TRUE
0	0	FALSE	6.384047	0	FALSE	10.57626	"excellent"	8.583358	1.386294	13	6.833675	"female"	TRUE	TRUE
3	0	FALSE	6.384047	0	FALSE	10.57626	"excellent"	8.583358	1.386294	13	7.833675	"female"	TRUE	TRUE
1	0	FALSE	6.384047	0	FALSE	10.57626	"excellent"	8.583358	1.386294	13	8.833675	"female"	TRUE	TRUE
1	0	FALSE	6.384047	0	FALSE	0	"good"	8.583358	1.386294	12	27.35113	"male"	FALSE	TRUE
2	0	FALSE	6.384047	0	FALSE	0	"good"	8.583358	1.386294	12	28.35113	"male"	FALSE	TRUE
1	0	FALSE	6.384047	0	FALSE	0	"good"	8.583358	1.386294	12	29.35113	"male"	FALSE	TRUE
1	0	FALSE	6.384047	0	FALSE	13.8	"good"	8.583358	1.386294	13	28.93087	"female"	FALSE	TRUE
4	0	FALSE	6.384047	0	FALSE	13.8	"good"	8.583358	1.386294	13	29.93087	"female"	FALSE	TRUE
1	0	FALSE	6.384047	0	FALSE	13.8	"good"	8.583358	1.386294	13	30.93087	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.21173	0	12	24.71184	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.21173	0.6931472	12	25.71184	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.21173	0.6931472	12	26.71184	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.21173	0.6931472	12	27.71184	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	9.21173	0.6931472	12	28.71184	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.20143	0	12	21.71937	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"fair"	8.20143	0	12	22.71937	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.20143	0	12	23.71937	"male"	FALSE	TRUE
7	0	FALSE	6.437399	0	TRUE	37.9	"fair"	8.88378	1.098612	7	38.59274	"female"	FALSE	TRUE
5	0	FALSE	6.437399	0	TRUE	37.9	"fair"	8.88378	0.6931472	7	39.59274	"female"	FALSE	TRUE
6	0	FALSE	6.437399	0	TRUE	37.9	"fair"	8.88378	0.6931472	7	40.59274	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.297204	0	9	19.08829	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.297204	0	9	20.08829	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.297204	0.6931472	9	21.08829	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"good"	8.806258	0.6931472	6	3.518138	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"good"	8.806258	0.6931472	6	4.518138	"female"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	10.57626	"good"	8.806258	0.6931472	6	5.518138	"female"	TRUE	TRUE
9	0	FALSE	6.437399	0	FALSE	17.2	"good"	8.88378	1.098612	7	42.76249	"male"	FALSE	TRUE
3	0	FALSE	6.437399	0	FALSE	17.2	"good"	8.88378	0.6931472	7	43.76249	"male"	FALSE	TRUE
5	0	FALSE	6.437399	0	FALSE	17.2	"good"	8.88378	0.6931472	7	44.76249	"male"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	13.8	"good"	8.806258	0.6931472	6	20.45175	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	13.8	"good"	8.806258	0.6931472	6	21.45175	"female"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	13.8	"good"	8.806258	0.6931472	6	22.45175	"female"	FALSE	TRUE
2	0	FALSE	6.437399	0	FALSE	0	"fair"	8.88378	1.098612	7	16.13416	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	9.107988	1.791759	12	43.22519	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	9.107988	1.94591	12	44.22519	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	9.107988	1.94591	12	45.22519	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.107988	1.791759	12	5.538672	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.107988	1.94591	12	6.538672	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.107988	1.94591	12	7.538672	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	0	"excellent"	9.107988	1.791759	12	16.19439	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	0	"excellent"	9.107988	1.94591	12	17.19439	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	0	"excellent"	9.107988	1.94591	12	18.19439	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.107988	1.791759	13	43.78645	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.107988	1.94591	13	44.78645	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.107988	1.94591	13	45.78645	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.107988	1.791759	12	13.42094	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.107988	1.94591	12	14.42094	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.107988	1.94591	12	15.42094	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.107988	1.791759	12	17.28131	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.107988	1.94591	12	18.28131	"female"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.107988	1.94591	12	19.28131	"female"	FALSE	FALSE
9	0	FALSE	6.148468	0	TRUE	58.6	"poor"	8.674844	1.386294	5	37.96578	"female"	FALSE	FALSE
1	0	FALSE	6.148468	0	TRUE	58.6	"poor"	8.674844	1.386294	5	38.96578	"female"	FALSE	FALSE
7	0	FALSE	6.148468	0	TRUE	58.6	"poor"	8.674844	1.386294	5	39.96578	"female"	FALSE	FALSE
19	0	FALSE	6.148468	0	TRUE	58.6	"poor"	8.674844	1.386294	5	40.96578	"female"	FALSE	FALSE
21	0	FALSE	6.148468	0	TRUE	58.6	"poor"	8.674844	1.098612	5	41.96578	"female"	FALSE	FALSE
1	0	FALSE	6.148468	0	FALSE	10.3	"fair"	8.674844	1.386294	5	15.43874	"male"	TRUE	FALSE
0	0	FALSE	6.148468	0	FALSE	10.3	"fair"	8.674844	1.386294	5	16.43874	"male"	TRUE	FALSE
1	0	FALSE	6.148468	0	FALSE	10.3	"fair"	8.674844	1.386294	5	17.43874	"male"	TRUE	FALSE
0	0	FALSE	6.148468	0	FALSE	10.3	"fair"	8.674844	1.386294	5	18.43874	"male"	FALSE	FALSE
2	0	FALSE	6.148468	0	FALSE	6.9	"poor"	8.674844	1.386294	5	17.21834	"male"	TRUE	FALSE
0	0	FALSE	6.148468	0	FALSE	6.9	"poor"	8.674844	1.386294	5	18.21834	"male"	FALSE	FALSE
0	0	FALSE	6.148468	0	FALSE	6.9	"poor"	8.674844	1.386294	5	19.21834	"male"	FALSE	FALSE
4	0	FALSE	6.148468	0	FALSE	6.9	"poor"	8.674844	1.386294	5	20.21834	"male"	FALSE	FALSE
7	0	FALSE	6.148468	0	FALSE	6.9	"poor"	8.674844	1.098612	5	21.21834	"male"	FALSE	FALSE
0	0	FALSE	6.148468	0	FALSE	3.4	"excellent"	8.674844	1.386294	9	40.84326	"male"	FALSE	FALSE
0	0	FALSE	6.148468	0	FALSE	3.4	"excellent"	8.674844	1.386294	9	41.84326	"male"	FALSE	FALSE
0	0	FALSE	6.148468	0	FALSE	3.4	"excellent"	8.674844	1.386294	9	42.84326	"male"	FALSE	FALSE
0	0	FALSE	6.148468	0	FALSE	3.4	"excellent"	8.674844	1.386294	9	43.84326	"male"	FALSE	FALSE
1	0	FALSE	6.148468	0	FALSE	3.4	"excellent"	8.674844	1.098612	9	44.84326	"male"	FALSE	FALSE
0	0	FALSE	4.032469	0	TRUE	0	"excellent"	8.507929	0	10	29.2731	"male"	FALSE	FALSE
0	0	FALSE	4.032469	0	TRUE	0	"excellent"	8.507929	0	10	30.2731	"male"	FALSE	FALSE
0	0	FALSE	4.032469	0	TRUE	0	"excellent"	8.507929	0	10	31.2731	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	8.742816	0.6931472	13	21.45106	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"excellent"	8.742816	0.6931472	13	22.45106	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	8.742816	0.6931472	13	23.45106	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	8.742816	0.6931472	13	24.45106	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	13.8	"excellent"	8.742816	0	13	25.45106	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	20.7	"excellent"	8.742816	0.6931472	12	22.15469	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	20.7	"excellent"	8.742816	0.6931472	12	23.15469	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	20.7	"excellent"	8.742816	0.6931472	12	24.15469	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	20.7	"excellent"	8.742816	0.6931472	12	25.15469	"male"	FALSE	FALSE
2	3.258096	FALSE	5.646683	7.032977	FALSE	3.4	"excellent"	8.322563	1.098612	12	38.65572	"female"	FALSE	FALSE
0	3.258096	FALSE	5.646683	7.032977	FALSE	3.4	"excellent"	8.322563	1.098612	12	39.65572	"female"	FALSE	FALSE
4	3.258096	FALSE	5.646683	7.032977	FALSE	3.4	"excellent"	8.322563	1.098612	12	40.65572	"female"	FALSE	FALSE
2	3.258096	FALSE	5.646683	7.032977	FALSE	10.57626	"excellent"	8.322563	1.098612	12	13.98768	"female"	TRUE	FALSE
2	3.258096	FALSE	5.646683	7.032977	FALSE	10.57626	"excellent"	8.322563	1.098612	12	14.98768	"female"	TRUE	FALSE
12	3.258096	FALSE	5.646683	7.032977	FALSE	10.57626	"excellent"	8.322563	1.098612	12	15.98768	"female"	TRUE	FALSE
0	3.258096	FALSE	5.646683	7.032977	FALSE	3.4	"excellent"	8.322563	1.098612	12	17.78508	"female"	TRUE	FALSE
0	3.258096	FALSE	5.646683	7.032977	FALSE	3.4	"excellent"	8.322563	1.098612	12	18.78508	"female"	FALSE	FALSE
2	3.258096	FALSE	5.646683	7.032977	FALSE	3.4	"excellent"	8.322563	1.098612	12	19.78508	"female"	FALSE	FALSE
3	0	FALSE	5.879527	0	FALSE	6.9	"good"	8.800647	1.098612	9	25.08966	"female"	FALSE	FALSE
4	0	FALSE	5.879527	0	FALSE	6.9	"good"	8.800647	1.386294	9	26.08966	"female"	FALSE	FALSE
1	0	FALSE	5.879527	0	FALSE	6.9	"good"	8.800647	1.386294	9	27.08966	"female"	FALSE	FALSE
0	0	FALSE	5.879527	0	FALSE	6.9	"good"	8.800647	1.386294	9	28.08966	"female"	FALSE	FALSE
0	0	FALSE	5.879527	0	FALSE	6.9	"good"	8.800647	1.386294	9	29.08966	"female"	FALSE	FALSE
0	0	FALSE	5.879527	0	FALSE	10.3	"good"	8.800647	1.098612	10	27.01437	"male"	FALSE	FALSE
3	0	FALSE	5.879527	0	FALSE	10.3	"good"	8.800647	1.386294	10	28.01437	"male"	FALSE	FALSE
0	0	FALSE	5.879527	0	FALSE	10.3	"good"	8.800647	1.386294	10	29.01437	"male"	FALSE	FALSE
0	0	FALSE	5.879527	0	FALSE	10.3	"good"	8.800647	1.386294	10	30.01437	"male"	FALSE	FALSE
0	0	FALSE	5.879527	0	FALSE	10.3	"good"	8.800647	1.386294	10	31.01437	"male"	FALSE	FALSE
2	0	FALSE	5.879527	0	FALSE	10.57626	"excellent"	8.800647	1.098612	9	4.257358	"male"	TRUE	FALSE
4	0	FALSE	5.879527	0	FALSE	10.57626	"excellent"	8.800647	1.386294	9	5.257358	"male"	TRUE	FALSE
3	0	FALSE	5.879527	0	FALSE	10.57626	"excellent"	8.800647	1.386294	9	6.257358	"male"	TRUE	FALSE
5	0	FALSE	5.879527	0	FALSE	10.57626	"excellent"	8.800647	1.386294	9	7.257358	"male"	TRUE	FALSE
0	0	FALSE	5.879527	0	FALSE	10.57626	"excellent"	8.800647	1.386294	9	8.257358	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"good"	6.752381	0	11	54.22587	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	17.2	"good"	6.752381	0	11	55.22587	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	17.2	"good"	6.752381	0	11	56.22587	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.289364	0	12	36.66804	"male"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.289364	0	12	37.66804	"male"	FALSE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.289364	0	12	38.66804	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	8.806258	0	6	29.86721	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	8.806258	0	6	30.86721	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	8.806258	0	6	31.86721	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.3	"fair"	9.302752	0.6931472	16	30.03422	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"fair"	9.302752	0.6931472	16	31.03422	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"fair"	9.302752	0.6931472	16	32.03422	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"fair"	9.302752	0.6931472	16	33.03422	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"fair"	9.302752	0.6931472	16	34.03422	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	3.4	"good"	9.302752	0.6931472	20	33.41547	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	3.4	"good"	9.302752	0.6931472	20	34.41547	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	3.4	"good"	9.302752	0.6931472	20	35.41547	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	3.4	"good"	9.302752	0.6931472	20	36.41547	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	3.4	"good"	9.302752	0.6931472	20	37.41547	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.557826	0.6931472	10	25.51403	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	8.557826	0.6931472	10	26.51403	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.557826	0.6931472	10	27.51403	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	8.557826	0.6931472	12	29.77687	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	8.557826	0.6931472	12	30.77687	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	0	"good"	8.557826	0.6931472	12	31.77687	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	8.806258	0	12	21.60438	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	8.806258	0	12	22.60438	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	17.2	"excellent"	8.806258	0	12	23.60438	"male"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"poor"	8.806258	0	9	52.34497	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"poor"	8.806258	0	9	53.34497	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	6.9	"poor"	8.806258	0	9	54.34497	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.824209	2.079442	9	42.19849	"male"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.824209	2.079442	9	43.19849	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.824209	2.079442	9	44.19849	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	4.366872	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	5.366872	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	6.366872	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	13.20465	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	14.20465	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	15.20465	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	9.497604	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	10.4976	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	11.4976	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	9.824209	2.079442	12	6.976044	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	9.824209	2.079442	12	7.976044	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	9.824209	2.079442	12	8.976044	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	11.89049	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	12.89049	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.824209	2.079442	12	13.89049	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	9.824209	2.079442	12	36.73648	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	9.824209	2.079442	12	37.73648	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	9.824209	2.079442	12	38.73648	"female"	FALSE	TRUE
2	4.564348	TRUE	6.368736	5.755076	FALSE	10.3	"good"	8.40972	0.6931472	10	56.81588	"female"	FALSE	FALSE
0	4.564348	TRUE	6.368736	5.755076	FALSE	10.3	"good"	8.40972	0.6931472	10	57.81588	"female"	FALSE	FALSE
3	4.564348	TRUE	6.368736	5.755076	FALSE	10.3	"good"	8.40972	0.6931472	10	58.81588	"female"	FALSE	FALSE
1	4.564348	TRUE	6.368736	5.755076	FALSE	6.9	"excellent"	8.40972	0.6931472	7	56.71732	"male"	FALSE	FALSE
0	4.564348	TRUE	6.368736	5.755076	FALSE	6.9	"excellent"	8.40972	0.6931472	7	57.71732	"male"	FALSE	FALSE
2	4.564348	TRUE	6.368736	5.755076	FALSE	6.9	"excellent"	8.40972	0.6931472	7	58.71732	"male"	FALSE	FALSE
1	4.564348	TRUE	6.651572	5.755076	FALSE	13.8	"excellent"	8.82059	0.6931472	10	35.6167	"male"	FALSE	FALSE
1	4.564348	TRUE	6.651572	5.755076	FALSE	13.8	"excellent"	8.82059	0.6931472	10	36.6167	"male"	FALSE	FALSE
5	4.564348	TRUE	6.651572	5.755076	FALSE	13.8	"excellent"	8.82059	0.6931472	10	37.6167	"male"	FALSE	FALSE
2	4.564348	TRUE	6.651572	5.755076	FALSE	13.8	"excellent"	8.82059	0.6931472	10	38.6167	"male"	FALSE	FALSE
4	4.564348	TRUE	6.651572	5.755076	FALSE	13.8	"excellent"	8.82059	0.6931472	10	39.6167	"male"	FALSE	FALSE
0	4.564348	TRUE	6.651572	5.755076	FALSE	10.57626	"excellent"	8.82059	0.6931472	10	7.975359	"male"	TRUE	FALSE
3	4.564348	TRUE	6.651572	5.755076	FALSE	10.57626	"excellent"	8.82059	0.6931472	10	8.975359	"male"	TRUE	FALSE
4	4.564348	TRUE	6.651572	5.755076	FALSE	10.57626	"excellent"	8.82059	0.6931472	10	9.975359	"male"	TRUE	FALSE
2	4.564348	TRUE	6.651572	5.755076	FALSE	10.57626	"excellent"	8.82059	0.6931472	10	10.97536	"male"	TRUE	FALSE
1	4.564348	TRUE	6.651572	5.755076	FALSE	10.57626	"excellent"	8.82059	0.6931472	10	11.97536	"male"	TRUE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	3.556468	"male"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	4.556468	"male"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	3.4	"excellent"	4.840347	1.94591	8	16.47912	"female"	TRUE	TRUE
1	3.258096	FALSE	6.55108	7.937375	FALSE	3.4	"excellent"	4.840347	1.94591	8	17.47912	"female"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	10.05339	"female"	TRUE	TRUE
2	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	11.05339	"female"	TRUE	TRUE
1	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.609438	8	12.05339	"female"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.609438	8	13.05339	"female"	TRUE	TRUE
2	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	14.07529	"female"	TRUE	TRUE
1	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	15.07529	"female"	TRUE	TRUE
3	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.609438	8	16.07529	"female"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.609438	8	17.07529	"female"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	12.3833	"male"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.94591	8	13.3833	"male"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.609438	8	14.3833	"male"	TRUE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.57626	"excellent"	4.840347	1.609438	8	15.3833	"male"	TRUE	TRUE
1	3.258096	FALSE	6.55108	7.937375	TRUE	17.2	"fair"	4.840347	1.94591	8	51.436	"female"	FALSE	TRUE
2	3.258096	FALSE	6.55108	7.937375	TRUE	17.2	"fair"	4.840347	1.94591	8	52.436	"female"	FALSE	TRUE
2	3.258096	FALSE	6.55108	7.937375	TRUE	17.2	"fair"	4.840347	1.609438	8	53.436	"female"	FALSE	TRUE
3	3.258096	FALSE	6.55108	7.937375	TRUE	17.2	"fair"	4.840347	1.609438	8	54.436	"female"	FALSE	TRUE
3	3.258096	FALSE	6.55108	7.937375	FALSE	10.3	"excellent"	4.840347	1.94591	8	17.97673	"female"	TRUE	TRUE
2	3.258096	FALSE	6.55108	7.937375	FALSE	10.3	"excellent"	4.840347	1.94591	8	18.97673	"female"	FALSE	TRUE
1	3.258096	FALSE	6.55108	7.937375	FALSE	10.3	"excellent"	4.840347	1.609438	8	19.97673	"female"	FALSE	TRUE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.3	"excellent"	4.840347	1.609438	8	20.97673	"female"	FALSE	TRUE
5	0	FALSE	6.031934	0	TRUE	10.57626	"excellent"	9.305509	0.6931472	12	47.63313	"female"	FALSE	FALSE
2	0	FALSE	6.031934	0	TRUE	10.57626	"excellent"	9.305509	0.6931472	12	48.63313	"female"	FALSE	FALSE
4	0	FALSE	6.031934	0	TRUE	10.57626	"excellent"	9.305509	0.6931472	12	49.63313	"female"	FALSE	FALSE
2	0	FALSE	6.031934	0	TRUE	10.57626	"excellent"	9.305509	0.6931472	11	50.57358	"male"	FALSE	FALSE
1	0	FALSE	6.031934	0	TRUE	10.57626	"excellent"	9.305509	0.6931472	11	51.57358	"male"	FALSE	FALSE
2	0	FALSE	6.031934	0	TRUE	10.57626	"excellent"	9.305509	0.6931472	11	52.57358	"male"	FALSE	FALSE
5	4.564348	TRUE	6.183674	6.160541	FALSE	3.4	"excellent"	8.952219	1.098612	16	16.2245	"male"	TRUE	FALSE
0	4.564348	TRUE	6.183674	6.160541	FALSE	3.4	"excellent"	8.952219	1.098612	16	17.2245	"male"	TRUE	FALSE
0	4.564348	TRUE	6.183674	6.160541	FALSE	3.4	"excellent"	8.952219	1.098612	16	18.2245	"male"	FALSE	FALSE
5	4.564348	TRUE	6.183674	6.160541	FALSE	3.4	"excellent"	8.952219	1.098612	20	47.04449	"male"	FALSE	FALSE
0	4.564348	TRUE	6.183674	6.160541	FALSE	3.4	"excellent"	8.952219	1.098612	20	48.04449	"male"	FALSE	FALSE
0	4.564348	TRUE	6.183674	6.160541	FALSE	3.4	"excellent"	8.952219	1.098612	20	49.04449	"male"	FALSE	FALSE
8	4.564348	TRUE	6.183674	6.160541	FALSE	10.3	"good"	8.952219	1.098612	16	43.24162	"female"	FALSE	FALSE
1	4.564348	TRUE	6.183674	6.160541	FALSE	10.3	"good"	8.952219	1.098612	16	44.24162	"female"	FALSE	FALSE
4	4.564348	TRUE	6.183674	6.160541	FALSE	10.3	"good"	8.952219	1.098612	16	45.24162	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.645434	1.609438	18	41.71389	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.645434	1.609438	18	42.71389	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.645434	1.609438	18	43.71389	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.645434	1.609438	12	14.10814	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.645434	1.609438	12	15.10814	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.645434	1.609438	12	16.10814	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.645434	1.609438	12	17.87269	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.645434	1.609438	12	18.87269	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.645434	1.609438	12	19.87269	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	6.9	"good"	9.645434	1.609438	12	41.69747	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	6.9	"good"	9.645434	1.609438	12	42.69747	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	6.9	"good"	9.645434	1.609438	12	43.69747	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.645434	1.609438	12	16.21082	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.645434	1.609438	12	17.21082	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.645434	1.609438	12	18.21082	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	20.7	"good"	9.340818	1.386294	12	34.33265	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	20.7	"good"	9.340818	1.386294	12	35.33265	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.340818	1.386294	12	36.33265	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"good"	9.340818	1.386294	12	10.00411	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"good"	9.340818	1.386294	12	11.00411	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"good"	9.340818	1.386294	12	12.00411	"female"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	13.8	"excellent"	9.340818	1.386294	12	31.30185	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	9.340818	1.386294	12	32.30185	"female"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	13.8	"excellent"	9.340818	1.386294	12	33.30185	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	13.8	"good"	9.30243	1.386294	15	27.54004	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	13.8	"good"	9.30243	1.386294	15	28.54004	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	13.8	"good"	9.30243	1.386294	15	29.54004	"male"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	13.8	"good"	9.30243	1.386294	15	30.54004	"male"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	13.8	"good"	9.30243	1.609438	15	31.54004	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	13.25667	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	14.25667	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	15.25667	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	13.25667	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	14.25667	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	15.25667	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	11.09103	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	12.09103	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.57626	"good"	8.386767	1.609438	8	13.09103	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.3	"excellent"	8.386767	1.609438	7	32.10404	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.3	"excellent"	8.386767	1.609438	7	33.10404	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	10.3	"excellent"	8.386767	1.609438	7	34.10404	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	3.4	"good"	8.386767	1.609438	8	28.63518	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	3.4	"good"	8.386767	1.609438	8	29.63518	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.804848	FALSE	3.4	"good"	8.386767	1.609438	8	30.63518	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.279862	1.386294	8	23.18138	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.279862	1.609438	8	24.18138	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	0	"excellent"	8.279862	1.791759	8	25.18138	"male"	FALSE	TRUE
8	0	FALSE	0	0	FALSE	20.7	"good"	8.279862	1.386294	13	21.49487	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	20.7	"good"	8.279862	1.609438	13	22.49487	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	20.7	"good"	8.279862	1.791759	13	23.49487	"female"	FALSE	TRUE
16	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	9.185741	1.386294	9	13.90281	"male"	TRUE	FALSE
19	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	9.185741	1.386294	9	14.90281	"male"	TRUE	FALSE
14	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	9.185741	1.386294	9	15.90281	"male"	TRUE	FALSE
17	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	9.185741	1.386294	9	16.90281	"male"	TRUE	FALSE
7	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	9.185741	1.386294	9	17.90281	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"fair"	9.185741	1.386294	9	15.00342	"male"	TRUE	FALSE
9	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"fair"	9.185741	1.386294	9	16.00342	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"fair"	9.185741	1.386294	9	17.00342	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"fair"	9.185741	1.386294	9	18.00342	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"fair"	9.185741	1.386294	9	19.00342	"male"	FALSE	FALSE
9	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	9.185741	1.386294	5	38.89117	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	9.185741	1.386294	5	39.89117	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	9.185741	1.386294	5	40.89117	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	9.185741	1.386294	5	41.89117	"male"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	TRUE	24.1	"fair"	9.185741	1.386294	5	42.89117	"male"	FALSE	FALSE
21	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"poor"	9.185741	1.386294	9	31.74812	"female"	FALSE	FALSE
23	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"poor"	9.185741	1.386294	9	32.74812	"female"	FALSE	FALSE
21	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"poor"	9.185741	1.386294	9	33.74812	"female"	FALSE	FALSE
27	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"poor"	9.185741	1.386294	9	34.74812	"female"	FALSE	FALSE
29	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"poor"	9.185741	1.386294	9	35.74812	"female"	FALSE	FALSE
12	4.564348	FALSE	6.907755	6.959049	TRUE	31	"fair"	9.243475	1.386294	13	34.38741	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	31	"fair"	9.243475	1.386294	13	35.38741	"female"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	TRUE	31	"fair"	9.243475	1.386294	13	36.38741	"female"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"fair"	9.243475	1.386294	13	9.952087	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"fair"	9.243475	1.386294	13	10.95209	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"fair"	9.243475	1.386294	13	11.95209	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.243475	1.386294	12	35.44695	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.243475	1.386294	12	36.44695	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	9.243475	1.386294	12	37.44695	"male"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"fair"	9.243475	1.386294	13	9.040383	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"fair"	9.243475	1.386294	13	10.04038	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"fair"	9.243475	1.386294	13	11.04038	"male"	TRUE	FALSE
3	0	FALSE	6.254329	0	FALSE	10.57626	"excellent"	9.481182	1.386294	11	9.470226	"male"	TRUE	FALSE
1	0	FALSE	6.254329	0	FALSE	10.57626	"excellent"	9.481182	1.386294	11	10.47023	"male"	TRUE	FALSE
5	0	FALSE	6.254329	0	FALSE	10.57626	"excellent"	9.481182	1.386294	11	11.47023	"male"	TRUE	FALSE
7	0	FALSE	6.254329	0	FALSE	10.57626	"excellent"	9.481182	1.386294	11	12.47023	"male"	TRUE	FALSE
4	0	FALSE	6.254329	0	FALSE	10.57626	"excellent"	9.481182	1.386294	11	13.47023	"male"	TRUE	FALSE
0	0	FALSE	6.254329	0	FALSE	0	"excellent"	9.481182	1.386294	11	17.88912	"female"	TRUE	FALSE
5	0	FALSE	6.254329	0	FALSE	0	"excellent"	9.481182	1.386294	11	18.88912	"female"	FALSE	FALSE
0	0	FALSE	6.254329	0	FALSE	0	"excellent"	9.481182	1.386294	11	19.88912	"female"	FALSE	FALSE
3	0	FALSE	6.254329	0	FALSE	0	"excellent"	9.481182	1.386294	11	20.88912	"female"	FALSE	FALSE
10	0	FALSE	6.254329	0	FALSE	0	"excellent"	9.481182	1.386294	11	21.88912	"female"	FALSE	FALSE
9	0	FALSE	6.254329	0	FALSE	34.5	"good"	9.481182	1.386294	14	52.63244	"male"	FALSE	FALSE
13	0	FALSE	6.254329	0	FALSE	34.5	"good"	9.481182	1.386294	14	53.63244	"male"	FALSE	FALSE
22	0	FALSE	6.254329	0	FALSE	34.5	"good"	9.481182	1.386294	14	54.63244	"male"	FALSE	FALSE
14	0	FALSE	6.254329	0	FALSE	34.5	"good"	9.481182	1.386294	14	55.63244	"male"	FALSE	FALSE
17	0	FALSE	6.254329	0	FALSE	34.5	"good"	9.481182	1.386294	14	56.63244	"male"	FALSE	FALSE
2	0	FALSE	6.254329	0	FALSE	10.3	"excellent"	9.481182	1.386294	11	46.33812	"female"	FALSE	FALSE
1	0	FALSE	6.254329	0	FALSE	10.3	"excellent"	9.481182	1.386294	11	47.33812	"female"	FALSE	FALSE
1	0	FALSE	6.254329	0	FALSE	10.3	"excellent"	9.481182	1.386294	11	48.33812	"female"	FALSE	FALSE
1	0	FALSE	6.254329	0	FALSE	10.3	"excellent"	9.481182	1.386294	11	49.33812	"female"	FALSE	FALSE
5	0	FALSE	6.254329	0	FALSE	10.3	"excellent"	9.481182	1.386294	11	50.33812	"female"	FALSE	FALSE
2	3.258096	FALSE	6.55108	7.937375	FALSE	10.3	"excellent"	9.273339	0	16	39.02259	"female"	FALSE	FALSE
0	3.258096	FALSE	6.55108	7.937375	FALSE	10.3	"excellent"	9.273339	0	16	40.02259	"female"	FALSE	FALSE
8	3.258096	FALSE	6.55108	7.937375	FALSE	10.3	"excellent"	9.273339	0	16	41.02259	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	9.346946	1.098612	8	32.33128	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	9.346946	1.098612	8	33.33128	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	9.346946	1.098612	8	34.33128	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	9.346946	1.098612	8	35.33128	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	9.346946	1.098612	8	36.33128	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	9.346946	1.098612	8	13.24298	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	9.346946	1.098612	8	14.24298	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	9.346946	1.098612	8	15.24298	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	9.346946	1.098612	8	16.24298	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	9.346946	1.098612	8	17.24298	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	9.346946	1.098612	8	12.32033	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	9.346946	1.098612	8	13.32033	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	9.346946	1.098612	8	14.32033	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	9.346946	1.098612	8	15.32033	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	9.346946	1.098612	8	16.32033	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	11	22.68309	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	11	23.68309	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	11	24.68309	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	11	25.68309	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	11	26.68309	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	13	21.60164	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	13	22.60164	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	13	23.60164	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	13	24.60164	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.582716	0.6931472	13	25.60164	"female"	FALSE	FALSE
0	4.564348	FALSE	4.945919	4.997212	FALSE	10.3	"good"	3.964906	1.609438	9	18.83368	"male"	FALSE	TRUE
0	4.564348	FALSE	4.945919	4.997212	FALSE	10.3	"good"	3.964906	1.791759	9	19.83368	"male"	FALSE	TRUE
0	4.564348	FALSE	4.945919	4.997212	FALSE	10.3	"good"	3.964906	1.791759	9	20.83368	"male"	FALSE	TRUE
0	4.564348	FALSE	4.945919	4.997212	FALSE	10.57626	"fair"	3.964906	1.609438	8	13.48392	"female"	TRUE	TRUE
0	4.564348	FALSE	4.945919	4.997212	FALSE	10.57626	"fair"	3.964906	1.791759	8	14.48392	"female"	TRUE	TRUE
0	4.564348	FALSE	4.945919	4.997212	FALSE	10.57626	"fair"	3.964906	1.791759	8	15.48392	"female"	TRUE	TRUE
0	4.564348	FALSE	4.945919	4.997212	TRUE	0	"good"	3.964906	1.609438	8	17.859	"female"	TRUE	TRUE
3	4.564348	FALSE	4.945919	4.997212	TRUE	0	"good"	3.964906	1.791759	8	18.859	"female"	FALSE	TRUE
3	4.564348	FALSE	4.945919	4.997212	TRUE	0	"good"	3.964906	1.791759	8	19.859	"female"	FALSE	TRUE
0	4.564348	FALSE	4.945919	4.997212	TRUE	10.3	"poor"	3.964906	1.609438	8	37.13073	"female"	FALSE	TRUE
0	4.564348	FALSE	4.945919	4.997212	TRUE	10.3	"poor"	3.964906	1.791759	8	38.13073	"female"	FALSE	TRUE
1	4.564348	FALSE	4.945919	4.997212	TRUE	10.3	"poor"	3.964906	1.791759	8	39.13073	"female"	FALSE	TRUE
0	4.564348	FALSE	4.945919	4.997212	FALSE	0	"fair"	3.964906	1.609438	8	16.3833	"male"	TRUE	TRUE
0	4.564348	FALSE	4.945919	4.997212	FALSE	0	"fair"	3.964906	1.791759	8	17.3833	"male"	TRUE	TRUE
1	4.564348	FALSE	4.945919	4.997212	FALSE	0	"fair"	3.964906	1.791759	8	18.3833	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"excellent"	8.79391	1.098612	12	25.18275	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"excellent"	8.79391	1.098612	12	26.18275	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"excellent"	8.79391	1.098612	12	27.18275	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"excellent"	8.79391	1.098612	12	28.18275	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"excellent"	8.79391	1.098612	12	29.18275	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.79391	1.098612	12	22.56537	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.79391	1.098612	12	23.56537	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.79391	1.098612	12	24.56537	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.79391	1.098612	12	25.56537	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.79391	1.098612	12	26.56537	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.79391	1.098612	12	4.010952	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.79391	1.098612	12	5.010952	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.79391	1.098612	12	6.010952	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.79391	1.098612	12	7.010952	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.79391	1.098612	12	8.010951	"female"	TRUE	FALSE
0	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.609438	9	3.08282	"female"	TRUE	TRUE
1	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.609438	9	4.08282	"female"	TRUE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.386294	9	5.08282	"female"	TRUE	TRUE
2	4.564348	FALSE	2.960105	3.011398	FALSE	13.8	"good"	8.306131	1.609438	9	32.11499	"female"	FALSE	TRUE
4	4.564348	FALSE	2.960105	3.011398	FALSE	13.8	"good"	8.306131	1.609438	9	33.11499	"female"	FALSE	TRUE
1	4.564348	FALSE	2.960105	3.011398	FALSE	13.8	"good"	8.306131	1.386294	9	34.11499	"female"	FALSE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	0	"good"	8.306131	1.609438	9	15.26078	"male"	TRUE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	0	"good"	8.306131	1.609438	9	16.26078	"male"	TRUE	TRUE
1	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.609438	9	9.201917	"male"	TRUE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.609438	9	10.20192	"male"	TRUE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.386294	9	11.20192	"male"	TRUE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.609438	9	13.82067	"male"	TRUE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.609438	9	14.82067	"male"	TRUE	TRUE
0	4.564348	FALSE	2.960105	3.011398	FALSE	10.57626	"good"	8.306131	1.386294	9	15.82067	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.0987	1.098612	12	28.79945	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.0987	1.098612	12	29.79945	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.0987	1.098612	12	30.79945	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.0987	1.098612	12	3.698836	"female"	TRUE	FALSE
16	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.0987	1.098612	12	4.698836	"female"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.0987	1.098612	12	5.698836	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.0987	1.098612	12	23.69062	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.0987	1.098612	12	24.69062	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"excellent"	9.0987	1.098612	12	25.69062	"male"	FALSE	FALSE
1	0	FALSE	5.294309	0	FALSE	0	"excellent"	8.691714	1.098612	12	22.87474	"female"	FALSE	TRUE
4	0	FALSE	5.294309	0	FALSE	0	"excellent"	8.691714	1.098612	12	23.87474	"female"	FALSE	TRUE
2	0	FALSE	5.294309	0	FALSE	0	"excellent"	8.691714	1.386294	12	24.87474	"female"	FALSE	TRUE
2	0	FALSE	5.294309	0	FALSE	10.57626	"excellent"	8.691714	1.098612	12	5.598905	"male"	TRUE	TRUE
0	0	FALSE	5.294309	0	FALSE	10.57626	"excellent"	8.691714	1.098612	12	6.598905	"male"	TRUE	TRUE
1	0	FALSE	5.294309	0	FALSE	10.57626	"excellent"	8.691714	1.386294	12	7.598905	"male"	TRUE	TRUE
1	0	FALSE	5.294309	0	FALSE	0	"excellent"	8.691714	1.098612	11	26.30253	"male"	FALSE	TRUE
2	0	FALSE	5.294309	0	FALSE	0	"excellent"	8.691714	1.098612	11	27.30253	"male"	FALSE	TRUE
4	0	FALSE	5.294309	0	FALSE	0	"excellent"	8.691714	1.386294	11	28.30253	"male"	FALSE	TRUE
1	0	FALSE	4.992878	0	FALSE	20.7	"excellent"	8.544662	0.6931472	16	26.87748	"female"	FALSE	TRUE
0	0	FALSE	4.992878	0	FALSE	20.7	"excellent"	8.544662	0.6931472	16	27.87748	"female"	FALSE	TRUE
3	0	FALSE	4.992878	0	FALSE	10.57626	"excellent"	8.544662	0.6931472	16	5.598905	"male"	TRUE	TRUE
5	0	FALSE	4.992878	0	FALSE	10.57626	"excellent"	8.544662	0.6931472	16	6.598905	"male"	TRUE	TRUE
4	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.337023	1.386294	16	28.5859	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.337023	1.386294	16	29.5859	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.337023	1.386294	16	30.5859	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.337023	1.386294	16	31.5859	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.337023	1.386294	16	32.5859	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.337023	1.386294	16	2.422998	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.337023	1.386294	16	3.422998	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.337023	1.386294	16	4.422998	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.337023	1.386294	16	5.422998	"male"	TRUE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.337023	1.386294	16	6.422998	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.337023	1.386294	16	5.549623	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.337023	1.386294	16	6.549623	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.337023	1.386294	16	7.549623	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.337023	1.386294	16	8.549623	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.337023	1.386294	16	9.549623	"female"	TRUE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.337023	1.386294	13	29.28131	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.337023	1.386294	13	30.28131	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.337023	1.386294	13	31.28131	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.337023	1.386294	13	32.28131	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.337023	1.386294	13	33.28131	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.489571	1.098612	12	8.533881	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.489571	1.098612	12	9.533881	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.489571	1.098612	12	10.53388	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.489571	1.098612	12	14.61191	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.489571	1.098612	12	15.61191	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.489571	1.098612	12	16.61191	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.489571	1.098612	12	32.07118	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.489571	1.098612	12	33.07118	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.489571	1.098612	12	34.07118	"female"	FALSE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	7.655031	"male"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	8.655031	"male"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	9.655031	"male"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	10.65503	"male"	TRUE	TRUE
1	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	11.65503	"male"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	6.162902	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	7.162902	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	8.162902	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	9.162902	"female"	TRUE	TRUE
1	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	10.1629	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	24.1	"excellent"	7.745945	1.386294	11	21.68652	"female"	FALSE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	24.1	"excellent"	7.745945	1.386294	11	22.68652	"female"	FALSE	TRUE
2	4.564348	FALSE	5.349961	5.401254	FALSE	24.1	"excellent"	7.745945	1.386294	11	23.68652	"female"	FALSE	TRUE
1	4.564348	FALSE	5.349961	5.401254	FALSE	24.1	"excellent"	7.745945	1.386294	11	24.68652	"female"	FALSE	TRUE
2	4.564348	FALSE	5.349961	5.401254	FALSE	24.1	"excellent"	7.745945	1.386294	11	25.68652	"female"	FALSE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	1.097878	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	2.097878	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	3.097878	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	4.097878	"female"	TRUE	TRUE
0	4.564348	FALSE	5.349961	5.401254	FALSE	10.57626	"excellent"	7.745945	1.386294	11	5.097878	"female"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	9.135954	0.6931472	15	58.13279	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	9.135954	0.6931472	15	59.13279	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	9.135954	0.6931472	15	60.13279	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.135954	0.6931472	15	59.75359	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.135954	0.6931472	15	60.75359	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	9.135954	0.6931472	15	61.75359	"male"	FALSE	FALSE
1	3.258096	FALSE	0	8.006368	FALSE	10.57626	"good"	8.806258	1.609438	8	8.005476	"male"	TRUE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"good"	8.806258	1.609438	8	9.005476	"male"	TRUE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"good"	8.806258	1.609438	8	10.00548	"male"	TRUE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"fair"	8.806258	1.609438	8	11.67967	"female"	TRUE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"fair"	8.806258	1.609438	8	12.67967	"female"	TRUE	FALSE
1	3.258096	FALSE	0	8.006368	FALSE	10.57626	"fair"	8.806258	1.609438	8	13.67967	"female"	TRUE	FALSE
3	3.258096	FALSE	0	8.006368	FALSE	6.9	"good"	8.806258	1.609438	7	31.45243	"male"	FALSE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"good"	8.806258	1.609438	7	32.45243	"male"	FALSE	FALSE
1	3.258096	FALSE	0	8.006368	FALSE	6.9	"good"	8.806258	1.609438	7	33.45243	"male"	FALSE	FALSE
4	3.258096	FALSE	0	8.006368	FALSE	27.6	"good"	8.806258	1.609438	8	27.93155	"female"	FALSE	FALSE
1	3.258096	FALSE	0	8.006368	FALSE	27.6	"good"	8.806258	1.609438	8	28.93155	"female"	FALSE	FALSE
2	3.258096	FALSE	0	8.006368	FALSE	27.6	"good"	8.806258	1.609438	8	29.93155	"female"	FALSE	FALSE
2	3.258096	FALSE	0	8.006368	FALSE	10.57626	"good"	8.806258	1.609438	8	4.848734	"male"	TRUE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"good"	8.806258	1.609438	8	5.848734	"male"	TRUE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"good"	8.806258	1.609438	8	6.848734	"male"	TRUE	FALSE
6	4.564348	TRUE	6.507039	5.755076	TRUE	17.2	"fair"	8.679253	0.6931472	2	56.69815	"female"	FALSE	FALSE
5	4.564348	TRUE	6.507039	5.755076	TRUE	17.2	"fair"	8.679253	0.6931472	2	57.69815	"female"	FALSE	FALSE
7	4.564348	TRUE	6.507039	5.755076	TRUE	17.2	"fair"	8.679253	0.6931472	2	58.69815	"female"	FALSE	FALSE
3	4.564348	TRUE	5.928099	5.755076	FALSE	3.4	"good"	8.200166	0.6931472	12	25.68378	"male"	FALSE	TRUE
0	4.564348	TRUE	5.928099	5.755076	FALSE	3.4	"good"	8.200166	0.6931472	12	26.68378	"male"	FALSE	TRUE
0	4.564348	TRUE	5.928099	5.755076	FALSE	3.4	"good"	8.200166	0.6931472	12	27.68378	"male"	FALSE	TRUE
2	4.564348	TRUE	6.507039	5.755076	FALSE	10.3	"good"	8.679253	0.6931472	9	51.02533	"male"	FALSE	FALSE
2	4.564348	TRUE	6.507039	5.755076	FALSE	10.3	"good"	8.679253	0.6931472	9	52.02533	"male"	FALSE	FALSE
4	4.564348	TRUE	6.507039	5.755076	FALSE	10.3	"good"	8.679253	0.6931472	9	53.02533	"male"	FALSE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	8.806258	1.386294	9	18.81177	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	8.806258	1.386294	9	19.81177	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	8.806258	1.386294	9	20.81177	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.3	"excellent"	8.806258	1.386294	7	17.53867	"male"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.3	"excellent"	8.806258	1.386294	7	18.53867	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.3	"excellent"	8.806258	1.386294	7	19.53867	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	8.806258	1.386294	7	14.00137	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	8.806258	1.386294	7	15.00137	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	8.806258	1.386294	7	16.00137	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	13.8	"good"	8.806258	1.386294	7	51.34839	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	13.8	"good"	8.806258	1.386294	7	52.34839	"female"	FALSE	TRUE
1	3.258096	FALSE	0	8.006368	FALSE	13.8	"good"	8.806258	1.386294	7	53.34839	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.752597	1.386294	11	16.77481	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.752597	1.386294	11	17.77481	"male"	TRUE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.752597	1.386294	12	36.42437	"male"	FALSE	TRUE
11	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.752597	1.386294	12	37.42437	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.752597	1.386294	12	38.42437	"male"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.752597	1.098612	12	39.42437	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.752597	1.098612	12	40.42437	"male"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.752597	1.386294	11	14.38193	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.752597	1.386294	11	15.38193	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.752597	1.386294	11	16.38193	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.752597	1.386294	11	33.21561	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.752597	1.386294	11	34.21561	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.752597	1.386294	11	35.21561	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.752597	1.098612	11	36.21561	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.752597	1.098612	11	37.21561	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	7.600891	1.609438	11	14.09993	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	7.600891	1.609438	11	15.09993	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	7.600891	1.791759	11	16.09993	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.600891	1.609438	11	17.57153	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.600891	1.609438	11	18.57153	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.600891	1.791759	11	19.57153	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.600891	1.609438	11	16.53114	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.600891	1.609438	11	17.53114	"female"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	7.600891	1.791759	11	18.53114	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.600891	1.609438	10	45.02943	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.600891	1.609438	10	46.02943	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	7.600891	1.791759	10	47.02943	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	7.600891	1.609438	11	42.10267	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	7.600891	1.609438	11	43.10267	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"excellent"	7.600891	1.791759	11	44.10267	"female"	FALSE	TRUE
0	3.258096	FALSE	0	6.635421	TRUE	10.57626	"fair"	7.303772	0.6931472	6	48.95551	"female"	FALSE	TRUE
0	3.258096	FALSE	0	6.635421	TRUE	10.57626	"fair"	7.303772	0.6931472	6	49.95551	"female"	FALSE	TRUE
0	3.258096	FALSE	0	6.635421	TRUE	10.57626	"fair"	7.303772	0	6	50.95551	"female"	FALSE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.3	"good"	8.420296	1.098612	10	40.77481	"female"	FALSE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.3	"good"	8.420296	1.098612	10	41.77481	"female"	FALSE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.3	"good"	8.420296	1.098612	10	42.77481	"female"	FALSE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.3	"good"	8.420296	1.098612	10	43.77481	"female"	FALSE	TRUE
1	3.931826	FALSE	0	6.984716	FALSE	10.3	"good"	8.420296	1.098612	10	44.77481	"female"	FALSE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	13.32786	"male"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	14.32786	"male"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	15.32786	"male"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	16.32786	"male"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	17.32786	"male"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	11.78097	"female"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	12.78097	"female"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	13.78097	"female"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	14.78097	"female"	TRUE	TRUE
0	3.931826	FALSE	0	6.984716	FALSE	10.57626	"good"	8.420296	1.098612	10	15.78097	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	7.079073	2.197225	8	14.36277	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	7.079073	1.791759	8	15.36277	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	7.079073	1.791759	8	16.36276	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	7.079073	2.197225	8	40.42163	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	7.079073	1.791759	8	41.42163	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	7.079073	1.791759	8	42.42163	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	2.197225	8	9.995893	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	1.791759	8	10.99589	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	1.791759	8	11.99589	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	7.079073	2.197225	9	18.98973	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	2.197225	8	11.0883	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	1.791759	8	12.0883	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	1.791759	8	13.0883	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	7.079073	2.197225	8	15.44969	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	7.079073	1.791759	8	16.44969	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	7.079073	1.791759	8	17.44969	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	2.197225	8	12.8679	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	1.791759	8	13.8679	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.079073	1.791759	8	14.8679	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	7.079073	2.197225	8	17.78234	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	TRUE	10.57626	"excellent"	8.36394	1.386294	10	10.60643	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	TRUE	10.57626	"excellent"	8.36394	1.386294	10	11.60643	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	TRUE	10.57626	"excellent"	8.36394	1.386294	10	12.60643	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	TRUE	10.57626	"excellent"	8.36394	1.386294	10	13.60643	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	TRUE	10.57626	"excellent"	8.36394	1.386294	10	14.60643	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	8.013689	"male"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	9.013689	"male"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	10.01369	"male"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	11.01369	"male"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	12.01369	"male"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	9.442847	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	10.44285	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	11.44285	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	12.44285	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	10.57626	"excellent"	8.36394	1.386294	10	13.44285	"female"	TRUE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	3.4	"fair"	8.36394	1.386294	10	30.08077	"female"	FALSE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	3.4	"fair"	8.36394	1.386294	10	31.08077	"female"	FALSE	TRUE
1	3.931826	FALSE	6.867558	7.560705	FALSE	3.4	"fair"	8.36394	1.386294	10	32.08076	"female"	FALSE	TRUE
1	3.931826	FALSE	6.867558	7.560705	FALSE	3.4	"fair"	8.36394	1.386294	10	33.08076	"female"	FALSE	TRUE
0	3.931826	FALSE	6.867558	7.560705	FALSE	3.4	"fair"	8.36394	1.386294	10	34.08076	"female"	FALSE	TRUE
0	0	FALSE	6.656212	0	FALSE	13.8	"fair"	9.19095	1.098612	9	59.19781	"male"	FALSE	TRUE
0	0	FALSE	6.656212	0	FALSE	13.8	"fair"	9.19095	1.098612	9	60.19781	"male"	FALSE	TRUE
0	0	FALSE	6.656212	0	FALSE	13.8	"fair"	9.19095	1.098612	9	61.19781	"male"	FALSE	TRUE
0	0	FALSE	6.656212	0	FALSE	3.4	"excellent"	9.19095	1.098612	11	32.15879	"female"	FALSE	TRUE
3	0	FALSE	6.656212	0	FALSE	3.4	"excellent"	9.19095	1.098612	11	33.15879	"female"	FALSE	TRUE
2	0	FALSE	6.656212	0	FALSE	3.4	"excellent"	9.19095	1.098612	11	34.15879	"female"	FALSE	TRUE
0	0	FALSE	6.656212	0	FALSE	20.7	"fair"	9.19095	1.098612	11	50.9514	"female"	FALSE	TRUE
0	0	FALSE	6.656212	0	FALSE	20.7	"fair"	9.19095	1.098612	11	51.9514	"female"	FALSE	TRUE
0	0	FALSE	6.656212	0	FALSE	20.7	"fair"	9.19095	1.098612	11	52.9514	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	0	"good"	8.049173	1.386294	9	18.55989	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	0	"good"	8.049173	1.609438	9	19.55989	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	0	"good"	8.049173	1.609438	9	20.55989	"female"	FALSE	TRUE
2	4.564348	TRUE	0	6.160541	TRUE	0	"good"	8.049173	1.609438	9	21.55989	"female"	FALSE	TRUE
7	4.564348	TRUE	0	6.160541	TRUE	0	"good"	8.049173	1.94591	9	22.55989	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.049173	1.386294	10	48.23272	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.049173	1.609438	10	49.23272	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.049173	1.609438	10	50.23272	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.049173	1.609438	10	51.23272	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.049173	1.94591	10	52.23272	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	0	"good"	8.049173	1.386294	14	22.91034	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	0	"good"	8.049173	1.609438	14	23.91034	"female"	FALSE	TRUE
3	4.564348	TRUE	0	6.160541	FALSE	0	"good"	8.049173	1.609438	14	24.91034	"female"	FALSE	TRUE
3	4.564348	TRUE	0	6.160541	FALSE	0	"good"	8.049173	1.609438	14	25.91034	"female"	FALSE	TRUE
2	4.564348	TRUE	0	6.160541	FALSE	0	"good"	8.049173	1.94591	14	26.91034	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.049173	1.386294	10	3.154004	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.049173	1.609438	10	4.154004	"male"	TRUE	TRUE
3	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.049173	1.609438	10	5.154004	"male"	TRUE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.049173	1.609438	10	6.154004	"male"	TRUE	TRUE
2	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.049173	1.94591	10	7.154004	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	9.076469	1.098612	12	25.44285	"female"	FALSE	TRUE
3	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	9.076469	1.098612	12	26.44285	"female"	FALSE	TRUE
7	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	9.076469	1.386294	12	27.44285	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.076469	1.098612	12	2.732375	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.076469	1.098612	12	3.732375	"female"	TRUE	TRUE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.076469	1.386294	12	4.732375	"female"	TRUE	TRUE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.076469	1.098612	12	27.93429	"male"	FALSE	TRUE
4	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.076469	1.098612	12	28.93429	"male"	FALSE	TRUE
3	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.076469	1.386294	12	29.93429	"male"	FALSE	TRUE
1	0	FALSE	6.337321	0	FALSE	10.3	"good"	8.378802	0.6931472	6	60.84873	"male"	FALSE	FALSE
3	0	FALSE	6.337321	0	FALSE	10.3	"good"	8.378802	0.6931472	6	61.84873	"male"	FALSE	FALSE
4	0	FALSE	6.337321	0	FALSE	10.3	"good"	8.378802	0.6931472	6	62.84873	"male"	FALSE	FALSE
5	0	FALSE	6.337321	0	FALSE	10.3	"good"	8.378802	0.6931472	12	59.82204	"female"	FALSE	FALSE
6	0	FALSE	6.337321	0	FALSE	10.3	"good"	8.378802	0.6931472	12	60.82204	"female"	FALSE	FALSE
8	0	FALSE	6.337321	0	FALSE	10.3	"good"	8.378802	0.6931472	12	61.82204	"female"	FALSE	FALSE
5	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	10	57.16632	"female"	FALSE	TRUE
4	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	10	58.16632	"female"	FALSE	TRUE
4	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	10	59.16632	"female"	FALSE	TRUE
4	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	10	60.16632	"female"	FALSE	TRUE
5	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	10	61.16632	"female"	FALSE	TRUE
0	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	9	58.91307	"male"	FALSE	TRUE
0	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	9	59.91307	"male"	FALSE	TRUE
0	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	9	60.91307	"male"	FALSE	TRUE
0	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	9	61.91307	"male"	FALSE	TRUE
1	4.564348	FALSE	6.476973	6.528265	FALSE	10.3	"fair"	8.92244	0.6931472	9	62.91307	"male"	FALSE	TRUE
9	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.531702	1.098612	20	32.14237	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.531702	1.098612	20	33.14237	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"excellent"	9.531702	1.386294	20	34.14237	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.868114	1.098612	15	33.68378	"male"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.868114	1.098612	15	34.68378	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.868114	1.098612	15	35.68378	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.868114	1.098612	15	30.53525	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.868114	1.098612	15	31.53525	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.868114	1.098612	15	32.53525	"female"	FALSE	FALSE
2	4.564348	TRUE	6.47148	5.755076	FALSE	10.3	"excellent"	8.965388	0.6931472	11	57.17728	"female"	FALSE	FALSE
8	4.564348	TRUE	6.47148	5.755076	FALSE	10.3	"excellent"	8.965388	0.6931472	11	58.17728	"female"	FALSE	FALSE
2	4.564348	TRUE	6.47148	5.755076	FALSE	10.3	"excellent"	8.965388	0.6931472	11	59.17728	"female"	FALSE	FALSE
3	4.564348	TRUE	6.47148	5.755076	TRUE	27.6	"excellent"	8.965388	0.6931472	11	57.28405	"male"	FALSE	FALSE
2	4.564348	TRUE	6.47148	5.755076	TRUE	27.6	"excellent"	8.965388	0.6931472	11	58.28405	"male"	FALSE	FALSE
4	4.564348	TRUE	6.47148	5.755076	TRUE	27.6	"excellent"	8.965388	0.6931472	11	59.28405	"male"	FALSE	FALSE
3	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	8.559692	0	17	31.41957	"male"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	8.559692	0	17	32.41957	"male"	FALSE	FALSE
4	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	8.559692	0	17	33.41957	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.312057	1.791759	14	11.81383	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.312057	1.791759	14	12.81383	"female"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.312057	1.791759	14	13.81383	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	8.312057	1.791759	14	17.24025	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	8.312057	1.791759	14	18.24025	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	8.312057	1.791759	14	19.24025	"female"	FALSE	TRUE
7	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"fair"	8.312057	1.791759	14	47.46064	"female"	FALSE	TRUE
6	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"fair"	8.312057	1.791759	14	48.46064	"female"	FALSE	TRUE
9	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"fair"	8.312057	1.791759	14	49.46064	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	8.312057	1.791759	14	10.05339	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	8.312057	1.791759	14	11.05339	"female"	TRUE	TRUE
7	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"fair"	8.312057	1.791759	14	12.05339	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.312057	1.791759	10	48.6653	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.312057	1.791759	10	49.6653	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.312057	1.791759	10	50.6653	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.312057	1.791759	14	14.63655	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.312057	1.791759	14	15.63655	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.312057	1.791759	14	16.63655	"male"	TRUE	TRUE
3	0	FALSE	4.526127	0	FALSE	20.7	"poor"	8.141086	0.6931472	8	19.34292	"male"	FALSE	FALSE
5	0	FALSE	4.526127	0	FALSE	20.7	"poor"	8.141086	0.6931472	8	20.34292	"male"	FALSE	FALSE
15	0	FALSE	4.526127	0	FALSE	20.7	"poor"	8.141086	0.6931472	8	21.34292	"male"	FALSE	FALSE
14	0	FALSE	4.526127	0	FALSE	24.1	"fair"	8.141086	0.6931472	7	53.72211	"female"	FALSE	FALSE
4	0	FALSE	4.526127	0	FALSE	24.1	"fair"	8.141086	0.6931472	7	54.72211	"female"	FALSE	FALSE
7	0	FALSE	4.526127	0	FALSE	24.1	"fair"	8.141086	0.6931472	7	55.72211	"female"	FALSE	FALSE
0	3.258096	FALSE	0	5.243861	TRUE	13.8	"good"	7.40215	0.6931472	12	43.96714	"female"	FALSE	TRUE
7	3.258096	FALSE	0	5.243861	TRUE	13.8	"good"	7.40215	0.6931472	12	44.96714	"female"	FALSE	TRUE
3	3.258096	FALSE	0	5.243861	TRUE	13.8	"good"	7.40215	0.6931472	12	45.96714	"female"	FALSE	TRUE
0	3.258096	FALSE	0	5.243861	FALSE	0	"excellent"	7.40215	0.6931472	12	15.25257	"female"	TRUE	TRUE
0	3.258096	FALSE	0	5.243861	FALSE	0	"excellent"	7.40215	0.6931472	12	16.25257	"female"	TRUE	TRUE
2	3.258096	FALSE	0	5.243861	FALSE	0	"excellent"	7.40215	0.6931472	12	17.25257	"female"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	4.440794	"male"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	5.440794	"male"	TRUE	TRUE
2	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	6.440794	"male"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	7.440794	"male"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.609438	11	8.440794	"male"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	20.7	"fair"	8.488963	1.791759	11	34.84189	"female"	FALSE	TRUE
2	4.564348	FALSE	6.802395	6.853688	FALSE	20.7	"fair"	8.488963	1.791759	11	35.84189	"female"	FALSE	TRUE
4	4.564348	FALSE	6.802395	6.853688	FALSE	20.7	"fair"	8.488963	1.791759	11	36.84189	"female"	FALSE	TRUE
12	4.564348	FALSE	6.802395	6.853688	FALSE	20.7	"fair"	8.488963	1.791759	11	37.84189	"female"	FALSE	TRUE
5	4.564348	FALSE	6.802395	6.853688	FALSE	20.7	"fair"	8.488963	1.609438	11	38.84189	"female"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	0	"fair"	8.488963	1.791759	6	40.32854	"male"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	0	"fair"	8.488963	1.791759	6	41.32854	"male"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	0	"fair"	8.488963	1.791759	6	42.32854	"male"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	0	"fair"	8.488963	1.791759	6	43.32854	"male"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	10.34086	"female"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	11.34086	"female"	TRUE	TRUE
1	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	12.34086	"female"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	13.34086	"female"	TRUE	TRUE
2	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.609438	11	14.34086	"female"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"good"	8.488963	1.791759	11	15.8193	"female"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"good"	8.488963	1.791759	11	16.8193	"female"	TRUE	TRUE
1	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"good"	8.488963	1.791759	11	17.8193	"female"	TRUE	TRUE
1	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"good"	8.488963	1.791759	11	18.8193	"female"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	3.4	"good"	8.488963	1.609438	11	19.8193	"female"	FALSE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	11.8193	"male"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	12.8193	"male"	TRUE	TRUE
0	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	13.8193	"male"	TRUE	TRUE
6	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.791759	11	14.8193	"male"	TRUE	TRUE
3	4.564348	FALSE	6.802395	6.853688	FALSE	10.57626	"good"	8.488963	1.609438	11	15.8193	"male"	TRUE	TRUE
9	4.564348	TRUE	6.471356	6.160541	FALSE	24.1	"poor"	8.806258	1.098612	12	51.12115	"female"	FALSE	FALSE
10	4.564348	TRUE	6.471356	6.160541	FALSE	24.1	"poor"	8.806258	1.098612	12	52.12115	"female"	FALSE	FALSE
12	4.564348	TRUE	6.471356	6.160541	FALSE	24.1	"poor"	8.806258	1.098612	12	53.12115	"female"	FALSE	FALSE
18	4.564348	TRUE	6.471356	6.160541	FALSE	10.3	"excellent"	8.806258	1.098612	10.96978	18.0397	"female"	FALSE	FALSE
13	4.564348	TRUE	6.471356	6.160541	FALSE	10.3	"excellent"	8.806258	1.098612	10.96978	19.0397	"female"	FALSE	FALSE
11	4.564348	TRUE	6.471356	6.160541	FALSE	10.3	"excellent"	8.806258	1.098612	10.96978	20.0397	"female"	FALSE	FALSE
6	4.564348	TRUE	6.471356	6.160541	TRUE	10.3	"fair"	8.806258	1.098612	12	55.40589	"male"	FALSE	FALSE
4	4.564348	TRUE	6.471356	6.160541	TRUE	10.3	"fair"	8.806258	1.098612	12	56.40589	"male"	FALSE	FALSE
5	4.564348	TRUE	6.471356	6.160541	TRUE	10.3	"fair"	8.806258	1.098612	12	57.40589	"male"	FALSE	FALSE
0	0	FALSE	5.671328	0	FALSE	0	"excellent"	8.716351	0	14	25.79603	"male"	FALSE	FALSE
4	0	FALSE	5.671328	0	FALSE	0	"excellent"	8.716351	0	14	26.79603	"male"	FALSE	FALSE
3	0	FALSE	5.671328	0	FALSE	0	"excellent"	8.716351	0	14	27.79603	"male"	FALSE	FALSE
1	4.564348	FALSE	5.98202	5.799093	FALSE	10.3	"good"	8.806258	1.098612	7	29.11431	"male"	FALSE	FALSE
0	4.564348	FALSE	5.98202	5.799093	FALSE	10.3	"good"	8.806258	1.098612	7	30.11431	"male"	FALSE	FALSE
0	4.564348	FALSE	5.98202	5.799093	FALSE	10.3	"good"	8.806258	1.098612	7	31.11431	"male"	FALSE	FALSE
3	4.564348	FALSE	5.98202	5.799093	FALSE	20.7	"good"	8.806258	1.098612	8	29.87269	"female"	FALSE	FALSE
5	4.564348	FALSE	5.98202	5.799093	FALSE	20.7	"good"	8.806258	1.098612	8	30.87269	"female"	FALSE	FALSE
2	4.564348	FALSE	5.98202	5.799093	FALSE	20.7	"good"	8.806258	1.098612	8	31.87269	"female"	FALSE	FALSE
6	0	FALSE	6.819711	0	FALSE	6.9	"excellent"	9.122181	1.098612	16	30.56263	"male"	FALSE	FALSE
7	0	FALSE	6.819711	0	FALSE	6.9	"excellent"	9.122181	1.386294	16	31.56263	"male"	FALSE	FALSE
1	0	FALSE	6.819711	0	FALSE	6.9	"excellent"	9.122181	1.386294	16	32.56263	"male"	FALSE	FALSE
1	0	FALSE	6.819711	0	FALSE	10.3	"good"	9.122181	1.098612	16	29.30595	"female"	FALSE	FALSE
3	0	FALSE	6.819711	0	FALSE	10.3	"good"	9.122181	1.386294	16	30.30595	"female"	FALSE	FALSE
0	0	FALSE	6.819711	0	FALSE	10.3	"good"	9.122181	1.386294	16	31.30595	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	7.550755	0	12	23.40315	"male"	FALSE	FALSE
4	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	7.550755	0	12	24.40315	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	10.3	"excellent"	7.550755	0	12	25.40315	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.098612	10	19.26899	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.098612	10	20.26899	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.386294	10	21.26899	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.806258	1.098612	9	38.83368	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.806258	1.098612	9	39.83368	"female"	FALSE	TRUE
10	0	FALSE	0	0	FALSE	0	"good"	8.806258	1.386294	9	40.83368	"female"	FALSE	TRUE
3	3.258096	FALSE	6.210821	7.597116	FALSE	10.57626	"excellent"	8.806258	1.098612	5	12.87885	"male"	TRUE	FALSE
1	3.258096	FALSE	6.210821	7.597116	FALSE	10.57626	"excellent"	8.806258	1.098612	5	13.87885	"male"	TRUE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	10.57626	"excellent"	8.806258	1.098612	5	14.87885	"male"	TRUE	FALSE
3	3.258096	FALSE	6.210821	7.597116	FALSE	10.57626	"excellent"	8.806258	1.098612	5	15.87885	"male"	TRUE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	10.57626	"excellent"	8.806258	1.098612	5	16.87885	"male"	TRUE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	10.3	"excellent"	8.806258	1.098612	8	19.5373	"male"	FALSE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	10.3	"excellent"	8.806258	1.098612	8	20.5373	"male"	FALSE	FALSE
1	3.258096	FALSE	6.210821	7.597116	FALSE	10.3	"excellent"	8.806258	1.098612	8	21.5373	"male"	FALSE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	10.3	"excellent"	8.806258	1.098612	8	22.5373	"male"	FALSE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	10.3	"excellent"	8.806258	1.098612	8	23.5373	"male"	FALSE	FALSE
1	3.258096	FALSE	6.210821	7.597116	FALSE	6.9	"excellent"	8.806258	1.098612	5	54.36003	"female"	FALSE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	6.9	"excellent"	8.806258	1.098612	5	55.36003	"female"	FALSE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	6.9	"excellent"	8.806258	1.098612	5	56.36003	"female"	FALSE	FALSE
0	3.258096	FALSE	6.210821	7.597116	FALSE	6.9	"excellent"	8.806258	1.098612	5	57.36003	"female"	FALSE	FALSE
1	3.258096	FALSE	6.210821	7.597116	FALSE	6.9	"excellent"	8.806258	1.098612	5	58.36003	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	8.337136	0.6931472	14	25.25667	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	8.337136	0.6931472	14	26.25667	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	8.337136	0.6931472	14	27.25667	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"good"	8.337136	0.6931472	14	7.86037	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"good"	8.337136	0.6931472	14	8.86037	"female"	TRUE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"good"	8.337136	0.6931472	14	9.86037	"female"	TRUE	FALSE
0	0	FALSE	4.510859	0	FALSE	3.4	"good"	8.806258	1.386294	12	26.84463	"male"	FALSE	FALSE
2	0	FALSE	4.510859	0	FALSE	3.4	"good"	8.806258	1.386294	12	27.84463	"male"	FALSE	FALSE
0	0	FALSE	4.510859	0	FALSE	3.4	"good"	8.806258	0	12	28.84463	"male"	FALSE	FALSE
0	0	FALSE	4.510859	0	FALSE	13.8	"good"	8.806258	1.386294	12	24.49829	"female"	FALSE	FALSE
0	0	FALSE	4.510859	0	FALSE	13.8	"good"	8.806258	1.386294	12	25.49829	"female"	FALSE	FALSE
0	0	FALSE	4.510859	0	FALSE	10.57626	"good"	8.806258	1.386294	12	5.71937	"female"	TRUE	FALSE
0	0	FALSE	4.510859	0	FALSE	10.57626	"good"	8.806258	1.386294	12	6.71937	"female"	TRUE	FALSE
4	0	FALSE	6.437399	0	FALSE	13.8	"excellent"	9.413729	0.6931472	12	23.39494	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	8.978451	0.6931472	12	57.2512	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	8.978451	0.6931472	12	58.2512	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	8.978451	0.6931472	12	59.2512	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.978451	0.6931472	10	59.70431	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.978451	0.6931472	10	60.70431	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.978451	0.6931472	10	61.70431	"female"	FALSE	FALSE
2	4.564348	TRUE	5.671328	5.061929	FALSE	6.9	"excellent"	5.12045	0	12	50.94045	"female"	FALSE	TRUE
1	4.564348	TRUE	5.671328	5.061929	FALSE	6.9	"excellent"	5.12045	0	12	51.94045	"female"	FALSE	TRUE
2	4.564348	TRUE	5.671328	5.061929	FALSE	6.9	"excellent"	5.12045	0	12	52.94045	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.756806	1.098612	12	35.62765	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.756806	1.098612	12	36.62765	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.756806	1.098612	12	37.62765	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.756806	1.098612	12	9.081451	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.756806	1.098612	12	10.08145	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.756806	1.098612	12	11.08145	"male"	TRUE	TRUE
7	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.756806	1.098612	12	31.10746	"female"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.756806	1.098612	12	32.10746	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.756806	1.098612	12	33.10746	"female"	FALSE	TRUE
0	4.564348	FALSE	5.753049	5.804342	TRUE	10.57626	"good"	8.548937	1.386294	10	12.86516	"female"	TRUE	TRUE
9	4.564348	FALSE	5.753049	5.804342	TRUE	10.57626	"good"	8.548937	1.386294	10	13.86516	"female"	TRUE	TRUE
0	4.564348	FALSE	5.753049	5.804342	TRUE	10.57626	"good"	8.548937	1.609438	10	14.86516	"female"	TRUE	TRUE
0	4.564348	FALSE	5.753049	5.804342	TRUE	10.57626	"good"	8.548937	1.386294	10	11.89596	"male"	TRUE	TRUE
1	4.564348	FALSE	5.753049	5.804342	TRUE	10.57626	"good"	8.548937	1.386294	10	12.89596	"male"	TRUE	TRUE
1	4.564348	FALSE	5.753049	5.804342	TRUE	10.57626	"good"	8.548937	1.609438	10	13.89596	"male"	TRUE	TRUE
0	4.564348	FALSE	5.753049	5.804342	FALSE	13.8	"excellent"	8.548937	1.386294	10	30.40109	"female"	FALSE	TRUE
0	4.564348	FALSE	5.753049	5.804342	FALSE	13.8	"excellent"	8.548937	1.386294	10	31.40109	"female"	FALSE	TRUE
6	4.564348	FALSE	5.753049	5.804342	FALSE	13.8	"excellent"	8.548937	1.609438	10	32.4011	"female"	FALSE	TRUE
15	0	FALSE	6.23973	0	TRUE	17.2	"poor"	8.698059	1.098612	12	53.71937	"male"	FALSE	FALSE
4	0	FALSE	6.23973	0	TRUE	17.2	"poor"	8.698059	1.098612	12	54.71937	"male"	FALSE	FALSE
12	0	FALSE	6.23973	0	TRUE	17.2	"poor"	8.698059	1.098612	12	55.71937	"male"	FALSE	FALSE
14	0	FALSE	6.23973	0	TRUE	24.1	"fair"	8.698059	1.098612	12	53.84531	"female"	FALSE	FALSE
16	0	FALSE	6.23973	0	TRUE	24.1	"fair"	8.698059	1.098612	12	54.84531	"female"	FALSE	FALSE
14	0	FALSE	6.23973	0	TRUE	24.1	"fair"	8.698059	1.098612	12	55.84531	"female"	FALSE	FALSE
8	0	FALSE	6.23973	0	FALSE	3.4	"excellent"	8.698059	1.098612	12	14.32991	"female"	TRUE	FALSE
4	0	FALSE	6.23973	0	FALSE	3.4	"excellent"	8.698059	1.098612	12	15.32991	"female"	TRUE	FALSE
10	0	FALSE	6.23973	0	FALSE	3.4	"excellent"	8.698059	1.098612	12	16.32991	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.110184	0.6931472	7	17.26215	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.110184	0.6931472	7	18.26215	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.110184	0.6931472	7	19.26215	"female"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"fair"	8.110184	0.6931472	7	49.9603	"female"	FALSE	TRUE
7	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"fair"	8.110184	0.6931472	7	50.9603	"female"	FALSE	TRUE
11	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"fair"	8.110184	0.6931472	7	51.9603	"female"	FALSE	TRUE
6	0	FALSE	6.815157	0	FALSE	17.2	"good"	9.066972	1.386294	14	26.45311	"female"	FALSE	FALSE
5	0	FALSE	6.815157	0	FALSE	17.2	"good"	9.066972	1.386294	14	27.45311	"female"	FALSE	FALSE
3	0	FALSE	6.815157	0	FALSE	17.2	"good"	9.066972	1.386294	14	28.45311	"female"	FALSE	FALSE
2	0	FALSE	6.815157	0	FALSE	17.2	"good"	9.066972	1.386294	14	29.45311	"female"	FALSE	FALSE
0	0	FALSE	6.815157	0	FALSE	17.2	"good"	9.066972	1.386294	14	30.45311	"female"	FALSE	FALSE
5	0	FALSE	6.815157	0	FALSE	0	"good"	9.066972	1.386294	16	26.81725	"male"	FALSE	FALSE
1	0	FALSE	6.815157	0	FALSE	0	"good"	9.066972	1.386294	16	27.81725	"male"	FALSE	FALSE
0	0	FALSE	6.815157	0	FALSE	0	"good"	9.066972	1.386294	16	28.81725	"male"	FALSE	FALSE
2	0	FALSE	6.815157	0	FALSE	0	"good"	9.066972	1.386294	16	29.81725	"male"	FALSE	FALSE
2	0	FALSE	6.815157	0	FALSE	0	"good"	9.066972	1.386294	16	30.81725	"male"	FALSE	FALSE
2	0	FALSE	6.815157	0	FALSE	10.57626	"good"	9.066972	1.386294	14	2.861054	"female"	TRUE	FALSE
0	0	FALSE	6.815157	0	FALSE	10.57626	"good"	9.066972	1.386294	14	3.861054	"female"	TRUE	FALSE
5	0	FALSE	6.815157	0	FALSE	10.57626	"good"	9.066972	1.386294	14	4.861054	"female"	TRUE	FALSE
1	0	FALSE	6.815157	0	FALSE	10.57626	"good"	9.066972	1.386294	14	5.861054	"female"	TRUE	FALSE
2	0	FALSE	6.815157	0	FALSE	10.57626	"good"	9.066972	1.386294	14	6.861054	"female"	TRUE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	5.300383	0	12	19.53456	"female"	FALSE	FALSE
2	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	5.300383	0.6931472	12	20.53456	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	5.300383	0.6931472	12	21.53456	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	5.300383	0.6931472	12	22.53456	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	0	"excellent"	5.300383	0.6931472	12	23.53456	"female"	FALSE	FALSE
0	3.258096	FALSE	6.129377	7.515671	FALSE	10.3	"excellent"	8.609842	0.6931472	12	15.68515	"male"	TRUE	FALSE
9	3.258096	FALSE	6.129377	7.515671	FALSE	6.9	"good"	8.609842	0.6931472	12	38.89664	"female"	FALSE	FALSE
1	4.564348	TRUE	5.735281	5.755076	FALSE	27.6	"good"	8.933958	0.6931472	16	57.83984	"male"	FALSE	TRUE
3	4.564348	TRUE	5.735281	5.755076	FALSE	27.6	"good"	8.933958	0.6931472	16	58.83984	"male"	FALSE	TRUE
3	4.564348	TRUE	5.735281	5.755076	TRUE	34.5	"fair"	8.933958	0.6931472	15	53.19096	"female"	FALSE	TRUE
1	4.564348	TRUE	5.735281	5.755076	TRUE	34.5	"fair"	8.933958	0.6931472	15	54.19096	"female"	FALSE	TRUE
2	4.564348	TRUE	5.735281	5.755076	TRUE	34.5	"fair"	8.933958	0	15	55.19096	"female"	FALSE	TRUE
0	3.258096	FALSE	5.773309	7.034916	FALSE	3.4	"excellent"	8.13372	0.6931472	9	24.65708	"male"	FALSE	FALSE
0	3.258096	FALSE	5.773309	7.034916	FALSE	3.4	"excellent"	8.13372	0.6931472	9	25.65708	"male"	FALSE	FALSE
1	3.258096	FALSE	5.773309	7.034916	FALSE	3.4	"excellent"	8.13372	0.6931472	9	26.65708	"male"	FALSE	FALSE
0	3.258096	FALSE	5.773309	7.034916	FALSE	3.4	"excellent"	8.13372	0.6931472	9	27.65708	"male"	FALSE	FALSE
0	3.258096	FALSE	5.773309	7.034916	FALSE	3.4	"excellent"	8.13372	0.6931472	9	28.65708	"male"	FALSE	FALSE
1	3.258096	FALSE	5.773309	7.034916	FALSE	17.2	"excellent"	8.13372	0.6931472	12	19.98083	"female"	FALSE	FALSE
1	3.258096	FALSE	5.773309	7.034916	FALSE	17.2	"excellent"	8.13372	0.6931472	12	20.98083	"female"	FALSE	FALSE
1	3.258096	FALSE	5.773309	7.034916	FALSE	17.2	"excellent"	8.13372	0.6931472	12	21.98083	"female"	FALSE	FALSE
1	3.258096	FALSE	5.773309	7.034916	FALSE	17.2	"excellent"	8.13372	0.6931472	12	22.98083	"female"	FALSE	FALSE
2	3.258096	FALSE	5.773309	7.034916	FALSE	17.2	"excellent"	8.13372	0.6931472	12	23.98083	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.721172	TRUE	10.57626	"good"	8.806258	0	16	28.53936	"male"	FALSE	FALSE
2	4.564348	FALSE	0	6.721172	TRUE	10.57626	"good"	8.806258	0	16	29.53936	"male"	FALSE	FALSE
2	4.564348	FALSE	0	6.721172	TRUE	10.57626	"good"	8.806258	0	16	30.53936	"male"	FALSE	FALSE
0	0	FALSE	2.890372	0	FALSE	0	"excellent"	8.900392	0	18	31.05544	"female"	FALSE	FALSE
3	0	FALSE	2.890372	0	FALSE	0	"excellent"	8.900392	0	18	32.05544	"female"	FALSE	FALSE
3	0	FALSE	2.890372	0	FALSE	0	"excellent"	8.900392	0	18	33.05544	"female"	FALSE	FALSE
0	4.564348	TRUE	5.089077	5.061929	FALSE	6.9	"excellent"	8.806258	0	14	29.34428	"male"	FALSE	FALSE
0	4.564348	TRUE	5.089077	5.061929	FALSE	6.9	"excellent"	8.806258	0	14	30.34428	"male"	FALSE	FALSE
4	4.564348	TRUE	5.089077	5.061929	FALSE	6.9	"excellent"	8.806258	0	14	31.34428	"male"	FALSE	FALSE
0	4.564348	FALSE	6.160574	6.211867	FALSE	10.57626	"good"	8.853882	1.098612	14	8.396988	"male"	TRUE	TRUE
1	4.564348	FALSE	6.160574	6.211867	FALSE	10.57626	"good"	8.853882	1.386294	14	9.396988	"male"	TRUE	TRUE
1	4.564348	FALSE	6.160574	6.211867	FALSE	10.57626	"good"	8.853882	1.386294	14	10.39699	"male"	TRUE	TRUE
0	4.564348	FALSE	6.160574	6.211867	FALSE	20.7	"fair"	8.853882	1.098612	14	33.16906	"female"	FALSE	TRUE
1	4.564348	FALSE	6.160574	6.211867	FALSE	20.7	"fair"	8.853882	1.386294	14	34.16906	"female"	FALSE	TRUE
5	4.564348	FALSE	6.160574	6.211867	FALSE	20.7	"fair"	8.853882	1.386294	14	35.16906	"female"	FALSE	TRUE
0	4.564348	FALSE	6.160574	6.211867	FALSE	10.57626	"excellent"	8.853882	1.098612	14	3.485284	"female"	TRUE	TRUE
2	4.564348	FALSE	6.160574	6.211867	FALSE	10.57626	"excellent"	8.853882	1.386294	14	4.485284	"female"	TRUE	TRUE
0	4.564348	FALSE	6.160574	6.211867	FALSE	10.57626	"excellent"	8.853882	1.386294	14	5.485284	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"good"	6.402491	1.609438	12	26.21218	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.402491	1.609438	12	27.21218	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.402491	1.791759	12	28.21218	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.402491	1.791759	12	29.21218	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	6.402491	1.791759	12	30.21218	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	6.402491	1.609438	12	30.10267	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	6.402491	1.609438	12	31.10267	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	6.402491	1.791759	12	32.10267	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	6.402491	1.791759	12	33.10267	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	6.402491	1.791759	12	34.10267	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.609438	12	3.838467	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.609438	12	4.838467	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.791759	12	5.838467	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.791759	12	6.838467	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.791759	12	7.838467	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.609438	12	5.927447	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.609438	12	6.927447	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.791759	12	7.927447	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.791759	12	8.927447	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	6.402491	1.791759	12	9.927447	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.3	"fair"	6.937495	0.6931472	11	55.12115	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.3	"fair"	6.937495	0.6931472	11	56.12115	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	10.3	"fair"	6.937495	0.6931472	11	57.12115	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	6.937495	0.6931472	11	17.67556	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	0	"excellent"	6.937495	0.6931472	11	18.67556	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	0	"excellent"	6.937495	0.6931472	11	19.67556	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.909702	1.609438	10	13.61259	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.909702	1.609438	10	14.61259	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.909702	1.609438	10	16.79398	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.909702	1.609438	10	17.79398	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	8.909702	1.609438	7	18.91034	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.3	"excellent"	8.909702	1.609438	7	19.91034	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"excellent"	8.909702	1.609438	11	40.3833	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"excellent"	8.909702	1.609438	11	41.3833	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	8.909702	1.609438	10	38.7488	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	27.6	"excellent"	8.909702	1.609438	10	39.7488	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"good"	4.92517	0	11	38.41478	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"good"	4.92517	0	11	39.41478	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	17.2	"good"	4.92517	0	11	40.41478	"female"	FALSE	FALSE
0	3.931826	FALSE	6.39693	7.090077	FALSE	3.4	"good"	8.147035	0.6931472	12	24.15879	"female"	FALSE	FALSE
0	3.931826	FALSE	6.39693	7.090077	FALSE	3.4	"good"	8.147035	0.6931472	12	25.15879	"female"	FALSE	FALSE
0	3.931826	FALSE	6.39693	7.090077	FALSE	3.4	"good"	8.147035	0.6931472	12	26.15879	"female"	FALSE	FALSE
0	3.931826	FALSE	6.39693	7.090077	TRUE	10.57626	"fair"	8.147035	0.6931472	12	5.620808	"male"	TRUE	FALSE
0	3.931826	FALSE	6.39693	7.090077	TRUE	10.57626	"fair"	8.147035	0.6931472	12	6.620808	"male"	TRUE	FALSE
0	3.931826	FALSE	6.39693	7.090077	TRUE	10.57626	"fair"	8.147035	0.6931472	12	7.620808	"male"	TRUE	FALSE
4	0	FALSE	4.822859	0	TRUE	37.9	"good"	8.422217	1.098612	17	49.71937	"female"	FALSE	TRUE
7	0	FALSE	4.822859	0	TRUE	37.9	"good"	8.422217	1.098612	17	50.71937	"female"	FALSE	TRUE
7	0	FALSE	4.822859	0	TRUE	37.9	"good"	8.422217	1.098612	17	51.71937	"female"	FALSE	TRUE
2	0	FALSE	4.822859	0	TRUE	37.9	"good"	8.422217	1.098612	17	52.71937	"female"	FALSE	TRUE
2	0	FALSE	4.822859	0	TRUE	37.9	"good"	8.422217	1.098612	17	53.71937	"female"	FALSE	TRUE
1	0	FALSE	4.822859	0	FALSE	10.57626	"excellent"	8.422217	1.098612	17	6.579055	"male"	TRUE	TRUE
2	0	FALSE	4.822859	0	FALSE	10.57626	"excellent"	8.422217	1.098612	17	7.579055	"male"	TRUE	TRUE
0	0	FALSE	4.822859	0	FALSE	10.57626	"excellent"	8.422217	1.098612	17	8.579056	"male"	TRUE	TRUE
1	0	FALSE	4.822859	0	FALSE	10.57626	"excellent"	8.422217	1.098612	17	9.579056	"male"	TRUE	TRUE
0	0	FALSE	4.822859	0	FALSE	10.57626	"excellent"	8.422217	1.098612	17	10.57906	"male"	TRUE	TRUE
1	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.422217	1.098612	17	14.68857	"female"	TRUE	TRUE
1	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.422217	1.098612	17	15.68857	"female"	TRUE	TRUE
1	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.422217	1.098612	17	16.68857	"female"	TRUE	TRUE
1	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.422217	1.098612	17	17.68857	"female"	TRUE	TRUE
0	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.422217	1.098612	17	18.68857	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.274829	0.6931472	16	28.55031	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.274829	0.6931472	16	29.55031	"female"	FALSE	FALSE
26	4.564348	FALSE	6.907755	6.959049	TRUE	20.7	"good"	9.274829	0.6931472	16	30.55031	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.274829	0.6931472	16	31.21697	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.274829	0.6931472	16	32.21698	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.274829	0.6931472	16	33.21698	"male"	FALSE	FALSE
0	3.258096	FALSE	6.347144	7.733438	FALSE	10.3	"good"	7.624421	0	12	49.54141	"female"	FALSE	FALSE
1	3.258096	FALSE	6.347144	7.733438	FALSE	10.3	"good"	7.624421	0	12	50.54141	"female"	FALSE	FALSE
3	3.258096	FALSE	6.347144	7.733438	FALSE	10.3	"good"	7.624421	0	12	51.54141	"female"	FALSE	FALSE
0	3.258096	FALSE	5.420535	6.536633	FALSE	6.9	"excellent"	8.637915	1.386294	13	32.60506	"male"	FALSE	FALSE
1	3.258096	FALSE	5.420535	6.536633	FALSE	6.9	"excellent"	8.637915	1.386294	13	33.60506	"male"	FALSE	FALSE
0	3.258096	FALSE	5.420535	6.536633	FALSE	6.9	"excellent"	8.637915	1.386294	13	34.60506	"male"	FALSE	FALSE
0	3.258096	FALSE	5.420535	6.536633	FALSE	3.4	"excellent"	8.637915	1.386294	9	28.1232	"female"	FALSE	FALSE
1	3.258096	FALSE	5.420535	6.536633	FALSE	3.4	"excellent"	8.637915	1.386294	9	29.1232	"female"	FALSE	FALSE
0	3.258096	FALSE	5.420535	6.536633	FALSE	3.4	"excellent"	8.637915	1.386294	9	30.1232	"female"	FALSE	FALSE
0	3.258096	FALSE	5.420535	6.536633	TRUE	10.57626	"excellent"	8.637915	1.386294	9	10.09172	"male"	TRUE	FALSE
0	3.258096	FALSE	5.420535	6.536633	TRUE	10.57626	"excellent"	8.637915	1.386294	9	11.09172	"male"	TRUE	FALSE
0	3.258096	FALSE	5.420535	6.536633	TRUE	10.57626	"excellent"	8.637915	1.386294	9	12.09172	"male"	TRUE	FALSE
0	3.258096	FALSE	5.420535	6.536633	TRUE	10.57626	"excellent"	8.637915	1.386294	9	7.359343	"female"	TRUE	FALSE
0	3.258096	FALSE	5.420535	6.536633	TRUE	10.57626	"excellent"	8.637915	1.386294	9	8.359343	"female"	TRUE	FALSE
0	3.258096	FALSE	5.420535	6.536633	TRUE	10.57626	"excellent"	8.637915	1.386294	9	9.359343	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.681236	1.386294	12	30.16838	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.681236	1.386294	12	31.16838	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.681236	1.386294	12	32.16838	"male"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.681236	1.386294	12	33.16838	"male"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.681236	1.386294	12	34.16838	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	6.444901	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	7.444901	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	8.444901	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	9.444901	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	10.4449	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.681236	1.386294	12	31.92334	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.681236	1.386294	12	32.92334	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.681236	1.386294	12	33.92334	"female"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.681236	1.386294	12	34.92334	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.681236	1.386294	12	35.92334	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	10.12183	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	11.12183	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	12.12183	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	13.12183	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.681236	1.386294	12	14.12183	"male"	TRUE	TRUE
0	4.564348	FALSE	5.783825	5.835118	TRUE	3.4	"good"	8.148072	1.386294	12	26.55168	"male"	FALSE	TRUE
0	4.564348	FALSE	5.783825	5.835118	TRUE	3.4	"good"	8.148072	1.386294	12	27.55168	"male"	FALSE	TRUE
0	4.564348	FALSE	5.783825	5.835118	TRUE	3.4	"good"	8.148072	1.609438	12	28.55168	"male"	FALSE	TRUE
0	4.564348	FALSE	5.783825	5.835118	FALSE	6.9	"good"	8.148072	1.386294	14	26.16564	"female"	FALSE	TRUE
0	4.564348	FALSE	5.783825	5.835118	FALSE	6.9	"good"	8.148072	1.386294	14	27.16564	"female"	FALSE	TRUE
0	4.564348	FALSE	5.783825	5.835118	FALSE	6.9	"good"	8.148072	1.609438	14	28.16564	"female"	FALSE	TRUE
0	4.564348	FALSE	5.783825	5.835118	TRUE	10.57626	"excellent"	8.148072	1.386294	14	6.603696	"female"	TRUE	TRUE
4	4.564348	FALSE	5.783825	5.835118	TRUE	10.57626	"excellent"	8.148072	1.386294	14	7.603696	"female"	TRUE	TRUE
0	4.564348	FALSE	5.783825	5.835118	TRUE	10.57626	"excellent"	8.148072	1.609438	14	8.603696	"female"	TRUE	TRUE
6	0	FALSE	6.206979	0	FALSE	10.57626	"excellent"	8.806258	1.098612	12	3.928816	"male"	TRUE	FALSE
4	0	FALSE	6.206979	0	FALSE	10.57626	"excellent"	8.806258	1.098612	12	4.928816	"male"	TRUE	FALSE
4	0	FALSE	6.206979	0	FALSE	10.57626	"excellent"	8.806258	1.386294	12	5.928816	"male"	TRUE	FALSE
2	0	FALSE	6.206979	0	FALSE	6.9	"good"	8.806258	1.098612	11	24.30116	"male"	FALSE	FALSE
0	0	FALSE	6.206979	0	FALSE	6.9	"good"	8.806258	1.098612	11	25.30116	"male"	FALSE	FALSE
2	0	FALSE	6.206979	0	FALSE	6.9	"good"	8.806258	1.386294	11	26.30116	"male"	FALSE	FALSE
1	0	FALSE	6.206979	0	FALSE	3.4	"good"	8.806258	1.098612	12	23.75086	"female"	FALSE	FALSE
1	0	FALSE	6.206979	0	FALSE	3.4	"good"	8.806258	1.098612	12	24.75086	"female"	FALSE	FALSE
2	0	FALSE	6.206979	0	FALSE	3.4	"good"	8.806258	1.386294	12	25.75086	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	8.728445	0	12	34.22313	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	8.728445	0	12	35.22313	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.061929	FALSE	13.8	"excellent"	8.728445	0	12	36.22313	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"fair"	0	0.6931472	8	4.4846	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"fair"	0	0.6931472	8	5.4846	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"fair"	0	0.6931472	8	6.4846	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	6.9	"good"	0	0.6931472	8	24.98289	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	6.9	"good"	0	0.6931472	8	25.98289	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	6.9	"good"	0	0.6931472	8	26.98289	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	TRUE	6.9	"fair"	9.267747	1.386294	8	17.37988	"female"	TRUE	TRUE
0	0	FALSE	6.66899	0	TRUE	6.9	"fair"	9.267747	1.386294	8	18.37988	"female"	FALSE	TRUE
2	0	FALSE	6.66899	0	TRUE	6.9	"fair"	9.267747	1.386294	8	19.37988	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	10.3	"fair"	9.267747	1.386294	8	41.34155	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	10.3	"fair"	9.267747	1.386294	8	42.34155	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	10.3	"fair"	9.267747	1.386294	8	43.34155	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	13.8	"fair"	9.267747	1.386294	10	20.09583	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	13.8	"fair"	9.267747	1.386294	10	21.09583	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	13.8	"fair"	9.267747	1.386294	10	22.09583	"female"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	0	"fair"	9.267747	1.386294	9	43.64682	"male"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	0	"fair"	9.267747	1.386294	9	44.64682	"male"	FALSE	TRUE
0	0	FALSE	6.66899	0	FALSE	0	"fair"	9.267747	1.386294	9	45.64682	"male"	FALSE	TRUE
0	3.258096	FALSE	0	7.532195	FALSE	3.4	"poor"	0	0	10	41.81519	"female"	FALSE	TRUE
1	3.258096	FALSE	0	7.532195	FALSE	3.4	"poor"	0	0	10	42.81519	"female"	FALSE	TRUE
0	3.258096	FALSE	0	7.532195	FALSE	3.4	"poor"	0	0	10	43.81519	"female"	FALSE	TRUE
2	4.564348	TRUE	0	5.061929	FALSE	13.8	"good"	0	0	11	22.80903	"female"	FALSE	TRUE
0	4.564348	TRUE	0	5.061929	FALSE	13.8	"good"	0	0	11	23.80903	"female"	FALSE	TRUE
1	4.564348	TRUE	0	5.061929	FALSE	13.8	"good"	0	0	11	24.80903	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.196468	1.386294	16	29.69473	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.196468	1.609438	16	30.69473	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.196468	1.609438	16	31.69473	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.196468	1.386294	16	30.07803	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.196468	1.609438	16	31.07803	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.196468	1.609438	16	32.07803	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	9.196468	1.386294	16	8.569473	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	9.196468	1.609438	16	9.569473	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	9.196468	1.609438	16	10.56947	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.196468	1.386294	16	4.722793	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.196468	1.609438	16	5.722793	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.196468	1.609438	16	6.722793	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	0.6931472	12	8.481862	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	3.4	"fair"	0	0.6931472	12	41.88091	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	3.4	"fair"	0	0	12	42.88091	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	3.4	"fair"	0	0	12	43.88091	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	3.4	"fair"	0	0	12	44.88091	"female"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	3.4	"fair"	0	0	12	45.88091	"female"	FALSE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	4.15332	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	5.15332	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	6.15332	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	7.15332	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	8.153319	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	FALSE	13.8	"good"	8.027205	0	12	37.47844	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	FALSE	13.8	"good"	8.027205	0	12	38.47844	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	FALSE	13.8	"good"	8.027205	0	12	39.47844	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	FALSE	13.8	"good"	8.027205	0	12	40.47844	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	FALSE	13.8	"good"	8.027205	0	12	41.47844	"male"	FALSE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	7.263518	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	8.263518	"female"	TRUE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	9.263518	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	10.26352	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	11.26352	"female"	TRUE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	6.193018	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	7.193018	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	8.193019	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	9.193019	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	10.19302	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	35.35934	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	36.35934	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	37.35934	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	38.35934	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	39.35934	"female"	FALSE	TRUE
2	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	14.63929	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	15.63929	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	16.63929	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	17.63929	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	18.63929	"male"	FALSE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	8.695415	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	9.695415	"male"	TRUE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	10.69541	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	11.69541	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	12.69541	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	10.95414	"male"	TRUE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	11.95414	"male"	TRUE	TRUE
1	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	12.95414	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	13.95414	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.818751	TRUE	10.57626	"good"	8.806258	1.94591	10	14.95414	"male"	TRUE	TRUE
7	3.258096	FALSE	0	4.884316	FALSE	6.9	"good"	7.35056	0	12	48.24367	"male"	FALSE	TRUE
4	3.258096	FALSE	0	4.884316	FALSE	6.9	"good"	7.35056	0	12	49.24367	"male"	FALSE	TRUE
2	3.258096	FALSE	0	4.884316	FALSE	6.9	"good"	7.35056	0	12	50.24367	"male"	FALSE	TRUE
2	4.564348	TRUE	0	5.061929	FALSE	13.8	"excellent"	7.32996	0	17	35.24983	"male"	FALSE	FALSE
5	4.564348	TRUE	0	5.061929	FALSE	13.8	"excellent"	7.32996	0	17	36.24983	"male"	FALSE	FALSE
6	4.564348	TRUE	0	5.061929	FALSE	13.8	"excellent"	7.32996	0	17	37.24983	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	37.9	"good"	8.806258	1.098612	11	37.7577	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	37.9	"good"	8.806258	1.098612	11	38.7577	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	37.9	"good"	8.806258	0.6931472	11	39.7577	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.806258	1.098612	11	5.051335	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.806258	1.098612	11	6.051335	"female"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	10.57626	"good"	8.806258	1.098612	11	9.826146	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	10.57626	"good"	8.806258	1.098612	11	10.82615	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	10.57626	"good"	8.806258	0.6931472	11	11.82615	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.935105	1.609438	7	54.61465	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.935105	1.609438	7	55.61465	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.935105	1.609438	7	56.61465	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	20.7	"poor"	8.935105	1.609438	5	51.75907	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	20.7	"poor"	8.935105	1.609438	5	52.75907	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	20.7	"poor"	8.935105	1.609438	5	53.75907	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.935105	1.609438	5	8.895277	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.935105	1.609438	5	9.895277	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.935105	1.609438	5	10.89528	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.935105	1.609438	5	14.68309	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.935105	1.609438	5	15.68309	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.935105	1.609438	5	16.68309	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	0	12	5.226557	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	0	12	6.226557	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	0	12	7.226557	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"poor"	8.935105	1.609438	10	27.74264	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"poor"	8.935105	1.609438	10	28.74264	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"poor"	8.935105	1.609438	10	29.74264	"female"	FALSE	TRUE
2	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	13.72211	"female"	TRUE	TRUE
3	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	14.72211	"female"	TRUE	TRUE
5	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	15.72211	"female"	TRUE	TRUE
0	0	FALSE	6.030685	0	TRUE	10.3	"fair"	8.836323	1.609438	8	50.10267	"male"	FALSE	TRUE
1	0	FALSE	6.030685	0	TRUE	10.3	"fair"	8.836323	1.609438	8	51.10267	"male"	FALSE	TRUE
1	0	FALSE	6.030685	0	TRUE	10.3	"fair"	8.836323	1.609438	8	52.10267	"male"	FALSE	TRUE
1	0	FALSE	6.030685	0	FALSE	6.9	"excellent"	8.836323	1.609438	8	40.71458	"female"	FALSE	TRUE
1	0	FALSE	6.030685	0	FALSE	6.9	"excellent"	8.836323	1.609438	8	41.71458	"female"	FALSE	TRUE
2	0	FALSE	6.030685	0	FALSE	6.9	"excellent"	8.836323	1.609438	8	42.71458	"female"	FALSE	TRUE
1	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	11.55647	"male"	TRUE	TRUE
0	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	12.55647	"male"	TRUE	TRUE
0	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	13.55647	"male"	TRUE	TRUE
2	0	FALSE	2.890372	0	FALSE	0	"good"	6.221195	0	10	19.5154	"female"	FALSE	TRUE
3	0	FALSE	2.890372	0	FALSE	0	"good"	6.221195	0	10	20.5154	"female"	FALSE	TRUE
7	0	FALSE	2.890372	0	FALSE	0	"good"	6.221195	0	10	21.5154	"female"	FALSE	TRUE
0	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	9.010267	"female"	TRUE	TRUE
0	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	10.01027	"female"	TRUE	TRUE
0	0	FALSE	6.030685	0	FALSE	10.57626	"good"	8.836323	1.609438	8	11.01027	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.806258	1.386294	12	12.34771	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.806258	1.386294	12	13.34771	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.806258	1.386294	12	14.34771	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.806258	1.386294	12	32.46817	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.806258	1.386294	12	33.46817	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.806258	1.386294	12	34.46817	"female"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.806258	1.386294	7	34.73785	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.806258	1.386294	7	35.73785	"male"	FALSE	TRUE
10	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.806258	1.386294	7	36.73785	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.806258	1.386294	12	11.00342	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.806258	1.386294	12	12.00342	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.806258	1.386294	12	13.00342	"female"	TRUE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	6.9	"good"	8.891134	1.386294	10	17.69747	"female"	TRUE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	6.9	"good"	8.891134	1.386294	10	18.69747	"female"	FALSE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	6.9	"good"	8.891134	1.386294	10	19.69747	"female"	FALSE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	3.4	"good"	8.891134	1.386294	10	16.3258	"male"	TRUE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	3.4	"good"	8.891134	1.386294	10	17.3258	"male"	TRUE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	3.4	"good"	8.891134	1.386294	10	18.3258	"male"	FALSE	TRUE
0	3.258096	FALSE	5.8925	7.278795	TRUE	10.3	"fair"	8.891134	1.386294	10	41.12526	"female"	FALSE	TRUE
0	3.258096	FALSE	5.8925	7.278795	TRUE	10.3	"fair"	8.891134	1.386294	10	42.12526	"female"	FALSE	TRUE
0	3.258096	FALSE	5.8925	7.278795	TRUE	10.3	"fair"	8.891134	1.386294	10	43.12526	"female"	FALSE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	10.57626	"good"	8.891134	1.386294	10	10.8282	"female"	TRUE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	10.57626	"good"	8.891134	1.386294	10	11.8282	"female"	TRUE	TRUE
0	3.258096	FALSE	5.8925	7.278795	FALSE	10.57626	"good"	8.891134	1.386294	10	12.8282	"female"	TRUE	TRUE
3	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.386067	0	16	31.98083	"female"	FALSE	TRUE
4	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.386067	0	16	32.98083	"female"	FALSE	TRUE
2	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.386067	0	16	33.98083	"female"	FALSE	TRUE
0	4.564348	FALSE	6.620007	6.6713	FALSE	6.9	"good"	8.999028	0.6931472	10	48.80219	"female"	FALSE	FALSE
0	4.564348	FALSE	6.620007	6.6713	FALSE	6.9	"good"	8.999028	0.6931472	10	49.80219	"female"	FALSE	FALSE
0	4.564348	FALSE	6.620007	6.6713	FALSE	6.9	"good"	8.999028	0.6931472	10	50.80219	"female"	FALSE	FALSE
5	4.564348	FALSE	6.620007	6.6713	FALSE	20.7	"good"	8.999028	0.6931472	6	57.21834	"male"	FALSE	FALSE
2	4.564348	FALSE	6.620007	6.6713	FALSE	20.7	"good"	8.999028	0.6931472	6	58.21834	"male"	FALSE	FALSE
1	4.564348	FALSE	6.620007	6.6713	FALSE	20.7	"good"	8.999028	0.6931472	6	59.21834	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.327032	1.098612	9	26.92402	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.327032	1.386294	9	27.92402	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.327032	1.386294	9	28.92402	"male"	FALSE	TRUE
12	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.327032	1.098612	11	24.65982	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.327032	1.386294	11	25.65982	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.327032	1.386294	11	26.65982	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.327032	1.098612	11	6.872005	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.327032	1.386294	11	7.872005	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.327032	1.386294	11	8.872005	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.393395	1.386294	11	22.37098	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.393395	1.386294	11	23.37098	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.393395	1.386294	11	24.37098	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"fair"	8.393395	1.386294	7	23.39494	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"fair"	8.393395	1.386294	7	24.39494	"male"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	FALSE	10.3	"fair"	8.393395	1.386294	7	25.39494	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"fair"	8.393395	1.386294	11	3.129364	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"fair"	8.393395	1.386294	11	4.129364	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"fair"	8.393395	1.386294	11	5.129364	"female"	TRUE	FALSE
1	0	FALSE	4.268298	0	TRUE	20.7	"good"	6.9365	0	4	52.23819	"female"	FALSE	TRUE
1	0	FALSE	4.268298	0	TRUE	20.7	"good"	6.9365	0	4	53.23819	"female"	FALSE	TRUE
0	0	FALSE	4.268298	0	TRUE	20.7	"good"	6.9365	0	4	54.23819	"female"	FALSE	TRUE
0	0	FALSE	4.564348	0	FALSE	6.9	"good"	8.806258	0	10	39.41136	"male"	FALSE	TRUE
0	0	FALSE	4.564348	0	FALSE	6.9	"good"	8.806258	0	10	40.41136	"male"	FALSE	TRUE
0	0	FALSE	4.564348	0	FALSE	6.9	"good"	8.806258	0	10	41.41136	"male"	FALSE	TRUE
5	4.564348	TRUE	5.594116	5.061929	FALSE	10.3	"good"	8.123327	0	11	53.2731	"female"	FALSE	TRUE
0	4.564348	TRUE	5.594116	5.061929	FALSE	10.3	"good"	8.123327	0	11	54.2731	"female"	FALSE	TRUE
4	4.564348	TRUE	5.594116	5.061929	FALSE	10.3	"good"	8.123327	0	11	55.2731	"female"	FALSE	TRUE
11	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	49.20739	"female"	FALSE	FALSE
9	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	50.20739	"female"	FALSE	FALSE
19	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	51.20739	"female"	FALSE	FALSE
30	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	52.20739	"female"	FALSE	FALSE
27	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	53.20739	"female"	FALSE	FALSE
8	0	FALSE	5.869636	0	FALSE	3.4	"excellent"	9.237516	1.386294	16	17.11431	"male"	TRUE	FALSE
9	0	FALSE	5.869636	0	FALSE	3.4	"excellent"	9.237516	1.386294	16	18.11431	"male"	FALSE	FALSE
6	0	FALSE	5.869636	0	FALSE	3.4	"excellent"	9.237516	1.386294	16	19.11431	"male"	FALSE	FALSE
2	0	FALSE	5.869636	0	FALSE	3.4	"excellent"	9.237516	1.386294	16	20.11431	"male"	FALSE	FALSE
0	0	FALSE	5.869636	0	FALSE	3.4	"excellent"	9.237516	1.386294	16	21.11431	"male"	FALSE	FALSE
1	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	46.98152	"male"	FALSE	FALSE
1	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	47.98152	"male"	FALSE	FALSE
2	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	48.98152	"male"	FALSE	FALSE
1	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	49.98152	"male"	FALSE	FALSE
8	0	FALSE	5.869636	0	FALSE	6.9	"excellent"	9.237516	1.386294	16	50.98152	"male"	FALSE	FALSE
6	0	FALSE	5.869636	0	FALSE	10.57626	"excellent"	9.237516	1.386294	16	13.67556	"male"	TRUE	FALSE
1	0	FALSE	5.869636	0	FALSE	10.57626	"excellent"	9.237516	1.386294	16	14.67556	"male"	TRUE	FALSE
8	0	FALSE	5.869636	0	FALSE	10.57626	"excellent"	9.237516	1.386294	16	15.67556	"male"	TRUE	FALSE
9	0	FALSE	5.869636	0	FALSE	10.57626	"excellent"	9.237516	1.386294	16	16.67556	"male"	TRUE	FALSE
7	0	FALSE	5.869636	0	FALSE	10.57626	"excellent"	9.237516	1.386294	16	17.67556	"male"	TRUE	FALSE
2	4.564348	FALSE	6.745236	6.79653	FALSE	27.6	"good"	9.308191	0.6931472	16	24.29295	"female"	FALSE	FALSE
1	4.564348	FALSE	6.745236	6.79653	FALSE	27.6	"good"	9.308191	0.6931472	16	25.29295	"female"	FALSE	FALSE
2	0	FALSE	6.152051	0	FALSE	10.57626	"good"	9.612268	1.098612	16	6.099932	"male"	TRUE	FALSE
4	0	FALSE	6.152051	0	FALSE	10.57626	"good"	9.612268	1.386294	16	7.099932	"male"	TRUE	FALSE
2	0	FALSE	6.152051	0	FALSE	10.57626	"good"	9.612268	1.386294	16	8.099932	"male"	TRUE	FALSE
7	0	FALSE	6.152051	0	FALSE	10.57626	"good"	9.612268	1.386294	16	9.099932	"male"	TRUE	FALSE
2	0	FALSE	6.152051	0	FALSE	10.57626	"good"	9.612268	1.386294	16	10.09993	"male"	TRUE	FALSE
1	0	FALSE	6.152051	0	FALSE	6.9	"good"	9.612268	1.098612	18	35.95072	"male"	FALSE	FALSE
1	0	FALSE	6.152051	0	FALSE	6.9	"good"	9.612268	1.386294	18	36.95072	"male"	FALSE	FALSE
0	0	FALSE	6.152051	0	FALSE	6.9	"good"	9.612268	1.386294	18	37.95072	"male"	FALSE	FALSE
3	0	FALSE	6.152051	0	FALSE	6.9	"good"	9.612268	1.386294	18	38.95072	"male"	FALSE	FALSE
1	0	FALSE	6.152051	0	FALSE	6.9	"good"	9.612268	1.386294	18	39.95072	"male"	FALSE	FALSE
2	0	FALSE	6.152051	0	FALSE	24.1	"good"	9.612268	1.098612	16	36.3614	"female"	FALSE	FALSE
8	0	FALSE	6.152051	0	FALSE	24.1	"good"	9.612268	1.386294	16	37.3614	"female"	FALSE	FALSE
2	0	FALSE	6.152051	0	FALSE	24.1	"good"	9.612268	1.386294	16	38.3614	"female"	FALSE	FALSE
2	0	FALSE	6.152051	0	FALSE	24.1	"good"	9.612268	1.386294	16	39.3614	"female"	FALSE	FALSE
5	0	FALSE	6.152051	0	FALSE	24.1	"good"	9.612268	1.386294	16	40.3614	"female"	FALSE	FALSE
0	4.564348	FALSE	0	0	FALSE	3.4	"good"	6.684326	0	9	19.01711	"female"	FALSE	TRUE
0	4.564348	FALSE	0	0	FALSE	3.4	"good"	6.684326	0	9	20.01711	"female"	FALSE	TRUE
0	4.564348	FALSE	0	0	FALSE	3.4	"good"	6.684326	0	9	21.01711	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.386294	10	35.70979	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.386294	10	36.70979	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.386294	10	37.70979	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.386294	12	46.38193	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.386294	12	47.38193	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.806258	1.386294	12	48.38193	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	1.386294	12	8.060233	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	1.386294	12	9.060233	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	1.386294	12	10.06023	"male"	TRUE	TRUE
0	0	FALSE	5.713733	0	FALSE	6.9	"excellent"	9.489304	0.6931472	12	59.91513	"male"	FALSE	FALSE
4	0	FALSE	5.713733	0	FALSE	6.9	"excellent"	9.489304	0.6931472	12	60.91513	"male"	FALSE	FALSE
2	0	FALSE	5.713733	0	FALSE	6.9	"excellent"	9.489304	0.6931472	12	61.91513	"male"	FALSE	FALSE
4	0	FALSE	5.713733	0	FALSE	17.2	"fair"	9.489304	0.6931472	10	60.69542	"female"	FALSE	FALSE
3	0	FALSE	5.713733	0	FALSE	17.2	"fair"	9.489304	0.6931472	10	61.69542	"female"	FALSE	FALSE
1	0	FALSE	5.713733	0	FALSE	17.2	"fair"	9.489304	0.6931472	10	62.69542	"female"	FALSE	FALSE
1	3.258096	FALSE	6.617403	8.003697	FALSE	13.8	"good"	8.447828	0	12	25.97947	"male"	FALSE	TRUE
2	3.258096	FALSE	0	5.768321	FALSE	20.7	"good"	8.806258	0	13	27.25804	"male"	FALSE	TRUE
1	3.258096	FALSE	0	5.768321	FALSE	20.7	"good"	8.806258	0	13	28.25804	"male"	FALSE	TRUE
5	3.258096	FALSE	0	5.768321	FALSE	20.7	"good"	8.806258	0	13	29.25804	"male"	FALSE	TRUE
1	3.258096	FALSE	0	5.768321	FALSE	20.7	"good"	8.806258	0	13	30.25804	"male"	FALSE	TRUE
0	3.258096	FALSE	0	5.768321	FALSE	20.7	"good"	8.806258	0	13	31.25804	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	6.551677	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	7.551677	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	8.551677	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"poor"	4.472022	1.791759	12	11.9425	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"poor"	4.472022	1.791759	12	12.9425	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"poor"	4.472022	1.791759	12	13.9425	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	4	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	5	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	6	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	4.472022	1.791759	12	30.14921	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	4.472022	1.791759	12	31.14921	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	4.472022	1.791759	12	32.14921	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	9.722108	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	10.72211	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	11.72211	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	11.1102	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	12.1102	"male"	TRUE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	4.472022	1.791759	12	13.1102	"male"	TRUE	TRUE
5	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.237562	0	11	51.37303	"female"	FALSE	TRUE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.237562	0	11	52.37303	"female"	FALSE	TRUE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.237562	0	11	53.37303	"female"	FALSE	TRUE
1	0	FALSE	5.379713	0	FALSE	6.9	"excellent"	8.170338	1.098612	12	16.11225	"male"	TRUE	FALSE
2	0	FALSE	5.379713	0	FALSE	6.9	"excellent"	8.170338	1.098612	12	17.11225	"male"	TRUE	FALSE
0	0	FALSE	5.379713	0	FALSE	6.9	"excellent"	8.170338	1.098612	12	18.11225	"male"	FALSE	FALSE
5	0	FALSE	5.379713	0	FALSE	13.8	"poor"	8.170338	1.098612	12	49.01574	"female"	FALSE	FALSE
2	0	FALSE	5.379713	0	FALSE	13.8	"poor"	8.170338	1.098612	12	50.01574	"female"	FALSE	FALSE
3	0	FALSE	5.379713	0	FALSE	13.8	"poor"	8.170338	1.098612	12	51.01574	"female"	FALSE	FALSE
0	0	FALSE	5.379713	0	FALSE	0	"excellent"	8.170338	1.098612	12	53.71937	"male"	FALSE	FALSE
1	0	FALSE	5.379713	0	FALSE	0	"excellent"	8.170338	1.098612	12	54.71937	"male"	FALSE	FALSE
0	0	FALSE	5.379713	0	FALSE	0	"excellent"	8.170338	1.098612	12	55.71937	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"good"	8.806258	1.386294	10	50.23682	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.806258	1.386294	8	16.10678	"male"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"good"	8.806258	1.386294	8	40.0219	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.806258	1.386294	8	12.08214	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	12.00548	"male"	TRUE	TRUE
6	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	13.00548	"male"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	14.00548	"male"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	15.00548	"male"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	16.00548	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	6.403833	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	7.403833	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	8.403833	"male"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	9.403833	"male"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	10.40383	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	11.27721	"female"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	12.27721	"female"	TRUE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	13.27721	"female"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	14.27721	"female"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.561934	1.609438	12	15.27721	"female"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.561934	1.609438	13	31.13758	"male"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.561934	1.609438	13	32.13758	"male"	FALSE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.561934	1.609438	13	33.13758	"male"	FALSE	TRUE
7	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.561934	1.609438	13	34.13758	"male"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.561934	1.609438	13	35.13758	"male"	FALSE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.561934	1.609438	12	30.62012	"female"	FALSE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.561934	1.609438	12	31.62012	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.561934	1.609438	12	32.62012	"female"	FALSE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.561934	1.609438	12	33.62012	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.561934	1.609438	12	34.62012	"female"	FALSE	TRUE
1	4.564348	FALSE	6.649632	6.700925	FALSE	3.4	"good"	8.806258	1.098612	8	19.47433	"male"	FALSE	TRUE
0	4.564348	FALSE	6.649632	6.700925	FALSE	3.4	"good"	8.806258	1.098612	8	20.47433	"male"	FALSE	TRUE
1	4.564348	FALSE	6.649632	6.700925	FALSE	3.4	"good"	8.806258	1.098612	8	21.47433	"male"	FALSE	TRUE
0	4.564348	FALSE	6.649632	6.700925	FALSE	10.3	"excellent"	8.806258	1.098612	10.96978	18.12457	"female"	FALSE	TRUE
0	4.564348	FALSE	6.649632	6.700925	FALSE	10.3	"excellent"	8.806258	1.098612	10.96978	19.12457	"female"	FALSE	TRUE
1	4.564348	FALSE	6.649632	6.700925	FALSE	10.3	"excellent"	8.806258	1.098612	10.96978	20.12457	"female"	FALSE	TRUE
0	4.564348	FALSE	6.649632	6.700925	FALSE	3.4	"good"	8.806258	1.098612	12	42.63929	"male"	FALSE	TRUE
0	4.564348	FALSE	6.649632	6.700925	FALSE	3.4	"good"	8.806258	1.098612	12	43.63929	"male"	FALSE	TRUE
4	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.23162	0.6931472	17	26.14374	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.23162	0.6931472	17	27.14374	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.23162	0.6931472	17	28.14374	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.23162	0.6931472	17	29.14374	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"good"	9.23162	1.098612	17	30.14374	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.23162	0.6931472	19	26.27242	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.23162	0.6931472	19	27.27242	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.23162	0.6931472	19	28.27242	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.23162	0.6931472	19	29.27242	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.23162	1.098612	19	30.27242	"male"	FALSE	FALSE
5	0	FALSE	5.875043	0	TRUE	17.2	"good"	8.806258	1.098612	16	47.9562	"female"	FALSE	FALSE
3	0	FALSE	5.875043	0	TRUE	17.2	"good"	8.806258	1.098612	16	48.9562	"female"	FALSE	FALSE
2	0	FALSE	5.875043	0	TRUE	17.2	"good"	8.806258	1.098612	16	49.9562	"female"	FALSE	FALSE
5	0	FALSE	5.875043	0	TRUE	10.57626	"excellent"	8.806258	1.098612	16	13.44832	"female"	TRUE	FALSE
1	0	FALSE	5.875043	0	TRUE	10.57626	"excellent"	8.806258	1.098612	16	14.44832	"female"	TRUE	FALSE
3	0	FALSE	5.875043	0	TRUE	10.57626	"excellent"	8.806258	1.098612	16	15.44832	"female"	TRUE	FALSE
1	0	FALSE	5.875043	0	TRUE	10.57626	"excellent"	8.806258	1.098612	16	10.53799	"male"	TRUE	FALSE
2	0	FALSE	5.875043	0	TRUE	10.57626	"excellent"	8.806258	1.098612	16	11.53799	"male"	TRUE	FALSE
2	0	FALSE	5.875043	0	TRUE	10.57626	"excellent"	8.806258	1.098612	16	12.53799	"male"	TRUE	FALSE
0	0	FALSE	5.369708	0	FALSE	0	"excellent"	8.806258	1.386294	12	40.98563	"male"	FALSE	TRUE
0	0	FALSE	5.369708	0	FALSE	0	"excellent"	8.806258	1.386294	12	41.98563	"male"	FALSE	TRUE
0	0	FALSE	5.369708	0	FALSE	0	"excellent"	8.806258	1.098612	12	42.98563	"male"	FALSE	TRUE
0	0	FALSE	5.369708	0	FALSE	10.57626	"fair"	8.806258	1.386294	12	3.378508	"male"	TRUE	TRUE
0	0	FALSE	5.369708	0	FALSE	10.57626	"fair"	8.806258	1.386294	12	4.378508	"male"	TRUE	TRUE
0	0	FALSE	5.369708	0	FALSE	10.57626	"fair"	8.806258	1.098612	12	5.378508	"male"	TRUE	TRUE
0	0	FALSE	5.369708	0	FALSE	13.8	"good"	8.806258	1.386294	12	16.68172	"female"	TRUE	TRUE
0	0	FALSE	5.369708	0	FALSE	13.8	"good"	8.806258	1.386294	12	17.68172	"female"	TRUE	TRUE
0	0	FALSE	5.369708	0	FALSE	3.4	"excellent"	8.806258	1.386294	12	17.93019	"male"	TRUE	TRUE
0	0	FALSE	5.369708	0	FALSE	3.4	"excellent"	8.806258	1.386294	12	18.93019	"male"	FALSE	TRUE
2	0	FALSE	5.369708	0	FALSE	3.4	"excellent"	8.806258	1.098612	12	19.93019	"male"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	7.793149	1.098612	12	23.86037	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	7.793149	1.098612	12	24.86037	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.3	"excellent"	7.793149	1.386294	12	25.86037	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	10.3	"good"	7.793149	1.098612	8	52.19439	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	TRUE	10.3	"good"	7.793149	1.098612	8	53.19439	"female"	FALSE	TRUE
4	4.564348	TRUE	0	6.160541	TRUE	10.3	"good"	7.793149	1.386294	8	54.19439	"female"	FALSE	TRUE
1	4.564348	FALSE	6.772966	6.824259	FALSE	27.6	"good"	8.659464	1.098612	9	45.86174	"female"	FALSE	FALSE
1	4.564348	FALSE	6.772966	6.824259	FALSE	27.6	"good"	8.659464	1.098612	9	46.86174	"female"	FALSE	FALSE
6	4.564348	FALSE	6.772966	6.824259	FALSE	27.6	"good"	8.659464	1.098612	9	47.86174	"female"	FALSE	FALSE
0	4.564348	FALSE	6.772966	6.824259	FALSE	10.57626	"excellent"	8.659464	1.098612	9	7.986311	"female"	TRUE	FALSE
0	4.564348	FALSE	6.772966	6.824259	FALSE	10.57626	"excellent"	8.659464	1.098612	9	8.986311	"female"	TRUE	FALSE
2	4.564348	FALSE	6.772966	6.824259	FALSE	10.57626	"excellent"	8.659464	1.098612	9	9.986311	"female"	TRUE	FALSE
1	4.564348	FALSE	6.772966	6.824259	FALSE	6.9	"good"	8.659464	1.098612	10	21.39083	"male"	FALSE	FALSE
0	4.564348	FALSE	6.772966	6.824259	FALSE	6.9	"good"	8.659464	1.098612	10	22.39083	"male"	FALSE	FALSE
0	4.564348	FALSE	6.772966	6.824259	FALSE	6.9	"good"	8.659464	1.098612	10	23.39083	"male"	FALSE	FALSE
0	4.564348	FALSE	6.19461	6.245903	FALSE	10.57626	"good"	0	0.6931472	10	4.323066	"male"	TRUE	TRUE
0	4.564348	FALSE	6.19461	6.245903	FALSE	10.57626	"good"	0	0.6931472	10	5.323066	"male"	TRUE	TRUE
1	4.564348	FALSE	6.19461	6.245903	FALSE	10.57626	"good"	0	0.6931472	10	6.323066	"male"	TRUE	TRUE
1	4.564348	FALSE	6.19461	6.245903	FALSE	10.57626	"good"	0	0.6931472	10	7.323066	"male"	TRUE	TRUE
3	4.564348	FALSE	6.19461	6.245903	FALSE	10.57626	"good"	0	0.6931472	10	8.323067	"male"	TRUE	TRUE
0	4.564348	FALSE	6.19461	6.245903	FALSE	10.3	"good"	0	0.6931472	10	20.79398	"female"	FALSE	TRUE
1	4.564348	FALSE	6.19461	6.245903	FALSE	10.3	"good"	0	0.6931472	10	21.79398	"female"	FALSE	TRUE
0	4.564348	FALSE	6.19461	6.245903	FALSE	10.3	"good"	0	0.6931472	10	22.79398	"female"	FALSE	TRUE
3	4.564348	FALSE	6.19461	6.245903	FALSE	10.3	"good"	0	0.6931472	10	23.79398	"female"	FALSE	TRUE
4	4.564348	FALSE	6.19461	6.245903	FALSE	10.3	"good"	0	0.6931472	10	24.79398	"female"	FALSE	TRUE
12	0	FALSE	6.934592	0	TRUE	20.7	"fair"	8.724208	0.6931472	10	46.3436	"female"	FALSE	FALSE
8	0	FALSE	6.934592	0	TRUE	20.7	"fair"	8.724208	0.6931472	10	47.3436	"female"	FALSE	FALSE
4	0	FALSE	6.934592	0	TRUE	20.7	"fair"	8.724208	0.6931472	10	48.3436	"female"	FALSE	FALSE
0	0	FALSE	6.934592	0	FALSE	10.3	"good"	8.724208	0.6931472	12	48.1807	"male"	FALSE	FALSE
0	0	FALSE	6.934592	0	FALSE	10.3	"good"	8.724208	0.6931472	12	49.1807	"male"	FALSE	FALSE
0	0	FALSE	6.934592	0	FALSE	10.3	"good"	8.724208	0.6931472	12	50.1807	"male"	FALSE	FALSE
7	4.564348	FALSE	5.97269	5.046476	FALSE	24.1	"fair"	7.206495	0	7	61.42368	"female"	FALSE	FALSE
13	4.564348	FALSE	5.97269	5.046476	FALSE	24.1	"fair"	7.206495	0	7	62.42368	"female"	FALSE	FALSE
5	4.564348	FALSE	5.97269	5.046476	FALSE	24.1	"fair"	7.206495	0	7	63.42368	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	5.943954	0.6931472	12	27.16222	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	5.943954	0.6931472	12	28.16222	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	5.943954	0.6931472	12	29.16222	"female"	FALSE	TRUE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"good"	5.943954	0.6931472	12	9.21013	"female"	TRUE	TRUE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"good"	5.943954	0.6931472	12	10.21013	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"good"	5.943954	0.6931472	12	11.21013	"female"	TRUE	TRUE
11	3.931826	FALSE	6.907755	7.600903	FALSE	41.4	"good"	9.191941	0.6931472	12	55.64134	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	41.4	"good"	9.191941	0.6931472	12	56.64134	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	41.4	"good"	9.191941	0.6931472	12	57.64134	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"good"	9.191941	0.6931472	12	60.29021	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"good"	9.191941	0.6931472	12	61.29021	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"good"	9.191941	0.6931472	12	62.29021	"male"	FALSE	FALSE
0	3.258096	FALSE	0	7.091243	FALSE	0	"good"	0	0	14	31.69336	"male"	FALSE	TRUE
0	3.258096	FALSE	0	7.091243	FALSE	0	"good"	0	0	14	32.69336	"male"	FALSE	TRUE
0	3.258096	FALSE	0	7.091243	FALSE	0	"good"	0	0	14	33.69336	"male"	FALSE	TRUE
0	3.258096	FALSE	5.752573	7.138867	FALSE	0	"fair"	8.099511	0	9	24.72827	"male"	FALSE	TRUE
0	3.258096	FALSE	5.752573	7.138867	FALSE	0	"fair"	8.099511	0.6931472	9	25.72827	"male"	FALSE	TRUE
0	3.258096	FALSE	5.752573	7.138867	FALSE	0	"fair"	8.099511	1.098612	9	26.72827	"male"	FALSE	TRUE
7	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"good"	9.495983	1.609438	10	19.86858	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"good"	9.495983	1.609438	10	20.86858	"female"	FALSE	FALSE
4	4.564348	TRUE	5.703783	6.160541	FALSE	6.9	"good"	9.495983	1.609438	10	21.86858	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	6.160541	FALSE	13.8	"good"	9.495983	1.609438	10.96978	18.34634	"male"	FALSE	FALSE
10	4.564348	TRUE	5.703783	6.160541	FALSE	13.8	"good"	9.495983	1.609438	10.96978	19.34634	"male"	FALSE	FALSE
16	4.564348	TRUE	5.703783	6.160541	FALSE	13.8	"good"	9.495983	1.609438	10.96978	20.34634	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	6.160541	TRUE	24.1	"fair"	9.495983	1.609438	10	22.35455	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	6.160541	TRUE	24.1	"fair"	9.495983	1.609438	10	23.35455	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	6.160541	TRUE	24.1	"fair"	9.495983	1.609438	10	24.35455	"male"	FALSE	FALSE
5	4.564348	TRUE	5.703783	6.160541	FALSE	20.7	"fair"	9.495983	1.609438	9	49.73032	"female"	FALSE	FALSE
3	4.564348	TRUE	5.703783	6.160541	FALSE	20.7	"fair"	9.495983	1.609438	9	50.73032	"female"	FALSE	FALSE
6	4.564348	TRUE	5.703783	6.160541	FALSE	20.7	"fair"	9.495983	1.609438	9	51.73032	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	6.160541	TRUE	20.7	"good"	9.495983	1.609438	12	43.36208	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	6.160541	TRUE	20.7	"good"	9.495983	1.609438	12	44.36208	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	6.160541	TRUE	20.7	"good"	9.495983	1.609438	12	45.36208	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	9.716633	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	10.71663	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	11.71663	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.933147	1.791759	12	31.13484	"male"	FALSE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.933147	1.791759	12	32.13484	"male"	FALSE	TRUE
8	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.933147	1.791759	12	33.13484	"male"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.933147	1.791759	8	27.96715	"female"	FALSE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.933147	1.791759	8	28.96715	"female"	FALSE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.933147	1.791759	8	29.96715	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	5.760438	"female"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	6.760438	"female"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	7.760438	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	8.684463	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	9.684463	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.933147	1.791759	8	10.68446	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.166429	1.386294	16	29.3306	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.166429	1.386294	16	30.3306	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.166429	1.386294	16	31.3306	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.166429	1.386294	12	26.49418	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.166429	1.386294	12	27.49418	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.166429	1.386294	12	28.49418	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.166429	1.386294	12	4.068446	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.166429	1.386294	12	5.068446	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.166429	1.386294	12	6.068446	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.574045	1.386294	12	23.04723	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.574045	1.386294	12	24.04723	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.574045	1.386294	12	25.04723	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.574045	1.386294	12	26.04723	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.574045	1.386294	12	27.04723	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	0.7967146	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	1.796715	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	2.796715	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	3.796715	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	4.796715	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	4.898015	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	5.898015	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	6.898015	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	7.898015	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.574045	1.386294	12	8.898015	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.574045	1.386294	13	24.65708	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.574045	1.386294	13	25.65708	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.574045	1.386294	13	26.65708	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.574045	1.386294	13	27.65708	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	8.574045	1.386294	13	28.65708	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.671384	1.098612	14	6.554415	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.671384	1.098612	14	7.554415	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.671384	1.098612	14	8.554415	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"fair"	8.671384	1.098612	14	31.89322	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"fair"	8.671384	1.098612	14	32.89322	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"fair"	8.671384	1.098612	14	33.89322	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.671384	1.098612	14	8.380561	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.671384	1.098612	14	9.380561	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.671384	1.098612	14	10.38056	"male"	TRUE	TRUE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.532073	1.386294	13	32.19439	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.532073	1.386294	13	33.19439	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.532073	1.386294	13	34.19439	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.532073	1.386294	13	9.848049	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.532073	1.386294	13	10.84805	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.532073	1.386294	13	11.84805	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.532073	1.386294	13	12.50376	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.532073	1.386294	13	13.50376	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.532073	1.386294	13	14.50376	"male"	TRUE	FALSE
10	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"good"	8.623931	1.386294	13	31.73443	"female"	FALSE	FALSE
5	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"good"	8.623931	1.386294	13	32.73443	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"good"	8.623931	1.386294	13	33.73443	"female"	FALSE	FALSE
3	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.623931	1.386294	13	6.19028	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.623931	1.386294	13	7.19028	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.623931	1.386294	13	8.190281	"female"	TRUE	FALSE
2	4.564348	TRUE	5.010635	6.160541	TRUE	17.2	"good"	8.623931	1.386294	12	30.75975	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	6.160541	TRUE	17.2	"good"	8.623931	1.386294	12	31.75975	"male"	FALSE	FALSE
2	4.564348	TRUE	5.010635	6.160541	TRUE	17.2	"good"	8.623931	1.386294	12	32.75975	"male"	FALSE	FALSE
0	0	FALSE	6.030685	0	TRUE	34.5	"poor"	8.806258	1.386294	5	31.13758	"female"	FALSE	FALSE
3	0	FALSE	6.030685	0	TRUE	34.5	"poor"	8.806258	1.609438	5	32.13758	"female"	FALSE	FALSE
10	0	FALSE	6.030685	0	TRUE	34.5	"poor"	8.806258	1.791759	5	33.13758	"female"	FALSE	FALSE
1	0	FALSE	6.030685	0	FALSE	6.9	"fair"	8.806258	1.386294	5	16.29295	"female"	TRUE	FALSE
10	0	FALSE	6.030685	0	FALSE	6.9	"fair"	8.806258	1.609438	5	17.29295	"female"	TRUE	FALSE
12	0	FALSE	6.030685	0	FALSE	6.9	"fair"	8.806258	1.791759	5	18.29295	"female"	FALSE	FALSE
0	0	FALSE	6.030685	0	FALSE	0	"good"	8.806258	1.386294	5	15.3128	"female"	TRUE	FALSE
0	0	FALSE	6.030685	0	FALSE	0	"good"	8.806258	1.609438	5	16.3128	"female"	TRUE	FALSE
2	0	FALSE	6.030685	0	FALSE	0	"good"	8.806258	1.791759	5	17.3128	"female"	TRUE	FALSE
1	0	FALSE	6.030685	0	FALSE	17.2	"good"	8.806258	1.386294	5	39.82478	"male"	FALSE	FALSE
0	0	FALSE	6.030685	0	FALSE	17.2	"good"	8.806258	1.609438	5	40.82478	"male"	FALSE	FALSE
4	0	FALSE	6.030685	0	FALSE	17.2	"good"	8.806258	1.791759	5	41.82478	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.345928	0.6931472	12	38.14921	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.345928	0.6931472	12	39.14921	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"excellent"	9.345928	0.6931472	12	40.14921	"male"	FALSE	FALSE
11	4.564348	TRUE	5.703783	5.755076	TRUE	13.8	"good"	9.345928	0.6931472	12	34.0835	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	13.8	"good"	9.345928	0.6931472	12	35.0835	"female"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	TRUE	13.8	"good"	9.345928	0.6931472	12	36.0835	"female"	FALSE	FALSE
0	3.258096	FALSE	0	7.391662	TRUE	31	"fair"	7.355783	0	5	58.25325	"female"	FALSE	TRUE
0	3.258096	FALSE	0	7.391662	TRUE	31	"fair"	7.355783	0	5	59.25325	"female"	FALSE	TRUE
3	3.258096	FALSE	0	7.391662	TRUE	31	"fair"	7.355783	0	5	60.25325	"female"	FALSE	TRUE
10	3.258096	FALSE	0	7.391662	TRUE	31	"fair"	7.355783	0	5	61.25325	"female"	FALSE	TRUE
22	3.258096	FALSE	0	7.391662	TRUE	31	"fair"	7.355783	0	5	62.25325	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.002816	1.791759	12	53.3744	"male"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.002816	1.609438	12	54.3744	"male"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.002816	1.609438	12	55.3744	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.791759	9	18.92676	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.791759	7	15.81383	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.609438	7	16.81383	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.609438	7	17.81383	"female"	TRUE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.002816	1.791759	7	50.11636	"female"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.002816	1.609438	7	51.11636	"female"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.002816	1.609438	7	52.11636	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.791759	10	20.53114	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.609438	10	21.53114	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.609438	10	22.53114	"female"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.791759	7	17.31691	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.609438	7	18.31691	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.002816	1.609438	7	19.31691	"female"	FALSE	TRUE
4	3.258096	FALSE	7.006478	7.976801	FALSE	13.8	"excellent"	9.169367	1.386294	12	40.59685	"female"	FALSE	FALSE
1	3.258096	FALSE	7.006478	7.976801	FALSE	13.8	"excellent"	9.169367	1.386294	12	41.59685	"female"	FALSE	FALSE
1	3.258096	FALSE	7.006478	7.976801	FALSE	13.8	"excellent"	9.169367	1.386294	12	42.59685	"female"	FALSE	FALSE
2	3.258096	FALSE	7.006478	7.976801	FALSE	10.57626	"excellent"	9.169367	1.386294	12	3.022587	"female"	TRUE	FALSE
2	3.258096	FALSE	7.006478	7.976801	FALSE	10.57626	"excellent"	9.169367	1.386294	12	4.022587	"female"	TRUE	FALSE
2	3.258096	FALSE	7.006478	7.976801	FALSE	10.57626	"excellent"	9.169367	1.386294	12	5.022587	"female"	TRUE	FALSE
1	3.258096	FALSE	7.006478	7.976801	FALSE	10.3	"excellent"	9.169367	1.386294	13	37.40178	"male"	FALSE	FALSE
0	3.258096	FALSE	7.006478	7.976801	FALSE	10.3	"excellent"	9.169367	1.386294	13	38.40178	"male"	FALSE	FALSE
0	3.258096	FALSE	7.006478	7.976801	FALSE	10.3	"excellent"	9.169367	1.386294	13	39.40178	"male"	FALSE	FALSE
0	3.258096	FALSE	7.006478	7.976801	FALSE	10.57626	"excellent"	9.169367	1.386294	12	6.160164	"male"	TRUE	FALSE
2	3.258096	FALSE	7.006478	7.976801	FALSE	10.57626	"excellent"	9.169367	1.386294	12	7.160164	"male"	TRUE	FALSE
0	3.258096	FALSE	7.006478	7.976801	FALSE	10.57626	"excellent"	9.169367	1.386294	12	8.160164	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.091459	0	18	46.38193	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	0	"excellent"	9.091459	0	18	47.38193	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.091459	0	18	48.38193	"male"	FALSE	TRUE
8	3.258096	FALSE	6.510258	7.896553	TRUE	31	"good"	9.104807	1.098612	12	50.37098	"female"	FALSE	FALSE
3	3.258096	FALSE	6.510258	7.896553	TRUE	31	"good"	9.104807	1.098612	12	51.37098	"female"	FALSE	FALSE
7	3.258096	FALSE	6.510258	7.896553	TRUE	31	"good"	9.104807	1.098612	12	52.37098	"female"	FALSE	FALSE
1	3.258096	FALSE	6.510258	7.896553	FALSE	6.9	"excellent"	9.104807	1.098612	12	14.19302	"male"	TRUE	FALSE
2	3.258096	FALSE	6.510258	7.896553	FALSE	6.9	"excellent"	9.104807	1.098612	12	15.19302	"male"	TRUE	FALSE
2	3.258096	FALSE	6.510258	7.896553	FALSE	6.9	"excellent"	9.104807	1.098612	12	16.19302	"male"	TRUE	FALSE
0	3.258096	FALSE	6.510258	7.896553	FALSE	10.57626	"excellent"	9.104807	1.098612	12	11.65229	"female"	TRUE	FALSE
0	3.258096	FALSE	6.510258	7.896553	FALSE	10.57626	"excellent"	9.104807	1.098612	12	12.65229	"female"	TRUE	FALSE
1	3.258096	FALSE	6.510258	7.896553	FALSE	10.57626	"excellent"	9.104807	1.098612	12	13.65229	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"excellent"	8.806258	0	13	25.99315	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"excellent"	8.806258	0	13	26.99315	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	10.3	"excellent"	8.806258	0	13	27.99315	"male"	FALSE	TRUE
3	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	9.110368	1.609438	10	13.69747	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	9.110368	1.609438	10	14.69747	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	9.110368	1.609438	10	15.69747	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"good"	9.110368	1.609438	8	34.84189	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"good"	9.110368	1.609438	8	35.84189	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	27.6	"good"	9.110368	1.609438	8	36.84189	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.110368	1.609438	10	12.35318	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.110368	1.609438	10	13.35318	"female"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.110368	1.609438	10	14.35318	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	37.9	"poor"	9.110368	1.609438	10	32.15058	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	37.9	"poor"	9.110368	1.609438	10	33.15058	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	TRUE	37.9	"poor"	9.110368	1.609438	10	34.15058	"female"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.110368	1.609438	10	6.266941	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.110368	1.609438	10	7.266941	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.110368	1.609438	10	8.26694	"male"	TRUE	FALSE
6	0	FALSE	5.702181	0	FALSE	17.2	"excellent"	9.434479	1.098612	12	47.3347	"female"	FALSE	FALSE
3	0	FALSE	5.702181	0	FALSE	17.2	"excellent"	9.434479	1.098612	12	48.3347	"female"	FALSE	FALSE
3	0	FALSE	5.702181	0	FALSE	17.2	"excellent"	9.434479	1.098612	12	49.3347	"female"	FALSE	FALSE
5	0	FALSE	5.702181	0	FALSE	17.2	"excellent"	9.434479	1.098612	12	50.3347	"female"	FALSE	FALSE
2	0	FALSE	5.702181	0	FALSE	17.2	"excellent"	9.434479	1.386294	12	51.3347	"female"	FALSE	FALSE
9	0	FALSE	5.702181	0	FALSE	13.8	"excellent"	9.434479	1.098612	12	56.99658	"male"	FALSE	FALSE
0	0	FALSE	5.702181	0	FALSE	13.8	"excellent"	9.434479	1.098612	12	57.99658	"male"	FALSE	FALSE
2	0	FALSE	5.702181	0	FALSE	13.8	"excellent"	9.434479	1.098612	12	58.99658	"male"	FALSE	FALSE
4	0	FALSE	5.702181	0	FALSE	13.8	"excellent"	9.434479	1.098612	12	59.99658	"male"	FALSE	FALSE
7	0	FALSE	5.702181	0	FALSE	13.8	"excellent"	9.434479	1.386294	12	60.99658	"male"	FALSE	FALSE
9	0	FALSE	5.702181	0	FALSE	3.4	"good"	9.434479	1.098612	12	17.88638	"male"	TRUE	FALSE
1	0	FALSE	5.702181	0	FALSE	3.4	"good"	9.434479	1.098612	12	18.88638	"male"	FALSE	FALSE
2	0	FALSE	5.702181	0	FALSE	3.4	"good"	9.434479	1.098612	12	19.88638	"male"	FALSE	FALSE
0	0	FALSE	5.702181	0	FALSE	3.4	"good"	9.434479	1.098612	12	20.88638	"male"	FALSE	FALSE
3	0	FALSE	5.702181	0	FALSE	3.4	"good"	9.434479	1.386294	12	21.88638	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.512811	1.098612	12	13.97399	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.512811	1.098612	12	14.97399	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.512811	1.098612	12	15.97399	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.512811	1.098612	12	34.19576	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.512811	1.098612	12	35.19576	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.512811	1.098612	12	36.19576	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.512811	1.098612	10	34.5024	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.512811	1.098612	10	35.5024	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.512811	1.098612	10	36.5024	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"excellent"	8.672612	0	12	57.26215	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"excellent"	8.672612	0	12	58.26215	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"excellent"	8.672612	0	12	59.26215	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.904363	1.386294	12	16.93908	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	8.904363	1.386294	12	17.93908	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.904363	1.386294	12	18.93908	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	8.904363	1.386294	12	14.44216	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	8.904363	1.386294	12	15.44216	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	0	"excellent"	8.904363	1.386294	12	16.44216	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.904363	1.386294	11	40.91171	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.904363	1.386294	11	41.91171	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.904363	1.386294	11	42.91171	"male"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	13.8	"excellent"	8.904363	1.386294	12	39.43874	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	13.8	"excellent"	8.904363	1.386294	12	40.43874	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	13.8	"excellent"	8.904363	1.386294	12	41.43874	"female"	FALSE	FALSE
0	3.258096	FALSE	6.357409	7.743703	FALSE	3.4	"good"	9.064041	0.6931472	14	25.9822	"male"	FALSE	FALSE
0	3.258096	FALSE	6.357409	7.743703	FALSE	3.4	"good"	9.064041	0.6931472	14	26.9822	"male"	FALSE	FALSE
1	3.258096	FALSE	6.357409	7.743703	FALSE	3.4	"good"	9.064041	1.098612	14	27.9822	"male"	FALSE	FALSE
0	3.258096	FALSE	6.357409	7.743703	FALSE	0	"good"	9.064041	0.6931472	12	24.91171	"female"	FALSE	FALSE
7	3.258096	FALSE	6.357409	7.743703	FALSE	0	"good"	9.064041	0.6931472	12	25.91171	"female"	FALSE	FALSE
1	3.258096	FALSE	6.357409	7.743703	FALSE	0	"good"	9.064041	1.098612	12	26.91171	"female"	FALSE	FALSE
0	3.258096	FALSE	6.223171	7.609466	TRUE	27.6	"good"	7.935829	1.098612	12	35.68789	"female"	FALSE	TRUE
0	3.258096	FALSE	6.223171	7.609466	TRUE	27.6	"good"	7.935829	1.098612	12	36.68789	"female"	FALSE	TRUE
1	3.258096	FALSE	6.223171	7.609466	TRUE	27.6	"good"	7.935829	1.098612	12	37.68789	"female"	FALSE	TRUE
0	3.258096	FALSE	6.223171	7.609466	FALSE	10.57626	"excellent"	7.935829	1.098612	12	11.99726	"male"	TRUE	TRUE
0	3.258096	FALSE	6.223171	7.609466	FALSE	10.57626	"excellent"	7.935829	1.098612	12	12.99726	"male"	TRUE	TRUE
0	3.258096	FALSE	6.223171	7.609466	FALSE	10.57626	"excellent"	7.935829	1.098612	12	13.99726	"male"	TRUE	TRUE
0	3.258096	FALSE	6.223171	7.609466	FALSE	10.3	"excellent"	7.935829	1.098612	12	14.59548	"male"	TRUE	TRUE
0	3.258096	FALSE	6.223171	7.609466	FALSE	10.3	"excellent"	7.935829	1.098612	12	15.59548	"male"	TRUE	TRUE
0	3.258096	FALSE	6.223171	7.609466	FALSE	10.3	"excellent"	7.935829	1.098612	12	16.59548	"male"	TRUE	TRUE
1	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.506274	1.098612	12	35.86584	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.506274	1.098612	12	36.86584	"female"	FALSE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	6.9	"good"	8.506274	1.098612	12	37.86584	"female"	FALSE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	10.57626	"excellent"	8.506274	1.098612	12	13.97399	"male"	TRUE	FALSE
2	3.931826	FALSE	0	7.600903	FALSE	10.57626	"excellent"	8.506274	1.098612	12	14.97399	"male"	TRUE	FALSE
4	3.931826	FALSE	0	7.600903	FALSE	10.57626	"excellent"	8.506274	1.098612	12	15.97399	"male"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	10.57626	"excellent"	8.506274	1.098612	12	9.533196	"female"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	10.57626	"excellent"	8.506274	1.098612	12	10.5332	"female"	TRUE	FALSE
0	3.931826	FALSE	0	7.600903	FALSE	10.57626	"excellent"	8.506274	1.098612	12	11.5332	"female"	TRUE	FALSE
0	0	FALSE	2.890372	0	TRUE	10.57626	"excellent"	8.806258	1.386294	14	9.83436	"male"	TRUE	TRUE
2	0	FALSE	2.890372	0	TRUE	10.57626	"excellent"	8.806258	1.386294	14	10.83436	"male"	TRUE	TRUE
0	0	FALSE	2.890372	0	TRUE	10.57626	"excellent"	8.806258	1.386294	14	11.83436	"male"	TRUE	TRUE
3	0	FALSE	2.890372	0	FALSE	17.2	"good"	8.806258	1.386294	14	32.98015	"female"	FALSE	TRUE
3	0	FALSE	2.890372	0	FALSE	17.2	"good"	8.806258	1.386294	14	33.98015	"female"	FALSE	TRUE
4	0	FALSE	2.890372	0	FALSE	17.2	"good"	8.806258	1.386294	14	34.98015	"female"	FALSE	TRUE
2	0	FALSE	2.890372	0	FALSE	6.9	"excellent"	8.806258	1.386294	13	34.73511	"male"	FALSE	TRUE
1	0	FALSE	2.890372	0	FALSE	6.9	"excellent"	8.806258	1.386294	13	35.73511	"male"	FALSE	TRUE
3	0	FALSE	2.890372	0	FALSE	6.9	"excellent"	8.806258	1.386294	13	36.73511	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.598766	0	14	29.94114	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.598766	0	14	30.94114	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.061929	FALSE	6.9	"excellent"	8.598766	0	14	31.94114	"male"	FALSE	FALSE
10	0	FALSE	5.273	0	FALSE	24.1	"good"	9.082307	1.609438	4	33.98494	"female"	FALSE	FALSE
2	0	FALSE	5.273	0	FALSE	24.1	"good"	9.082307	1.609438	4	34.98494	"female"	FALSE	FALSE
1	0	FALSE	5.273	0	FALSE	24.1	"good"	9.082307	1.609438	4	35.98494	"female"	FALSE	FALSE
2	0	FALSE	5.273	0	FALSE	10.57626	"good"	9.082307	1.609438	4	9.092402	"male"	TRUE	FALSE
0	0	FALSE	5.273	0	FALSE	10.57626	"good"	9.082307	1.609438	4	10.0924	"male"	TRUE	FALSE
1	0	FALSE	5.273	0	FALSE	10.57626	"good"	9.082307	1.609438	4	11.0924	"male"	TRUE	FALSE
4	0	FALSE	5.273	0	FALSE	3.4	"good"	9.082307	1.609438	4	14.77344	"male"	TRUE	FALSE
2	0	FALSE	5.273	0	FALSE	3.4	"good"	9.082307	1.609438	4	15.77344	"male"	TRUE	FALSE
1	0	FALSE	5.273	0	FALSE	3.4	"good"	9.082307	1.609438	4	16.77344	"male"	TRUE	FALSE
0	0	FALSE	5.273	0	FALSE	10.57626	"good"	9.082307	1.609438	4	13.07324	"male"	TRUE	FALSE
7	0	FALSE	5.273	0	FALSE	10.57626	"good"	9.082307	1.609438	4	14.07324	"male"	TRUE	FALSE
3	0	FALSE	5.273	0	FALSE	10.57626	"good"	9.082307	1.609438	4	15.07324	"male"	TRUE	FALSE
0	0	FALSE	5.273	0	FALSE	6.9	"fair"	9.082307	1.609438	5	38.87748	"male"	FALSE	FALSE
0	0	FALSE	5.273	0	FALSE	6.9	"fair"	9.082307	1.609438	5	39.87748	"male"	FALSE	FALSE
0	0	FALSE	5.273	0	FALSE	6.9	"fair"	9.082307	1.609438	5	40.87748	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.108838	0.6931472	12	48.28474	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.108838	0.6931472	12	49.28474	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"good"	9.108838	0.6931472	12	50.28474	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"fair"	9.108838	0.6931472	12	16.63792	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"fair"	9.108838	0.6931472	12	17.63792	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"fair"	9.108838	0.6931472	12	18.63792	"female"	FALSE	FALSE
1	4.564348	FALSE	6.383507	6.4348	FALSE	17.2	"excellent"	8.762272	0.6931472	14	24.47091	"female"	FALSE	FALSE
3	4.564348	FALSE	6.383507	6.4348	FALSE	17.2	"excellent"	8.762272	0.6931472	14	25.47091	"female"	FALSE	FALSE
0	4.564348	FALSE	6.383507	6.4348	FALSE	17.2	"excellent"	8.762272	0.6931472	14	26.47091	"female"	FALSE	FALSE
0	4.564348	FALSE	6.383507	6.4348	FALSE	0	"excellent"	8.762272	0.6931472	13	24.94182	"male"	FALSE	FALSE
0	4.564348	FALSE	6.383507	6.4348	FALSE	0	"excellent"	8.762272	0.6931472	13	25.94182	"male"	FALSE	FALSE
0	4.564348	FALSE	6.383507	6.4348	FALSE	0	"excellent"	8.762272	0.6931472	13	26.94182	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	7.597536	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	8.597536	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	9.597536	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	10.59754	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.609438	10.96978	11.59754	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	27.06366	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	28.06366	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	29.06366	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	30.06366	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.609438	10.96978	31.06366	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	6.310746	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	7.310746	"female"	TRUE	FALSE
4	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	8.310746	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.386294	10.96978	9.310746	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.609438	10.96978	10.31075	"female"	TRUE	FALSE
14	0	FALSE	6.815157	0	FALSE	10.57626	"excellent"	9.066972	1.386294	14	0.1916496	"male"	TRUE	FALSE
12	0	FALSE	6.815157	0	FALSE	10.57626	"excellent"	9.066972	1.386294	14	1.19165	"male"	TRUE	FALSE
10	0	FALSE	6.815157	0	FALSE	10.57626	"excellent"	9.066972	1.386294	14	2.191649	"male"	TRUE	FALSE
5	0	FALSE	6.815157	0	FALSE	10.57626	"excellent"	9.066972	1.386294	14	3.191649	"male"	TRUE	FALSE
3	0	FALSE	6.815157	0	FALSE	10.57626	"excellent"	9.066972	1.386294	14	4.191649	"male"	TRUE	FALSE
6	0	FALSE	0	0	TRUE	6.9	"excellent"	8.124207	0.6931472	12	19.28542	"female"	FALSE	FALSE
18	0	FALSE	0	0	TRUE	6.9	"excellent"	8.124207	1.098612	12	20.28542	"female"	FALSE	FALSE
11	0	FALSE	0	0	TRUE	6.9	"excellent"	8.124207	1.098612	12	21.28542	"female"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	6.9	"excellent"	8.124207	1.098612	12	22.28542	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	6.9	"excellent"	8.124207	1.098612	12	23.28542	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"excellent"	8.124207	0.6931472	12	22.74607	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	10.3	"excellent"	8.124207	1.098612	12	23.74607	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"excellent"	8.124207	1.098612	12	24.74607	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.124207	1.098612	12	25.74607	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.124207	1.098612	12	26.74607	"male"	FALSE	FALSE
0	4.564348	FALSE	0	5.714254	FALSE	3.4	"excellent"	7.536385	0.6931472	5	14.91581	"male"	TRUE	TRUE
0	4.564348	FALSE	0	5.714254	FALSE	3.4	"excellent"	7.536385	0.6931472	5	15.91581	"male"	TRUE	TRUE
0	4.564348	FALSE	0	5.714254	FALSE	3.4	"excellent"	7.536385	0.6931472	5	16.91581	"male"	TRUE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"excellent"	9.238429	0.6931472	14	25.00479	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"excellent"	9.238429	0.6931472	14	26.00479	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"excellent"	9.238429	1.098612	14	27.00479	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"excellent"	9.238429	1.098612	14	28.00479	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"excellent"	9.238429	1.098612	14	29.00479	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.402491	1.609438	12	0.3312799	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.402491	1.609438	12	1.33128	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.402491	1.791759	12	2.33128	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.402491	1.791759	12	3.33128	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.402491	1.791759	12	4.33128	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	7.793149	1.098612	8	8.81588	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	7.793149	1.098612	8	9.81588	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	7.793149	1.386294	8	10.81588	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.532073	1.386294	10.96978	27.98083	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.532073	1.386294	10.96978	28.98083	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.532073	1.386294	10.96978	29.98083	"male"	FALSE	FALSE
2	4.564348	TRUE	5.977771	5.755076	FALSE	17.2	"good"	8.48387	0.6931472	13	32.31759	"female"	FALSE	FALSE
5	4.564348	TRUE	5.977771	5.755076	FALSE	17.2	"good"	8.48387	0.6931472	13	33.31759	"female"	FALSE	FALSE
2	4.564348	TRUE	5.977771	5.755076	FALSE	17.2	"good"	8.48387	0.6931472	13	34.31759	"female"	FALSE	FALSE
0	4.564348	TRUE	5.977771	5.755076	TRUE	3.4	"good"	8.48387	0.6931472	14	28.23545	"male"	FALSE	FALSE
0	4.564348	TRUE	5.977771	5.755076	TRUE	3.4	"good"	8.48387	0.6931472	14	29.23545	"male"	FALSE	FALSE
0	4.564348	TRUE	5.977771	5.755076	TRUE	3.4	"good"	8.48387	0.6931472	14	30.23545	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	13.8371	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	14.8371	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	15.8371	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	9.556457	1.609438	18	49.14442	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.556457	1.609438	18	50.14442	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.556457	1.609438	18	51.14442	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	9.182752	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	10.18275	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	11.18275	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	10.39014	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	11.39014	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.556457	1.609438	12	12.39014	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	20.7	"good"	9.556457	1.609438	12	39.36208	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	20.7	"good"	9.556457	1.609438	12	40.36208	"female"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	20.7	"good"	9.556457	1.609438	12	41.36208	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.250337	1.386294	16	4.25462	"female"	TRUE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.250337	1.386294	16	5.25462	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.250337	1.386294	16	6.25462	"female"	TRUE	FALSE
10	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.250337	1.386294	16	2.527036	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.250337	1.386294	16	3.527036	"female"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.250337	1.386294	16	4.527036	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.250337	1.386294	16	29.14168	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.250337	1.386294	16	30.14168	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.250337	1.386294	16	31.14168	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.250337	1.386294	14	28.47365	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.250337	1.386294	14	29.47365	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.250337	1.386294	14	30.47365	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	24.1	"excellent"	9.166161	1.386294	12	31.2553	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	24.1	"excellent"	9.166161	1.386294	12	32.25531	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	24.1	"excellent"	9.166161	1.386294	12	33.25531	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.166161	1.386294	12	11.82204	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.166161	1.386294	12	12.82204	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.166161	1.386294	12	13.82204	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.166161	1.386294	7	37.28679	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.166161	1.386294	7	38.28679	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.166161	1.386294	7	39.28679	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.166161	1.386294	12	9.174538	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.166161	1.386294	12	10.17454	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.166161	1.386294	12	11.17454	"male"	TRUE	FALSE
1	0	FALSE	6.287598	0	FALSE	10.57626	"excellent"	9.154317	1.94591	12	13.04312	"male"	TRUE	FALSE
7	0	FALSE	6.287598	0	FALSE	10.57626	"excellent"	9.154317	1.94591	12	14.04312	"male"	TRUE	FALSE
7	0	FALSE	6.287598	0	FALSE	10.57626	"excellent"	9.154317	1.94591	12	15.04312	"male"	TRUE	FALSE
1	0	FALSE	6.287598	0	FALSE	10.57626	"fair"	9.154317	1.94591	12	12.01917	"male"	TRUE	FALSE
3	0	FALSE	6.287598	0	FALSE	10.57626	"fair"	9.154317	1.94591	12	13.01917	"male"	TRUE	FALSE
7	0	FALSE	6.287598	0	FALSE	10.57626	"fair"	9.154317	1.94591	12	14.01917	"male"	TRUE	FALSE
1	0	FALSE	6.287598	0	FALSE	10.57626	"fair"	9.154317	1.94591	12	10.85284	"male"	TRUE	FALSE
8	0	FALSE	6.287598	0	FALSE	10.57626	"fair"	9.154317	1.94591	12	11.85284	"male"	TRUE	FALSE
5	0	FALSE	6.287598	0	FALSE	10.57626	"fair"	9.154317	1.94591	12	12.85284	"male"	TRUE	FALSE
1	0	FALSE	6.287598	0	FALSE	6.9	"excellent"	9.154317	1.94591	13	38.72416	"male"	FALSE	FALSE
2	0	FALSE	6.287598	0	FALSE	6.9	"excellent"	9.154317	1.94591	13	39.72416	"male"	FALSE	FALSE
5	0	FALSE	6.287598	0	FALSE	6.9	"excellent"	9.154317	1.94591	13	40.72416	"male"	FALSE	FALSE
1	0	FALSE	6.287598	0	FALSE	10.3	"fair"	9.154317	1.94591	12	33.11704	"female"	FALSE	FALSE
7	0	FALSE	6.287598	0	FALSE	10.3	"fair"	9.154317	1.94591	12	34.11704	"female"	FALSE	FALSE
9	0	FALSE	6.287598	0	FALSE	10.3	"fair"	9.154317	1.94591	12	35.11704	"female"	FALSE	FALSE
2	0	FALSE	6.287598	0	FALSE	10.57626	"excellent"	9.154317	1.94591	12	9.004791	"male"	TRUE	FALSE
3	0	FALSE	6.287598	0	FALSE	10.57626	"excellent"	9.154317	1.94591	12	10.00479	"male"	TRUE	FALSE
3	0	FALSE	6.287598	0	FALSE	10.57626	"excellent"	9.154317	1.94591	12	11.00479	"male"	TRUE	FALSE
6	0	FALSE	6.287598	0	FALSE	3.4	"excellent"	9.154317	1.94591	12	14.32717	"male"	TRUE	FALSE
6	0	FALSE	6.287598	0	FALSE	3.4	"excellent"	9.154317	1.94591	12	15.32717	"male"	TRUE	FALSE
0	0	FALSE	6.287598	0	FALSE	3.4	"excellent"	9.154317	1.94591	12	16.32717	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	1.098612	9	2.491444	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	1.098612	9	3.491444	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.806258	1.386294	9	4.491444	"female"	TRUE	TRUE
1	0	FALSE	6.437399	0	FALSE	6.9	"excellent"	9.413729	0.6931472	14	32.75565	"male"	FALSE	FALSE
2	4.564348	FALSE	6.745236	6.79653	FALSE	13.8	"excellent"	9.308191	0.6931472	20	43.30185	"male"	FALSE	FALSE
1	4.564348	FALSE	6.745236	6.79653	FALSE	13.8	"excellent"	9.308191	0.6931472	20	44.30185	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.74401	0	9	21.54415	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	7.74401	0	9	22.54415	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	7.74401	0	9	23.54415	"female"	FALSE	FALSE
0	0	FALSE	6.384047	0	FALSE	10.57626	"excellent"	8.583358	1.386294	13	2.116359	"female"	TRUE	TRUE
2	0	FALSE	6.384047	0	FALSE	10.57626	"excellent"	8.583358	1.386294	13	3.116359	"female"	TRUE	TRUE
1	0	FALSE	6.384047	0	FALSE	10.57626	"excellent"	8.583358	1.386294	13	4.116359	"female"	TRUE	TRUE
10	0	FALSE	5.879527	0	TRUE	10.57626	"excellent"	8.800647	1.386294	9	0.6605065	"male"	TRUE	FALSE
7	0	FALSE	5.879527	0	TRUE	10.57626	"excellent"	8.800647	1.386294	9	1.660506	"male"	TRUE	FALSE
1	0	FALSE	5.879527	0	TRUE	10.57626	"excellent"	8.800647	1.386294	9	2.660506	"male"	TRUE	FALSE
1	0	FALSE	5.879527	0	TRUE	10.57626	"excellent"	8.800647	1.386294	9	3.660506	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.445271	0.6931472	16	34.38467	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.445271	0.6931472	16	35.38467	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"excellent"	9.445271	0.6931472	16	36.38467	"male"	FALSE	FALSE
0	4.564348	FALSE	4.959693	5.010986	FALSE	10.57626	"excellent"	8.138098	1.098612	12	2.001369	"female"	TRUE	TRUE
0	4.564348	FALSE	4.959693	5.010986	FALSE	10.57626	"excellent"	8.138098	1.098612	12	3.001369	"female"	TRUE	TRUE
0	4.564348	FALSE	4.959693	5.010986	FALSE	10.57626	"excellent"	8.138098	1.098612	12	4.001369	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.279862	1.386294	13	1.94935	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.279862	1.609438	13	2.94935	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.279862	1.791759	13	3.94935	"male"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"excellent"	9.531702	1.098612	10.96978	34.83915	"female"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"excellent"	9.531702	1.098612	10.96978	35.83915	"female"	FALSE	TRUE
8	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"excellent"	9.531702	1.386294	10.96978	36.83915	"female"	FALSE	TRUE
11	4.564348	TRUE	5.010635	5.061929	TRUE	10.57626	"excellent"	5.300383	0.6931472	12	0.6386037	"male"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	TRUE	10.57626	"excellent"	5.300383	0.6931472	12	1.638604	"male"	TRUE	FALSE
1	4.564348	TRUE	5.010635	5.061929	TRUE	10.57626	"excellent"	5.300383	0.6931472	12	2.638604	"male"	TRUE	FALSE
0	4.564348	TRUE	5.010635	5.061929	TRUE	10.57626	"excellent"	5.300383	0.6931472	12	3.638604	"male"	TRUE	FALSE
1	4.564348	FALSE	5.98202	5.799093	TRUE	10.57626	"excellent"	8.806258	1.098612	8	1.804244	"male"	TRUE	FALSE
0	4.564348	FALSE	5.98202	5.799093	TRUE	10.57626	"excellent"	8.806258	1.098612	8	2.804244	"male"	TRUE	FALSE
0	4.564348	FALSE	5.98202	5.799093	TRUE	10.57626	"excellent"	8.806258	1.098612	8	3.804244	"male"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.868114	1.098612	15	1.568789	"male"	TRUE	FALSE
12	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.868114	1.098612	15	2.568789	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.868114	1.098612	15	3.568789	"male"	TRUE	FALSE
11	0	FALSE	6.152051	0	TRUE	10.57626	"excellent"	9.612268	1.386294	16	0.4469541	"male"	TRUE	FALSE
12	0	FALSE	6.152051	0	TRUE	10.57626	"excellent"	9.612268	1.386294	16	1.446954	"male"	TRUE	FALSE
5	0	FALSE	6.152051	0	TRUE	10.57626	"excellent"	9.612268	1.386294	16	2.446954	"male"	TRUE	FALSE
4	0	FALSE	6.152051	0	TRUE	10.57626	"excellent"	9.612268	1.386294	16	3.446954	"male"	TRUE	FALSE
28	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.124207	1.098612	12	0.3292266	"male"	TRUE	FALSE
11	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.124207	1.098612	12	1.329227	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.124207	1.098612	12	2.329226	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.124207	1.098612	12	3.329226	"male"	TRUE	FALSE
0	3.258096	FALSE	5.810392	7.196687	TRUE	10.57626	"excellent"	0	2.197225	6	0.8083504	"male"	TRUE	TRUE
1	3.258096	FALSE	5.810392	7.196687	TRUE	10.57626	"excellent"	0	2.197225	6	1.80835	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	TRUE	10.57626	"excellent"	0	2.197225	6	2.808351	"male"	TRUE	TRUE
0	3.258096	FALSE	5.810392	7.196687	TRUE	10.57626	"excellent"	0	2.197225	6	3.808351	"male"	TRUE	TRUE
5	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.21173	0.6931472	12	0.2498289	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.21173	0.6931472	12	1.249829	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.21173	0.6931472	12	2.249829	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.21173	0.6931472	12	3.249829	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.531702	1.098612	10.96978	1.253936	"female"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.531702	1.098612	10.96978	2.253936	"female"	TRUE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.531702	1.386294	10.96978	3.253936	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	10.57626	"excellent"	8.049173	1.609438	10	0.2799453	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	10.57626	"excellent"	8.049173	1.609438	10	1.279945	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	10.57626	"excellent"	8.049173	1.609438	10	2.279945	"female"	TRUE	TRUE
2	4.564348	TRUE	0	6.160541	TRUE	10.57626	"excellent"	8.049173	1.94591	10	3.279945	"female"	TRUE	TRUE
15	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.166429	1.386294	12	1.399042	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.166429	1.386294	12	2.399042	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.166429	1.386294	12	3.399042	"male"	TRUE	FALSE
8	0	FALSE	6.819711	0	FALSE	10.57626	"excellent"	9.122181	1.098612	16	1.180014	"male"	TRUE	FALSE
11	0	FALSE	6.819711	0	FALSE	10.57626	"excellent"	9.122181	1.386294	16	2.180014	"male"	TRUE	FALSE
9	0	FALSE	6.819711	0	FALSE	10.57626	"excellent"	9.122181	1.386294	16	3.180014	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.080501	2.302585	14	2.009583	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.080501	2.484907	14	3.009583	"male"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.080501	2.484907	14	4.009583	"male"	TRUE	TRUE
0	4.564348	FALSE	5.753049	5.804342	FALSE	13.8	"excellent"	8.548937	1.386294	12	21.90007	"male"	FALSE	TRUE
0	4.564348	FALSE	5.753049	5.804342	FALSE	13.8	"excellent"	8.548937	1.386294	12	22.90007	"male"	FALSE	TRUE
0	4.564348	FALSE	5.753049	5.804342	FALSE	13.8	"excellent"	8.548937	1.609438	12	23.90007	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.647151	1.791759	12	4.873374	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.647151	1.791759	12	5.873374	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	6.647151	1.791759	12	6.873374	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	6.647151	1.791759	12	5.79603	"female"	TRUE	TRUE
6	0	FALSE	0	0	TRUE	10.57626	"excellent"	6.647151	1.791759	12	6.79603	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	6.647151	1.791759	12	7.79603	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.080501	2.302585	14	0.9445585	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.080501	2.484907	14	1.944559	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.080501	2.484907	14	2.944559	"male"	TRUE	TRUE
6	4.564348	TRUE	5.928099	5.755076	FALSE	10.3	"excellent"	8.200166	0.6931472	9	19.70705	"female"	FALSE	TRUE
0	4.564348	TRUE	5.928099	5.755076	FALSE	10.3	"excellent"	8.200166	0.6931472	9	20.70705	"female"	FALSE	TRUE
3	4.564348	TRUE	5.928099	5.755076	FALSE	10.3	"excellent"	8.200166	0.6931472	9	21.70705	"female"	FALSE	TRUE
1	0	FALSE	6.532596	0	FALSE	10.57626	"excellent"	8.618855	0.6931472	10.96978	1.979466	"female"	TRUE	TRUE
2	0	FALSE	6.532596	0	FALSE	10.57626	"excellent"	8.618855	0.6931472	10.96978	2.979466	"female"	TRUE	TRUE
1	0	FALSE	6.532596	0	FALSE	10.57626	"excellent"	8.618855	0.6931472	10.96978	3.979466	"female"	TRUE	TRUE
2	0	FALSE	6.532596	0	FALSE	17.2	"excellent"	8.618855	0.6931472	10.96978	33.75222	"female"	FALSE	TRUE
10	0	FALSE	6.532596	0	FALSE	17.2	"excellent"	8.618855	0.6931472	10.96978	34.75222	"female"	FALSE	TRUE
7	0	FALSE	6.532596	0	FALSE	17.2	"excellent"	8.618855	0.6931472	10.96978	35.75222	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	6.402491	1.791759	12	0.9568788	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	6.402491	1.791759	12	1.956879	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	6.402491	1.791759	12	2.956879	"female"	TRUE	TRUE
0	4.564348	FALSE	5.783825	5.835118	FALSE	10.57626	"excellent"	8.148072	1.386294	14	2.206708	"male"	TRUE	TRUE
2	4.564348	FALSE	5.783825	5.835118	FALSE	10.57626	"excellent"	8.148072	1.386294	14	3.206708	"male"	TRUE	TRUE
0	4.564348	FALSE	5.783825	5.835118	FALSE	10.57626	"excellent"	8.148072	1.609438	14	4.206708	"male"	TRUE	TRUE
4	4.564348	TRUE	6.761573	6.160541	FALSE	10.57626	"excellent"	9.787487	1.609438	12	0.6926762	"male"	TRUE	FALSE
1	4.564348	TRUE	6.761573	6.160541	FALSE	10.57626	"excellent"	9.787487	1.609438	12	1.692676	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.933147	1.791759	8	0.9774128	"male"	TRUE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.933147	1.791759	8	1.977413	"male"	TRUE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.933147	1.791759	8	2.977413	"male"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"excellent"	8.661416	1.609438	12	0.6570842	"female"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"excellent"	8.661416	1.609438	12	1.657084	"female"	TRUE	TRUE
0	3.258096	FALSE	6.471356	5.771441	FALSE	10.57626	"excellent"	8.661416	1.609438	12	2.657084	"female"	TRUE	TRUE
8	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.238429	1.098612	12	0.5626283	"male"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.238429	1.098612	12	1.562628	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.238429	1.098612	12	2.562628	"male"	TRUE	FALSE
10	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.185681	1.386294	14	0.3052704	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.185681	1.386294	14	1.30527	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.185681	1.386294	14	2.30527	"male"	TRUE	FALSE
0	3.258096	FALSE	0	6.635421	TRUE	10.57626	"excellent"	7.303772	0.6931472	6	5.91102	"female"	TRUE	TRUE
0	3.258096	FALSE	0	6.635421	TRUE	10.57626	"excellent"	7.303772	0.6931472	6	6.91102	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.3	"excellent"	8.279862	1.386294	13	15.3128	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.279862	1.609438	13	16.3128	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.3	"excellent"	8.279862	1.791759	13	17.3128	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.393395	1.386294	11	0.2080767	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.393395	1.386294	11	1.208077	"female"	TRUE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.393395	1.386294	11	2.208077	"female"	TRUE	FALSE
4	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.623931	1.386294	13	0.2847365	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.623931	1.386294	13	1.284737	"female"	TRUE	FALSE
4	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.623931	1.386294	13	2.284736	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.340818	1.386294	12	1.185489	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.340818	1.386294	12	2.185489	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.340818	1.386294	12	3.185489	"male"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.752597	1.386294	11	0.1382615	"male"	TRUE	TRUE
9	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.752597	1.098612	11	1.138261	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.752597	1.098612	11	2.138262	"male"	TRUE	TRUE
0	0	FALSE	4.510859	0	TRUE	10.57626	"excellent"	8.806258	1.386294	12	0.2190281	"male"	TRUE	FALSE
0	0	FALSE	4.510859	0	TRUE	10.57626	"excellent"	8.806258	1.386294	12	1.219028	"male"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	0	"excellent"	8.806258	1.386294	6	59.06092	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	0	"excellent"	8.806258	1.386294	6	60.06092	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	0	"excellent"	8.806258	1.386294	6	61.06092	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.824209	2.079442	12	0.2765229	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.824209	2.079442	12	1.276523	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.824209	2.079442	12	2.276523	"female"	TRUE	TRUE
4	0	FALSE	2.890372	0	FALSE	10.57626	"excellent"	8.806258	1.386294	14	0.2628337	"male"	TRUE	TRUE
3	0	FALSE	2.890372	0	FALSE	10.57626	"excellent"	8.806258	1.386294	14	1.262834	"male"	TRUE	TRUE
3	0	FALSE	2.890372	0	FALSE	10.57626	"excellent"	8.806258	1.386294	14	2.262834	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	7.079073	2.197225	8	0.238193	"female"	TRUE	TRUE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.279862	1.609438	13	0.9863107	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.279862	1.791759	13	1.986311	"male"	TRUE	TRUE
0	0	FALSE	7.080969	0	FALSE	0	"excellent"	9.048872	1.609438	9	24.52019	"male"	FALSE	FALSE
0	0	FALSE	7.080969	0	FALSE	0	"excellent"	9.048872	1.609438	9	25.52019	"male"	FALSE	FALSE
0	0	FALSE	7.080969	0	FALSE	0	"excellent"	9.048872	1.609438	9	26.52019	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	0	1.386294	11	0.7905544	"male"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	0	1.386294	11	1.790554	"male"	TRUE	TRUE
14	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.209518	1.098612	12	0.0328542	"male"	TRUE	FALSE
8	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.209518	1.098612	12	1.032854	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.209518	1.098612	12	2.032854	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.080501	2.484907	14	0.4414784	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.080501	2.484907	14	1.441478	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.080501	2.484907	14	0.4414784	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.080501	2.484907	14	1.441478	"male"	TRUE	TRUE
6	4.564348	FALSE	4.945919	4.997212	TRUE	10.57626	"excellent"	3.964906	1.791759	8	0.523614	"male"	TRUE	TRUE
1	4.564348	FALSE	4.945919	4.997212	TRUE	10.57626	"excellent"	3.964906	1.791759	8	1.523614	"male"	TRUE	TRUE
17	0	FALSE	6.030685	0	TRUE	10.57626	"excellent"	8.806258	1.609438	5	0.4387406	"male"	TRUE	FALSE
12	0	FALSE	6.030685	0	TRUE	10.57626	"excellent"	8.806258	1.791759	5	1.438741	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	9.196468	1.609438	16	0.4934976	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	9.196468	1.609438	16	1.493498	"female"	TRUE	FALSE
0	3.258096	FALSE	5.752573	7.138867	TRUE	10.57626	"excellent"	8.099511	0.6931472	9	0.2580424	"male"	TRUE	TRUE
0	3.258096	FALSE	5.752573	7.138867	TRUE	10.57626	"excellent"	8.099511	1.098612	9	1.258042	"male"	TRUE	TRUE
11	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.986234	1.386294	16	0.0499658	"male"	TRUE	FALSE
10	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.107988	1.94591	12	0.0308008	"male"	TRUE	FALSE
6	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.107988	1.94591	12	1.030801	"male"	TRUE	FALSE
13	0	FALSE	6.819711	0	TRUE	10.57626	"excellent"	9.122181	1.386294	16	0.0472279	"male"	TRUE	FALSE
8	0	FALSE	6.819711	0	TRUE	10.57626	"excellent"	9.122181	1.386294	16	1.047228	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.076469	1.386294	12	0.9185489	"female"	TRUE	TRUE
7	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.531702	1.386294	10.96978	0.9760438	"female"	TRUE	TRUE
3	0	FALSE	5.294309	0	TRUE	10.57626	"excellent"	8.691714	1.386294	12	0.9267625	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.327032	1.386294	11	0.321013	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.327032	1.386294	11	1.321013	"male"	TRUE	TRUE
0	4.564348	FALSE	7.06732	6.675624	TRUE	10.57626	"excellent"	9.384057	1.609438	12	0.2402464	"male"	TRUE	FALSE
0	4.564348	FALSE	7.06732	6.675624	TRUE	10.57626	"excellent"	9.384057	1.609438	12	1.240246	"male"	TRUE	FALSE
2	4.564348	TRUE	0	6.160541	TRUE	10.57626	"excellent"	8.049173	1.94591	10	0.971937	"male"	TRUE	TRUE
0	4.564348	FALSE	5.783825	5.835118	TRUE	10.57626	"excellent"	8.148072	1.609438	14	0.8199863	"male"	TRUE	TRUE
6	3.258096	FALSE	6.357409	7.743703	TRUE	10.57626	"excellent"	9.064041	1.098612	12	0.9869952	"female"	TRUE	FALSE
0	4.564348	FALSE	6.160574	6.211867	TRUE	10.57626	"excellent"	8.853882	1.386294	14	0.0965092	"male"	TRUE	TRUE
1	4.564348	FALSE	6.160574	6.211867	TRUE	10.57626	"excellent"	8.853882	1.386294	14	1.096509	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	10.57626	"excellent"	7.793149	1.386294	8	0.5626283	"female"	TRUE	TRUE
5	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.806258	1.386294	9	0.8227242	"female"	TRUE	TRUE
6	4.564348	FALSE	5.753049	5.804342	TRUE	10.57626	"excellent"	8.548937	1.609438	10	0.6584531	"female"	TRUE	TRUE
5	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.297204	0.6931472	9	0.6830938	"female"	TRUE	TRUE
6	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.263696	1.94591	7	0.3080082	"female"	TRUE	TRUE
18	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.30243	1.609438	10.96978	0.3258042	"male"	TRUE	FALSE
5	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.279862	1.791759	13	0.2231348	"female"	TRUE	TRUE
8	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.600891	1.791759	11	0.3874059	"male"	TRUE	TRUE
11	0	FALSE	6.206979	0	TRUE	10.57626	"excellent"	8.806258	1.386294	12	0.3189596	"female"	TRUE	FALSE
5	0	FALSE	5.702181	0	TRUE	10.57626	"excellent"	9.434479	1.386294	12	0.2902122	"female"	TRUE	FALSE
6	4.564348	TRUE	0	6.160541	TRUE	10.57626	"excellent"	8.049173	1.94591	10	0.3285421	"female"	TRUE	TRUE
0	4.564348	FALSE	6.649632	6.700925	TRUE	10.57626	"excellent"	8.806258	1.098612	12	0.7679672	"female"	TRUE	TRUE
11	0	FALSE	6.030685	0	TRUE	10.57626	"excellent"	8.806258	1.791759	5	0.1300479	"male"	TRUE	FALSE
10	4.564348	TRUE	5.703783	5.755076	TRUE	10.57626	"excellent"	9.23162	1.098612	17	0	"female"	TRUE	FALSE
0	3.258096	FALSE	5.752573	7.138867	TRUE	10.57626	"excellent"	8.099511	1.098612	9	0.2422998	"male"	TRUE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	10.3	"excellent"	8.367924	0.6931472	11	46.2204	"male"	FALSE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	10.3	"excellent"	8.367924	0.6931472	11	47.2204	"male"	FALSE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	10.3	"excellent"	8.367924	0.6931472	11	48.2204	"male"	FALSE	TRUE
0	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"excellent"	8.367924	0.6931472	10	45.21834	"female"	FALSE	TRUE
2	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"excellent"	8.367924	0.6931472	10	46.21834	"female"	FALSE	TRUE
2	4.564348	FALSE	5.991465	6.042758	FALSE	6.9	"excellent"	8.367924	0.6931472	10	47.21834	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"fair"	9.278949	0.6931472	12	52.13963	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"fair"	9.278949	0.6931472	12	53.13963	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"fair"	9.278949	0.6931472	12	54.13963	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.278949	0.6931472	8	55.29637	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.278949	0.6931472	8	56.29637	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.278949	0.6931472	8	57.29637	"male"	FALSE	FALSE
2	3.258096	FALSE	6.311226	6.966024	FALSE	10.57626	"excellent"	8.046178	0.6931472	12	9.801506	"male"	TRUE	TRUE
3	3.258096	FALSE	6.311226	6.966024	FALSE	10.57626	"excellent"	8.046178	0.6931472	12	10.80151	"male"	TRUE	TRUE
0	3.258096	FALSE	6.311226	6.966024	FALSE	10.57626	"excellent"	8.046178	0.6931472	12	11.80151	"male"	TRUE	TRUE
4	3.258096	FALSE	6.311226	6.966024	FALSE	6.9	"excellent"	8.046178	0.6931472	12	31.46612	"female"	FALSE	TRUE
5	3.258096	FALSE	6.311226	6.966024	FALSE	6.9	"excellent"	8.046178	0.6931472	12	32.46612	"female"	FALSE	TRUE
1	3.258096	FALSE	6.311226	6.966024	FALSE	6.9	"excellent"	8.046178	0.6931472	12	33.46612	"female"	FALSE	TRUE
1	0	FALSE	5.634933	0	FALSE	10.57626	"good"	9.266045	1.386294	12	13.25394	"male"	TRUE	FALSE
0	0	FALSE	5.634933	0	FALSE	10.57626	"good"	9.266045	1.386294	12	14.25394	"male"	TRUE	FALSE
2	0	FALSE	5.634933	0	FALSE	10.57626	"good"	9.266045	1.386294	12	15.25394	"male"	TRUE	FALSE
3	0	FALSE	5.634933	0	FALSE	10.57626	"good"	9.266045	1.386294	12	16.25393	"male"	TRUE	FALSE
1	0	FALSE	5.634933	0	FALSE	10.57626	"good"	9.266045	1.386294	12	17.25393	"male"	TRUE	FALSE
0	0	FALSE	5.634933	0	FALSE	0	"excellent"	9.266045	1.386294	10	39.48802	"male"	FALSE	FALSE
0	0	FALSE	5.634933	0	FALSE	0	"excellent"	9.266045	1.386294	10	40.48802	"male"	FALSE	FALSE
2	0	FALSE	5.634933	0	FALSE	0	"excellent"	9.266045	1.386294	10	41.48802	"male"	FALSE	FALSE
5	0	FALSE	5.634933	0	FALSE	0	"excellent"	9.266045	1.386294	10	42.48802	"male"	FALSE	FALSE
1	0	FALSE	5.634933	0	FALSE	0	"excellent"	9.266045	1.386294	10	43.48802	"male"	FALSE	FALSE
18	0	FALSE	5.634933	0	FALSE	17.2	"poor"	9.266045	1.386294	12	41.38261	"female"	FALSE	FALSE
4	0	FALSE	5.634933	0	FALSE	17.2	"poor"	9.266045	1.386294	12	42.38261	"female"	FALSE	FALSE
9	0	FALSE	5.634933	0	FALSE	17.2	"poor"	9.266045	1.386294	12	43.38261	"female"	FALSE	FALSE
4	0	FALSE	5.634933	0	FALSE	17.2	"poor"	9.266045	1.386294	12	44.38261	"female"	FALSE	FALSE
3	0	FALSE	5.634933	0	FALSE	17.2	"poor"	9.266045	1.386294	12	45.38261	"female"	FALSE	FALSE
1	0	FALSE	5.634933	0	FALSE	6.9	"good"	9.266045	1.386294	12	16.39973	"male"	TRUE	FALSE
9	0	FALSE	5.634933	0	FALSE	6.9	"good"	9.266045	1.386294	12	17.39973	"male"	TRUE	FALSE
1	0	FALSE	5.634933	0	FALSE	6.9	"good"	9.266045	1.386294	12	18.39973	"male"	FALSE	FALSE
0	0	FALSE	5.634933	0	FALSE	6.9	"good"	9.266045	1.386294	12	19.39973	"male"	FALSE	FALSE
0	0	FALSE	5.634933	0	FALSE	6.9	"good"	9.266045	1.386294	12	20.39973	"male"	FALSE	FALSE
2	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.386294	11	18.97604	"female"	FALSE	FALSE
5	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.386294	11	19.97604	"female"	FALSE	FALSE
3	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.386294	11	20.97604	"female"	FALSE	FALSE
2	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.609438	11	21.97604	"female"	FALSE	FALSE
2	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.609438	11	22.97604	"female"	FALSE	FALSE
2	0	FALSE	6.264845	0	TRUE	0	"excellent"	8.970243	1.386294	12	40.32033	"male"	FALSE	FALSE
1	0	FALSE	6.264845	0	TRUE	0	"excellent"	8.970243	1.386294	12	41.32033	"male"	FALSE	FALSE
1	0	FALSE	6.264845	0	TRUE	0	"excellent"	8.970243	1.386294	12	42.32033	"male"	FALSE	FALSE
1	0	FALSE	6.264845	0	TRUE	0	"excellent"	8.970243	1.609438	12	43.32033	"male"	FALSE	FALSE
1	0	FALSE	6.264845	0	TRUE	0	"excellent"	8.970243	1.609438	12	44.32033	"male"	FALSE	FALSE
3	0	FALSE	6.264845	0	FALSE	3.4	"excellent"	8.970243	1.386294	12	16.12868	"female"	TRUE	FALSE
3	0	FALSE	6.264845	0	FALSE	3.4	"excellent"	8.970243	1.386294	12	17.12868	"female"	TRUE	FALSE
1	0	FALSE	6.264845	0	FALSE	3.4	"excellent"	8.970243	1.386294	12	18.12868	"female"	FALSE	FALSE
3	0	FALSE	6.264845	0	FALSE	3.4	"excellent"	8.970243	1.609438	12	19.12868	"female"	FALSE	FALSE
3	0	FALSE	6.264845	0	FALSE	3.4	"excellent"	8.970243	1.609438	12	20.12868	"female"	FALSE	FALSE
2	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.386294	12	37.28679	"female"	FALSE	FALSE
1	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.386294	12	38.28679	"female"	FALSE	FALSE
4	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.386294	12	39.28679	"female"	FALSE	FALSE
3	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.609438	12	40.28679	"female"	FALSE	FALSE
2	0	FALSE	6.264845	0	FALSE	10.3	"excellent"	8.970243	1.609438	12	41.28679	"female"	FALSE	FALSE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	50.4011	"female"	FALSE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	51.4011	"female"	FALSE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.302585	7	52.4011	"female"	FALSE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	16.56126	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	17.56126	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	11.93977	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	12.93977	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.302585	7	13.93977	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	15.44969	"female"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	16.44969	"female"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.302585	7	17.44969	"female"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	18.24504	"female"	FALSE	TRUE
1	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.197225	7	19.24504	"female"	FALSE	TRUE
1	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"good"	8.132095	2.302585	7	20.24504	"female"	FALSE	TRUE
3	4.564348	FALSE	6.939874	6.602374	FALSE	17.2	"good"	9.948857	0.6931472	9	43.40315	"female"	FALSE	FALSE
0	4.564348	FALSE	6.939874	6.602374	TRUE	10.3	"good"	9.948857	0.6931472	4	47.86584	"male"	FALSE	FALSE
2	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"fair"	8.290334	1.386294	11	33.82067	"female"	FALSE	TRUE
1	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"fair"	8.290334	1.609438	11	34.82067	"female"	FALSE	TRUE
1	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"fair"	8.290334	1.791759	11	35.82067	"female"	FALSE	TRUE
9	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"fair"	8.290334	1.791759	11	36.82067	"female"	FALSE	TRUE
3	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"fair"	8.290334	1.791759	11	37.82067	"female"	FALSE	TRUE
2	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"good"	8.290334	1.386294	11	17.84257	"female"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"good"	8.290334	1.609438	11	18.84257	"female"	FALSE	TRUE
2	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"good"	8.290334	1.791759	11	19.84257	"female"	FALSE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"good"	8.290334	1.791759	11	20.84257	"female"	FALSE	TRUE
3	4.564348	FALSE	6.015181	5.734873	TRUE	3.4	"good"	8.290334	1.791759	11	21.84257	"female"	FALSE	TRUE
7	4.564348	FALSE	6.015181	5.734873	TRUE	13.8	"good"	8.290334	1.386294	9	47.89049	"male"	FALSE	TRUE
13	4.564348	FALSE	6.015181	5.734873	TRUE	13.8	"good"	8.290334	1.609438	9	48.89049	"male"	FALSE	TRUE
7	4.564348	FALSE	6.015181	5.734873	TRUE	13.8	"good"	8.290334	1.791759	9	49.89049	"male"	FALSE	TRUE
17	4.564348	FALSE	6.015181	5.734873	TRUE	13.8	"good"	8.290334	1.791759	9	50.89049	"male"	FALSE	TRUE
10	4.564348	FALSE	6.015181	5.734873	TRUE	13.8	"good"	8.290334	1.791759	9	51.89049	"male"	FALSE	TRUE
1	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"good"	8.290334	1.386294	11	13.02669	"male"	TRUE	TRUE
1	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"good"	8.290334	1.609438	11	14.02669	"male"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"good"	8.290334	1.791759	11	15.02669	"male"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"good"	8.290334	1.791759	11	16.02669	"male"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"good"	8.290334	1.791759	11	17.02669	"male"	TRUE	TRUE
2	3.258096	FALSE	0	6.907755	TRUE	17.2	"good"	6.932512	0	9	53.83984	"female"	FALSE	TRUE
1	3.258096	FALSE	0	6.907755	TRUE	17.2	"good"	6.932512	0	9	54.83984	"female"	FALSE	TRUE
1	3.258096	FALSE	0	6.907755	TRUE	17.2	"good"	6.932512	0	9	55.83984	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	31	"good"	9.087646	1.098612	12	39.54004	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	31	"good"	9.087646	1.098612	12	40.54004	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	31	"good"	9.087646	1.098612	12	41.54004	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.087646	1.098612	10.62774	18.05339	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"good"	9.087646	1.098612	10.62774	19.05339	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.3	"good"	9.087646	1.098612	10.62774	20.05339	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	20.7	"good"	9.087646	1.098612	12	43.37029	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	20.7	"good"	9.087646	1.098612	12	44.37029	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	20.7	"good"	9.087646	1.098612	12	45.37029	"male"	FALSE	FALSE
2	4.564348	FALSE	6.232605	6.2643	TRUE	13.8	"good"	8.16956	0.6931472	9	21.40452	"female"	FALSE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	13.8	"good"	8.16956	0.6931472	9	22.40452	"female"	FALSE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	13.8	"good"	8.16956	0.6931472	9	23.40452	"female"	FALSE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	13.8	"good"	8.16956	0.6931472	9	24.40452	"female"	FALSE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	13.8	"good"	8.16956	0.6931472	9	25.40452	"female"	FALSE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	10.3	"good"	8.16956	0.6931472	12	27.2334	"male"	FALSE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	10.3	"good"	8.16956	0.6931472	12	28.2334	"male"	FALSE	TRUE
0	0	FALSE	5.903944	0	FALSE	10.3	"good"	8.266531	0.6931472	12	29.86174	"female"	FALSE	FALSE
1	0	FALSE	5.903944	0	FALSE	10.3	"good"	8.266531	0.6931472	12	30.86174	"female"	FALSE	FALSE
2	0	FALSE	5.903944	0	FALSE	10.3	"good"	8.266531	0.6931472	12	31.86174	"female"	FALSE	FALSE
0	0	FALSE	5.903944	0	FALSE	10.57626	"fair"	8.266531	0.6931472	12	9.32512	"male"	TRUE	FALSE
2	0	FALSE	5.903944	0	FALSE	10.57626	"fair"	8.266531	0.6931472	12	10.32512	"male"	TRUE	FALSE
2	0	FALSE	5.903944	0	FALSE	10.57626	"fair"	8.266531	0.6931472	12	11.32512	"male"	TRUE	FALSE
1	0	FALSE	4.094345	0	TRUE	6.9	"good"	9.337023	0.6931472	15	23.33196	"female"	FALSE	FALSE
3	0	FALSE	4.094345	0	TRUE	6.9	"good"	9.337023	1.098612	15	24.33196	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	TRUE	6.9	"good"	9.337023	1.098612	15	25.33196	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	TRUE	6.9	"good"	9.337023	1.098612	15	26.33196	"female"	FALSE	FALSE
2	0	FALSE	4.094345	0	TRUE	6.9	"good"	9.337023	1.098612	15	27.33196	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	FALSE	10.3	"good"	9.337023	0.6931472	16	24.81862	"male"	FALSE	FALSE
14	0	FALSE	4.094345	0	FALSE	10.3	"good"	9.337023	1.098612	16	25.81862	"male"	FALSE	FALSE
13	0	FALSE	4.094345	0	FALSE	10.3	"good"	9.337023	1.098612	16	26.81862	"male"	FALSE	FALSE
7	0	FALSE	4.094345	0	FALSE	10.3	"good"	9.337023	1.098612	16	27.81862	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	10.3	"good"	9.337023	1.098612	16	28.81862	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	8.911706	0.6931472	17	28.91718	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	8.911706	0.6931472	17	29.91718	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	8.911706	0.6931472	17	30.91718	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.911706	0.6931472	12	27.46338	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.911706	0.6931472	12	28.46338	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	13.8	"good"	8.911706	0.6931472	12	29.46338	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.735677	1.386294	12	29.51951	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.735677	1.386294	12	30.51951	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	8.735677	1.386294	12	31.51951	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	8.735677	1.386294	12	32.51951	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	8.735677	1.386294	12	33.51951	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	6.55989	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	7.55989	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	8.559891	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	9.559891	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	10.55989	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.735677	1.386294	12	28.79398	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.735677	1.386294	12	29.79398	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"excellent"	8.735677	1.386294	12	30.79398	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.735677	1.386294	12	31.79398	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.735677	1.386294	12	32.79398	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.21865	1.098612	10	20.76386	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.21865	1.098612	10	21.76386	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.21865	1.098612	10	22.76386	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"fair"	9.21865	1.098612	10	61.84531	"male"	FALSE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"fair"	9.21865	1.098612	10	62.84531	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	20.7	"fair"	9.21865	1.098612	10	63.84531	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.21865	1.098612	11	61.49487	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.21865	1.098612	11	62.49487	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.21865	1.098612	11	63.49487	"female"	FALSE	FALSE
2	0	FALSE	5.039806	0	FALSE	0	"fair"	0	0	12	25.34155	"male"	FALSE	FALSE
3	0	FALSE	5.039806	0	FALSE	0	"fair"	0	0	12	26.34155	"male"	FALSE	FALSE
0	0	FALSE	5.039806	0	FALSE	0	"fair"	0	0	12	27.34155	"male"	FALSE	FALSE
4	0	FALSE	5.039806	0	FALSE	10.3	"fair"	6.920451	0	13	25.34155	"male"	FALSE	FALSE
1	0	FALSE	5.039806	0	FALSE	10.3	"fair"	6.920451	0	13	26.34155	"male"	FALSE	FALSE
3	0	FALSE	5.039806	0	FALSE	10.3	"fair"	6.920451	0	13	27.34155	"male"	FALSE	FALSE
0	0	FALSE	5.259992	0	FALSE	13.8	"good"	8.541868	0.6931472	8	57.1499	"male"	FALSE	TRUE
2	0	FALSE	5.259992	0	FALSE	13.8	"good"	8.541868	0.6931472	8	58.1499	"male"	FALSE	TRUE
1	0	FALSE	5.259992	0	FALSE	13.8	"good"	8.541868	1.098612	8	59.1499	"male"	FALSE	TRUE
6	0	FALSE	5.259992	0	FALSE	17.2	"fair"	8.541868	0.6931472	12	37.53867	"female"	FALSE	TRUE
10	0	FALSE	5.259992	0	FALSE	17.2	"fair"	8.541868	0.6931472	12	38.53867	"female"	FALSE	TRUE
3	0	FALSE	5.259992	0	FALSE	17.2	"fair"	8.541868	1.098612	12	39.53867	"female"	FALSE	TRUE
2	4.564348	FALSE	5.752731	5.804342	TRUE	6.9	"fair"	0	0	6	41.87269	"female"	FALSE	TRUE
1	4.564348	FALSE	5.752731	5.804342	TRUE	6.9	"fair"	0	0	6	42.87269	"female"	FALSE	TRUE
3	4.564348	FALSE	5.752731	5.804342	TRUE	6.9	"fair"	0	0	6	43.87269	"female"	FALSE	TRUE
4	4.564348	FALSE	5.752731	5.804342	TRUE	6.9	"fair"	0	0	6	44.87269	"female"	FALSE	TRUE
4	4.564348	FALSE	5.752731	5.804342	TRUE	6.9	"fair"	0	0	6	45.87269	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.815269	0	12	30.06434	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.815269	0	12	31.06434	"male"	FALSE	TRUE
1	4.564348	TRUE	5.010635	5.061929	FALSE	3.4	"good"	8.815269	0	12	32.06434	"male"	FALSE	TRUE
7	3.258096	FALSE	5.762052	7.148346	TRUE	24.1	"fair"	7.413021	0.6931472	2	61.48118	"female"	FALSE	TRUE
19	3.258096	FALSE	5.762052	7.148346	TRUE	24.1	"fair"	7.413021	0.6931472	2	62.48118	"female"	FALSE	TRUE
6	3.258096	FALSE	5.762052	7.148346	TRUE	24.1	"fair"	7.413021	0.6931472	2	63.48118	"female"	FALSE	TRUE
0	3.258096	FALSE	0	5.991465	FALSE	3.4	"excellent"	8.815269	0.6931472	10.5	18.987	"female"	FALSE	TRUE
0	3.258096	FALSE	0	5.991465	FALSE	3.4	"excellent"	8.815269	0.6931472	10.5	19.987	"female"	FALSE	TRUE
3	3.258096	FALSE	0	5.991465	FALSE	3.4	"excellent"	8.815269	0.6931472	10.5	20.987	"female"	FALSE	TRUE
1	3.258096	FALSE	5.762052	7.148346	FALSE	10.57626	"excellent"	7.413021	0.6931472	2	13.69199	"male"	TRUE	TRUE
2	3.258096	FALSE	5.762052	7.148346	FALSE	10.57626	"excellent"	7.413021	0.6931472	2	14.69199	"male"	TRUE	TRUE
3	3.258096	FALSE	5.762052	7.148346	FALSE	10.57626	"excellent"	7.413021	0.6931472	2	15.69199	"male"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	34.5	"fair"	7.592866	0.6931472	12	51.36482	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	34.5	"fair"	7.592866	0.6931472	12	52.36482	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	34.5	"fair"	7.592866	0.6931472	12	53.36482	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	34.5	"fair"	7.592866	0.6931472	12	54.36482	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	34.5	"fair"	7.592866	0.6931472	12	55.36482	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	7.592866	0.6931472	8	55.26625	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	7.592866	0.6931472	8	56.26625	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	7.592866	0.6931472	8	57.26625	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	7.592866	0.6931472	8	58.26625	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.3	"good"	7.592866	0.6931472	8	59.26625	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.609438	17	36.38604	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.609438	17	37.38604	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.609438	17	38.38604	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.815269	1.609438	16	37.39357	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.815269	1.609438	16	38.39357	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.815269	1.609438	16	39.39357	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.609438	17	9.932922	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.609438	17	10.93292	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.609438	17	11.93292	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.609438	17	14.20397	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.609438	17	15.20397	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.609438	17	16.20397	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.815269	1.609438	17	7.824778	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.815269	1.609438	17	8.824778	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.815269	1.609438	17	9.824778	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.507157	1.098612	16	38.62286	"male"	FALSE	TRUE
6	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.507157	1.098612	16	39.62286	"male"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.507157	1.098612	16	40.62286	"male"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.507157	1.098612	18	37.86995	"female"	FALSE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.507157	1.098612	18	38.86995	"female"	FALSE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	9.507157	1.098612	18	39.86995	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.507157	1.098612	18	11.46064	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.507157	1.098612	18	12.46064	"male"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.507157	1.098612	18	13.46064	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.990197	1.609438	12	35.23888	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.990197	1.609438	12	36.23888	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.990197	1.609438	12	37.23888	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.990197	1.609438	12	14.35181	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.990197	1.609438	12	15.35181	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	8.990197	1.609438	12	16.35181	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.990197	1.609438	12	8.966461	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.990197	1.609438	12	9.966461	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.990197	1.609438	12	10.96646	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.990197	1.609438	12	35.68789	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.990197	1.609438	12	36.68789	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.990197	1.609438	12	37.68789	"male"	FALSE	FALSE
5	4.564348	TRUE	5.342525	5.061929	TRUE	34.5	"fair"	9.268617	0	11	58.29979	"female"	FALSE	FALSE
6	4.564348	TRUE	5.342525	5.061929	TRUE	34.5	"fair"	9.268617	0	11	59.29979	"female"	FALSE	FALSE
5	4.564348	TRUE	5.342525	5.061929	TRUE	34.5	"fair"	9.268617	0	11	60.29979	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.366614	1.098612	7	25.38261	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.366614	1.098612	7	26.38261	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"good"	8.366614	1.098612	7	27.38261	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.366614	1.098612	8	22.20397	"female"	FALSE	FALSE
3	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.366614	1.098612	8	23.20397	"female"	FALSE	FALSE
2	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.366614	1.098612	8	24.20397	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	TRUE	10.57626	"good"	8.366614	1.098612	8	6.491444	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	TRUE	10.57626	"good"	8.366614	1.098612	8	7.491444	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	TRUE	10.57626	"good"	8.366614	1.098612	8	8.491445	"male"	TRUE	FALSE
1	3.258096	FALSE	6.54002	7.926314	FALSE	20.7	"good"	8.900601	1.098612	6	27.64956	"female"	FALSE	FALSE
4	3.258096	FALSE	6.54002	7.926314	FALSE	20.7	"good"	8.900601	1.098612	6	28.64956	"female"	FALSE	FALSE
1	3.258096	FALSE	6.54002	7.926314	FALSE	20.7	"good"	8.900601	1.098612	6	29.64956	"female"	FALSE	FALSE
0	3.258096	FALSE	6.54002	7.926314	FALSE	10.57626	"excellent"	8.900601	1.098612	6	8.29295	"female"	TRUE	FALSE
0	3.258096	FALSE	6.54002	7.926314	FALSE	10.57626	"excellent"	8.900601	1.098612	6	9.29295	"female"	TRUE	FALSE
0	3.258096	FALSE	6.54002	7.926314	FALSE	10.57626	"excellent"	8.900601	1.098612	6	10.29295	"female"	TRUE	FALSE
0	3.258096	FALSE	6.54002	7.926314	FALSE	10.3	"good"	8.900601	1.098612	6	44.35044	"male"	FALSE	FALSE
0	3.258096	FALSE	6.54002	7.926314	FALSE	10.3	"good"	8.900601	1.098612	6	45.35044	"male"	FALSE	FALSE
0	3.258096	FALSE	6.54002	7.926314	FALSE	10.3	"good"	8.900601	1.098612	6	46.35044	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.815269	1.386294	11	25.40452	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.815269	1.386294	11	26.40452	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	8.815269	1.386294	11	27.40452	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.815269	1.386294	11	3.214237	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.815269	1.386294	11	4.214237	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.815269	1.386294	11	5.214237	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"fair"	8.815269	1.386294	11	8.079397	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"fair"	8.815269	1.386294	11	9.079397	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"fair"	8.815269	1.386294	11	10.0794	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.815269	1.386294	11	4.939083	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.815269	1.386294	11	5.939083	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.815269	1.386294	11	6.939083	"male"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	FALSE	10.57626	"excellent"	5.67091	1.791759	12	4.815879	"female"	TRUE	TRUE
2	4.564348	FALSE	5.655992	4.646413	FALSE	10.57626	"excellent"	5.67091	1.791759	12	5.815879	"female"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	FALSE	10.57626	"excellent"	5.67091	1.791759	12	6.815879	"female"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	TRUE	10.57626	"excellent"	5.67091	1.791759	12	12.59138	"male"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	TRUE	10.57626	"excellent"	5.67091	1.791759	12	13.59138	"male"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	TRUE	10.57626	"excellent"	5.67091	1.791759	12	14.59138	"male"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	FALSE	0	"excellent"	5.67091	1.791759	9	19.85216	"male"	FALSE	TRUE
0	4.564348	FALSE	5.655992	4.646413	FALSE	0	"excellent"	5.67091	1.791759	9	20.85216	"male"	FALSE	TRUE
0	4.564348	FALSE	5.655992	4.646413	FALSE	0	"excellent"	5.67091	1.791759	9	21.85216	"male"	FALSE	TRUE
1	4.564348	FALSE	5.655992	4.646413	FALSE	34.5	"excellent"	5.67091	1.791759	12	22.71869	"female"	FALSE	TRUE
5	4.564348	FALSE	5.655992	4.646413	FALSE	34.5	"excellent"	5.67091	1.791759	12	23.71869	"female"	FALSE	TRUE
0	4.564348	FALSE	5.655992	4.646413	FALSE	34.5	"excellent"	5.67091	1.791759	12	24.71869	"female"	FALSE	TRUE
4	4.564348	FALSE	5.655992	4.646413	TRUE	27.6	"good"	5.67091	1.791759	12	45.08693	"female"	FALSE	TRUE
2	4.564348	FALSE	5.655992	4.646413	TRUE	27.6	"good"	5.67091	1.791759	12	46.08693	"female"	FALSE	TRUE
0	4.564348	FALSE	5.655992	4.646413	TRUE	27.6	"good"	5.67091	1.791759	12	47.08693	"female"	FALSE	TRUE
0	4.564348	FALSE	5.655992	4.646413	TRUE	10.57626	"excellent"	5.67091	1.791759	12	10.7269	"female"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	TRUE	10.57626	"excellent"	5.67091	1.791759	12	11.7269	"female"	TRUE	TRUE
0	4.564348	FALSE	5.655992	4.646413	TRUE	10.57626	"excellent"	5.67091	1.791759	12	12.7269	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	11.39767	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	12.39767	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	13.39767	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	14.39767	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.94591	11	15.39767	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	11	35.0527	"female"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	11	36.0527	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	11	37.0527	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	11	38.0527	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.94591	11	39.0527	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	9	34.51609	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	9	35.51609	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	9	36.51609	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.791759	9	37.51609	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.94591	9	38.51609	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	1.998631	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	2.998631	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	3.998631	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	4.998631	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.94591	11	5.998631	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	13.54962	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	14.54962	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	15.54962	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.791759	11	16.54962	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.94591	11	17.54962	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.791759	11	14.77071	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.791759	11	15.77071	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.791759	11	16.7707	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.791759	11	17.7707	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	8.815269	1.94591	11	18.7707	"male"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	TRUE	34.5	"poor"	7.951998	1.098612	6	51.80288	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	TRUE	34.5	"poor"	7.951998	1.098612	6	52.80288	"male"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	TRUE	34.5	"poor"	7.951998	1.098612	6	53.80288	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.951998	1.098612	8	18.74333	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.951998	1.098612	8	19.74333	"male"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.951998	1.098612	8	20.74333	"male"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	TRUE	6.9	"poor"	7.951998	1.098612	6	42.21766	"female"	FALSE	FALSE
2	4.564348	TRUE	0	6.160541	TRUE	6.9	"poor"	7.951998	1.098612	6	43.21766	"female"	FALSE	FALSE
1	4.564348	TRUE	0	6.160541	TRUE	6.9	"poor"	7.951998	1.098612	6	44.21766	"female"	FALSE	FALSE
5	4.564348	FALSE	6.460843	6.512136	FALSE	6.9	"good"	8.057431	0	13	22.32444	"female"	FALSE	FALSE
0	4.564348	FALSE	6.460843	6.512136	FALSE	6.9	"good"	8.057431	0	13	23.32444	"female"	FALSE	FALSE
0	4.564348	FALSE	6.460843	6.512136	FALSE	6.9	"good"	8.057431	0	13	24.32444	"female"	FALSE	FALSE
0	3.931826	FALSE	6.462249	7.155396	FALSE	3.4	"excellent"	6.935006	0	14	24.6078	"female"	FALSE	FALSE
1	3.931826	FALSE	6.462249	7.155396	FALSE	3.4	"excellent"	6.935006	0	14	25.6078	"female"	FALSE	FALSE
0	3.931826	FALSE	6.462249	7.155396	FALSE	3.4	"excellent"	6.935006	0	14	26.6078	"female"	FALSE	FALSE
40	0	FALSE	5.315371	0	FALSE	17.2	"good"	8.408727	0.6931472	11	51.93155	"female"	FALSE	FALSE
12	0	FALSE	5.315371	0	FALSE	17.2	"good"	8.408727	0.6931472	11	52.93155	"female"	FALSE	FALSE
9	0	FALSE	5.315371	0	FALSE	17.2	"good"	8.408727	0.6931472	11	53.93155	"female"	FALSE	FALSE
9	0	FALSE	5.315371	0	FALSE	17.2	"good"	8.408727	0.6931472	11	54.93155	"female"	FALSE	FALSE
3	0	FALSE	5.315371	0	FALSE	17.2	"good"	8.408727	0.6931472	11	55.93155	"female"	FALSE	FALSE
3	0	FALSE	5.315371	0	FALSE	6.9	"excellent"	8.408727	0.6931472	5	18.33539	"male"	FALSE	FALSE
0	0	FALSE	5.315371	0	FALSE	6.9	"excellent"	8.408727	0.6931472	5	19.33539	"male"	FALSE	FALSE
0	0	FALSE	5.315371	0	FALSE	6.9	"excellent"	8.408727	0.6931472	5	20.33539	"male"	FALSE	FALSE
3	0	FALSE	5.315371	0	FALSE	6.9	"excellent"	8.408727	0.6931472	5	21.33539	"male"	FALSE	FALSE
6	0	FALSE	5.315371	0	FALSE	6.9	"excellent"	8.408727	0.6931472	5	22.33539	"male"	FALSE	FALSE
3	0	FALSE	6.100677	0	FALSE	10.3	"good"	8.582103	1.791759	10	17.52225	"male"	TRUE	FALSE
2	0	FALSE	6.100677	0	FALSE	10.3	"good"	8.582103	1.791759	10	18.52225	"male"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	10.3	"good"	8.582103	1.791759	10	19.52225	"male"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	10.3	"good"	8.582103	1.791759	10	20.52225	"male"	FALSE	FALSE
0	0	FALSE	6.100677	0	FALSE	10.3	"good"	8.582103	1.791759	10	21.52225	"male"	FALSE	FALSE
2	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	8	19.23614	"male"	FALSE	FALSE
0	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	8	20.23614	"male"	FALSE	FALSE
0	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	8	21.23614	"male"	FALSE	FALSE
0	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	8	22.23614	"male"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	8	23.23614	"male"	FALSE	FALSE
0	0	FALSE	6.100677	0	FALSE	10.57626	"good"	8.582103	1.791759	10	13.00753	"female"	TRUE	FALSE
0	0	FALSE	6.100677	0	FALSE	10.57626	"good"	8.582103	1.791759	10	14.00753	"female"	TRUE	FALSE
1	0	FALSE	6.100677	0	FALSE	10.57626	"good"	8.582103	1.791759	10	15.00753	"female"	TRUE	FALSE
0	0	FALSE	6.100677	0	FALSE	10.57626	"good"	8.582103	1.791759	10	16.00753	"female"	TRUE	FALSE
2	0	FALSE	6.100677	0	FALSE	10.57626	"good"	8.582103	1.791759	10	17.00753	"female"	TRUE	FALSE
1	0	FALSE	6.100677	0	FALSE	17.2	"good"	8.582103	1.791759	10	40.23272	"female"	FALSE	FALSE
5	0	FALSE	6.100677	0	FALSE	17.2	"good"	8.582103	1.791759	10	41.23272	"female"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	17.2	"good"	8.582103	1.791759	10	42.23272	"female"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	17.2	"good"	8.582103	1.791759	10	43.23272	"female"	FALSE	FALSE
2	0	FALSE	6.100677	0	FALSE	17.2	"good"	8.582103	1.791759	10	44.23272	"female"	FALSE	FALSE
0	0	FALSE	6.100677	0	FALSE	20.7	"fair"	8.582103	1.791759	8	41.21834	"male"	FALSE	FALSE
5	0	FALSE	6.100677	0	FALSE	20.7	"fair"	8.582103	1.791759	8	42.21834	"male"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	20.7	"fair"	8.582103	1.791759	8	43.21834	"male"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	20.7	"fair"	8.582103	1.791759	8	44.21834	"male"	FALSE	FALSE
1	0	FALSE	6.100677	0	FALSE	20.7	"fair"	8.582103	1.791759	8	45.21834	"male"	FALSE	FALSE
2	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	10	15.97262	"female"	TRUE	FALSE
2	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	10	16.97262	"female"	TRUE	FALSE
5	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	10	17.97262	"female"	TRUE	FALSE
2	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	10	18.97262	"female"	FALSE	FALSE
4	0	FALSE	6.100677	0	FALSE	6.9	"good"	8.582103	1.791759	10	19.97262	"female"	FALSE	FALSE
2	3.258096	FALSE	6.507277	7.893572	FALSE	6.9	"fair"	9.074712	1.386294	10	29.94114	"male"	FALSE	FALSE
1	3.258096	FALSE	6.507277	7.893572	FALSE	6.9	"fair"	9.074712	1.386294	10	30.94114	"male"	FALSE	FALSE
0	3.258096	FALSE	6.507277	7.893572	FALSE	6.9	"fair"	9.074712	1.609438	10	31.94114	"male"	FALSE	FALSE
0	3.258096	FALSE	6.507277	7.893572	TRUE	10.57626	"good"	9.074712	1.386294	8	7.394935	"male"	TRUE	FALSE
2	3.258096	FALSE	6.507277	7.893572	TRUE	10.57626	"good"	9.074712	1.386294	8	8.394935	"male"	TRUE	FALSE
3	3.258096	FALSE	6.507277	7.893572	TRUE	10.57626	"good"	9.074712	1.609438	8	9.394935	"male"	TRUE	FALSE
1	3.258096	FALSE	6.507277	7.893572	TRUE	10.57626	"good"	9.074712	1.386294	8	9.886379	"female"	TRUE	FALSE
0	3.258096	FALSE	6.507277	7.893572	TRUE	10.57626	"good"	9.074712	1.386294	8	10.88638	"female"	TRUE	FALSE
2	3.258096	FALSE	6.507277	7.893572	TRUE	10.57626	"good"	9.074712	1.609438	8	11.88638	"female"	TRUE	FALSE
2	3.258096	FALSE	6.507277	7.893572	FALSE	10.3	"fair"	9.074712	1.386294	8	27.21424	"female"	FALSE	FALSE
0	3.258096	FALSE	6.507277	7.893572	FALSE	10.3	"fair"	9.074712	1.386294	8	28.21424	"female"	FALSE	FALSE
1	3.258096	FALSE	6.507277	7.893572	FALSE	10.3	"fair"	9.074712	1.609438	8	29.21424	"female"	FALSE	FALSE
9	3.258096	FALSE	5.156178	6.542472	FALSE	3.4	"good"	7.548329	1.609438	10	19.70705	"female"	FALSE	FALSE
5	3.258096	FALSE	5.156178	6.542472	FALSE	3.4	"good"	7.548329	1.609438	10	20.70705	"female"	FALSE	FALSE
4	3.258096	FALSE	5.156178	6.542472	FALSE	3.4	"good"	7.548329	1.791759	10	21.70705	"female"	FALSE	FALSE
0	3.258096	FALSE	5.156178	6.542472	FALSE	6.9	"excellent"	7.548329	1.609438	12	17.02122	"male"	TRUE	FALSE
0	3.258096	FALSE	5.156178	6.542472	FALSE	6.9	"excellent"	7.548329	1.609438	12	18.02122	"male"	FALSE	FALSE
0	3.258096	FALSE	5.156178	6.542472	FALSE	6.9	"excellent"	7.548329	1.791759	12	19.02122	"male"	FALSE	FALSE
3	3.258096	FALSE	5.156178	6.542472	TRUE	24.1	"fair"	7.548329	1.609438	12	44.51745	"female"	FALSE	FALSE
4	3.258096	FALSE	5.156178	6.542472	TRUE	24.1	"fair"	7.548329	1.609438	12	45.51745	"female"	FALSE	FALSE
5	3.258096	FALSE	5.156178	6.542472	TRUE	24.1	"fair"	7.548329	1.791759	12	46.51745	"female"	FALSE	FALSE
4	3.258096	FALSE	5.156178	6.542472	FALSE	6.9	"good"	7.548329	1.609438	9	18.42574	"female"	FALSE	FALSE
0	3.258096	FALSE	5.156178	6.542472	FALSE	6.9	"good"	7.548329	1.609438	9	19.42574	"female"	FALSE	FALSE
1	3.258096	FALSE	5.156178	6.542472	FALSE	6.9	"good"	7.548329	1.791759	9	20.42574	"female"	FALSE	FALSE
1	3.258096	FALSE	5.156178	6.542472	TRUE	17.2	"excellent"	7.548329	1.609438	16	50.48323	"male"	FALSE	FALSE
1	3.258096	FALSE	5.156178	6.542472	TRUE	17.2	"excellent"	7.548329	1.609438	16	51.48323	"male"	FALSE	FALSE
2	3.258096	FALSE	5.156178	6.542472	TRUE	17.2	"excellent"	7.548329	1.791759	16	52.48323	"male"	FALSE	FALSE
0	4.564348	FALSE	0	6.679335	FALSE	6.9	"good"	7.453881	1.098612	5	26.29706	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	6.9	"good"	7.453881	1.386294	5	27.29706	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	6.9	"good"	7.453881	1.386294	5	28.29706	"male"	FALSE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	17.2	"fair"	7.453881	1.098612	12	24.30664	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	17.2	"fair"	7.453881	1.386294	12	25.30664	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	17.2	"fair"	7.453881	1.386294	12	26.30664	"female"	FALSE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	10.57626	"excellent"	7.453881	1.098612	12	3.195072	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	10.57626	"excellent"	7.453881	1.386294	12	4.195072	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.679335	FALSE	10.57626	"excellent"	7.453881	1.386294	12	5.195072	"female"	TRUE	TRUE
2	4.564348	FALSE	5.857933	5.909226	FALSE	3.4	"good"	9.209365	1.386294	12	34.69405	"male"	FALSE	TRUE
1	4.564348	FALSE	5.857933	5.909226	TRUE	10.57626	"good"	9.209365	1.386294	12	11.75086	"female"	TRUE	TRUE
2	4.564348	FALSE	5.857933	5.909226	FALSE	10.57626	"good"	9.209365	1.386294	12	3.986311	"male"	TRUE	TRUE
3	4.564348	FALSE	5.857933	5.909226	TRUE	10.3	"good"	9.209365	1.386294	12	33.21287	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	0	"excellent"	8.815269	1.098612	12	22.54073	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	0	"excellent"	8.815269	1.098612	12	23.54073	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	0	"excellent"	8.815269	1.098612	12	24.54073	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	1.94591	10	16.33402	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	2.079442	10	17.33402	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	2.079442	10	18.33402	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	5.368392	1.94591	10	43.57837	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	5.368392	2.079442	10	44.57837	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	5.368392	2.079442	10	45.57837	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	5.368392	1.94591	10	41.78234	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	5.368392	2.079442	10	42.78234	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	5.368392	2.079442	10	43.78234	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	5.368392	1.94591	10	14.69678	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	5.368392	2.079442	10	15.69678	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	5.368392	2.079442	10	16.69678	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	5.368392	1.94591	10	13.14168	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	5.368392	2.079442	10	14.14168	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	5.368392	2.079442	10	15.14168	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	1.94591	10	17.83984	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	2.079442	10	18.83984	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	2.079442	10	19.83984	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	1.94591	10	19.49897	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	2.079442	10	20.49897	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	5.368392	2.079442	10	21.49897	"female"	FALSE	TRUE
6	0	FALSE	3.401197	0	TRUE	6.9	"poor"	8.358247	0	16	28.93908	"female"	FALSE	FALSE
8	0	FALSE	3.401197	0	TRUE	6.9	"poor"	8.358247	0	16	29.93908	"female"	FALSE	FALSE
3	0	FALSE	3.401197	0	TRUE	6.9	"poor"	8.358247	0	16	30.93908	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	12.76934	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	13.76934	"male"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	14.76934	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	15.76934	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	16.76934	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.451592	1.386294	11	33.69199	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.451592	1.386294	11	34.69199	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.451592	1.386294	11	35.69199	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.451592	1.386294	11	36.69199	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.451592	1.386294	11	37.69199	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.451592	1.386294	12	37.22382	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.451592	1.386294	12	38.22382	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.451592	1.386294	12	39.22382	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.451592	1.386294	12	40.22382	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.451592	1.386294	12	41.22382	"male"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	13.8	"good"	9.530105	1.098612	10	23.1896	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	9.530105	1.098612	10	24.1896	"female"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	13.8	"good"	9.530105	1.386294	10	25.1896	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.530105	1.098612	10	6.332649	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.530105	1.098612	10	7.332649	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.530105	1.386294	10	8.332649	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	0	"excellent"	9.530105	1.098612	12	27.31828	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.530105	1.098612	12	28.31828	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	0	"excellent"	9.530105	1.386294	12	29.31828	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.193713	1.609438	13	5.544148	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.193713	1.609438	13	6.544148	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.193713	1.609438	13	7.544148	"male"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.193713	1.609438	13	9.475701	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.193713	1.609438	13	10.4757	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.193713	1.609438	13	11.4757	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.193713	1.609438	13	31.58385	"male"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.193713	1.609438	13	32.58385	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.193713	1.609438	13	33.58385	"male"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.193713	1.609438	13	31.18686	"female"	FALSE	TRUE
16	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.193713	1.609438	13	32.18686	"female"	FALSE	TRUE
12	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.193713	1.609438	13	33.18686	"female"	FALSE	TRUE
5	3.258096	FALSE	6.401171	7.787465	FALSE	6.9	"good"	9.168032	1.098612	10	14.33265	"female"	TRUE	FALSE
1	3.258096	FALSE	6.401171	7.787465	FALSE	6.9	"good"	9.168032	1.098612	10	15.33265	"female"	TRUE	FALSE
1	3.258096	FALSE	6.401171	7.787465	FALSE	6.9	"good"	9.168032	1.098612	10	16.33265	"female"	TRUE	FALSE
0	3.258096	FALSE	6.401171	7.787465	FALSE	17.2	"good"	9.168032	1.098612	8	41.90554	"male"	FALSE	FALSE
0	3.258096	FALSE	6.401171	7.787465	FALSE	17.2	"good"	9.168032	1.098612	8	42.90554	"male"	FALSE	FALSE
0	3.258096	FALSE	6.401171	7.787465	FALSE	17.2	"good"	9.168032	1.098612	8	43.90554	"male"	FALSE	FALSE
0	3.258096	FALSE	6.401171	7.787465	FALSE	20.7	"good"	9.168032	1.098612	10	37.97947	"female"	FALSE	FALSE
1	3.258096	FALSE	6.401171	7.787465	FALSE	20.7	"good"	9.168032	1.098612	10	38.97947	"female"	FALSE	FALSE
3	3.258096	FALSE	6.401171	7.787465	FALSE	20.7	"good"	9.168032	1.098612	10	39.97947	"female"	FALSE	FALSE
11	0	FALSE	5.030438	0	TRUE	6.9	"good"	9.628537	0	12	57.80151	"female"	FALSE	FALSE
11	0	FALSE	5.030438	0	TRUE	6.9	"good"	9.628537	0	12	58.80151	"female"	FALSE	FALSE
9	0	FALSE	5.030438	0	TRUE	6.9	"good"	9.628537	0	12	59.80151	"female"	FALSE	FALSE
7	0	FALSE	5.030438	0	TRUE	6.9	"good"	9.628537	0	12	60.80151	"female"	FALSE	FALSE
2	0	FALSE	5.030438	0	TRUE	6.9	"good"	9.628537	0	12	61.80151	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	0	"good"	8.815269	2.302585	8	18.52156	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"fair"	8.815269	2.302585	12	12.23819	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"fair"	8.815269	2.197225	12	13.23819	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"fair"	8.815269	1.94591	12	14.23819	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"fair"	8.815269	2.302585	12	16.07118	"male"	TRUE	TRUE
3	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"fair"	8.815269	2.197225	12	17.07118	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"fair"	8.815269	1.94591	12	18.07118	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.815269	2.302585	12	10.72142	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.815269	2.197225	12	11.72142	"female"	TRUE	TRUE
1	4.564348	TRUE	5.010635	6.160541	TRUE	13.8	"good"	8.815269	2.302585	12	43.44422	"female"	FALSE	TRUE
29	4.564348	TRUE	5.010635	6.160541	TRUE	13.8	"good"	8.815269	2.197225	12	44.44422	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	TRUE	13.8	"good"	8.815269	1.94591	12	45.44422	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	17.2	"excellent"	8.815269	2.302585	10	19.93703	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	17.2	"excellent"	8.815269	2.197225	10	20.93703	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	17.2	"excellent"	8.815269	1.94591	10	21.93703	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	20.7	"good"	8.815269	2.302585	4	46.29432	"male"	FALSE	TRUE
6	4.564348	TRUE	5.010635	6.160541	FALSE	20.7	"good"	8.815269	2.197225	4	47.29432	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.815269	2.302585	12	13.39083	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.815269	2.197225	12	14.39083	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.815269	1.94591	12	15.39083	"male"	TRUE	TRUE
2	4.564348	TRUE	5.010635	5.755076	TRUE	10.3	"good"	8.116777	0.6931472	11	58.51609	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.755076	TRUE	10.3	"good"	8.116777	0.6931472	11	59.51609	"female"	FALSE	FALSE
8	4.564348	TRUE	5.010635	5.755076	TRUE	10.3	"good"	8.116777	0.6931472	11	60.51609	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	5.755076	FALSE	0	"excellent"	8.116777	0.6931472	13	61.10883	"male"	FALSE	FALSE
5	4.564348	TRUE	5.010635	5.755076	FALSE	0	"excellent"	8.116777	0.6931472	13	62.10883	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	5.755076	FALSE	0	"excellent"	8.116777	0.6931472	13	63.10883	"male"	FALSE	FALSE
12	0	FALSE	0	0	FALSE	13.8	"excellent"	9.143099	1.609438	14	35.48528	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	13.8	"excellent"	9.143099	1.609438	14	36.48528	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	13.8	"excellent"	9.143099	1.609438	14	37.48528	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	4.84052	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	5.84052	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	6.84052	"female"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	17.2	"excellent"	9.143099	1.609438	12	31.84394	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"excellent"	9.143099	1.609438	12	32.84394	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"excellent"	9.143099	1.609438	12	33.84394	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	8.416153	"male"	TRUE	FALSE
6	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	9.416153	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	10.41615	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	11.6742	"female"	TRUE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	12.6742	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	13.6742	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	14.07803	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	15.07803	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	16.07803	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	3.405886	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	4.405886	"male"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	5.405886	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.243624	2.079442	11	32.83231	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.243624	2.079442	11	33.83231	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.243624	2.079442	11	34.83231	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.243624	2.079442	4	33.34702	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.243624	2.079442	4	34.34702	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.243624	2.079442	4	35.34702	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	10.71595	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	11.71595	"male"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.243624	2.079442	11	12.71595	"male"	TRUE	FALSE
2	0	FALSE	5.482637	0	FALSE	0	"good"	8.89451	1.098612	12	21.83436	"female"	FALSE	TRUE
1	0	FALSE	5.482637	0	FALSE	0	"good"	8.89451	1.098612	12	22.83436	"female"	FALSE	TRUE
2	0	FALSE	5.482637	0	FALSE	0	"good"	8.89451	1.098612	12	23.83436	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	31	"fair"	8.354323	1.94591	3	52.15332	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	TRUE	31	"fair"	8.354323	1.94591	3	53.15332	"female"	FALSE	TRUE
7	4.564348	TRUE	6.109248	6.160541	TRUE	31	"fair"	8.354323	1.94591	3	54.15332	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	31	"fair"	8.354323	1.94591	3	55.15332	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	TRUE	31	"fair"	8.354323	1.94591	3	56.15332	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.354323	1.94591	12	21.0705	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.354323	1.94591	12	22.0705	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.354323	1.94591	12	23.0705	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.354323	1.94591	12	24.0705	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"fair"	8.354323	1.94591	12	25.0705	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.354323	1.94591	10	19.37029	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.354323	1.94591	10	20.37029	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.354323	1.94591	10	21.37029	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.354323	1.94591	10	22.37029	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.354323	1.94591	10	23.37029	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.354323	1.94591	3	17.18001	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.354323	1.94591	3	18.18001	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.354323	1.94591	3	19.18001	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.354323	1.94591	3	20.18001	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.354323	1.94591	3	21.18001	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.354323	1.94591	3	12.92813	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.354323	1.94591	3	13.92813	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.354323	1.94591	3	14.92813	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.354323	1.94591	3	15.92813	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.354323	1.94591	3	16.92813	"male"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	12.63518	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	13.63518	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	14.63518	"female"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	14.43395	"male"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	15.43395	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	16.43395	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"good"	9.37044	1.609438	16	32.27105	"male"	FALSE	TRUE
3	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"good"	9.37044	1.609438	16	33.27105	"male"	FALSE	TRUE
3	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"good"	9.37044	1.609438	16	34.27105	"male"	FALSE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"excellent"	9.37044	1.609438	17	33.98768	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"excellent"	9.37044	1.609438	17	34.98768	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	27.6	"excellent"	9.37044	1.609438	17	35.98768	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"fair"	0	1.609438	7	25.9165	"male"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"fair"	0	1.609438	7	26.9165	"male"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"fair"	0	1.609438	7	27.9165	"male"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	6.9	"fair"	0	1.609438	9	19.85489	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	6.9	"fair"	0	1.609438	9	20.85489	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	6.9	"fair"	0	1.609438	9	21.85489	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	0	1.609438	9	3.649555	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	0	1.609438	9	4.649555	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	0	1.609438	9	5.649555	"female"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	3.4	"good"	9.163106	1.609438	12	14.59548	"female"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	3.4	"good"	9.163106	1.609438	12	15.59548	"female"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	3.4	"good"	9.163106	1.609438	12	16.59548	"female"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	10.57626	"excellent"	9.163106	1.609438	12	13.10062	"male"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	10.57626	"excellent"	9.163106	1.609438	12	14.10062	"male"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	10.57626	"excellent"	9.163106	1.609438	12	15.10062	"male"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	TRUE	24.1	"good"	9.163106	1.609438	12	37.18002	"female"	FALSE	TRUE
1	4.564348	FALSE	6.461468	6.512762	TRUE	24.1	"good"	9.163106	1.609438	12	38.18002	"female"	FALSE	TRUE
0	4.564348	FALSE	6.461468	6.512762	TRUE	24.1	"good"	9.163106	1.609438	12	39.18002	"female"	FALSE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	3.4	"good"	9.163106	1.609438	12	17.0486	"female"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	3.4	"good"	9.163106	1.609438	12	18.0486	"female"	FALSE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	3.4	"good"	9.163106	1.609438	12	19.0486	"female"	FALSE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	10.57626	"excellent"	9.163106	1.609438	12	7.134839	"male"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	10.57626	"excellent"	9.163106	1.609438	12	8.134839	"male"	TRUE	TRUE
0	4.564348	FALSE	6.461468	6.512762	FALSE	10.57626	"excellent"	9.163106	1.609438	12	9.134839	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.981674	1.386294	13	8.388775	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.981674	1.386294	13	9.388775	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.981674	1.386294	13	10.38877	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.981674	1.386294	13	29.16359	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.981674	1.386294	13	30.16359	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.981674	1.386294	13	31.16359	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.981674	1.386294	14	31.33744	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.981674	1.386294	14	32.33744	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.981674	1.386294	14	33.33744	"male"	FALSE	FALSE
0	0	FALSE	4.822859	0	TRUE	10.57626	"excellent"	8.273219	0.6931472	12	8.071184	"male"	TRUE	FALSE
0	0	FALSE	4.822859	0	TRUE	10.57626	"excellent"	8.273219	0.6931472	12	9.071184	"male"	TRUE	FALSE
3	0	FALSE	4.822859	0	TRUE	10.57626	"excellent"	8.273219	0.6931472	12	10.07118	"male"	TRUE	FALSE
0	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.273219	0.6931472	12	46.78987	"female"	FALSE	FALSE
1	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.273219	0.6931472	12	47.78987	"female"	FALSE	FALSE
9	0	FALSE	4.822859	0	FALSE	10.3	"excellent"	8.273219	0.6931472	12	48.78987	"female"	FALSE	FALSE
7	0	FALSE	5.042134	0	FALSE	17.2	"poor"	8.686713	1.609438	3	44.99384	"female"	FALSE	TRUE
9	0	FALSE	5.042134	0	FALSE	17.2	"poor"	8.686713	1.609438	3	45.99384	"female"	FALSE	TRUE
5	0	FALSE	5.042134	0	FALSE	17.2	"poor"	8.686713	1.609438	3	46.99384	"female"	FALSE	TRUE
3	0	FALSE	5.042134	0	FALSE	10.3	"good"	8.686713	1.609438	3	48.0794	"male"	FALSE	TRUE
2	0	FALSE	5.042134	0	FALSE	10.3	"good"	8.686713	1.609438	3	49.0794	"male"	FALSE	TRUE
0	0	FALSE	5.042134	0	FALSE	10.3	"good"	8.686713	1.609438	3	50.0794	"male"	FALSE	TRUE
3	0	FALSE	5.042134	0	FALSE	13.8	"fair"	8.686713	1.609438	3	17.36071	"female"	TRUE	TRUE
1	0	FALSE	5.042134	0	FALSE	13.8	"fair"	8.686713	1.609438	3	18.36071	"female"	FALSE	TRUE
3	0	FALSE	5.042134	0	FALSE	13.8	"fair"	8.686713	1.609438	3	19.36071	"female"	FALSE	TRUE
2	0	FALSE	5.042134	0	FALSE	13.8	"good"	8.686713	1.609438	3	15.1321	"female"	TRUE	TRUE
6	0	FALSE	5.042134	0	FALSE	13.8	"good"	8.686713	1.609438	3	16.1321	"female"	TRUE	TRUE
4	0	FALSE	5.042134	0	FALSE	13.8	"good"	8.686713	1.609438	3	17.1321	"female"	TRUE	TRUE
7	0	FALSE	5.042134	0	FALSE	10.57626	"good"	8.686713	1.609438	3	9.960301	"male"	TRUE	TRUE
5	0	FALSE	5.042134	0	FALSE	10.57626	"good"	8.686713	1.609438	3	10.9603	"male"	TRUE	TRUE
4	0	FALSE	5.042134	0	FALSE	10.57626	"good"	8.686713	1.609438	3	11.9603	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.815269	2.302585	12	14.22313	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.815269	2.197225	12	15.22313	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.815269	2.197225	12	16.22313	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"good"	8.815269	2.197225	12	17.22313	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"good"	8.815269	2.197225	12	18.22313	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.302585	12	13.09788	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	14.09788	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	15.09788	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	16.09788	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	17.09788	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.815269	2.302585	12	17.38535	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.302585	12	11.92334	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	12.92334	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	13.92334	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	14.92334	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	15.92334	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.302585	12	16.12047	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.197225	12	17.12047	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.197225	12	18.12047	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.197225	12	19.12047	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.197225	12	20.12047	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	2.302585	10	53.21287	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	2.197225	10	54.21287	"male"	FALSE	TRUE
10	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	2.197225	10	55.21287	"male"	FALSE	TRUE
10	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	2.197225	10	56.21287	"male"	FALSE	TRUE
9	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	2.197225	10	57.21287	"male"	FALSE	TRUE
7	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	2.302585	12	45.30595	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	2.197225	12	46.30595	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	2.197225	12	47.30595	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	2.197225	12	48.30595	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	2.197225	12	49.30595	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.302585	12	9.823409	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	10.82341	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	11.82341	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	12.82341	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	13.82341	"female"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	1.098612	12	31.83299	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	1.098612	12	32.83299	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	13.8	"good"	8.815269	1.098612	12	33.83299	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.815269	1.098612	12	3.022587	"male"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.815269	1.098612	12	4.022587	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.815269	1.098612	12	5.022587	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	1.098612	12	33.76591	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	1.098612	12	34.76591	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	17.2	"good"	8.815269	1.098612	12	35.76591	"male"	FALSE	TRUE
2	3.258096	FALSE	0	8.006368	FALSE	6.9	"good"	8.438714	0.6931472	11	43.28268	"female"	FALSE	TRUE
1	3.258096	FALSE	0	8.006368	FALSE	6.9	"good"	8.438714	0.6931472	11	44.28268	"female"	FALSE	TRUE
2	3.258096	FALSE	0	8.006368	FALSE	6.9	"good"	8.438714	0	11	45.28268	"female"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.305043	1.386294	12	26.33539	"male"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.305043	1.386294	12	27.33539	"male"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.305043	1.386294	12	28.33539	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.305043	1.386294	12	5.24846	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.305043	1.386294	12	6.24846	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.305043	1.386294	12	7.24846	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.305043	1.386294	12	25.11157	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.305043	1.386294	12	26.11157	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.305043	1.386294	12	27.11157	"female"	FALSE	TRUE
15	0	FALSE	0	0	FALSE	20.7	"excellent"	8.841134	1.098612	12	28.16701	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	20.7	"excellent"	8.841134	1.098612	12	29.16701	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	20.7	"excellent"	8.841134	1.098612	12	30.16701	"female"	FALSE	TRUE
11	0	FALSE	0	0	FALSE	20.7	"excellent"	8.841134	1.098612	12	31.16701	"female"	FALSE	TRUE
8	0	FALSE	0	0	FALSE	20.7	"excellent"	8.841134	1.098612	12	32.16701	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	4.454483	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	5.454483	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	6.454483	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	7.454483	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	8.454483	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	7.879535	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	8.879535	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	9.879535	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	10.87953	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.841134	1.098612	12	11.87953	"female"	TRUE	TRUE
7	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	7.473371	1.94591	11	30.0616	"female"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	7.473371	1.94591	11	31.0616	"female"	FALSE	TRUE
2	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	7.473371	1.94591	11	32.0616	"female"	FALSE	TRUE
4	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	7.473371	1.94591	11	33.0616	"female"	FALSE	TRUE
10	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	7.473371	1.94591	11	34.0616	"female"	FALSE	TRUE
2	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.473371	1.94591	12	32.40247	"male"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.473371	1.94591	12	33.40247	"male"	FALSE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.473371	1.94591	12	34.40247	"male"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.473371	1.94591	12	35.40247	"male"	FALSE	TRUE
3	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	7.473371	1.94591	12	36.40247	"male"	FALSE	TRUE
4	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	3.041752	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	4.041752	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	5.041752	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	6.041752	"male"	TRUE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	7.041752	"male"	TRUE	TRUE
2	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	8.150581	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	9.150581	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	10.15058	"male"	TRUE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	11.15058	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	12.15058	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	9.492128	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	10.49213	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	11.49213	"male"	TRUE	TRUE
2	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	12.49213	"male"	TRUE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	13.49213	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	5.262149	"female"	TRUE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	6.262149	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	7.262149	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	8.262149	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	9.262149	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	10.8501	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	11.8501	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	12.8501	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	13.8501	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	7.473371	1.94591	11	14.8501	"female"	TRUE	TRUE
4	4.564348	TRUE	6.268187	5.755076	TRUE	37.9	"poor"	7.139521	0.6931472	5	55.1102	"female"	FALSE	FALSE
7	4.564348	TRUE	6.268187	5.755076	TRUE	37.9	"poor"	7.139521	0	5	56.1102	"female"	FALSE	FALSE
29	4.564348	TRUE	6.268187	5.755076	TRUE	37.9	"poor"	7.139521	0	5	57.1102	"female"	FALSE	FALSE
5	4.564348	TRUE	6.268187	5.755076	TRUE	37.9	"poor"	7.139521	0	5	58.1102	"female"	FALSE	FALSE
5	4.564348	TRUE	6.268187	5.755076	TRUE	27.6	"poor"	7.139521	0.6931472	3	56.67351	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	9.3714	1.386294	7	4.380561	"female"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	9.3714	1.386294	7	5.380561	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	9.3714	1.386294	7	6.380561	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.3714	1.386294	7	25.77413	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.3714	1.386294	7	26.77413	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	10.3	"good"	9.3714	1.386294	7	27.77413	"female"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	9.3714	1.386294	6	31.21971	"male"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	9.3714	1.386294	6	32.21971	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	9.3714	1.386294	6	33.21971	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"fair"	9.3714	1.386294	7	6.773443	"female"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"fair"	9.3714	1.386294	7	7.773443	"female"	TRUE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"fair"	9.3714	1.386294	7	8.773443	"female"	TRUE	FALSE
12	0	FALSE	5.632071	0	TRUE	10.3	"poor"	8.413813	1.609438	3	49.81246	"male"	FALSE	TRUE
0	0	FALSE	5.632071	0	TRUE	10.3	"poor"	8.413813	1.609438	3	50.81246	"male"	FALSE	TRUE
2	0	FALSE	5.632071	0	TRUE	10.3	"poor"	8.413813	1.609438	3	51.81246	"male"	FALSE	TRUE
0	0	FALSE	5.632071	0	TRUE	10.3	"poor"	8.413813	1.609438	3	52.81246	"male"	FALSE	TRUE
11	0	FALSE	5.632071	0	TRUE	10.3	"poor"	8.413813	1.609438	3	53.81246	"male"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	6.9	"fair"	0	0.6931472	11	19.96441	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	6.9	"fair"	0	0.6931472	11	20.96441	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"fair"	0	0.6931472	11	21.96441	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"fair"	0	0.6931472	11	22.96441	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"fair"	0	0.6931472	11	23.96441	"female"	FALSE	TRUE
3	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	17.44832	"female"	TRUE	TRUE
2	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	18.44832	"female"	FALSE	TRUE
2	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	19.44832	"female"	FALSE	TRUE
0	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	20.44832	"female"	FALSE	TRUE
2	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	21.44832	"female"	FALSE	TRUE
0	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	15.44969	"male"	TRUE	TRUE
0	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	16.44969	"male"	TRUE	TRUE
0	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	17.44969	"male"	TRUE	TRUE
0	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	18.44969	"male"	FALSE	TRUE
3	0	FALSE	5.632071	0	FALSE	3.4	"fair"	8.413813	1.609438	9	19.44969	"male"	FALSE	TRUE
4	0	FALSE	5.632071	0	FALSE	10.57626	"fair"	8.413813	1.609438	9	13.77687	"female"	TRUE	TRUE
3	0	FALSE	5.632071	0	FALSE	10.57626	"fair"	8.413813	1.609438	9	14.77687	"female"	TRUE	TRUE
2	0	FALSE	5.632071	0	FALSE	10.57626	"fair"	8.413813	1.609438	9	15.77687	"female"	TRUE	TRUE
0	0	FALSE	5.632071	0	FALSE	10.57626	"fair"	8.413813	1.609438	9	16.77687	"female"	TRUE	TRUE
2	0	FALSE	5.632071	0	FALSE	10.57626	"fair"	8.413813	1.609438	9	17.77687	"female"	TRUE	TRUE
4	0	FALSE	5.632071	0	FALSE	13.8	"fair"	8.413813	1.609438	9	46.84189	"female"	FALSE	TRUE
1	0	FALSE	5.632071	0	FALSE	13.8	"fair"	8.413813	1.609438	9	47.84189	"female"	FALSE	TRUE
10	0	FALSE	5.632071	0	FALSE	13.8	"fair"	8.413813	1.609438	9	48.84189	"female"	FALSE	TRUE
3	0	FALSE	5.632071	0	FALSE	13.8	"fair"	8.413813	1.609438	9	49.84189	"female"	FALSE	TRUE
8	0	FALSE	5.632071	0	FALSE	13.8	"fair"	8.413813	1.609438	9	50.84189	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.45934	1.386294	18	12.19713	"female"	TRUE	FALSE
10	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.45934	1.386294	18	13.19713	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.45934	1.386294	18	14.19713	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.45934	1.386294	18	8.933607	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.45934	1.386294	18	9.933607	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	9.45934	1.386294	18	10.93361	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"fair"	9.45934	1.386294	18	35.56468	"female"	FALSE	FALSE
8	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"fair"	9.45934	1.386294	18	36.56468	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"fair"	9.45934	1.386294	18	37.56468	"female"	FALSE	FALSE
0	4.564348	TRUE	0	5.755076	FALSE	10.57626	"good"	8.815269	0.6931472	12	7.616701	"female"	TRUE	TRUE
1	4.564348	TRUE	0	5.755076	FALSE	10.57626	"good"	8.815269	0.6931472	12	8.616701	"female"	TRUE	TRUE
0	4.564348	TRUE	0	5.755076	FALSE	10.57626	"good"	8.815269	0.6931472	12	9.616701	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.098612	10.62774	18.63107	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.098612	10.62774	19.63107	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.098612	10.62774	20.63107	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.815269	1.098612	14	29.32238	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.815269	1.098612	14	30.32238	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.815269	1.098612	14	31.32238	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.815269	1.098612	14	16.44901	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.815269	1.098612	14	17.44901	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.815269	1.098612	14	18.44901	"female"	FALSE	TRUE
0	4.564348	TRUE	0	5.755076	FALSE	3.4	"good"	8.815269	0.6931472	12	27.39767	"female"	FALSE	TRUE
0	4.564348	TRUE	0	5.755076	FALSE	3.4	"good"	8.815269	0.6931472	12	28.39767	"female"	FALSE	TRUE
0	4.564348	TRUE	0	5.755076	FALSE	3.4	"good"	8.815269	0.6931472	12	29.39767	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	25.577	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	26.577	"female"	FALSE	TRUE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	27.577	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	7.498973	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	8.498973	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	9.498973	"female"	TRUE	TRUE
0	3.258096	FALSE	3.039749	4.426044	FALSE	10.57626	"good"	6.482865	1.386294	2	10.69405	"male"	TRUE	TRUE
0	3.258096	FALSE	3.039749	4.426044	FALSE	10.57626	"good"	6.482865	1.386294	2	11.69405	"male"	TRUE	TRUE
1	3.258096	FALSE	3.039749	4.426044	FALSE	10.57626	"good"	6.482865	1.386294	2	12.69405	"male"	TRUE	TRUE
0	3.258096	FALSE	3.039749	4.426044	FALSE	10.57626	"fair"	6.482865	1.386294	2	11.32101	"male"	TRUE	TRUE
0	3.258096	FALSE	3.039749	4.426044	FALSE	10.57626	"fair"	6.482865	1.386294	2	12.32101	"male"	TRUE	TRUE
0	3.258096	FALSE	3.039749	4.426044	FALSE	10.57626	"fair"	6.482865	1.386294	2	13.32101	"male"	TRUE	TRUE
0	3.258096	FALSE	3.039749	4.426044	TRUE	0	"good"	6.482865	1.386294	11	21.21561	"male"	FALSE	TRUE
0	3.258096	FALSE	3.039749	4.426044	TRUE	0	"good"	6.482865	1.386294	11	22.21561	"male"	FALSE	TRUE
0	3.258096	FALSE	3.039749	4.426044	TRUE	0	"good"	6.482865	1.386294	11	23.21561	"male"	FALSE	TRUE
0	3.258096	FALSE	3.039749	4.426044	TRUE	34.5	"poor"	6.482865	1.386294	2	56.74469	"female"	FALSE	TRUE
1	3.258096	FALSE	3.039749	4.426044	TRUE	34.5	"poor"	6.482865	1.386294	2	57.74469	"female"	FALSE	TRUE
8	3.258096	FALSE	3.039749	4.426044	TRUE	34.5	"poor"	6.482865	1.386294	2	58.74469	"female"	FALSE	TRUE
1	4.564348	TRUE	5.941959	5.755076	TRUE	6.9	"fair"	8.71971	0.6931472	12	22.11362	"male"	FALSE	FALSE
0	4.564348	TRUE	5.941959	5.755076	TRUE	6.9	"fair"	8.71971	0.6931472	12	23.11362	"male"	FALSE	FALSE
0	4.564348	TRUE	5.941959	5.755076	TRUE	6.9	"fair"	8.71971	0.6931472	12	24.11362	"male"	FALSE	FALSE
0	4.564348	TRUE	5.941959	5.755076	TRUE	6.9	"fair"	8.71971	0.6931472	12	25.11362	"male"	FALSE	FALSE
0	4.564348	TRUE	5.941959	5.755076	TRUE	6.9	"fair"	8.71971	0.6931472	12	26.11362	"male"	FALSE	FALSE
1	4.564348	TRUE	5.941959	5.755076	FALSE	3.4	"good"	8.71971	0.6931472	14	22.09993	"female"	FALSE	FALSE
3	4.564348	TRUE	5.941959	5.755076	FALSE	3.4	"good"	8.71971	0.6931472	14	23.09993	"female"	FALSE	FALSE
1	4.564348	TRUE	5.941959	5.755076	FALSE	3.4	"good"	8.71971	0.6931472	14	24.09993	"female"	FALSE	FALSE
1	4.564348	TRUE	5.941959	5.755076	FALSE	3.4	"good"	8.71971	0.6931472	14	25.09993	"female"	FALSE	FALSE
2	4.564348	TRUE	5.941959	5.755076	FALSE	3.4	"good"	8.71971	0.6931472	14	26.09993	"female"	FALSE	FALSE
10	0	FALSE	5.126342	0	FALSE	3.4	"good"	8.216621	1.791759	12	31.75907	"female"	FALSE	TRUE
6	0	FALSE	5.126342	0	FALSE	3.4	"good"	8.216621	1.791759	12	32.75907	"female"	FALSE	TRUE
3	0	FALSE	5.126342	0	FALSE	3.4	"good"	8.216621	1.94591	12	33.75907	"female"	FALSE	TRUE
1	0	FALSE	5.126342	0	FALSE	10.57626	"good"	8.216621	1.791759	12	5.995893	"male"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.57626	"good"	8.216621	1.791759	12	6.995893	"male"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.57626	"good"	8.216621	1.94591	12	7.995893	"male"	TRUE	TRUE
2	0	FALSE	5.126342	0	FALSE	10.57626	"good"	8.216621	1.791759	12	4.657084	"female"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.57626	"good"	8.216621	1.791759	12	5.657084	"female"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.57626	"good"	8.216621	1.94591	12	6.657084	"female"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.3	"fair"	8.216621	1.791759	10	33.71115	"male"	FALSE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.3	"fair"	8.216621	1.791759	10	34.71115	"male"	FALSE	TRUE
3	0	FALSE	5.126342	0	FALSE	10.3	"fair"	8.216621	1.94591	10	35.71115	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.561458	1.386294	12	5.144422	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.561458	1.386294	12	6.144422	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.561458	1.386294	12	7.144422	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.3	"excellent"	8.561458	1.386294	12	28.96372	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.3	"excellent"	8.561458	1.386294	12	29.96372	"female"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.3	"excellent"	8.561458	1.386294	12	30.96372	"female"	FALSE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.561458	1.386294	12	6.973306	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.561458	1.386294	12	7.973306	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.561458	1.386294	12	8.973306	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"excellent"	8.561458	1.386294	14	34.5243	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"excellent"	8.561458	1.386294	14	35.5243	"male"	FALSE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"excellent"	8.561458	1.386294	14	36.5243	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.815269	1.098612	3	46.84189	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.815269	1.098612	3	47.84189	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	8.815269	1.098612	3	48.84189	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.815269	1.098612	12	33.21834	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.815269	1.098612	12	34.21834	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.815269	1.098612	12	35.21834	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	4.090349	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	5.090349	"male"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	6.090349	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.386294	11	1.399042	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.386294	11	2.399042	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.609438	11	3.399042	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.609438	11	4.399042	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.609438	11	5.399042	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.386294	11	23.90417	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.386294	11	24.90417	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.609438	11	25.90417	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.609438	11	26.90417	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.609438	11	27.90417	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.386294	11	4.306639	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.386294	11	5.306639	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.609438	11	6.306639	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.609438	11	7.306639	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.766681	1.609438	11	8.30664	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.386294	12	30.91855	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.386294	12	31.91855	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.609438	12	32.91855	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.609438	12	33.91855	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	8.766681	1.609438	12	34.91855	"male"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	6.9	"good"	9.281002	1.386294	12	35.43053	"male"	FALSE	FALSE
0	0	FALSE	5.259992	0	FALSE	6.9	"good"	9.281002	1.386294	12	36.43053	"male"	FALSE	FALSE
8	0	FALSE	5.259992	0	FALSE	6.9	"good"	9.281002	1.386294	12	37.43053	"male"	FALSE	FALSE
0	0	FALSE	5.259992	0	FALSE	10.3	"good"	9.281002	1.386294	14	34.03149	"female"	FALSE	FALSE
5	0	FALSE	5.259992	0	FALSE	10.3	"good"	9.281002	1.386294	14	35.03149	"female"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	10.3	"good"	9.281002	1.386294	14	36.03149	"female"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.281002	1.386294	14	8.073922	"male"	TRUE	FALSE
1	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.281002	1.386294	14	9.073922	"male"	TRUE	FALSE
0	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.281002	1.386294	14	10.07392	"male"	TRUE	FALSE
3	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.281002	1.386294	14	4.375085	"male"	TRUE	FALSE
1	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.281002	1.386294	14	5.375085	"male"	TRUE	FALSE
0	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.281002	1.386294	14	6.375085	"male"	TRUE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	7.873485	0.6931472	12	28.44901	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	7.873485	0.6931472	12	29.44901	"female"	FALSE	TRUE
3	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"good"	7.873485	0.6931472	12	30.44901	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.356867	0.6931472	8	46.86379	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	9.356867	0.6931472	8	47.86379	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	3.4	"excellent"	9.356867	0.6931472	8	48.86379	"male"	FALSE	FALSE
1	3.931826	FALSE	6.07507	6.560323	FALSE	17.2	"fair"	8.815269	1.098612	11	29.04586	"female"	FALSE	TRUE
1	3.931826	FALSE	6.07507	6.560323	FALSE	17.2	"fair"	8.815269	1.098612	11	30.04586	"female"	FALSE	TRUE
3	3.931826	FALSE	6.07507	6.560323	FALSE	17.2	"fair"	8.815269	1.098612	11	31.04586	"female"	FALSE	TRUE
0	3.931826	FALSE	6.07507	6.560323	FALSE	3.4	"poor"	8.815269	1.098612	5	28.42163	"male"	FALSE	TRUE
7	3.931826	FALSE	6.07507	6.560323	FALSE	3.4	"poor"	8.815269	1.098612	5	29.42163	"male"	FALSE	TRUE
2	3.931826	FALSE	6.07507	6.560323	FALSE	3.4	"poor"	8.815269	1.098612	5	30.42163	"male"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	9.786711	1.791759	12	13.06502	"male"	TRUE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.786711	1.791759	12	15.06913	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.786711	1.791759	12	17.16085	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.786711	1.791759	12	35.78918	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.786711	1.791759	12	37.89733	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"excellent"	9.786711	1.791759	12	16.14784	"female"	TRUE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	0	"excellent"	8.514927	1.098612	14	34.45037	"female"	FALSE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	0	"excellent"	8.514927	1.098612	14	35.45037	"female"	FALSE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	0	"excellent"	8.514927	1.098612	14	36.45037	"female"	FALSE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	0	"excellent"	8.514927	1.098612	14	37.45037	"female"	FALSE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	0	"excellent"	8.514927	1.098612	14	38.45037	"female"	FALSE	FALSE
1	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	13.24298	"female"	TRUE	FALSE
1	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	14.24298	"female"	TRUE	FALSE
2	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	15.24298	"female"	TRUE	FALSE
5	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	16.24298	"female"	TRUE	FALSE
1	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	17.24298	"female"	TRUE	FALSE
2	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	11.35661	"female"	TRUE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	12.35661	"female"	TRUE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	13.35661	"female"	TRUE	FALSE
2	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	14.35661	"female"	TRUE	FALSE
0	3.258096	FALSE	7.163699	8.006368	FALSE	10.57626	"excellent"	8.514927	1.098612	14	15.35661	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.241144	1.386294	12	38.20397	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.241144	1.386294	12	39.20397	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	17.2	"excellent"	9.241144	1.386294	12	40.20397	"female"	FALSE	FALSE
12	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.241144	1.386294	12	35.5729	"male"	FALSE	FALSE
9	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.241144	1.386294	12	36.5729	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	9.241144	1.386294	12	37.5729	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.241144	1.386294	12	10.35729	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.241144	1.386294	12	11.35729	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.241144	1.386294	12	12.35729	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.241144	1.386294	12	8.06297	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.241144	1.386294	12	9.06297	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.241144	1.386294	12	10.06297	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.418461	1.098612	16	28.77481	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.418461	1.386294	16	29.77481	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.418461	1.386294	16	30.77481	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.418461	1.386294	16	31.77481	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	9.418461	1.386294	16	32.77481	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.418461	1.098612	16	3.775496	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.418461	1.386294	16	4.775496	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.418461	1.386294	16	5.775496	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.418461	1.386294	16	6.775496	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.418461	1.386294	16	7.775496	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.418461	1.098612	16	26.99247	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.418461	1.386294	16	27.99247	"female"	FALSE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.418461	1.386294	16	28.99247	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.418461	1.386294	16	29.99247	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.418461	1.386294	16	30.99247	"female"	FALSE	FALSE
4	0	FALSE	4.457134	0	FALSE	24.1	"good"	9.847222	1.098612	16	47.23614	"female"	FALSE	FALSE
4	0	FALSE	4.457134	0	FALSE	24.1	"good"	9.847222	1.098612	16	48.23614	"female"	FALSE	FALSE
1	0	FALSE	4.457134	0	FALSE	24.1	"good"	9.847222	1.098612	16	49.23614	"female"	FALSE	FALSE
1	0	FALSE	4.457134	0	FALSE	3.4	"excellent"	9.847222	1.098612	16	16.86242	"male"	TRUE	FALSE
1	0	FALSE	4.457134	0	FALSE	3.4	"excellent"	9.847222	1.098612	16	17.86242	"male"	TRUE	FALSE
0	0	FALSE	4.457134	0	FALSE	3.4	"excellent"	9.847222	1.098612	16	18.86242	"male"	FALSE	FALSE
2	0	FALSE	4.457134	0	FALSE	27.6	"good"	9.847222	1.098612	15	49.28405	"male"	FALSE	FALSE
1	0	FALSE	4.457134	0	FALSE	27.6	"good"	9.847222	1.098612	15	50.28405	"male"	FALSE	FALSE
2	0	FALSE	4.457134	0	FALSE	27.6	"good"	9.847222	1.098612	15	51.28405	"male"	FALSE	FALSE
2	4.564348	TRUE	6.708963	6.160541	FALSE	20.7	"excellent"	9.664895	1.386294	16	33.6345	"female"	FALSE	FALSE
1	4.564348	TRUE	6.708963	6.160541	FALSE	20.7	"excellent"	9.664895	1.386294	16	34.6345	"female"	FALSE	FALSE
3	4.564348	TRUE	6.708963	6.160541	FALSE	20.7	"excellent"	9.664895	1.386294	16	35.6345	"female"	FALSE	FALSE
3	4.564348	TRUE	6.708963	6.160541	FALSE	10.57626	"excellent"	9.664895	1.386294	16	8.281999	"female"	TRUE	FALSE
1	4.564348	TRUE	6.708963	6.160541	FALSE	10.57626	"excellent"	9.664895	1.386294	16	9.281999	"female"	TRUE	FALSE
3	4.564348	TRUE	6.708963	6.160541	FALSE	10.57626	"excellent"	9.664895	1.386294	16	10.282	"female"	TRUE	FALSE
3	4.564348	TRUE	6.708963	6.160541	FALSE	10.3	"excellent"	9.664895	1.386294	17	36.79398	"male"	FALSE	FALSE
0	4.564348	TRUE	6.708963	6.160541	FALSE	10.3	"excellent"	9.664895	1.386294	17	37.79398	"male"	FALSE	FALSE
3	4.564348	TRUE	6.708963	6.160541	FALSE	10.3	"excellent"	9.664895	1.386294	17	38.79398	"male"	FALSE	FALSE
7	4.564348	TRUE	6.708963	6.160541	FALSE	10.57626	"excellent"	9.664895	1.386294	16	3.192334	"female"	TRUE	FALSE
3	4.564348	TRUE	6.708963	6.160541	FALSE	10.57626	"excellent"	9.664895	1.386294	16	4.192334	"female"	TRUE	FALSE
3	4.564348	TRUE	6.708963	6.160541	FALSE	10.57626	"excellent"	9.664895	1.386294	16	5.192334	"female"	TRUE	FALSE
4	0	FALSE	6.370175	0	TRUE	31	"poor"	0	0	8	50.15195	"female"	FALSE	FALSE
0	0	FALSE	6.370175	0	TRUE	31	"poor"	0	0	8	51.15195	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.0812	1.098612	11	31.8987	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.0812	1.386294	11	32.8987	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.0812	1.386294	11	33.8987	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.0812	1.098612	13	30.23135	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.0812	1.386294	13	31.23135	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.0812	1.386294	13	32.23135	"female"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.0812	1.098612	13	4.665298	"male"	TRUE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.0812	1.386294	13	5.665298	"male"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.0812	1.386294	13	6.665298	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.609438	10	37.50856	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.791759	10	39.50856	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.609438	10	40.50856	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.609438	10	41.50856	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.609438	12	8.427105	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.386294	12	9.427105	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.791759	12	10.4271	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.609438	12	11.4271	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.609438	12	12.4271	"female"	TRUE	TRUE
11	0	FALSE	0	0	TRUE	17.2	"fair"	9.294374	1.609438	12	36.70636	"female"	FALSE	TRUE
21	0	FALSE	0	0	TRUE	17.2	"fair"	9.294374	1.386294	12	37.70636	"female"	FALSE	TRUE
19	0	FALSE	0	0	TRUE	17.2	"fair"	9.294374	1.791759	12	38.70636	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.609438	12	8.427105	"female"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.386294	12	9.427105	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.791759	12	10.4271	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.609438	12	11.4271	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	9.294374	1.609438	12	12.4271	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.609438	12	16.74196	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.791759	12	18.74196	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.609438	12	19.74196	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	6.9	"fair"	9.294374	1.609438	12	20.74196	"female"	FALSE	TRUE
8	0	FALSE	0	0	TRUE	10.3	"excellent"	8.815269	0	4	58.79808	"male"	FALSE	TRUE
4	0	FALSE	0	0	TRUE	10.3	"excellent"	8.815269	0	4	59.79808	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.3	"excellent"	8.815269	0	4	60.79808	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.609438	10	2.951403	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.791759	10	3.951403	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.791759	10	4.951403	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.609438	10	6.075291	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.791759	10	7.075291	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.791759	10	8.075291	"male"	TRUE	TRUE
3	4.564348	TRUE	5.010635	6.160541	FALSE	3.4	"good"	7.447335	1.609438	10	23.19233	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	3.4	"good"	7.447335	1.791759	10	24.19233	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	3.4	"good"	7.447335	1.791759	10	25.19233	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	3.4	"poor"	7.447335	1.609438	12	26.72964	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	3.4	"poor"	7.447335	1.791759	12	27.72964	"male"	FALSE	TRUE
2	4.564348	TRUE	5.010635	6.160541	FALSE	3.4	"poor"	7.447335	1.791759	12	28.72964	"male"	FALSE	TRUE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.609438	10	7.405886	"male"	TRUE	TRUE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.791759	10	8.405887	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	7.447335	1.791759	10	9.405887	"male"	TRUE	TRUE
2	3.931826	FALSE	6.276455	6.969603	FALSE	0	"excellent"	7.734065	0	9	37.08693	"male"	FALSE	FALSE
0	3.931826	FALSE	6.276455	6.969603	FALSE	0	"excellent"	7.734065	0	9	38.08693	"male"	FALSE	FALSE
2	3.931826	FALSE	6.276455	6.969603	FALSE	0	"excellent"	7.734065	0	9	39.08693	"male"	FALSE	FALSE
1	3.931826	FALSE	6.276455	6.969603	FALSE	0	"excellent"	7.734065	0	9	40.08693	"male"	FALSE	FALSE
2	3.931826	FALSE	6.276455	6.969603	FALSE	0	"excellent"	7.734065	0	9	41.08693	"male"	FALSE	FALSE
4	0	FALSE	5.377498	0	FALSE	17.2	"poor"	8.815269	1.94591	6	35.44422	"female"	FALSE	FALSE
10	0	FALSE	5.377498	0	FALSE	17.2	"poor"	8.815269	1.94591	6	36.44422	"female"	FALSE	FALSE
4	0	FALSE	5.377498	0	FALSE	17.2	"poor"	8.815269	2.079442	6	37.44422	"female"	FALSE	FALSE
1	0	FALSE	5.377498	0	FALSE	27.6	"good"	8.815269	1.94591	5	43.05544	"male"	FALSE	FALSE
3	0	FALSE	5.377498	0	FALSE	27.6	"good"	8.815269	1.94591	5	44.05544	"male"	FALSE	FALSE
3	0	FALSE	5.377498	0	FALSE	27.6	"good"	8.815269	2.079442	5	45.05544	"male"	FALSE	FALSE
2	0	FALSE	5.377498	0	FALSE	10.57626	"poor"	8.815269	1.94591	6	4.580424	"male"	TRUE	FALSE
6	0	FALSE	5.377498	0	FALSE	10.57626	"poor"	8.815269	1.94591	6	5.580424	"male"	TRUE	FALSE
6	0	FALSE	5.377498	0	FALSE	10.57626	"poor"	8.815269	2.079442	6	6.580424	"male"	TRUE	FALSE
0	0	FALSE	5.377498	0	FALSE	0	"excellent"	8.815269	1.94591	7	18.22313	"male"	FALSE	FALSE
0	0	FALSE	5.377498	0	FALSE	0	"excellent"	8.815269	2.079442	7	20.22313	"male"	FALSE	FALSE
3	0	FALSE	5.377498	0	FALSE	3.4	"good"	8.815269	1.94591	6	14.40931	"female"	TRUE	FALSE
7	0	FALSE	5.377498	0	FALSE	3.4	"good"	8.815269	1.94591	6	15.40931	"female"	TRUE	FALSE
1	0	FALSE	5.377498	0	FALSE	3.4	"good"	8.815269	2.079442	6	16.40931	"female"	TRUE	FALSE
2	0	FALSE	5.377498	0	FALSE	10.57626	"excellent"	8.815269	1.94591	6	9.831622	"male"	TRUE	FALSE
1	0	FALSE	5.377498	0	FALSE	10.57626	"excellent"	8.815269	1.94591	6	10.83162	"male"	TRUE	FALSE
1	0	FALSE	5.377498	0	FALSE	10.57626	"excellent"	8.815269	2.079442	6	11.83162	"male"	TRUE	FALSE
2	0	FALSE	5.377498	0	FALSE	3.4	"good"	8.815269	1.94591	6	17.13621	"male"	TRUE	FALSE
0	0	FALSE	5.377498	0	FALSE	3.4	"good"	8.815269	1.94591	6	18.13621	"male"	FALSE	FALSE
0	0	FALSE	5.377498	0	FALSE	3.4	"good"	8.815269	2.079442	6	19.13621	"male"	FALSE	FALSE
4	4.564348	FALSE	5.898527	5.94982	TRUE	17.2	"poor"	8.815269	0	3	55.93429	"female"	FALSE	TRUE
0	4.564348	FALSE	5.898527	5.94982	TRUE	17.2	"poor"	8.815269	0	3	56.93429	"female"	FALSE	TRUE
1	4.564348	FALSE	5.898527	5.94982	TRUE	17.2	"poor"	8.815269	0	3	57.93429	"female"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	0	"fair"	8.778332	2.079442	12	39.20876	"male"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	0	"fair"	8.778332	2.079442	12	40.20876	"male"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	0	"fair"	8.778332	2.079442	12	41.20876	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	10.80904	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	11.80904	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	12.80904	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.3	"good"	8.778332	2.079442	12	14.48323	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.778332	2.079442	12	15.48323	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.778332	2.079442	12	16.48323	"male"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	3.249829	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	4.249829	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	5.249829	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.778332	2.079442	12	39.19507	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.778332	2.079442	12	40.19507	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	3.4	"fair"	8.778332	2.079442	12	41.19507	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	7.764545	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	8.764544	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	9.764544	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	12.2601	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	13.2601	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.778332	2.079442	12	14.2601	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.778332	2.079442	12	15.436	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.778332	2.079442	12	16.436	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.778332	2.079442	12	17.436	"female"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.474945	0.6931472	14	56.2026	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.474945	0.6931472	14	57.2026	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.474945	0.6931472	14	58.2026	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.474945	0.6931472	14	59.2026	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.474945	0.6931472	14	60.2026	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.474945	0.6931472	17	44.11225	"female"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.474945	0.6931472	17	45.11225	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.474945	0.6931472	17	46.11225	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.474945	0.6931472	17	47.11225	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	9.474945	0.6931472	17	48.11225	"female"	FALSE	FALSE
1	4.564348	TRUE	5.163185	6.160541	TRUE	10.57626	"good"	8.650452	1.386294	8	5.040383	"male"	TRUE	FALSE
0	4.564348	TRUE	5.163185	6.160541	TRUE	10.57626	"good"	8.650452	1.386294	8	6.040383	"male"	TRUE	FALSE
0	4.564348	TRUE	5.163185	6.160541	TRUE	10.57626	"good"	8.650452	1.386294	8	7.040383	"male"	TRUE	FALSE
1	4.564348	TRUE	5.163185	6.160541	TRUE	10.57626	"good"	8.650452	1.386294	8	11.95893	"female"	TRUE	FALSE
0	4.564348	TRUE	5.163185	6.160541	TRUE	10.57626	"good"	8.650452	1.386294	8	12.95893	"female"	TRUE	FALSE
0	4.564348	TRUE	5.163185	6.160541	TRUE	10.57626	"good"	8.650452	1.386294	8	13.95893	"female"	TRUE	FALSE
7	4.564348	TRUE	5.163185	6.160541	FALSE	20.7	"good"	8.650452	1.386294	8	27.60027	"female"	FALSE	FALSE
1	4.564348	TRUE	5.163185	6.160541	FALSE	20.7	"good"	8.650452	1.386294	8	28.60027	"female"	FALSE	FALSE
0	4.564348	TRUE	5.163185	6.160541	FALSE	20.7	"good"	8.650452	1.386294	8	29.60027	"female"	FALSE	FALSE
0	4.564348	TRUE	5.163185	6.160541	FALSE	13.8	"good"	8.650452	1.386294	8	31.51814	"male"	FALSE	FALSE
0	4.564348	TRUE	5.163185	6.160541	FALSE	13.8	"good"	8.650452	1.386294	8	32.51814	"male"	FALSE	FALSE
0	4.564348	TRUE	5.163185	6.160541	FALSE	13.8	"good"	8.650452	1.386294	8	33.51814	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.783438	2.079442	12	15.82478	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"good"	8.783438	2.079442	12	16.82478	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	0	"good"	8.783438	2.079442	10	18.00411	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	0	"good"	8.783438	2.079442	10	19.00411	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	TRUE	0	"good"	8.783438	1.94591	10	20.00411	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	0	"good"	8.783438	1.94591	10	21.00411	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	0	"good"	8.783438	1.94591	10	22.00411	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	4.572211	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	5.572211	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	6.572211	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	7.572211	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	8.572211	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	11.24709	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	12.24709	"female"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	13.24709	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	14.24709	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	15.24709	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	12.71732	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	13.71732	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	14.71732	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	15.71732	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	16.71732	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	9.267625	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	2.079442	12	10.26762	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	11.26762	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	12.26762	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.783438	1.94591	12	13.26762	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"fair"	8.783438	2.079442	7	54.0178	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"fair"	8.783438	2.079442	7	55.0178	"male"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"fair"	8.783438	1.94591	7	56.0178	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"fair"	8.783438	1.94591	7	57.0178	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	3.4	"fair"	8.783438	1.94591	7	58.0178	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.783438	2.079442	12	43.9562	"female"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.783438	2.079442	12	44.9562	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.783438	1.94591	12	45.9562	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.783438	1.94591	12	46.9562	"female"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	8.783438	1.94591	12	47.9562	"female"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	10.57626	"fair"	8.815269	1.609438	7	4.695414	"male"	TRUE	TRUE
1	4.564348	FALSE	6.436151	5.741653	FALSE	10.57626	"fair"	8.815269	1.609438	7	5.695414	"male"	TRUE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	10.57626	"fair"	8.815269	1.609438	7	6.695414	"male"	TRUE	TRUE
0	4.564348	FALSE	6.436151	5.741653	TRUE	13.8	"good"	8.815269	1.609438	1	47.14579	"male"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	TRUE	13.8	"good"	8.815269	1.609438	1	48.14579	"male"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	TRUE	13.8	"good"	8.815269	1.609438	1	49.14579	"male"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	0	"fair"	8.815269	1.609438	8	19.84121	"male"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	0	"fair"	8.815269	1.609438	8	20.84121	"male"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	0	"fair"	8.815269	1.609438	8	21.84121	"male"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	10.57626	"fair"	8.815269	1.609438	7	10.03149	"male"	TRUE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	10.57626	"fair"	8.815269	1.609438	7	11.03149	"male"	TRUE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	10.57626	"fair"	8.815269	1.609438	7	12.03149	"male"	TRUE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	6.9	"fair"	8.815269	1.609438	7	42.2204	"female"	FALSE	TRUE
1	4.564348	FALSE	6.436151	5.741653	FALSE	6.9	"fair"	8.815269	1.609438	7	43.2204	"female"	FALSE	TRUE
0	4.564348	FALSE	6.436151	5.741653	FALSE	6.9	"fair"	8.815269	1.609438	7	44.2204	"female"	FALSE	TRUE
0	4.564348	FALSE	6.55108	6.602374	TRUE	27.6	"excellent"	9.086679	1.609438	8	25.42642	"female"	FALSE	FALSE
1	4.564348	FALSE	6.55108	6.602374	TRUE	27.6	"excellent"	9.086679	1.609438	8	26.42642	"female"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	TRUE	27.6	"excellent"	9.086679	1.609438	8	27.42642	"female"	FALSE	FALSE
4	4.564348	FALSE	6.55108	6.602374	TRUE	27.6	"excellent"	9.086679	1.609438	8	28.42642	"female"	FALSE	FALSE
2	4.564348	FALSE	6.55108	6.602374	TRUE	27.6	"excellent"	9.086679	1.609438	8	29.42642	"female"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	5.733059	"male"	TRUE	FALSE
1	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	6.733059	"male"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	7.733059	"male"	TRUE	FALSE
1	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	8.73306	"male"	TRUE	FALSE
1	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	9.73306	"male"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	TRUE	6.9	"excellent"	9.086679	1.609438	9	30.05339	"male"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	TRUE	6.9	"excellent"	9.086679	1.609438	9	31.05339	"male"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	TRUE	6.9	"excellent"	9.086679	1.609438	9	32.05339	"male"	FALSE	FALSE
1	4.564348	FALSE	6.55108	6.602374	TRUE	6.9	"excellent"	9.086679	1.609438	9	33.05339	"male"	FALSE	FALSE
0	4.564348	FALSE	6.55108	6.602374	TRUE	6.9	"excellent"	9.086679	1.609438	9	34.05339	"male"	FALSE	FALSE
1	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	7.15948	"female"	TRUE	FALSE
2	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	8.15948	"female"	TRUE	FALSE
4	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	9.15948	"female"	TRUE	FALSE
1	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	10.15948	"female"	TRUE	FALSE
2	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	11.15948	"female"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	3.989048	"male"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	4.989048	"male"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	5.989048	"male"	TRUE	FALSE
0	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	6.989048	"male"	TRUE	FALSE
2	4.564348	FALSE	6.55108	6.602374	FALSE	10.57626	"excellent"	9.086679	1.609438	8	7.989048	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.956731	1.098612	9	4.971937	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.956731	1.098612	9	5.971937	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.956731	1.098612	9	6.971937	"male"	TRUE	FALSE
5	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.956731	1.098612	9	7.971937	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.956731	1.098612	9	8.971937	"male"	TRUE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.956731	1.098612	9	26.32717	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.956731	1.098612	9	27.32717	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.956731	1.098612	9	28.32717	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.956731	1.098612	9	29.32717	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"excellent"	8.956731	1.098612	9	30.32717	"female"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.956731	1.098612	11	28.98836	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.956731	1.098612	11	29.98836	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.956731	1.098612	11	30.98836	"male"	FALSE	FALSE
3	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.956731	1.098612	11	31.98836	"male"	FALSE	FALSE
2	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"excellent"	8.956731	1.098612	11	32.98837	"male"	FALSE	FALSE
0	4.564348	TRUE	6.115627	6.160541	TRUE	10.57626	"good"	8.296728	1.098612	2	12.0219	"female"	TRUE	TRUE
1	4.564348	TRUE	6.115627	6.160541	TRUE	10.57626	"good"	8.296728	1.098612	2	13.0219	"female"	TRUE	TRUE
0	4.564348	TRUE	6.115627	6.160541	TRUE	10.57626	"good"	8.296728	1.098612	2	14.0219	"female"	TRUE	TRUE
3	4.564348	TRUE	6.115627	6.160541	FALSE	10.3	"good"	8.296728	1.098612	2	53.10062	"female"	FALSE	TRUE
0	4.564348	TRUE	6.115627	6.160541	FALSE	10.3	"good"	8.296728	1.098612	2	54.10062	"female"	FALSE	TRUE
0	4.564348	TRUE	6.115627	6.160541	FALSE	10.3	"good"	8.296728	1.098612	2	55.10062	"female"	FALSE	TRUE
20	4.564348	TRUE	6.115627	6.160541	TRUE	3.4	"good"	8.296728	1.098612	4	56.72553	"male"	FALSE	TRUE
0	4.564348	TRUE	6.115627	6.160541	TRUE	3.4	"good"	8.296728	1.098612	4	57.72553	"male"	FALSE	TRUE
2	4.564348	TRUE	6.115627	6.160541	TRUE	3.4	"good"	8.296728	1.098612	4	58.72553	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	8.424435	1.098612	10.62774	26.09446	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	8.424435	1.386294	10.62774	27.09446	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	8.424435	1.386294	10.62774	28.09446	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"good"	9.258136	1.609438	12	5.100616	"male"	TRUE	FALSE
8	0	FALSE	0	0	FALSE	10.57626	"good"	9.258136	1.609438	12	6.100616	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"good"	9.258136	1.609438	12	7.100616	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"good"	9.258136	1.609438	12	8.100616	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	10.57626	"good"	9.258136	1.609438	12	9.100616	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	1.486653	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	2.486653	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	3.486653	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	4.486653	"male"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	5.486653	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.258136	1.609438	14	29.25667	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.258136	1.609438	14	30.25667	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"good"	9.258136	1.609438	14	31.25667	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	9.258136	1.609438	14	32.25667	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	6.9	"good"	9.258136	1.609438	14	33.25667	"male"	FALSE	FALSE
8	0	FALSE	0	0	TRUE	13.8	"good"	9.258136	1.609438	12	26.93771	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	13.8	"good"	9.258136	1.609438	12	27.93771	"female"	FALSE	FALSE
6	0	FALSE	0	0	TRUE	13.8	"good"	9.258136	1.609438	12	28.93771	"female"	FALSE	FALSE
5	0	FALSE	0	0	TRUE	13.8	"good"	9.258136	1.609438	12	29.93771	"female"	FALSE	FALSE
4	0	FALSE	0	0	TRUE	13.8	"good"	9.258136	1.609438	12	30.93771	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	7.00616	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	8.00616	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	9.00616	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	10.00616	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.258136	1.609438	12	11.00616	"female"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	8.815269	0.6931472	12	52.92539	"female"	FALSE	FALSE
12	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	8.815269	0.6931472	12	53.92539	"female"	FALSE	FALSE
21	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	8.815269	0.6931472	12	54.92539	"female"	FALSE	FALSE
18	3.258096	FALSE	6.620073	8.006368	TRUE	20.7	"good"	8.815269	0.6931472	12	55.92539	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	0.6931472	7	51.04175	"male"	FALSE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	0.6931472	7	52.04175	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	0.6931472	7	53.04175	"male"	FALSE	FALSE
15	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	0.6931472	7	54.04175	"male"	FALSE	FALSE
14	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	0	7	55.04175	"male"	FALSE	FALSE
1	0	FALSE	5.827062	0	FALSE	20.7	"good"	9.671568	0.6931472	16	54.79808	"male"	FALSE	FALSE
2	0	FALSE	5.827062	0	FALSE	20.7	"good"	9.671568	0.6931472	16	55.79808	"male"	FALSE	FALSE
1	0	FALSE	5.827062	0	FALSE	20.7	"good"	9.671568	0.6931472	16	56.79808	"male"	FALSE	FALSE
4	0	FALSE	5.827062	0	FALSE	20.7	"good"	9.671568	0.6931472	21	52.79671	"female"	FALSE	FALSE
6	0	FALSE	5.827062	0	FALSE	20.7	"good"	9.671568	0.6931472	21	53.79671	"female"	FALSE	FALSE
7	0	FALSE	5.827062	0	FALSE	20.7	"good"	9.671568	0.6931472	21	54.79671	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.080209	1.098612	16	26.2642	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.080209	1.098612	16	27.2642	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	9.080209	1.098612	16	28.2642	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.080209	1.098612	16	27.34018	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.080209	1.098612	16	28.34018	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.080209	1.098612	16	29.34018	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	6.9	"good"	8.977547	1.098612	16	26.15195	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"good"	8.977547	1.098612	16	27.15195	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.977547	1.386294	16	28.15195	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"excellent"	8.977547	1.098612	15	25.03217	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	17.2	"excellent"	8.977547	1.098612	15	26.03217	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	17.2	"excellent"	8.977547	1.386294	15	27.03217	"female"	FALSE	FALSE
4	0	FALSE	5.567428	0	FALSE	10.3	"good"	9.612453	0.6931472	12	54.42026	"male"	FALSE	FALSE
0	0	FALSE	5.567428	0	FALSE	10.3	"good"	9.612453	0.6931472	12	55.42026	"male"	FALSE	FALSE
2	0	FALSE	5.567428	0	FALSE	10.3	"good"	9.612453	0.6931472	12	56.42026	"male"	FALSE	FALSE
8	0	FALSE	5.567428	0	FALSE	20.7	"good"	9.612453	0.6931472	12	50.26968	"female"	FALSE	FALSE
8	0	FALSE	5.567428	0	FALSE	20.7	"good"	9.612453	0.6931472	12	51.26968	"female"	FALSE	FALSE
7	0	FALSE	5.567428	0	FALSE	20.7	"good"	9.612453	0.6931472	12	52.26968	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	37.9	"fair"	9.392831	0.6931472	9	46.84463	"female"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	37.9	"fair"	9.392831	0.6931472	9	47.84463	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	TRUE	37.9	"fair"	9.392831	0.6931472	9	48.84463	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.392831	0.6931472	8	53.24572	"male"	FALSE	FALSE
9	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.392831	0.6931472	8	54.24572	"male"	FALSE	FALSE
8	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	9.392831	0.6931472	8	55.24572	"male"	FALSE	FALSE
2	3.258096	FALSE	6.343529	7.729823	FALSE	13.8	"good"	8.127872	1.098612	12	38.20671	"female"	FALSE	FALSE
1	3.258096	FALSE	6.343529	7.729823	FALSE	13.8	"good"	8.127872	1.098612	12	39.20671	"female"	FALSE	FALSE
0	3.258096	FALSE	6.343529	7.729823	FALSE	13.8	"good"	8.127872	1.098612	12	40.20671	"female"	FALSE	FALSE
0	3.258096	FALSE	6.343529	7.729823	FALSE	10.57626	"good"	8.127872	1.098612	12	14.5024	"male"	TRUE	FALSE
0	3.258096	FALSE	6.343529	7.729823	FALSE	10.57626	"good"	8.127872	1.098612	12	15.5024	"male"	TRUE	FALSE
0	3.258096	FALSE	6.343529	7.729823	FALSE	10.57626	"good"	8.127872	1.098612	12	16.5024	"male"	TRUE	FALSE
4	3.258096	FALSE	6.343529	7.729823	FALSE	3.4	"good"	8.127872	1.098612	12	17.38809	"female"	TRUE	FALSE
2	3.258096	FALSE	6.343529	7.729823	FALSE	3.4	"good"	8.127872	1.098612	12	18.38809	"female"	FALSE	FALSE
4	3.258096	FALSE	6.343529	7.729823	FALSE	3.4	"good"	8.127872	1.098612	12	19.38809	"female"	FALSE	FALSE
0	0	FALSE	5.259992	0	FALSE	6.9	"excellent"	8.995099	0.6931472	14	54.42026	"male"	FALSE	FALSE
3	0	FALSE	5.259992	0	FALSE	6.9	"excellent"	8.995099	0.6931472	14	55.42026	"male"	FALSE	FALSE
2	0	FALSE	5.259992	0	FALSE	6.9	"excellent"	8.995099	0.6931472	14	56.42026	"male"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	10.3	"good"	8.995099	0.6931472	13	57.92471	"female"	FALSE	FALSE
8	0	FALSE	5.259992	0	FALSE	10.3	"good"	8.995099	0.6931472	13	58.92471	"female"	FALSE	FALSE
5	0	FALSE	5.259992	0	FALSE	10.3	"good"	8.995099	0.6931472	13	59.92471	"female"	FALSE	FALSE
1	0	FALSE	5.029653	0	FALSE	3.4	"fair"	8.815269	1.386294	11	18.9514	"female"	FALSE	TRUE
0	0	FALSE	5.029653	0	FALSE	3.4	"fair"	8.815269	1.386294	11	19.9514	"female"	FALSE	TRUE
1	0	FALSE	5.029653	0	FALSE	3.4	"fair"	8.815269	1.386294	11	20.9514	"female"	FALSE	TRUE
2	0	FALSE	5.029653	0	FALSE	3.4	"fair"	8.815269	1.098612	11	21.9514	"female"	FALSE	TRUE
0	0	FALSE	5.029653	0	FALSE	3.4	"fair"	8.815269	1.386294	11	22.9514	"female"	FALSE	TRUE
1	0	FALSE	5.029653	0	TRUE	10.3	"poor"	8.815269	1.386294	7	56.27926	"female"	FALSE	TRUE
15	0	FALSE	5.029653	0	TRUE	10.3	"poor"	8.815269	1.386294	7	57.27926	"female"	FALSE	TRUE
2	0	FALSE	5.029653	0	TRUE	10.3	"poor"	8.815269	1.386294	7	58.27926	"female"	FALSE	TRUE
1	0	FALSE	5.029653	0	TRUE	10.3	"poor"	8.815269	1.098612	7	59.27926	"female"	FALSE	TRUE
2	0	FALSE	5.029653	0	TRUE	10.3	"poor"	8.815269	1.386294	7	60.27926	"female"	FALSE	TRUE
0	0	FALSE	5.029653	0	FALSE	13.8	"poor"	8.815269	1.386294	1.5	58.60369	"male"	FALSE	TRUE
1	0	FALSE	5.029653	0	FALSE	13.8	"poor"	8.815269	1.386294	1.5	59.60369	"male"	FALSE	TRUE
0	0	FALSE	5.029653	0	FALSE	13.8	"poor"	8.815269	1.386294	1.5	60.60369	"male"	FALSE	TRUE
0	0	FALSE	5.029653	0	FALSE	13.8	"poor"	8.815269	1.098612	1.5	61.60369	"male"	FALSE	TRUE
0	0	FALSE	5.029653	0	FALSE	13.8	"poor"	8.815269	1.386294	1.5	62.60369	"male"	FALSE	TRUE
6	4.564348	TRUE	6.767757	6.160541	TRUE	24.1	"fair"	9.128146	1.098612	13	30.91855	"female"	FALSE	FALSE
22	4.564348	TRUE	6.767757	6.160541	TRUE	24.1	"fair"	9.128146	1.098612	13	31.91855	"female"	FALSE	FALSE
13	4.564348	TRUE	6.767757	6.160541	TRUE	24.1	"fair"	9.128146	1.098612	13	32.91855	"female"	FALSE	FALSE
2	4.564348	TRUE	6.767757	6.160541	FALSE	0	"excellent"	9.128146	1.098612	14	33.54141	"male"	FALSE	FALSE
0	4.564348	TRUE	6.767757	6.160541	FALSE	0	"excellent"	9.128146	1.098612	14	34.54141	"male"	FALSE	FALSE
0	4.564348	TRUE	6.767757	6.160541	FALSE	0	"excellent"	9.128146	1.098612	14	35.54141	"male"	FALSE	FALSE
2	4.564348	TRUE	6.767757	6.160541	FALSE	10.57626	"excellent"	9.128146	1.098612	13	11.98357	"male"	TRUE	FALSE
4	4.564348	TRUE	6.767757	6.160541	FALSE	10.57626	"excellent"	9.128146	1.098612	13	12.98357	"male"	TRUE	FALSE
1	4.564348	TRUE	6.767757	6.160541	FALSE	10.57626	"excellent"	9.128146	1.098612	13	13.98357	"male"	TRUE	FALSE
0	0	FALSE	5.259992	0	TRUE	20.7	"good"	9.222552	1.098612	12	41.06776	"female"	FALSE	FALSE
3	0	FALSE	5.259992	0	TRUE	20.7	"good"	9.222552	1.098612	12	42.06776	"female"	FALSE	FALSE
0	0	FALSE	5.259992	0	TRUE	20.7	"good"	9.222552	1.098612	12	43.06776	"female"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	6.9	"excellent"	9.222552	1.098612	12	14.14647	"female"	TRUE	FALSE
0	0	FALSE	5.259992	0	FALSE	6.9	"excellent"	9.222552	1.098612	12	15.14647	"female"	TRUE	FALSE
1	0	FALSE	5.259992	0	FALSE	6.9	"excellent"	9.222552	1.098612	12	16.14647	"female"	TRUE	FALSE
6	0	FALSE	5.259992	0	TRUE	20.7	"good"	9.222552	1.098612	6	46.07803	"male"	FALSE	FALSE
4	0	FALSE	5.259992	0	TRUE	20.7	"good"	9.222552	1.098612	6	47.07803	"male"	FALSE	FALSE
3	0	FALSE	5.259992	0	TRUE	20.7	"good"	9.222552	1.098612	6	48.07803	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.047816	0	12	22.10267	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.047816	0	12	23.10267	"female"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	8.047816	0	12	24.10267	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	9.378955	0.6931472	12	20.30664	"female"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	9.378955	0.6931472	12	21.30664	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	9.378955	0.6931472	12	22.30664	"female"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.658242	1.098612	12	13.49487	"female"	TRUE	FALSE
2	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.658242	1.098612	12	14.49487	"female"	TRUE	FALSE
3	0	FALSE	5.259992	0	FALSE	10.57626	"good"	9.658242	1.098612	12	15.49487	"female"	TRUE	FALSE
1	0	FALSE	5.259992	0	FALSE	3.4	"good"	9.658242	1.098612	12	17.34976	"male"	TRUE	FALSE
1	0	FALSE	5.259992	0	FALSE	3.4	"good"	9.658242	1.098612	12	18.34976	"male"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	3.4	"good"	9.658242	1.098612	12	19.34976	"male"	FALSE	FALSE
1	0	FALSE	5.259992	0	FALSE	3.4	"good"	9.658242	1.098612	12	44.01917	"female"	FALSE	FALSE
4	0	FALSE	5.259992	0	FALSE	3.4	"good"	9.658242	1.098612	12	45.01917	"female"	FALSE	FALSE
2	0	FALSE	5.259992	0	FALSE	3.4	"good"	9.658242	1.098612	12	46.01917	"female"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.079626	0.6931472	13	28.44901	"female"	FALSE	TRUE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.079626	0.6931472	13	29.44901	"female"	FALSE	TRUE
6	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	9.079626	0.6931472	13	30.44901	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	0	"excellent"	9.079626	0.6931472	17	31.57016	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	0	"excellent"	9.079626	0.6931472	17	32.57016	"male"	FALSE	TRUE
1	4.564348	TRUE	5.703783	5.755076	FALSE	0	"excellent"	9.079626	0.6931472	17	33.57016	"male"	FALSE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	8.22998	"female"	TRUE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	9.22998	"female"	TRUE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	10.22998	"female"	TRUE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	11.22998	"female"	TRUE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	12.22998	"female"	TRUE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.3	"excellent"	8.342031	1.098612	12	25.41821	"female"	FALSE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.3	"excellent"	8.342031	1.098612	12	26.41821	"female"	FALSE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.3	"excellent"	8.342031	1.098612	12	27.41821	"female"	FALSE	TRUE
1	3.258096	FALSE	5.204007	6.590301	FALSE	10.3	"excellent"	8.342031	1.098612	12	28.41821	"female"	FALSE	TRUE
2	3.258096	FALSE	5.204007	6.590301	FALSE	10.3	"excellent"	8.342031	1.098612	12	29.41821	"female"	FALSE	TRUE
2	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	5.801506	"female"	TRUE	TRUE
2	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	6.801506	"female"	TRUE	TRUE
0	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	7.801506	"female"	TRUE	TRUE
5	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	8.801506	"female"	TRUE	TRUE
3	3.258096	FALSE	5.204007	6.590301	FALSE	10.57626	"excellent"	8.342031	1.098612	12	9.801506	"female"	TRUE	TRUE
5	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	8.840482	1.386294	10	8.550308	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	8.840482	1.386294	10	9.550308	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	8.840482	1.386294	10	10.55031	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.840482	1.386294	10	27.30185	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.840482	1.386294	10	28.30185	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	8.840482	1.386294	10	29.30185	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.840482	1.386294	12	29.17454	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.840482	1.386294	12	30.17454	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	8.840482	1.386294	12	31.17454	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	7.471518	1.386294	9	6.16564	"female"	TRUE	TRUE
4	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	7.471518	1.386294	9	7.16564	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	7.471518	1.386294	9	8.16564	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.471518	1.386294	9	7.60575	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.471518	1.386294	9	8.605749	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	7.471518	1.386294	9	9.605749	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	TRUE	37.9	"fair"	7.471518	1.386294	9	42.70226	"female"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	TRUE	37.9	"fair"	7.471518	1.386294	9	43.70226	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	37.9	"fair"	7.471518	1.386294	9	44.70226	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.914532	1.791759	12	32.65709	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.914532	1.791759	12	33.65709	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.914532	1.791759	12	34.65709	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.914532	1.791759	9	33.31964	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.914532	1.791759	9	34.31964	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"excellent"	8.914532	1.791759	9	35.31964	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	12.98289	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	13.98289	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	14.98289	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	14.10541	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	15.10541	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	16.10541	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	8.188911	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	9.188911	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	10.18891	"female"	TRUE	FALSE
0	4.564348	FALSE	0	5.928188	FALSE	6.9	"good"	7.665334	0	12	36.24093	"female"	FALSE	TRUE
0	4.564348	FALSE	0	5.928188	FALSE	6.9	"good"	7.665334	0	12	37.24093	"female"	FALSE	TRUE
0	4.564348	FALSE	0	5.928188	FALSE	6.9	"good"	7.665334	0	12	38.24093	"female"	FALSE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	3.4	"good"	8.409249	1.94591	9	24.23545	"female"	FALSE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	3.4	"good"	8.409249	1.94591	9	25.23545	"female"	FALSE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	3.4	"good"	8.409249	1.94591	9	26.23545	"female"	FALSE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	3.876797	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	4.876797	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	5.876797	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	2.819986	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	3.819986	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	4.819986	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	13.8	"good"	8.409249	1.94591	10	26.00685	"male"	FALSE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	13.8	"good"	8.409249	1.94591	10	27.00685	"male"	FALSE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	13.8	"good"	8.409249	1.94591	10	28.00685	"male"	FALSE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	5.639973	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	6.639973	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	7.639973	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	6.554415	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	7.554415	"male"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	FALSE	10.57626	"good"	8.409249	1.94591	9	8.554415	"male"	TRUE	TRUE
2	4.564348	FALSE	4.393214	4.444507	FALSE	10.3	"fair"	7.495415	1.098612	12	25.56331	"female"	FALSE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.3	"fair"	7.495415	1.386294	12	26.56331	"female"	FALSE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.3	"fair"	7.495415	1.386294	12	27.56331	"female"	FALSE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.57626	"fair"	7.495415	1.098612	12	5.467488	"female"	TRUE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.57626	"fair"	7.495415	1.386294	12	6.467488	"female"	TRUE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.57626	"fair"	7.495415	1.386294	12	7.467488	"female"	TRUE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.57626	"excellent"	7.495415	1.098612	12	4.314853	"female"	TRUE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.57626	"excellent"	7.495415	1.386294	12	5.314853	"female"	TRUE	TRUE
0	4.564348	FALSE	4.393214	4.444507	FALSE	10.57626	"excellent"	7.495415	1.386294	12	6.314853	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.600903	TRUE	10.57626	"excellent"	8.815269	0.6931472	7	41.84258	"female"	FALSE	TRUE
14	3.931826	FALSE	0	7.600903	TRUE	10.57626	"excellent"	8.815269	0.6931472	7	42.84258	"female"	FALSE	TRUE
9	3.931826	FALSE	0	7.600903	TRUE	10.57626	"excellent"	8.815269	0	7	43.84258	"female"	FALSE	TRUE
0	3.931826	FALSE	0	7.600903	TRUE	10.57626	"excellent"	8.815269	0.6931472	8	19.17864	"male"	FALSE	TRUE
2	3.931826	FALSE	0	7.600903	TRUE	10.57626	"excellent"	8.815269	0.6931472	8	20.17864	"male"	FALSE	TRUE
13	0	FALSE	0	0	FALSE	3.4	"good"	8.963686	0.6931472	11	21.07324	"female"	FALSE	FALSE
18	0	FALSE	0	0	FALSE	3.4	"good"	8.963686	0.6931472	11	22.07324	"female"	FALSE	FALSE
16	0	FALSE	0	0	FALSE	3.4	"good"	8.963686	0.6931472	11	23.07324	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.963686	0.6931472	11	22.48323	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"good"	8.963686	0.6931472	11	23.48323	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	6.9	"good"	8.963686	0.6931472	11	24.48323	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.730207	0	7	57.54963	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.730207	0	7	58.54963	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	3.4	"good"	7.730207	0	7	59.54963	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	7.730207	0	7	60.54963	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	7.730207	0	7	61.54963	"male"	FALSE	FALSE
4	4.564348	FALSE	5.283711	5.335004	TRUE	24.1	"poor"	7.277479	0.6931472	6	47.32923	"female"	FALSE	TRUE
7	4.564348	FALSE	5.283711	5.335004	TRUE	24.1	"poor"	7.277479	0.6931472	6	48.32923	"female"	FALSE	TRUE
6	4.564348	FALSE	5.283711	5.335004	TRUE	24.1	"poor"	7.277479	0	6	49.32923	"female"	FALSE	TRUE
4	4.564348	FALSE	5.283711	5.335004	TRUE	24.1	"poor"	7.277479	0	6	50.32923	"female"	FALSE	TRUE
7	4.564348	FALSE	5.283711	5.335004	TRUE	24.1	"poor"	7.277479	0	6	51.32923	"female"	FALSE	TRUE
0	4.564348	FALSE	5.283711	5.335004	FALSE	20.7	"poor"	7.277479	0.6931472	12	22.37098	"female"	FALSE	TRUE
2	4.564348	FALSE	5.283711	5.335004	FALSE	20.7	"poor"	7.277479	0.6931472	12	23.37098	"female"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	17.2	"fair"	8.818597	0	12	31.50171	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"fair"	8.818597	0	12	32.50171	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"fair"	8.818597	0	12	33.50171	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	17.2	"fair"	8.818597	0	12	34.50171	"male"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	17.2	"fair"	8.818597	0	12	35.50171	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	24.1	"good"	8.626413	0	16	27.50171	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	24.1	"good"	8.626413	0	16	28.50171	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	24.1	"good"	8.626413	0	16	29.50171	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.711388	1.94591	8	8.621492	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.711388	1.94591	8	9.621492	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	8.711388	1.94591	8	10.62149	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	8.711388	1.94591	8	13.06229	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	8.711388	1.94591	8	14.06229	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"fair"	8.711388	1.94591	8	15.06229	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"fair"	8.711388	1.94591	8	14.89665	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"fair"	8.711388	1.94591	8	15.89665	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"fair"	8.711388	1.94591	8	16.89665	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"fair"	8.711388	1.94591	4	43.23614	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"fair"	8.711388	1.94591	4	44.23614	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"fair"	8.711388	1.94591	4	45.23614	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	8.711388	1.94591	8	5.982204	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	8.711388	1.94591	8	6.982204	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"good"	8.711388	1.94591	8	7.982204	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	31	"fair"	8.711388	1.94591	8	42.29158	"female"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	31	"fair"	8.711388	1.94591	8	43.29158	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	31	"fair"	8.711388	1.94591	8	44.29158	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.711388	1.94591	8	17.08693	"female"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.711388	1.94591	8	18.08693	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"good"	8.711388	1.94591	8	19.08693	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.178553	0.6931472	18	28.65161	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.178553	0.6931472	18	29.65161	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"excellent"	9.178553	0.6931472	18	30.65161	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	10.09323	1.098612	8	17.63724	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	10.09323	1.098612	8	18.63724	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	10.09323	1.098612	8	19.63724	"female"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	10.09323	1.098612	8	52.0438	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	10.09323	1.098612	8	53.0438	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	10.09323	1.098612	8	54.0438	"male"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"fair"	10.09323	1.098612	8	50.97604	"female"	FALSE	TRUE
18	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"fair"	10.09323	1.098612	8	51.97604	"female"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	TRUE	13.8	"fair"	10.09323	1.098612	8	52.97604	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	9.491432	1.386294	13	31.32923	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	9.491432	1.386294	13	32.32923	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	10.3	"excellent"	9.491432	1.386294	13	33.32923	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	6.9	"excellent"	9.491432	1.386294	16	32.24093	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.491432	1.386294	16	33.24093	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	6.9	"excellent"	9.491432	1.386294	16	34.24093	"male"	FALSE	FALSE
7	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.491432	1.386294	13	8.03833	"female"	TRUE	TRUE
12	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.491432	1.386294	13	9.03833	"female"	TRUE	TRUE
7	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.491432	1.386294	13	10.03833	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.208148	1.609438	5	13.05407	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.208148	1.609438	5	14.05407	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	8.208148	1.609438	5	15.05407	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"fair"	8.208148	1.609438	12	26.27515	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"fair"	8.208148	1.609438	12	27.27515	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	0	"fair"	8.208148	1.609438	12	28.27515	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.208148	1.609438	5	3.805613	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.208148	1.609438	5	4.805613	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"good"	8.208148	1.609438	5	5.805613	"male"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.208148	1.609438	5	14.88569	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.208148	1.609438	5	15.88569	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	13.8	"good"	8.208148	1.609438	5	16.88569	"female"	TRUE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"excellent"	8.208148	1.609438	5	60.15058	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"excellent"	8.208148	1.609438	5	61.15058	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"excellent"	8.208148	1.609438	5	62.15058	"female"	FALSE	FALSE
19	0	FALSE	5.444493	0	TRUE	37.9	"fair"	9.049474	0.6931472	3	51.25804	"female"	FALSE	FALSE
15	0	FALSE	5.444493	0	TRUE	37.9	"fair"	9.049474	0.6931472	3	52.25804	"female"	FALSE	FALSE
17	0	FALSE	5.444493	0	TRUE	37.9	"fair"	9.049474	0	3	53.25804	"female"	FALSE	FALSE
28	0	FALSE	5.444493	0	TRUE	20.7	"good"	9.049474	0.6931472	6	56.22998	"male"	FALSE	FALSE
32	0	FALSE	5.444493	0	TRUE	20.7	"good"	9.049474	0.6931472	6	57.22998	"male"	FALSE	FALSE
0	0	FALSE	3.178054	0	FALSE	0	"excellent"	9.290877	1.098612	12	25.94114	"male"	FALSE	FALSE
0	0	FALSE	3.178054	0	FALSE	0	"excellent"	9.290877	1.098612	12	26.94114	"male"	FALSE	FALSE
0	0	FALSE	3.178054	0	FALSE	0	"excellent"	9.290877	1.098612	12	27.94114	"male"	FALSE	FALSE
5	0	FALSE	3.178054	0	TRUE	27.6	"good"	9.290877	1.098612	12	25.99315	"female"	FALSE	FALSE
7	0	FALSE	3.178054	0	TRUE	27.6	"good"	9.290877	1.098612	12	26.99315	"female"	FALSE	FALSE
6	0	FALSE	3.178054	0	TRUE	27.6	"good"	9.290877	1.098612	12	27.99315	"female"	FALSE	FALSE
0	3.258096	FALSE	6.021509	6.918102	TRUE	24.1	"fair"	0	0	7	59.32375	"female"	FALSE	FALSE
0	3.258096	FALSE	6.021509	6.918102	TRUE	24.1	"fair"	0	0	7	60.32375	"female"	FALSE	FALSE
0	3.258096	FALSE	6.021509	6.918102	TRUE	24.1	"fair"	0	0	7	61.32375	"female"	FALSE	FALSE
0	3.931826	FALSE	5.753049	6.446196	FALSE	24.1	"fair"	7.700938	0.6931472	7	34.88022	"female"	FALSE	TRUE
1	3.931826	FALSE	5.753049	6.446196	FALSE	24.1	"fair"	7.700938	0.6931472	7	35.88022	"female"	FALSE	TRUE
0	3.931826	FALSE	5.753049	6.446196	FALSE	24.1	"fair"	7.700938	0	7	36.88022	"female"	FALSE	TRUE
0	3.931826	FALSE	5.753049	6.446196	TRUE	17.2	"good"	7.700938	0.6931472	7	15.55647	"female"	TRUE	TRUE
0	3.931826	FALSE	5.753049	6.446196	TRUE	17.2	"good"	7.700938	0.6931472	7	16.55647	"female"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.180982	1.386294	12	31.06366	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.180982	1.386294	12	32.06366	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.180982	1.386294	12	33.06366	"female"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.180982	1.386294	12	34.06366	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.180982	1.386294	12	35.06366	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	1.130732	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	2.130732	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	3.130732	"male"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	4.130733	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	5.130733	"male"	TRUE	FALSE
16	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	6.442163	"female"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	7.442163	"female"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	8.442163	"female"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	9.442163	"female"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.180982	1.386294	12	10.44216	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.180982	1.386294	12	31.06913	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.180982	1.386294	12	32.06913	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.180982	1.386294	12	33.06913	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.180982	1.386294	12	34.06913	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.180982	1.386294	12	35.06913	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.253774	1.609438	14	7.671458	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.253774	1.609438	14	8.671458	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.253774	1.609438	14	9.671458	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.253774	1.609438	14	38.82546	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.253774	1.609438	14	39.82546	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.253774	1.609438	14	40.82546	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.253774	1.609438	14	13.87269	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.253774	1.609438	14	14.87269	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.253774	1.609438	14	15.87269	"male"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"good"	9.253774	1.609438	14	34.28337	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"good"	9.253774	1.609438	14	35.28337	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"good"	9.253774	1.609438	14	36.28337	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.253774	1.609438	14	9.344285	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.253774	1.609438	14	10.34429	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.253774	1.609438	14	11.34429	"male"	TRUE	FALSE
0	0	FALSE	5.285232	0	FALSE	6.9	"excellent"	9.480666	1.098612	11	17.34155	"female"	TRUE	FALSE
1	0	FALSE	5.285232	0	FALSE	6.9	"excellent"	9.480666	1.098612	11	18.34155	"female"	FALSE	FALSE
2	0	FALSE	5.285232	0	FALSE	6.9	"excellent"	9.480666	1.098612	11	19.34155	"female"	FALSE	FALSE
1	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	9.480666	1.098612	11	38.66393	"female"	FALSE	FALSE
3	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	9.480666	1.098612	11	39.66393	"female"	FALSE	FALSE
2	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	9.480666	1.098612	11	40.66393	"female"	FALSE	FALSE
0	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	9.480666	1.098612	12	40.73101	"male"	FALSE	FALSE
0	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	9.480666	1.098612	12	41.73101	"male"	FALSE	FALSE
1	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	9.480666	1.098612	12	42.73101	"male"	FALSE	FALSE
2	0	FALSE	4.97231	0	FALSE	17.2	"good"	9.430631	1.098612	4	56.55305	"male"	FALSE	FALSE
0	0	FALSE	4.97231	0	FALSE	17.2	"good"	9.430631	1.098612	4	57.55305	"male"	FALSE	FALSE
0	0	FALSE	4.97231	0	FALSE	17.2	"good"	9.430631	1.098612	4	58.55305	"male"	FALSE	FALSE
0	0	FALSE	4.97231	0	FALSE	10.57626	"excellent"	9.430631	1.098612	12	11.56194	"female"	TRUE	FALSE
1	0	FALSE	4.97231	0	FALSE	10.57626	"excellent"	9.430631	1.098612	12	12.56194	"female"	TRUE	FALSE
0	0	FALSE	4.97231	0	FALSE	10.57626	"excellent"	9.430631	1.098612	12	13.56194	"female"	TRUE	FALSE
2	0	FALSE	4.97231	0	FALSE	31	"good"	9.430631	1.098612	12	48.13689	"female"	FALSE	FALSE
2	0	FALSE	4.97231	0	FALSE	31	"good"	9.430631	1.098612	12	49.13689	"female"	FALSE	FALSE
1	0	FALSE	4.97231	0	FALSE	31	"good"	9.430631	1.098612	12	50.13689	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.659374	1.386294	9	7.318275	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.659374	1.386294	9	8.318275	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.659374	1.386294	9	9.318275	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.659374	1.386294	12	35.66051	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.659374	1.386294	12	36.66051	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.659374	1.386294	12	37.66051	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.659374	1.386294	9	12.52293	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.659374	1.386294	9	13.52293	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.659374	1.386294	9	14.52293	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.659374	1.386294	9	34.20397	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.659374	1.386294	9	35.20397	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	8.659374	1.386294	9	36.20397	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"fair"	5.686659	0.6931472	5	59.91513	"female"	FALSE	TRUE
7	0	FALSE	0	0	FALSE	10.3	"fair"	5.686659	0.6931472	5	60.91513	"female"	FALSE	TRUE
13	0	FALSE	0	0	FALSE	10.3	"fair"	5.686659	0.6931472	5	61.91513	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"fair"	5.686659	0.6931472	5	17.94661	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	0	"fair"	5.686659	0.6931472	5	18.94661	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"fair"	5.686659	0.6931472	5	19.94661	"male"	FALSE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	0	"good"	8.815269	1.609438	12	25.39357	"male"	FALSE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	0	"good"	8.815269	1.609438	12	26.39357	"male"	FALSE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	0	"good"	8.815269	1.609438	12	27.39357	"male"	FALSE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"good"	8.815269	1.609438	11	5.262149	"female"	TRUE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"good"	8.815269	1.609438	11	6.262149	"female"	TRUE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"good"	8.815269	1.609438	11	7.262149	"female"	TRUE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	0	"good"	8.815269	1.609438	11	22.75428	"female"	FALSE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	0	"good"	8.815269	1.609438	11	23.75428	"female"	FALSE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	0	"good"	8.815269	1.609438	11	24.75428	"female"	FALSE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"excellent"	8.815269	1.609438	11	3.370294	"female"	TRUE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"excellent"	8.815269	1.609438	11	4.370294	"female"	TRUE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"excellent"	8.815269	1.609438	11	5.370294	"female"	TRUE	TRUE
1	0	FALSE	4.668708	0	TRUE	17.2	"good"	8.880224	2.564949	5	16.0575	"female"	TRUE	TRUE
3	0	FALSE	4.668708	0	TRUE	17.2	"good"	8.880224	2.564949	5	17.0575	"female"	TRUE	TRUE
2	0	FALSE	4.668708	0	TRUE	17.2	"good"	8.880224	2.639057	5	18.0575	"female"	FALSE	TRUE
1	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	5.702943	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	6.702943	"male"	TRUE	TRUE
2	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.639057	5	7.702943	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	10.12731	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	11.12731	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.639057	5	12.12731	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	13.8	"good"	8.880224	2.564949	5	14.81177	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	13.8	"good"	8.880224	2.564949	5	15.81177	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	13.8	"good"	8.880224	2.639057	5	16.81177	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	13.33333	"female"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	14.33333	"female"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.639057	5	15.33333	"female"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	5.702943	"male"	TRUE	TRUE
3	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	6.702943	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.639057	5	7.702943	"male"	TRUE	TRUE
2	0	FALSE	4.668708	0	FALSE	13.8	"good"	8.880224	2.564949	5	37.72758	"female"	FALSE	TRUE
3	0	FALSE	4.668708	0	FALSE	13.8	"good"	8.880224	2.564949	5	38.72758	"female"	FALSE	TRUE
4	0	FALSE	4.668708	0	FALSE	13.8	"good"	8.880224	2.639057	5	39.72758	"female"	FALSE	TRUE
1	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	7.975359	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	8.975359	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.639057	5	9.975359	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	3.389459	"female"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.564949	5	4.389459	"female"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"good"	8.880224	2.639057	5	5.389459	"female"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	3.4	"good"	8.880224	2.564949	4	43.18959	"male"	FALSE	TRUE
1	0	FALSE	4.668708	0	FALSE	3.4	"good"	8.880224	2.564949	4	44.18959	"male"	FALSE	TRUE
0	0	FALSE	4.668708	0	FALSE	3.4	"good"	8.880224	2.639057	4	45.18959	"male"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.723291	1.609438	11	5.741273	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.723291	1.609438	11	6.741273	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.723291	1.609438	11	7.741273	"male"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.723291	1.609438	12	45.10062	"male"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.723291	1.609438	12	46.10062	"male"	FALSE	TRUE
2	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.723291	1.609438	12	47.10062	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.723291	1.609438	11	13.6783	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.723291	1.609438	11	14.6783	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.723291	1.609438	11	15.6783	"female"	TRUE	TRUE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	8.723291	1.609438	11	4.517454	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	8.723291	1.609438	11	5.517454	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	8.723291	1.609438	11	6.517454	"female"	TRUE	TRUE
4	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.723291	1.609438	11	31.436	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.723291	1.609438	11	32.436	"female"	FALSE	TRUE
3	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	8.723291	1.609438	11	33.436	"female"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.459949	0	16	25.39357	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.459949	0	16	26.39357	"female"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.459949	0	16	27.39357	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.459949	0	16	28.39357	"female"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.459949	0	16	29.39357	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.127386	1.098612	8	36.12594	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.127386	1.098612	8	37.12594	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.127386	1.098612	8	38.12594	"male"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.127386	1.098612	8	39.12594	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.127386	1.098612	8	40.12594	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.127386	1.098612	9	12.90897	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.127386	1.098612	9	13.90897	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.127386	1.098612	9	14.90897	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.127386	1.098612	9	15.90897	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.127386	1.098612	9	16.90897	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.127386	1.098612	9	34.94045	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.127386	1.098612	9	35.94045	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.127386	1.098612	9	36.94045	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.127386	1.098612	9	37.94045	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	9.127386	1.098612	9	38.94045	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"good"	9.378955	0.6931472	12	27.0527	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"good"	9.378955	0.6931472	12	28.0527	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	10.3	"good"	9.378955	0.6931472	12	29.0527	"male"	FALSE	FALSE
10	4.564348	FALSE	6.50354	6.569703	FALSE	17.2	"good"	9.061542	0.6931472	16	27.24435	"female"	FALSE	FALSE
10	4.564348	FALSE	6.50354	6.569703	FALSE	17.2	"good"	9.061542	0.6931472	16	28.24435	"female"	FALSE	FALSE
5	4.564348	FALSE	6.50354	6.569703	FALSE	17.2	"good"	9.061542	1.098612	16	29.24435	"female"	FALSE	FALSE
4	4.564348	FALSE	6.50354	6.569703	FALSE	17.2	"good"	9.061542	1.098612	16	30.24435	"female"	FALSE	FALSE
2	4.564348	FALSE	6.50354	6.569703	FALSE	17.2	"good"	9.061542	1.098612	16	31.24435	"female"	FALSE	FALSE
0	4.564348	FALSE	6.50354	6.569703	FALSE	6.9	"excellent"	9.061542	0.6931472	16	30.23682	"male"	FALSE	FALSE
0	4.564348	FALSE	6.50354	6.569703	FALSE	6.9	"excellent"	9.061542	0.6931472	16	31.23682	"male"	FALSE	FALSE
0	4.564348	FALSE	6.50354	6.569703	FALSE	6.9	"excellent"	9.061542	1.098612	16	32.23682	"male"	FALSE	FALSE
1	4.564348	FALSE	6.50354	6.569703	FALSE	6.9	"excellent"	9.061542	1.098612	16	33.23682	"male"	FALSE	FALSE
0	4.564348	FALSE	6.50354	6.569703	FALSE	6.9	"excellent"	9.061542	1.098612	16	34.23682	"male"	FALSE	FALSE
0	4.564348	TRUE	5.857819	5.755076	FALSE	0	"excellent"	9.213368	0.6931472	13	26.45311	"male"	FALSE	FALSE
0	4.564348	TRUE	5.857819	5.755076	FALSE	0	"excellent"	9.213368	0.6931472	13	27.45311	"male"	FALSE	FALSE
0	4.564348	TRUE	5.857819	5.755076	FALSE	0	"excellent"	9.213368	1.098612	13	28.45311	"male"	FALSE	FALSE
1	4.564348	TRUE	5.857819	5.755076	FALSE	0	"excellent"	9.213368	1.386294	13	29.45311	"male"	FALSE	FALSE
0	4.564348	TRUE	5.857819	5.755076	FALSE	0	"excellent"	9.213368	1.386294	13	30.45311	"male"	FALSE	FALSE
0	4.564348	TRUE	5.857819	5.755076	FALSE	13.8	"excellent"	9.213368	0.6931472	16	24.2601	"female"	FALSE	FALSE
2	4.564348	TRUE	5.857819	5.755076	FALSE	13.8	"excellent"	9.213368	0.6931472	16	25.2601	"female"	FALSE	FALSE
1	4.564348	TRUE	5.857819	5.755076	FALSE	13.8	"excellent"	9.213368	1.098612	16	26.2601	"female"	FALSE	FALSE
1	4.564348	TRUE	5.857819	5.755076	FALSE	13.8	"excellent"	9.213368	1.386294	16	27.2601	"female"	FALSE	FALSE
0	4.564348	TRUE	5.857819	5.755076	FALSE	13.8	"excellent"	9.213368	1.386294	16	28.2601	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.170483	1.386294	12	23.55373	"female"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.170483	1.386294	12	24.55373	"female"	FALSE	TRUE
7	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.170483	1.386294	12	25.55373	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.170483	1.386294	12	25.85353	"male"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.170483	1.386294	12	26.85353	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"fair"	8.170483	1.386294	12	27.85353	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.170483	1.386294	12	4.692676	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.170483	1.386294	12	5.692676	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	8.170483	1.386294	12	6.692676	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.22159	0.6931472	12	28.44901	"male"	FALSE	TRUE
2	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.22159	1.098612	12	29.44901	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.22159	1.098612	12	30.44901	"male"	FALSE	TRUE
2	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.22159	0.6931472	12	24.59411	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.22159	1.098612	12	25.59411	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.22159	1.098612	12	26.59411	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"poor"	0	1.791759	3	4.717317	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"poor"	0	1.791759	3	5.717317	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"poor"	0	1.791759	3	6.717317	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	0	1.791759	3	16.55031	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	0	1.791759	3	17.55031	"female"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	TRUE	6.9	"good"	0	1.791759	3	18.55031	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"poor"	0	1.791759	8	18.74607	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"poor"	0	1.791759	8	19.74607	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"poor"	0	1.791759	8	20.74607	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	0	1.791759	10	25.89186	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	0	1.791759	10	26.89186	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"fair"	0	1.791759	10	27.89186	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"poor"	0	1.791759	3	47.07734	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"poor"	0	1.791759	3	48.07734	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"poor"	0	1.791759	3	49.07734	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"poor"	0	1.791759	3	12.44627	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"poor"	0	1.791759	3	13.44627	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"poor"	0	1.791759	3	14.44627	"male"	TRUE	TRUE
0	4.564348	TRUE	5.615461	5.061929	FALSE	0	"fair"	8.815269	0	7	60.1013	"male"	FALSE	TRUE
0	4.564348	TRUE	5.615461	5.061929	FALSE	0	"fair"	8.815269	0	7	61.1013	"male"	FALSE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	12.15058	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	13.15058	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	14.15058	"male"	TRUE	TRUE
2	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"excellent"	4.871713	2.302585	12	9.697468	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"excellent"	4.871713	2.302585	12	10.69747	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"excellent"	4.871713	2.302585	12	11.69747	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	5.308692	"female"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	6.308692	"female"	TRUE	TRUE
2	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	7.308692	"female"	TRUE	TRUE
3	3.258096	FALSE	6.094923	7.481217	FALSE	10.3	"fair"	4.871713	2.302585	12	33.61807	"female"	FALSE	TRUE
4	3.258096	FALSE	6.094923	7.481217	FALSE	10.3	"fair"	4.871713	2.302585	12	34.61807	"female"	FALSE	TRUE
12	3.258096	FALSE	6.094923	7.481217	FALSE	10.3	"fair"	4.871713	2.302585	12	35.61807	"female"	FALSE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	4.024641	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	5.024641	"male"	TRUE	TRUE
1	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	6.024641	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	2.718686	"male"	TRUE	TRUE
2	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	3.718686	"male"	TRUE	TRUE
3	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	4.718686	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	8.251883	"female"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	9.251883	"female"	TRUE	TRUE
1	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	10.25188	"female"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	10.94319	"female"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	11.94319	"female"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"fair"	4.871713	2.302585	12	12.94319	"female"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	6.557153	"male"	TRUE	TRUE
2	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	7.557153	"male"	TRUE	TRUE
0	3.258096	FALSE	6.094923	7.481217	FALSE	10.57626	"good"	4.871713	2.302585	12	8.557153	"male"	TRUE	TRUE
4	3.258096	FALSE	6.094923	7.481217	TRUE	10.3	"good"	4.871713	2.302585	4	35.62765	"male"	FALSE	TRUE
3	3.258096	FALSE	6.094923	7.481217	TRUE	10.3	"good"	4.871713	2.302585	4	36.62765	"male"	FALSE	TRUE
3	3.258096	FALSE	6.094923	7.481217	TRUE	10.3	"good"	4.871713	2.302585	4	37.62765	"male"	FALSE	TRUE
0	0	FALSE	5.986854	0	FALSE	0	"good"	7.5101	0	8	18.78439	"male"	FALSE	TRUE
1	0	FALSE	5.986854	0	FALSE	0	"good"	7.5101	0	8	19.78439	"male"	FALSE	TRUE
0	0	FALSE	5.986854	0	FALSE	0	"good"	7.5101	0	8	20.78439	"male"	FALSE	TRUE
12	0	FALSE	5.743003	0	TRUE	6.9	"fair"	8.206054	1.386294	5	54.31896	"male"	FALSE	TRUE
5	0	FALSE	5.743003	0	TRUE	6.9	"fair"	8.206054	1.386294	5	55.31896	"male"	FALSE	TRUE
7	0	FALSE	5.743003	0	TRUE	6.9	"fair"	8.206054	1.386294	5	56.31896	"male"	FALSE	TRUE
1	0	FALSE	5.743003	0	FALSE	10.57626	"good"	8.206054	1.386294	10	13.8809	"male"	TRUE	TRUE
3	0	FALSE	5.743003	0	FALSE	10.57626	"good"	8.206054	1.386294	10	14.8809	"male"	TRUE	TRUE
1	0	FALSE	5.743003	0	FALSE	10.57626	"good"	8.206054	1.386294	10	15.8809	"male"	TRUE	TRUE
1	0	FALSE	6.148468	0	FALSE	6.9	"good"	7.054175	0.6931472	12	21.4976	"female"	FALSE	TRUE
0	0	FALSE	6.148468	0	FALSE	6.9	"good"	7.054175	0.6931472	12	22.4976	"female"	FALSE	TRUE
10	0	FALSE	6.148468	0	FALSE	6.9	"good"	7.054175	0.6931472	12	23.4976	"female"	FALSE	TRUE
0	0	FALSE	5.743003	0	FALSE	0	"good"	8.206054	1.386294	10	15.12936	"male"	TRUE	TRUE
2	0	FALSE	5.743003	0	FALSE	0	"good"	8.206054	1.386294	10	16.12936	"male"	TRUE	TRUE
3	0	FALSE	5.743003	0	FALSE	0	"good"	8.206054	1.386294	10	17.12936	"male"	TRUE	TRUE
0	0	FALSE	5.743003	0	TRUE	6.9	"fair"	8.206054	1.386294	10	54.37098	"female"	FALSE	TRUE
0	0	FALSE	5.743003	0	TRUE	6.9	"fair"	8.206054	1.386294	10	55.37098	"female"	FALSE	TRUE
1	0	FALSE	5.743003	0	TRUE	6.9	"fair"	8.206054	1.386294	10	56.37098	"female"	FALSE	TRUE
9	4.564348	TRUE	6.701961	5.755076	TRUE	20.7	"poor"	8.034962	0.6931472	10	43.83299	"female"	FALSE	FALSE
14	4.564348	TRUE	6.701961	5.755076	TRUE	20.7	"poor"	8.034962	0.6931472	10	44.83299	"female"	FALSE	FALSE
2	4.564348	TRUE	6.701961	5.755076	TRUE	20.7	"poor"	8.034962	0.6931472	10	45.83299	"female"	FALSE	FALSE
1	4.564348	TRUE	6.701961	5.755076	FALSE	6.9	"fair"	8.034962	0.6931472	9	43.20876	"male"	FALSE	FALSE
1	4.564348	TRUE	6.701961	5.755076	FALSE	6.9	"fair"	8.034962	0.6931472	9	44.20876	"male"	FALSE	FALSE
2	4.564348	TRUE	6.701961	5.755076	FALSE	6.9	"fair"	8.034962	0.6931472	9	45.20876	"male"	FALSE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"fair"	9.020982	1.386294	8	3.132101	"male"	TRUE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"fair"	9.020982	1.386294	8	4.132102	"male"	TRUE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"fair"	9.020982	1.386294	8	5.132102	"male"	TRUE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"fair"	9.020982	1.386294	8	6.132102	"male"	TRUE	FALSE
4	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"fair"	9.020982	1.609438	8	7.132102	"male"	TRUE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	3.4	"excellent"	9.020982	1.386294	7	22.52977	"male"	FALSE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	3.4	"excellent"	9.020982	1.386294	7	23.52977	"male"	FALSE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	3.4	"excellent"	9.020982	1.386294	7	24.52977	"male"	FALSE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	3.4	"excellent"	9.020982	1.386294	7	25.52977	"male"	FALSE	FALSE
2	3.258096	FALSE	6.476973	7.863267	FALSE	3.4	"excellent"	9.020982	1.609438	7	26.52977	"male"	FALSE	FALSE
2	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	9.020982	1.386294	8	21.40452	"female"	FALSE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	9.020982	1.386294	8	22.40452	"female"	FALSE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	9.020982	1.386294	8	23.40452	"female"	FALSE	FALSE
3	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	9.020982	1.386294	8	24.40452	"female"	FALSE	FALSE
8	3.258096	FALSE	6.476973	7.863267	FALSE	10.3	"excellent"	9.020982	1.609438	8	25.40452	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.09543	0	7	58.05065	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.09543	0	7	59.05065	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	20.7	"good"	9.09543	0	7	60.05065	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.080092	1.386294	8	28.93908	"female"	FALSE	FALSE
22	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.080092	1.386294	8	29.93908	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.080092	1.386294	8	30.93908	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.080092	1.386294	3	31.45517	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.080092	1.386294	3	32.45517	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.080092	1.386294	3	33.45517	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.080092	1.386294	8	7.60575	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.080092	1.386294	8	8.605749	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.080092	1.386294	8	9.605749	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.080092	1.386294	8	12.68994	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.080092	1.386294	8	13.68994	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.080092	1.386294	8	14.68994	"female"	TRUE	FALSE
6	4.564348	TRUE	0	5.755076	TRUE	37.9	"poor"	6.707112	0.6931472	7	51.67419	"female"	FALSE	FALSE
3	4.564348	TRUE	0	5.755076	TRUE	37.9	"poor"	6.707112	0.6931472	7	52.67419	"female"	FALSE	FALSE
7	4.564348	TRUE	0	5.755076	TRUE	37.9	"poor"	6.707112	0.6931472	7	53.67419	"female"	FALSE	FALSE
2	4.564348	TRUE	0	5.755076	TRUE	20.7	"good"	6.707112	0.6931472	9	20.92266	"female"	FALSE	FALSE
5	4.564348	TRUE	0	5.755076	TRUE	20.7	"good"	6.707112	0.6931472	9	21.92266	"female"	FALSE	FALSE
1	4.564348	TRUE	0	5.755076	TRUE	20.7	"good"	6.707112	0.6931472	9	22.92266	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	5.366188	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	6.366188	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	7.366188	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.496703	1.791759	10	26.64476	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.496703	1.791759	10	27.64476	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"fair"	8.496703	1.791759	10	28.64476	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	8.561259	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	9.561259	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	10.56126	"male"	TRUE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.496703	1.791759	6	27.55921	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.496703	1.791759	6	28.55921	"male"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.496703	1.791759	6	29.55921	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.496703	1.791759	10	4.413415	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.496703	1.791759	10	5.413415	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"fair"	8.496703	1.791759	10	6.413415	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	6.310746	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	7.310746	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.496703	1.791759	10	8.310746	"female"	TRUE	TRUE
0	3.258096	FALSE	6.603266	7.989561	FALSE	3.4	"excellent"	8.946016	1.386294	12	32.51745	"male"	FALSE	FALSE
0	3.258096	FALSE	6.603266	7.989561	FALSE	3.4	"excellent"	8.946016	1.386294	12	33.51745	"male"	FALSE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	3.4	"excellent"	8.946016	1.386294	12	34.51745	"male"	FALSE	FALSE
2	3.258096	FALSE	6.603266	7.989561	FALSE	3.4	"excellent"	8.946016	1.386294	12	35.51745	"male"	FALSE	FALSE
0	3.258096	FALSE	6.603266	7.989561	FALSE	3.4	"excellent"	8.946016	1.386294	12	36.51745	"male"	FALSE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	0	"good"	8.946016	1.386294	8	30.4668	"female"	FALSE	FALSE
3	3.258096	FALSE	6.603266	7.989561	FALSE	0	"good"	8.946016	1.386294	8	31.4668	"female"	FALSE	FALSE
3	3.258096	FALSE	6.603266	7.989561	FALSE	0	"good"	8.946016	1.386294	8	32.4668	"female"	FALSE	FALSE
5	3.258096	FALSE	6.603266	7.989561	FALSE	0	"good"	8.946016	1.386294	8	33.4668	"female"	FALSE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	0	"good"	8.946016	1.386294	8	34.4668	"female"	FALSE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	9.300479	"female"	TRUE	FALSE
0	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	10.30048	"female"	TRUE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	11.30048	"female"	TRUE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	12.30048	"female"	TRUE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	13.30048	"female"	TRUE	FALSE
0	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	12.33949	"male"	TRUE	FALSE
1	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	13.33949	"male"	TRUE	FALSE
2	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	14.33949	"male"	TRUE	FALSE
3	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	15.33949	"male"	TRUE	FALSE
2	3.258096	FALSE	6.603266	7.989561	FALSE	10.57626	"excellent"	8.946016	1.386294	8	16.33949	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.037738	1.386294	12	24.49555	"male"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.037738	1.386294	12	25.49555	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"good"	9.037738	1.386294	12	26.49555	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	6.870698	1.94591	6	47.06913	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	6.870698	1.94591	6	48.06913	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	6.870698	1.94591	6	49.06913	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	11.60301	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	12.60301	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	13.60301	"male"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	6.870698	1.94591	7	40.06845	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	6.870698	1.94591	7	41.06845	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	6.870698	1.94591	7	42.06845	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	6.870698	1.94591	7	15.03354	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	6.870698	1.94591	7	16.03354	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.3	"good"	6.870698	1.94591	7	17.03354	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	11.60301	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	12.60301	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	13.60301	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	4.873374	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	5.873374	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	6.870698	1.94591	7	6.873374	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.815269	0	11	20.88433	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.815269	0	11	21.88433	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.815269	0	11	22.88433	"male"	FALSE	TRUE
2	3.258096	FALSE	6.408595	6.293789	FALSE	17.2	"fair"	0	0	7	60.27378	"female"	FALSE	TRUE
1	3.258096	FALSE	6.408595	6.293789	FALSE	17.2	"fair"	0	0	7	61.27378	"female"	FALSE	TRUE
2	3.258096	FALSE	6.408595	6.293789	FALSE	17.2	"fair"	0	0	7	62.27378	"female"	FALSE	TRUE
0	4.564348	FALSE	5.933306	5.929029	FALSE	10.57626	"good"	8.25887	1.386294	13	8.443532	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	10.57626	"good"	8.25887	1.386294	13	9.443532	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	10.57626	"good"	8.25887	1.386294	13	10.44353	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	3.4	"excellent"	8.25887	1.386294	13	14.93498	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	3.4	"excellent"	8.25887	1.386294	13	15.93498	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	3.4	"excellent"	8.25887	1.386294	13	16.93498	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	6.9	"excellent"	8.25887	1.386294	13	41.21561	"female"	FALSE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	6.9	"excellent"	8.25887	1.386294	13	42.21561	"female"	FALSE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	6.9	"excellent"	8.25887	1.386294	13	43.21561	"female"	FALSE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	10.57626	"excellent"	8.25887	1.386294	13	14.02875	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	10.57626	"excellent"	8.25887	1.386294	13	15.02875	"male"	TRUE	FALSE
0	4.564348	FALSE	5.933306	5.929029	FALSE	10.57626	"excellent"	8.25887	1.386294	13	16.02875	"male"	TRUE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	7.126626	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	8.126626	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	9.126626	"female"	TRUE	FALSE
5	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	11.29637	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	12.29637	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	13.29637	"male"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"poor"	7.843809	1.94591	12	40.10951	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"poor"	7.843809	1.94591	12	41.10951	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	6.9	"poor"	7.843809	1.94591	12	42.10951	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	9.130733	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	10.13073	"female"	TRUE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	7.843809	1.94591	12	11.13073	"female"	TRUE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	7.843809	1.94591	12	17.95756	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	7.843809	1.94591	12	18.95756	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	17.2	"excellent"	7.843809	1.94591	12	19.95756	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	7.843809	1.94591	12	15.91239	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	7.843809	1.94591	12	16.91239	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	7.843809	1.94591	12	17.91239	"female"	TRUE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	7.843809	1.94591	12	37.50034	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	7.843809	1.94591	12	38.50034	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	7.843809	1.94591	12	39.50034	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.517982	1.098612	13	44.76386	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.517982	1.098612	13	45.76386	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.517982	1.098612	13	46.76386	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.517982	1.098612	12	47.36756	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.517982	1.098612	12	48.36756	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	9.517982	1.098612	12	49.36756	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.517982	1.098612	13	16.60506	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.517982	1.098612	13	17.60506	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.517982	1.098612	13	18.60506	"female"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"good"	8.110491	1.098612	8	9.14716	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.110491	1.098612	8	10.14716	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.110491	1.098612	8	11.14716	"female"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	10.3	"good"	8.110491	1.098612	8	46.45311	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	10.3	"good"	8.110491	1.098612	8	47.45311	"male"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	10.3	"good"	8.110491	1.098612	8	48.45311	"male"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	17.2	"good"	8.110491	1.098612	8	44.87885	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	17.2	"good"	8.110491	1.098612	8	45.87885	"female"	FALSE	FALSE
2	0	FALSE	0	0	TRUE	17.2	"good"	8.110491	1.098612	8	46.87885	"female"	FALSE	FALSE
0	3.258096	FALSE	6.262826	7.649121	FALSE	20.7	"excellent"	8.815269	1.098612	8	35.32375	"female"	FALSE	TRUE
0	3.258096	FALSE	6.262826	7.649121	FALSE	20.7	"excellent"	8.815269	1.098612	8	36.32375	"female"	FALSE	TRUE
0	3.258096	FALSE	6.262826	7.649121	FALSE	20.7	"excellent"	8.815269	1.386294	8	37.32375	"female"	FALSE	TRUE
0	3.258096	FALSE	6.262826	7.649121	TRUE	27.6	"excellent"	8.815269	1.098612	8	17.31143	"female"	TRUE	TRUE
4	3.258096	FALSE	6.262826	7.649121	TRUE	27.6	"excellent"	8.815269	1.098612	8	18.31143	"female"	FALSE	TRUE
0	3.258096	FALSE	6.262826	7.649121	TRUE	27.6	"excellent"	8.815269	1.386294	8	19.31143	"female"	FALSE	TRUE
0	3.258096	FALSE	6.262826	7.649121	FALSE	10.57626	"excellent"	8.815269	1.098612	8	3.425051	"male"	TRUE	TRUE
0	3.258096	FALSE	6.262826	7.649121	FALSE	10.57626	"excellent"	8.815269	1.098612	8	4.425051	"male"	TRUE	TRUE
0	3.258096	FALSE	6.262826	7.649121	FALSE	10.57626	"excellent"	8.815269	1.386294	8	5.425051	"male"	TRUE	TRUE
6	0	FALSE	5.72984	0	TRUE	20.7	"fair"	8.96441	1.098612	13	44.47639	"female"	FALSE	FALSE
5	0	FALSE	5.72984	0	TRUE	20.7	"fair"	8.96441	1.098612	13	45.47639	"female"	FALSE	FALSE
4	0	FALSE	5.72984	0	TRUE	20.7	"fair"	8.96441	1.098612	13	46.47639	"female"	FALSE	FALSE
9	0	FALSE	5.72984	0	TRUE	20.7	"fair"	8.96441	0.6931472	13	47.47639	"female"	FALSE	FALSE
8	0	FALSE	5.72984	0	TRUE	20.7	"fair"	8.96441	0.6931472	13	48.47639	"female"	FALSE	FALSE
7	0	FALSE	5.72984	0	TRUE	24.1	"good"	8.96441	1.098612	7	49.79055	"male"	FALSE	FALSE
12	0	FALSE	5.72984	0	TRUE	24.1	"good"	8.96441	1.098612	7	50.79055	"male"	FALSE	FALSE
6	0	FALSE	5.72984	0	TRUE	24.1	"good"	8.96441	1.098612	7	51.79055	"male"	FALSE	FALSE
5	0	FALSE	5.72984	0	FALSE	10.57626	"good"	8.96441	1.098612	13	4.865161	"male"	TRUE	FALSE
6	0	FALSE	5.72984	0	FALSE	10.57626	"good"	8.96441	1.098612	13	5.865161	"male"	TRUE	FALSE
4	0	FALSE	5.72984	0	FALSE	10.57626	"good"	8.96441	1.098612	13	6.865161	"male"	TRUE	FALSE
4	0	FALSE	5.72984	0	FALSE	10.57626	"good"	8.96441	0.6931472	13	7.865161	"male"	TRUE	FALSE
1	0	FALSE	5.72984	0	FALSE	10.57626	"good"	8.96441	0.6931472	13	8.865161	"male"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.488728	1.386294	12	5.218344	"female"	TRUE	FALSE
3	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.488728	1.386294	12	6.218344	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.488728	1.386294	12	7.218344	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.488728	1.386294	12	10.3217	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.488728	1.386294	12	11.3217	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"good"	8.488728	1.386294	12	12.3217	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.3	"excellent"	8.488728	1.386294	12	35.87406	"female"	FALSE	FALSE
4	4.564348	TRUE	5.010635	6.160541	FALSE	10.3	"excellent"	8.488728	1.386294	12	36.87406	"female"	FALSE	FALSE
5	4.564348	TRUE	5.010635	6.160541	FALSE	10.3	"excellent"	8.488728	1.386294	12	37.87406	"female"	FALSE	FALSE
4	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"excellent"	8.488728	1.386294	12	37.23203	"male"	FALSE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"excellent"	8.488728	1.386294	12	38.23203	"male"	FALSE	FALSE
3	4.564348	TRUE	5.010635	6.160541	FALSE	6.9	"excellent"	8.488728	1.386294	12	39.23203	"male"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	10.57626	"good"	9.242285	1.386294	12	7.348392	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	10.57626	"good"	9.242285	1.386294	12	8.348392	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"good"	9.242285	1.386294	12	9.348392	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	9.242285	1.386294	14	32.14237	"male"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	3.4	"good"	9.242285	1.386294	14	33.14237	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"good"	9.242285	1.386294	14	34.14237	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	10.3	"good"	9.242285	1.386294	12	32.60233	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	10.3	"good"	9.242285	1.386294	12	33.60233	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.3	"good"	9.242285	1.386294	12	34.60233	"female"	FALSE	FALSE
20	0	FALSE	0	0	FALSE	10.57626	"good"	9.242285	1.386294	12	4.684463	"male"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	10.57626	"good"	9.242285	1.386294	12	5.684463	"male"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	10.57626	"good"	9.242285	1.386294	12	6.684463	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"good"	9.454378	1.098612	12	27.80014	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"good"	9.454378	1.098612	12	28.80014	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"good"	9.454378	1.609438	12	29.80014	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.454378	1.098612	12	31.77276	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.454378	1.098612	12	32.77276	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.454378	1.609438	12	33.77276	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"fair"	9.395557	1.098612	10	49.68104	"male"	FALSE	TRUE
1	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"fair"	9.395557	1.098612	10	50.68104	"male"	FALSE	TRUE
9	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"fair"	9.395557	1.098612	10	51.68104	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"good"	9.395557	1.098612	15	41.0267	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"good"	9.395557	1.098612	15	42.0267	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"good"	9.395557	1.098612	15	43.0267	"female"	FALSE	TRUE
10	0	FALSE	5.560835	0	TRUE	31	"fair"	9.184899	0	11	54.6694	"female"	FALSE	FALSE
8	0	FALSE	5.560835	0	TRUE	31	"fair"	9.184899	0	11	55.6694	"female"	FALSE	FALSE
10	0	FALSE	5.560835	0	TRUE	31	"fair"	9.184899	0	11	56.6694	"female"	FALSE	FALSE
7	0	FALSE	5.560835	0	TRUE	31	"fair"	9.184899	0	11	57.6694	"female"	FALSE	FALSE
9	0	FALSE	5.560835	0	TRUE	31	"fair"	9.184899	0	11	58.6694	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.140632	1.098612	12	26.32444	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.140632	1.098612	12	27.32444	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"excellent"	9.140632	1.098612	12	28.32444	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.140632	1.098612	13	23.49623	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.140632	1.098612	13	24.49623	"female"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"good"	9.140632	1.098612	13	25.49623	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.530313	1.386294	8	28.72827	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.530313	1.386294	8	29.72827	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.530313	1.386294	8	30.72827	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.530313	1.386294	12	6.266941	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.530313	1.386294	12	7.266941	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.530313	1.386294	12	8.26694	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.530313	1.386294	12	7.624915	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.530313	1.386294	12	8.624914	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.530313	1.386294	12	9.624914	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.530313	1.386294	12	26.28611	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.530313	1.386294	12	27.28611	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	8.530313	1.386294	12	28.28611	"female"	FALSE	FALSE
9	4.564348	TRUE	5.593967	5.061929	TRUE	37.9	"fair"	7.855587	0	10	52.56673	"female"	FALSE	FALSE
3	4.564348	TRUE	5.593967	5.061929	TRUE	37.9	"fair"	7.855587	0	10	53.56673	"female"	FALSE	FALSE
5	4.564348	TRUE	5.593967	5.061929	TRUE	37.9	"fair"	7.855587	0	10	54.56673	"female"	FALSE	FALSE
13	0	FALSE	5.766538	0	TRUE	31	"good"	8.688441	0.6931472	4	57.64545	"male"	FALSE	FALSE
8	0	FALSE	5.766538	0	TRUE	31	"good"	8.688441	0.6931472	4	58.64545	"male"	FALSE	FALSE
15	0	FALSE	5.766538	0	TRUE	31	"good"	8.688441	0.6931472	4	59.64545	"male"	FALSE	FALSE
10	0	FALSE	5.766538	0	TRUE	27.6	"fair"	8.688441	0.6931472	12	55.13484	"female"	FALSE	FALSE
6	0	FALSE	5.766538	0	TRUE	27.6	"fair"	8.688441	0.6931472	12	56.13484	"female"	FALSE	FALSE
14	0	FALSE	5.766538	0	TRUE	27.6	"fair"	8.688441	0.6931472	12	57.13484	"female"	FALSE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.602436	1.386294	12	47.06366	"female"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.602436	1.386294	12	48.06366	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"good"	9.602436	1.386294	12	49.06366	"female"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.602436	1.386294	11	20.54757	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.602436	1.386294	11	21.54757	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"good"	9.602436	1.386294	11	22.54757	"female"	FALSE	FALSE
17	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.602436	1.386294	12	4.164271	"female"	TRUE	FALSE
10	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.602436	1.386294	12	5.164271	"female"	TRUE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.602436	1.386294	12	6.164271	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.602436	1.386294	12	57.22108	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.602436	1.386294	12	58.22108	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"excellent"	9.602436	1.386294	12	59.22108	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.815269	1.098612	12	25.16359	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.815269	1.098612	12	26.16359	"female"	FALSE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.815269	1.386294	12	27.16359	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.815269	1.098612	12	5.735797	"male"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.815269	1.098612	12	6.735797	"male"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.815269	1.386294	12	7.735797	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	1.098612	12	26.5462	"male"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	1.098612	12	27.5462	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	1.386294	12	28.5462	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	9.000103	1.098612	12	3.723477	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"good"	9.000103	1.386294	12	4.723477	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	9.000103	1.386294	12	5.723477	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	6.9	"excellent"	9.000103	1.098612	12	23.02533	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	9.000103	1.386294	12	24.02533	"female"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.000103	1.386294	12	25.02533	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	3.4	"good"	9.000103	1.098612	12	25.24572	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	9.000103	1.386294	12	26.24572	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	9.000103	1.386294	12	27.24572	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.815269	1.098612	12	27.50445	"male"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.815269	1.098612	12	28.50445	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.815269	1.098612	12	29.50445	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.815269	1.098612	12	30.50445	"male"	FALSE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	8.815269	1.098612	12	31.50445	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.815269	1.098612	12	27.50171	"female"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.815269	1.098612	12	28.50171	"female"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.815269	1.098612	12	29.50171	"female"	FALSE	FALSE
11	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.815269	1.098612	12	30.50171	"female"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"good"	8.815269	1.098612	12	31.50171	"female"	FALSE	FALSE
3	0	FALSE	0	0	TRUE	24.1	"poor"	0	0.6931472	2	53.94661	"male"	FALSE	TRUE
1	0	FALSE	0	0	TRUE	10.57626	"fair"	0	0.6931472	2	11.86858	"female"	TRUE	TRUE
13	3.258096	FALSE	6.238403	6.915723	TRUE	37.9	"poor"	6.998238	0	5	59.66598	"female"	FALSE	TRUE
0	3.931826	FALSE	0	7.37149	FALSE	10.3	"fair"	7.143397	1.791759	10	33.40726	"female"	FALSE	TRUE
3	3.931826	FALSE	0	7.37149	FALSE	10.3	"fair"	7.143397	1.791759	10	34.40726	"female"	FALSE	TRUE
2	3.931826	FALSE	0	7.37149	FALSE	10.3	"fair"	7.143397	1.94591	10	35.40726	"female"	FALSE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"fair"	7.143397	1.791759	10	12.02738	"female"	TRUE	TRUE
3	3.931826	FALSE	0	7.37149	TRUE	10.57626	"fair"	7.143397	1.791759	10	13.02738	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"fair"	7.143397	1.94591	10	14.02738	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"fair"	7.143397	1.791759	10	13.65092	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"fair"	7.143397	1.791759	10	14.65092	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"fair"	7.143397	1.94591	10	15.65092	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"excellent"	7.143397	1.791759	10	9.549623	"male"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"excellent"	7.143397	1.791759	10	10.54962	"male"	TRUE	TRUE
1	3.931826	FALSE	0	7.37149	TRUE	10.57626	"excellent"	7.143397	1.94591	10	11.54962	"male"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"excellent"	7.143397	1.791759	10	10.86653	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"excellent"	7.143397	1.791759	10	11.86653	"female"	TRUE	TRUE
0	3.931826	FALSE	0	7.37149	TRUE	10.57626	"excellent"	7.143397	1.94591	10	12.86653	"female"	TRUE	TRUE
1	3.931826	FALSE	0	7.37149	FALSE	3.4	"fair"	7.143397	1.791759	9	32.61876	"male"	FALSE	TRUE
7	3.931826	FALSE	0	7.37149	FALSE	3.4	"fair"	7.143397	1.791759	9	33.61876	"male"	FALSE	TRUE
2	3.931826	FALSE	0	7.37149	FALSE	3.4	"fair"	7.143397	1.94591	9	34.61876	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	3.4	"excellent"	7.092784	0.6931472	10	19.39767	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	3.4	"excellent"	7.092784	0.6931472	10	20.39767	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	3.4	"excellent"	7.092784	0.6931472	10	21.39767	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.3856	1.386294	8	14.52704	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.3856	1.098612	8	15.52704	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.3856	1.098612	8	16.52704	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	8.3856	1.386294	8	59.35661	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	8.3856	1.098612	8	60.35661	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"fair"	8.3856	1.098612	8	61.35661	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.3856	1.386294	8	53.9603	"male"	FALSE	TRUE
2	0	FALSE	4.094345	0	FALSE	10.3	"excellent"	9.346587	0.6931472	16	24.18344	"male"	FALSE	FALSE
3	0	FALSE	4.094345	0	FALSE	10.3	"excellent"	9.346587	1.098612	16	25.18344	"male"	FALSE	FALSE
4	0	FALSE	4.094345	0	FALSE	10.3	"excellent"	9.346587	1.098612	16	26.18344	"male"	FALSE	FALSE
4	0	FALSE	4.094345	0	FALSE	10.3	"excellent"	9.346587	1.386294	16	27.18344	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	10.3	"excellent"	9.346587	1.386294	16	28.18344	"male"	FALSE	FALSE
3	0	FALSE	4.094345	0	FALSE	17.2	"excellent"	9.346587	0.6931472	16	22.78166	"female"	FALSE	FALSE
2	0	FALSE	4.094345	0	FALSE	17.2	"excellent"	9.346587	1.098612	16	23.78166	"female"	FALSE	FALSE
2	0	FALSE	4.094345	0	FALSE	17.2	"excellent"	9.346587	1.098612	16	24.78166	"female"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	17.2	"excellent"	9.346587	1.386294	16	25.78166	"female"	FALSE	FALSE
7	0	FALSE	4.094345	0	FALSE	17.2	"excellent"	9.346587	1.386294	16	26.78166	"female"	FALSE	FALSE
0	0	FALSE	5.094976	0	FALSE	0	"excellent"	9.620266	1.791759	9	18.19849	"male"	FALSE	TRUE
0	0	FALSE	5.094976	0	FALSE	3.4	"excellent"	9.620266	1.791759	18	16.34223	"female"	TRUE	TRUE
1	0	FALSE	5.094976	0	FALSE	3.4	"excellent"	9.620266	1.609438	18	17.34223	"female"	TRUE	TRUE
0	0	FALSE	5.094976	0	FALSE	3.4	"excellent"	9.620266	1.609438	18	18.34223	"female"	FALSE	TRUE
0	0	FALSE	5.094976	0	FALSE	10.57626	"excellent"	9.620266	1.791759	18	7.039014	"male"	TRUE	TRUE
0	0	FALSE	5.094976	0	FALSE	10.57626	"excellent"	9.620266	1.609438	18	8.039015	"male"	TRUE	TRUE
0	0	FALSE	5.094976	0	FALSE	10.57626	"excellent"	9.620266	1.609438	18	9.039015	"male"	TRUE	TRUE
0	0	FALSE	5.094976	0	FALSE	10.57626	"excellent"	9.620266	1.791759	18	12.24914	"male"	TRUE	TRUE
1	0	FALSE	5.094976	0	FALSE	10.57626	"excellent"	9.620266	1.609438	18	13.24914	"male"	TRUE	TRUE
0	0	FALSE	5.094976	0	FALSE	10.57626	"excellent"	9.620266	1.609438	18	14.24914	"male"	TRUE	TRUE
0	0	FALSE	5.094976	0	FALSE	0	"good"	9.620266	1.791759	18	49.65914	"male"	FALSE	TRUE
1	0	FALSE	5.094976	0	FALSE	0	"good"	9.620266	1.609438	18	50.65914	"male"	FALSE	TRUE
0	0	FALSE	5.094976	0	FALSE	0	"good"	9.620266	1.609438	18	51.65914	"male"	FALSE	TRUE
0	0	FALSE	5.094976	0	FALSE	13.8	"good"	9.620266	1.791759	18	47.17317	"female"	FALSE	TRUE
1	0	FALSE	5.094976	0	FALSE	13.8	"good"	9.620266	1.609438	18	48.17317	"female"	FALSE	TRUE
0	0	FALSE	5.094976	0	FALSE	13.8	"good"	9.620266	1.609438	18	49.17317	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.399591	1.386294	14	9.563313	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.399591	1.386294	14	10.56331	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.399591	1.386294	14	11.56331	"male"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.399591	1.386294	14	36.3833	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.399591	1.386294	14	37.3833	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"good"	9.399591	1.386294	14	38.3833	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.399591	1.386294	14	12.09856	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.399591	1.386294	14	13.09856	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.399591	1.386294	14	14.09856	"male"	TRUE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.399591	1.386294	16	42.05339	"male"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.399591	1.386294	16	43.05339	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"good"	9.399591	1.386294	16	44.05339	"male"	FALSE	FALSE
4	0	FALSE	5.145166	0	FALSE	6.9	"excellent"	6.957181	0.6931472	7	59.97262	"female"	FALSE	TRUE
1	0	FALSE	5.145166	0	FALSE	6.9	"excellent"	6.957181	0.6931472	7	60.97262	"female"	FALSE	TRUE
7	0	FALSE	5.145166	0	FALSE	6.9	"excellent"	6.957181	0.6931472	7	61.97262	"female"	FALSE	TRUE
4	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"good"	8.815269	0.6931472	12	61.46201	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	17.2	"good"	8.815269	0.6931472	12	62.46201	"male"	FALSE	FALSE
2	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	8.815269	0.6931472	11	57.24025	"female"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	8.815269	0.6931472	11	58.24025	"female"	FALSE	FALSE
9	4.564348	TRUE	5.703783	5.755076	TRUE	24.1	"good"	8.815269	0	11	59.24025	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	3.4	"poor"	8.183291	0.6931472	3	58.75702	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	3.4	"poor"	8.183291	0.6931472	3	59.75702	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	3.4	"poor"	8.183291	0.6931472	3	60.75702	"male"	FALSE	TRUE
3	3.931826	FALSE	6.907755	7.600903	TRUE	20.7	"poor"	8.183291	0.6931472	9	48.68172	"female"	FALSE	TRUE
2	3.931826	FALSE	6.907755	7.600903	TRUE	20.7	"poor"	8.183291	0.6931472	9	49.68172	"female"	FALSE	TRUE
2	3.931826	FALSE	6.907755	7.600903	TRUE	20.7	"poor"	8.183291	0.6931472	9	50.68172	"female"	FALSE	TRUE
12	0	FALSE	5.046517	0	FALSE	20.7	"good"	7.952899	0	15	48.14237	"male"	FALSE	FALSE
21	0	FALSE	5.046517	0	FALSE	20.7	"good"	7.952899	0	15	49.14237	"male"	FALSE	FALSE
16	0	FALSE	5.046517	0	FALSE	20.7	"good"	7.952899	0	15	50.14237	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.815269	1.386294	10	14.98426	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.815269	1.386294	10	15.98426	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"good"	8.815269	1.386294	10	16.98426	"female"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"fair"	8.815269	1.386294	10	52.0794	"female"	FALSE	TRUE
9	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"fair"	8.815269	1.386294	10	53.0794	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	27.6	"fair"	8.815269	1.386294	10	54.0794	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"fair"	8.815269	1.386294	10	14.95962	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"fair"	8.815269	1.386294	10	15.95962	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	6.9	"fair"	8.815269	1.386294	10	16.95962	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	8.815269	1.386294	5	55.64682	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	8.815269	1.386294	5	56.64682	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"poor"	8.815269	1.386294	5	57.64682	"male"	FALSE	TRUE
0	0	FALSE	5.436556	0	FALSE	3.4	"good"	9.2896	1.098612	12	41.1718	"female"	FALSE	FALSE
1	0	FALSE	5.436556	0	FALSE	3.4	"good"	9.2896	1.098612	12	42.1718	"female"	FALSE	FALSE
2	0	FALSE	5.436556	0	FALSE	3.4	"good"	9.2896	1.098612	12	43.1718	"female"	FALSE	FALSE
3	0	FALSE	5.436556	0	FALSE	13.8	"good"	9.2896	1.098612	18	43.91239	"male"	FALSE	FALSE
3	0	FALSE	5.436556	0	FALSE	13.8	"good"	9.2896	1.098612	18	44.91239	"male"	FALSE	FALSE
8	0	FALSE	5.436556	0	FALSE	13.8	"good"	9.2896	1.098612	18	45.91239	"male"	FALSE	FALSE
6	0	FALSE	5.436556	0	FALSE	10.57626	"good"	9.2896	1.098612	12	9.138946	"male"	TRUE	FALSE
1	0	FALSE	5.436556	0	FALSE	10.57626	"good"	9.2896	1.098612	12	10.13895	"male"	TRUE	FALSE
2	0	FALSE	5.436556	0	FALSE	10.57626	"good"	9.2896	1.098612	12	11.13895	"male"	TRUE	FALSE
4	3.258096	FALSE	6.579251	7.965546	FALSE	6.9	"good"	8.113716	1.609438	10.62774	18.20945	"female"	FALSE	TRUE
2	3.258096	FALSE	6.579251	7.965546	FALSE	6.9	"good"	8.113716	1.609438	10.62774	19.20945	"female"	FALSE	TRUE
1	3.258096	FALSE	6.579251	7.965546	FALSE	6.9	"good"	8.113716	1.609438	10.62774	20.20945	"female"	FALSE	TRUE
6	3.258096	FALSE	6.579251	7.965546	FALSE	27.6	"fair"	8.113716	1.609438	8	56.71184	"female"	FALSE	TRUE
5	3.258096	FALSE	6.579251	7.965546	FALSE	27.6	"fair"	8.113716	1.609438	8	57.71184	"female"	FALSE	TRUE
1	3.258096	FALSE	6.579251	7.965546	FALSE	27.6	"fair"	8.113716	1.609438	8	58.71184	"female"	FALSE	TRUE
2	3.258096	FALSE	6.579251	7.965546	FALSE	3.4	"fair"	8.113716	1.609438	8	16.16427	"male"	TRUE	TRUE
1	3.258096	FALSE	6.579251	7.965546	FALSE	3.4	"fair"	8.113716	1.609438	8	17.16427	"male"	TRUE	TRUE
0	3.258096	FALSE	6.579251	7.965546	FALSE	3.4	"fair"	8.113716	1.609438	8	18.16427	"male"	FALSE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.596942	1.609438	11	11.45243	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.596942	1.609438	11	12.45243	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.596942	1.609438	11	13.45243	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.596942	1.609438	11	14.45243	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.596942	1.609438	11	15.45243	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	17.2	"fair"	8.596942	1.609438	12	41.6345	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	17.2	"fair"	8.596942	1.609438	12	42.6345	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	17.2	"fair"	8.596942	1.609438	12	43.6345	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	17.2	"fair"	8.596942	1.609438	12	44.6345	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	TRUE	17.2	"fair"	8.596942	1.609438	12	45.6345	"male"	FALSE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	15.97262	"male"	TRUE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	16.97262	"male"	TRUE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	17.97262	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	18.97262	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	19.97262	"male"	FALSE	TRUE
4	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	36.46817	"female"	FALSE	TRUE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	37.46817	"female"	FALSE	TRUE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	38.46817	"female"	FALSE	TRUE
4	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	39.46817	"female"	FALSE	TRUE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.3	"fair"	8.596942	1.609438	11	40.46817	"female"	FALSE	TRUE
1	0	FALSE	5.943534	0	FALSE	17.2	"good"	6.992609	0	6	57.61259	"female"	FALSE	TRUE
2	0	FALSE	5.943534	0	FALSE	17.2	"good"	6.992609	0	6	58.61259	"female"	FALSE	TRUE
0	0	FALSE	5.943534	0	FALSE	17.2	"good"	6.992609	0	6	59.61259	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	27.6	"fair"	7.968973	0	9	59.80835	"female"	FALSE	FALSE
9	0	FALSE	0	0	FALSE	27.6	"fair"	7.968973	0	9	60.80835	"female"	FALSE	FALSE
13	0	FALSE	0	0	FALSE	27.6	"fair"	7.968973	0	9	61.80835	"female"	FALSE	FALSE
0	4.564348	FALSE	5.160491	5.467394	FALSE	3.4	"fair"	0	1.386294	12	22.10814	"female"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	3.4	"fair"	0	1.386294	12	23.10814	"female"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	3.4	"excellent"	0	1.386294	12	16.12047	"male"	TRUE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	3.4	"excellent"	0	1.386294	12	17.12047	"male"	TRUE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	3.4	"excellent"	0	0.6931472	12	18.12047	"male"	FALSE	TRUE
1	4.564348	FALSE	5.160491	5.467394	FALSE	3.4	"excellent"	0	0.6931472	12	19.12047	"male"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	3.4	"excellent"	0	0.6931472	12	20.12047	"male"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	10.57626	"excellent"	0	1.386294	12	1.741273	"male"	TRUE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	10.57626	"excellent"	0	1.386294	12	2.741273	"male"	TRUE	TRUE
0	4.564348	FALSE	0	4.420108	FALSE	0	"good"	7.932168	0	12	20.04928	"male"	FALSE	TRUE
0	4.564348	FALSE	0	4.420108	FALSE	0	"good"	7.932168	0	12	21.04928	"male"	FALSE	TRUE
0	4.564348	FALSE	0	4.420108	FALSE	0	"good"	7.932168	0	12	22.04928	"male"	FALSE	TRUE
0	4.564348	FALSE	0	4.420108	FALSE	0	"good"	7.932168	0	12	23.04928	"male"	FALSE	TRUE
0	4.564348	FALSE	0	4.420108	FALSE	0	"good"	7.932168	0	12	24.04928	"male"	FALSE	TRUE
9	0	FALSE	5.757007	0	FALSE	17.2	"good"	9.588045	1.386294	18	48.26557	"female"	FALSE	TRUE
6	0	FALSE	5.757007	0	FALSE	17.2	"good"	9.588045	1.386294	18	49.26557	"female"	FALSE	TRUE
3	0	FALSE	5.757007	0	FALSE	17.2	"good"	9.588045	1.386294	18	50.26557	"female"	FALSE	TRUE
5	0	FALSE	5.757007	0	FALSE	10.57626	"good"	9.588045	1.386294	18	9.111567	"male"	TRUE	TRUE
2	0	FALSE	5.757007	0	FALSE	10.57626	"good"	9.588045	1.386294	18	10.11157	"male"	TRUE	TRUE
2	0	FALSE	5.757007	0	FALSE	10.57626	"good"	9.588045	1.386294	18	11.11157	"male"	TRUE	TRUE
9	0	FALSE	5.757007	0	FALSE	17.2	"good"	9.588045	1.386294	19	46.57084	"male"	FALSE	TRUE
2	0	FALSE	5.757007	0	FALSE	17.2	"good"	9.588045	1.386294	19	47.57084	"male"	FALSE	TRUE
2	0	FALSE	5.757007	0	FALSE	17.2	"good"	9.588045	1.386294	19	48.57084	"male"	FALSE	TRUE
2	0	FALSE	5.757007	0	FALSE	10.57626	"good"	9.588045	1.386294	18	13.7358	"male"	TRUE	TRUE
3	0	FALSE	5.757007	0	FALSE	10.57626	"good"	9.588045	1.386294	18	14.7358	"male"	TRUE	TRUE
2	0	FALSE	5.757007	0	FALSE	10.57626	"good"	9.588045	1.386294	18	15.7358	"male"	TRUE	TRUE
2	0	FALSE	5.470083	0	TRUE	24.1	"good"	9.185139	1.098612	9	55.25257	"male"	FALSE	FALSE
26	0	FALSE	5.470083	0	TRUE	24.1	"good"	9.185139	1.098612	9	56.25257	"male"	FALSE	FALSE
11	0	FALSE	5.470083	0	TRUE	24.1	"good"	9.185139	1.098612	9	57.25257	"male"	FALSE	FALSE
8	0	FALSE	5.470083	0	FALSE	10.57626	"good"	9.185139	1.098612	10	14.55441	"female"	TRUE	FALSE
14	0	FALSE	5.470083	0	FALSE	10.57626	"good"	9.185139	1.098612	10	15.55441	"female"	TRUE	FALSE
5	0	FALSE	5.470083	0	FALSE	10.57626	"good"	9.185139	1.098612	10	16.55441	"female"	TRUE	FALSE
34	0	FALSE	5.470083	0	TRUE	44.8	"good"	9.185139	1.098612	10	45.0486	"female"	FALSE	FALSE
48	0	FALSE	5.470083	0	TRUE	44.8	"good"	9.185139	1.098612	10	46.0486	"female"	FALSE	FALSE
31	0	FALSE	5.470083	0	TRUE	44.8	"good"	9.185139	1.098612	10	47.0486	"female"	FALSE	FALSE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.815269	1.098612	6	38.68857	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.815269	0.6931472	6	39.68857	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.815269	0.6931472	6	40.68857	"female"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	0	"fair"	8.815269	1.098612	6	16.8104	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.815269	1.098612	6	15.8987	"female"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.815269	0.6931472	6	16.8987	"female"	TRUE	TRUE
4	4.564348	TRUE	0	6.160541	FALSE	3.4	"good"	8.815269	0.6931472	6	17.8987	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.448223	FALSE	3.4	"excellent"	7.900835	0	12	33.50856	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.448223	FALSE	3.4	"excellent"	7.900835	0	12	34.50856	"female"	FALSE	FALSE
0	4.564348	FALSE	0	6.448223	FALSE	3.4	"excellent"	7.900835	0	12	35.50856	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.107137	0.6931472	4	54.80904	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.107137	0.6931472	4	55.80904	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	20.7	"good"	9.107137	0.6931472	4	56.80904	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.107137	0.6931472	0	58.4887	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.107137	0.6931472	0	59.4887	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.107137	0.6931472	0	60.4887	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.1646	1.386294	12	6.874743	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.1646	1.386294	12	7.874743	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.1646	1.386294	12	38.93497	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.3	"excellent"	9.1646	1.386294	12	39.93497	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.1646	1.386294	12	14.88843	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.1646	1.386294	12	15.88843	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"excellent"	9.1646	1.386294	12	37.59343	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	27.6	"excellent"	9.1646	1.386294	12	38.59343	"female"	FALSE	FALSE
1	3.258096	FALSE	5.269815	6.656109	FALSE	24.1	"excellent"	9.407862	0.6931472	16	25.7577	"female"	FALSE	FALSE
2	3.258096	FALSE	5.269815	6.656109	FALSE	24.1	"excellent"	9.407862	0.6931472	16	26.7577	"female"	FALSE	FALSE
3	3.258096	FALSE	5.269815	6.656109	FALSE	24.1	"excellent"	9.407862	1.098612	16	27.7577	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	8.414724	2.079442	12	39.80835	"female"	FALSE	TRUE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	8.414724	2.079442	12	40.80835	"female"	FALSE	TRUE
4	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	8.414724	1.94591	12	41.80835	"female"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.414724	2.079442	12	15.4935	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.414724	2.079442	12	16.4935	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.414724	1.94591	12	17.4935	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.414724	2.079442	12	11.62491	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.414724	2.079442	12	12.62491	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.414724	1.94591	12	13.62491	"male"	TRUE	TRUE
6	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	8.414724	2.079442	6	43.87954	"male"	FALSE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	8.414724	2.079442	6	44.87954	"male"	FALSE	TRUE
2	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	8.414724	1.94591	6	45.87954	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"fair"	8.414724	2.079442	12	13.44559	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"fair"	8.414724	2.079442	12	14.44559	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"fair"	8.414724	1.94591	12	15.44559	"male"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.414724	2.079442	12	5.94935	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"good"	8.414724	2.079442	12	6.94935	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.414724	2.079442	12	15.22245	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.414724	2.079442	12	16.22245	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"good"	8.414724	1.94591	12	17.22245	"female"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.723834	1.386294	18	12.7666	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.723834	1.386294	18	13.7666	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.723834	1.386294	18	14.7666	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.723834	1.386294	18	7.835729	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.723834	1.386294	18	8.835729	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.723834	1.386294	18	9.835729	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.723834	1.386294	10.62774	38.19028	"male"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.723834	1.386294	10.62774	39.19028	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	TRUE	13.8	"good"	9.723834	1.386294	10.62774	40.19028	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.723834	1.386294	18	35.98631	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.723834	1.386294	18	36.98631	"female"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	17.2	"good"	9.723834	1.386294	18	37.98631	"female"	FALSE	FALSE
5	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	9.130122	0.6931472	13	28.81588	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	9.130122	0.6931472	13	29.81588	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	9.130122	0.6931472	13	30.81588	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	9.130122	0.6931472	13	31.81588	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	0	"good"	9.130122	1.098612	13	32.81588	"male"	FALSE	FALSE
10	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.130122	0.6931472	12	20.55031	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.130122	0.6931472	12	21.55031	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.130122	0.6931472	12	22.55031	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.130122	0.6931472	12	23.55031	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	3.4	"excellent"	9.130122	1.098612	12	24.55031	"female"	FALSE	FALSE
5	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	9.004265	0.6931472	6	41.57153	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	9.004265	0.6931472	6	42.57153	"male"	FALSE	FALSE
6	4.564348	FALSE	6.907755	6.959049	TRUE	3.4	"good"	9.004265	0.6931472	6	43.57153	"male"	FALSE	FALSE
13	4.564348	FALSE	6.907755	6.959049	FALSE	41.4	"fair"	9.004265	0.6931472	12	41.51677	"female"	FALSE	FALSE
11	4.564348	FALSE	6.907755	6.959049	FALSE	41.4	"fair"	9.004265	0.6931472	12	42.51677	"female"	FALSE	FALSE
13	4.564348	FALSE	6.907755	6.959049	FALSE	41.4	"fair"	9.004265	0.6931472	12	43.51677	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.369807	1.386294	12	17.20739	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.369807	1.386294	12	18.20739	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.369807	1.386294	12	19.20739	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.369807	1.386294	12	20.20739	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.369807	1.386294	12	21.20739	"male"	FALSE	FALSE
6	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.369807	1.386294	13	40.47365	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.369807	1.386294	13	41.47365	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.369807	1.386294	13	42.47365	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.369807	1.386294	13	43.47365	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	13.8	"good"	9.369807	1.386294	13	44.47365	"male"	FALSE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.369807	1.386294	12	37.21561	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.369807	1.386294	12	38.21561	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.369807	1.386294	12	39.21561	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.369807	1.386294	12	40.21561	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	20.7	"good"	9.369807	1.386294	12	41.21561	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.369807	1.386294	12	12.9473	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.369807	1.386294	12	13.9473	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.369807	1.386294	12	14.9473	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.369807	1.386294	12	15.9473	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.369807	1.386294	12	16.9473	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	13.8	"excellent"	8.807326	1.791759	12	35.72622	"female"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	13.8	"excellent"	8.807326	1.791759	12	36.72622	"female"	FALSE	TRUE
4	0	FALSE	0	0	TRUE	13.8	"excellent"	8.807326	1.791759	12	37.72622	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.807326	1.791759	12	15.23614	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.807326	1.791759	12	16.23614	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.807326	1.791759	12	17.23614	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.807326	1.791759	12	14.1191	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.807326	1.791759	12	15.1191	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.807326	1.791759	12	16.1191	"male"	TRUE	TRUE
7	0	FALSE	0	0	FALSE	6.9	"excellent"	8.807326	1.791759	7	40.83231	"male"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	6.9	"excellent"	8.807326	1.791759	7	41.83231	"male"	FALSE	TRUE
10	0	FALSE	0	0	FALSE	6.9	"excellent"	8.807326	1.791759	7	42.83231	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.807326	1.791759	12	5.229295	"male"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"good"	8.807326	1.791759	12	6.229295	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.807326	1.791759	12	7.229295	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.807326	1.791759	12	16.84326	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.807326	1.791759	12	17.84326	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.807326	1.791759	12	18.84326	"male"	FALSE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.3	"fair"	9.299645	1.386294	7	42.40657	"female"	FALSE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.3	"fair"	9.299645	1.791759	7	43.40657	"female"	FALSE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.3	"fair"	9.299645	1.94591	7	44.40657	"female"	FALSE	TRUE
9	0	FALSE	6.050488	0	TRUE	10.3	"fair"	9.299645	2.079442	7	45.40657	"female"	FALSE	TRUE
3	0	FALSE	6.050488	0	TRUE	10.3	"fair"	9.299645	2.079442	7	46.40657	"female"	FALSE	TRUE
5	0	FALSE	6.050488	0	FALSE	10.3	"good"	9.299645	1.386294	3	49.30322	"male"	FALSE	TRUE
0	0	FALSE	6.050488	0	FALSE	10.3	"good"	9.299645	1.791759	3	50.30322	"male"	FALSE	TRUE
0	0	FALSE	6.050488	0	FALSE	10.3	"good"	9.299645	1.94591	3	51.30322	"male"	FALSE	TRUE
14	0	FALSE	6.050488	0	FALSE	10.3	"good"	9.299645	2.079442	3	52.30322	"male"	FALSE	TRUE
7	0	FALSE	6.050488	0	FALSE	10.3	"good"	9.299645	2.079442	3	53.30322	"male"	FALSE	TRUE
5	0	FALSE	5.88566	0	TRUE	27.6	"good"	9.2224	1.609438	12	32.93634	"female"	FALSE	TRUE
0	0	FALSE	5.88566	0	TRUE	27.6	"good"	9.2224	1.609438	12	33.93634	"female"	FALSE	TRUE
2	0	FALSE	5.88566	0	TRUE	27.6	"good"	9.2224	1.609438	12	34.93634	"female"	FALSE	TRUE
2	0	FALSE	5.88566	0	FALSE	10.57626	"excellent"	9.2224	1.609438	12	9.429158	"female"	TRUE	TRUE
0	0	FALSE	5.88566	0	FALSE	10.57626	"excellent"	9.2224	1.609438	12	10.42916	"female"	TRUE	TRUE
0	0	FALSE	5.88566	0	FALSE	10.57626	"excellent"	9.2224	1.609438	12	11.42916	"female"	TRUE	TRUE
4	0	FALSE	5.88566	0	FALSE	10.57626	"good"	9.2224	1.609438	12	6.310746	"male"	TRUE	TRUE
1	0	FALSE	5.88566	0	FALSE	10.57626	"good"	9.2224	1.609438	12	7.310746	"male"	TRUE	TRUE
0	0	FALSE	5.88566	0	FALSE	10.57626	"good"	9.2224	1.609438	12	8.310746	"male"	TRUE	TRUE
1	0	FALSE	5.88566	0	FALSE	10.3	"excellent"	9.2224	1.609438	12	28.33949	"male"	FALSE	TRUE
2	0	FALSE	5.88566	0	FALSE	10.3	"excellent"	9.2224	1.609438	12	29.33949	"male"	FALSE	TRUE
3	0	FALSE	5.88566	0	FALSE	10.3	"excellent"	9.2224	1.609438	12	30.33949	"male"	FALSE	TRUE
5	0	FALSE	5.88566	0	TRUE	10.57626	"good"	9.2224	1.609438	12	11.98083	"male"	TRUE	TRUE
0	0	FALSE	5.88566	0	TRUE	10.57626	"good"	9.2224	1.609438	12	12.98083	"male"	TRUE	TRUE
0	0	FALSE	5.88566	0	TRUE	10.57626	"good"	9.2224	1.609438	12	13.98083	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	13.8	"good"	6.740347	1.098612	7	36.46817	"male"	FALSE	FALSE
3	0	FALSE	0	0	FALSE	13.8	"good"	6.740347	1.098612	7	37.46817	"male"	FALSE	FALSE
7	0	FALSE	0	0	TRUE	17.2	"poor"	6.740347	1.098612	7	36.49555	"female"	FALSE	FALSE
18	0	FALSE	0	0	TRUE	17.2	"poor"	6.740347	1.098612	7	37.49555	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	6.160541	TRUE	6.9	"excellent"	7.816326	1.098612	6	58.19849	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	TRUE	6.9	"excellent"	7.816326	1.386294	6	59.19849	"female"	FALSE	TRUE
1	4.564348	TRUE	5.703783	6.160541	TRUE	6.9	"excellent"	7.816326	1.386294	6	60.19849	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"excellent"	7.816326	1.098612	6	17.45106	"male"	TRUE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"excellent"	7.816326	1.386294	6	18.45106	"male"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"excellent"	7.816326	1.386294	6	19.45106	"male"	FALSE	TRUE
1	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"good"	7.816326	1.098612	12	20.89254	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"good"	7.816326	1.386294	12	21.89254	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.3	"good"	7.816326	1.386294	12	22.89254	"female"	FALSE	TRUE
1	0	FALSE	6.704414	0	FALSE	6.9	"fair"	8.743331	1.098612	7	30.36003	"male"	FALSE	FALSE
3	0	FALSE	6.704414	0	FALSE	6.9	"fair"	8.743331	1.098612	7	31.36003	"male"	FALSE	FALSE
0	0	FALSE	6.704414	0	FALSE	6.9	"fair"	8.743331	1.098612	7	32.36003	"male"	FALSE	FALSE
1	0	FALSE	6.704414	0	FALSE	6.9	"fair"	8.743331	1.098612	7	33.36003	"male"	FALSE	FALSE
0	0	FALSE	6.704414	0	FALSE	6.9	"fair"	8.743331	1.098612	7	34.36003	"male"	FALSE	FALSE
1	0	FALSE	6.704414	0	FALSE	10.57626	"good"	8.743331	1.098612	7	12.24914	"male"	TRUE	FALSE
0	0	FALSE	6.704414	0	FALSE	10.57626	"good"	8.743331	1.098612	7	13.24914	"male"	TRUE	FALSE
2	0	FALSE	6.704414	0	FALSE	10.57626	"good"	8.743331	1.098612	7	14.24914	"male"	TRUE	FALSE
1	0	FALSE	6.704414	0	FALSE	10.57626	"good"	8.743331	1.098612	7	15.24914	"male"	TRUE	FALSE
1	0	FALSE	6.704414	0	FALSE	10.57626	"good"	8.743331	1.098612	7	16.24914	"male"	TRUE	FALSE
11	0	FALSE	6.704414	0	FALSE	10.3	"fair"	8.743331	1.098612	7	35.98631	"female"	FALSE	FALSE
5	0	FALSE	6.704414	0	FALSE	10.3	"fair"	8.743331	1.098612	7	36.98631	"female"	FALSE	FALSE
1	0	FALSE	6.704414	0	FALSE	10.3	"fair"	8.743331	1.098612	7	37.98631	"female"	FALSE	FALSE
5	0	FALSE	6.704414	0	FALSE	10.3	"fair"	8.743331	1.098612	7	38.98631	"female"	FALSE	FALSE
7	0	FALSE	6.704414	0	FALSE	10.3	"fair"	8.743331	1.098612	7	39.98631	"female"	FALSE	FALSE
13	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"excellent"	9.087935	0.6931472	12	38.39562	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"excellent"	9.087935	0.6931472	12	39.39562	"male"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"excellent"	9.087935	0.6931472	12	40.39562	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"poor"	9.087935	0.6931472	12	35.08282	"female"	FALSE	FALSE
6	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"poor"	9.087935	0.6931472	12	36.08282	"female"	FALSE	FALSE
6	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"poor"	9.087935	0.6931472	12	37.08282	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.386294	11	30.11636	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.609438	11	31.11636	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	8.815269	1.609438	11	32.11636	"male"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	8.815269	1.386294	10	6.450377	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	8.815269	1.609438	10	7.450377	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"good"	8.815269	1.609438	10	8.450377	"male"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.815269	1.386294	10	24.06297	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.815269	1.609438	10	25.06297	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	0	"good"	8.815269	1.609438	10	26.06297	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	9.143537	0.6931472	11	32.07118	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	9.143537	0.6931472	11	33.07118	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"fair"	9.143537	0.6931472	11	34.07118	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.143537	0.6931472	12	31.59206	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.143537	0.6931472	12	32.59206	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	9.143537	0.6931472	12	33.59206	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.839666	0	12	53.48391	"male"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.839666	0	12	54.48391	"male"	FALSE	TRUE
5	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.839666	0	12	55.48391	"male"	FALSE	TRUE
3	0	FALSE	5.957701	0	FALSE	6.9	"good"	7.072146	1.609438	12	33.21287	"male"	FALSE	FALSE
1	0	FALSE	5.957701	0	FALSE	6.9	"good"	7.072146	1.609438	12	30.45859	"female"	FALSE	FALSE
1	0	FALSE	5.957701	0	FALSE	6.9	"good"	7.072146	1.386294	12	31.45859	"female"	FALSE	FALSE
0	0	FALSE	5.957701	0	FALSE	6.9	"good"	7.072146	1.386294	12	32.45859	"female"	FALSE	FALSE
3	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.609438	12	11.58385	"female"	TRUE	FALSE
1	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.386294	12	12.58385	"female"	TRUE	FALSE
3	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.386294	12	13.58385	"female"	TRUE	FALSE
2	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.609438	12	4.375085	"female"	TRUE	FALSE
1	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.386294	12	5.375085	"female"	TRUE	FALSE
0	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.386294	12	6.375085	"female"	TRUE	FALSE
3	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.609438	12	9.516769	"female"	TRUE	FALSE
2	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.386294	12	10.51677	"female"	TRUE	FALSE
1	0	FALSE	5.957701	0	FALSE	10.57626	"excellent"	7.072146	1.386294	12	11.51677	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.232317	1.098612	16	34.93224	"female"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.232317	1.098612	16	35.93224	"female"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	6.9	"good"	9.232317	1.098612	16	36.93224	"female"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.232317	1.098612	12	34.8857	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.232317	1.098612	12	35.8857	"male"	FALSE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	3.4	"excellent"	9.232317	1.098612	12	36.8857	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.535704	1.386294	16	11.90691	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.535704	1.098612	16	12.90691	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.535704	1.098612	16	13.90691	"female"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	TRUE	17.2	"good"	9.535704	1.386294	16	41.6783	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.535704	1.386294	16	10.34086	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.535704	1.098612	16	11.34086	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.535704	1.098612	16	12.34086	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.535704	1.386294	16	38.40383	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.535704	1.098612	16	39.40383	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	9.535704	1.098612	16	40.40383	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	8.594889	0.6931472	12	16.70089	"female"	TRUE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	8.594889	0.6931472	12	17.70089	"female"	TRUE	FALSE
2	4.564348	TRUE	5.703783	5.755076	FALSE	6.9	"excellent"	8.594889	0.6931472	12	18.70089	"female"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.594889	0.6931472	12	47.29364	"female"	FALSE	FALSE
7	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.594889	0.6931472	12	48.29364	"female"	FALSE	FALSE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.594889	0.6931472	12	49.29364	"female"	FALSE	FALSE
2	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.584002	1.386294	12	44.37235	"male"	FALSE	FALSE
2	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.584002	1.386294	12	45.37235	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.584002	1.386294	12	46.37235	"male"	FALSE	FALSE
20	4.564348	FALSE	6.49224	5.781393	FALSE	20.7	"good"	8.583071	1.609438	9	20.58316	"female"	FALSE	FALSE
24	4.564348	FALSE	6.49224	5.781393	FALSE	20.7	"good"	8.583071	1.609438	9	21.58316	"female"	FALSE	FALSE
17	4.564348	FALSE	6.49224	5.781393	FALSE	20.7	"good"	8.583071	1.609438	9	22.58316	"female"	FALSE	FALSE
0	4.564348	FALSE	6.49224	5.781393	FALSE	3.4	"good"	8.583071	1.609438	12	24.30116	"male"	FALSE	FALSE
0	4.564348	FALSE	6.49224	5.781393	FALSE	3.4	"good"	8.583071	1.609438	12	25.30116	"male"	FALSE	FALSE
0	4.564348	FALSE	6.49224	5.781393	FALSE	3.4	"good"	8.583071	1.609438	12	26.30116	"male"	FALSE	FALSE
9	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"good"	8.583071	1.609438	9	2.863792	"male"	TRUE	FALSE
4	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"good"	8.583071	1.609438	9	3.863792	"male"	TRUE	FALSE
5	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"good"	8.583071	1.609438	9	4.863792	"male"	TRUE	FALSE
1	0	FALSE	5.482637	0	TRUE	10.3	"good"	8.89451	1.098612	12	22.97878	"male"	FALSE	TRUE
2	0	FALSE	5.482637	0	TRUE	10.3	"good"	8.89451	1.098612	12	23.97878	"male"	FALSE	TRUE
2	0	FALSE	5.482637	0	TRUE	10.3	"good"	8.89451	1.098612	12	24.97878	"male"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	5.853525	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	6.853525	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	7.853525	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	8.853525	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	9.853525	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.57626	"good"	8.442407	1.94591	11	11.67967	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.57626	"good"	8.442407	1.94591	11	12.67967	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.57626	"good"	8.442407	1.94591	11	13.67967	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.57626	"good"	8.442407	1.94591	11	14.67967	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.57626	"good"	8.442407	1.94591	11	15.67967	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	9.908282	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	10.90828	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	11.90828	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	12.90828	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"fair"	8.442407	1.94591	11	13.90828	"female"	TRUE	TRUE
2	3.258096	FALSE	6.055495	7.44179	FALSE	10.3	"poor"	8.442407	1.94591	11	27.36756	"female"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.3	"poor"	8.442407	1.94591	11	28.36756	"female"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.3	"poor"	8.442407	1.94591	11	29.36756	"female"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.3	"poor"	8.442407	1.94591	11	30.36756	"female"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	10.3	"poor"	8.442407	1.94591	11	31.36756	"female"	FALSE	TRUE
5	3.258096	FALSE	6.055495	7.44179	FALSE	20.7	"good"	8.442407	1.94591	12	29.63176	"male"	FALSE	TRUE
1	3.258096	FALSE	6.055495	7.44179	FALSE	20.7	"good"	8.442407	1.94591	12	30.63176	"male"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	20.7	"good"	8.442407	1.94591	12	31.63176	"male"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	FALSE	20.7	"good"	8.442407	1.94591	12	32.63176	"male"	FALSE	TRUE
1	3.258096	FALSE	6.055495	7.44179	FALSE	20.7	"good"	8.442407	1.94591	12	33.63176	"male"	FALSE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	1.984942	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	2.984942	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	3.984942	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	4.984942	"female"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	5.984942	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.81219	0.6931472	12	22.52977	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.81219	0.6931472	12	23.52977	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.81219	0.6931472	12	24.52977	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	13.33881	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	14.33881	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	15.33881	"female"	TRUE	TRUE
1	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.815269	1.791759	10	47.15948	"female"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.815269	1.791759	10	48.15948	"female"	FALSE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	3.4	"good"	8.815269	1.791759	10	49.15948	"female"	FALSE	TRUE
1	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	9.371663	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	10.37166	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	11.37166	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"excellent"	8.815269	1.791759	11	21.73032	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"excellent"	8.815269	1.791759	11	22.73032	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	24.1	"excellent"	8.815269	1.791759	11	23.73032	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	1.791759	10	14.42026	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	1.791759	10	15.42026	"male"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	8.815269	1.791759	10	16.42026	"male"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	6.9	"excellent"	9.299485	1.386294	16	37.17454	"male"	FALSE	FALSE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	9.299485	1.386294	16	38.17454	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	6.9	"excellent"	9.299485	1.386294	16	39.17454	"male"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.299485	1.386294	14	7.110198	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.299485	1.386294	14	8.110198	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.299485	1.386294	14	9.110198	"male"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.3	"excellent"	9.299485	1.386294	14	33.80698	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.3	"excellent"	9.299485	1.386294	14	34.80698	"female"	FALSE	FALSE
11	0	FALSE	0	0	FALSE	10.3	"excellent"	9.299485	1.386294	14	35.80698	"female"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.299485	1.386294	14	8.758385	"male"	TRUE	FALSE
10	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.299485	1.386294	14	9.758385	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.299485	1.386294	14	10.75838	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.318074	1.609438	11	14.51608	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.318074	1.609438	11	15.51608	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	3.4	"fair"	8.318074	1.609438	11	16.51608	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	3.4	"good"	8.318074	1.609438	7	34.53251	"male"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	3.4	"good"	8.318074	1.609438	7	35.53251	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	3.4	"good"	8.318074	1.609438	7	36.53251	"male"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.318074	1.609438	11	6.20397	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.318074	1.609438	11	7.20397	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.318074	1.609438	11	8.20397	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"good"	8.318074	1.609438	11	7.578371	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"good"	8.318074	1.609438	11	8.578371	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.318074	1.609438	11	9.578371	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.3	"fair"	8.318074	1.609438	11	32.79124	"female"	FALSE	TRUE
7	0	FALSE	0	0	FALSE	10.3	"fair"	8.318074	1.609438	11	33.79124	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	10.3	"fair"	8.318074	1.609438	11	34.79124	"female"	FALSE	TRUE
0	4.564348	TRUE	6.119022	5.755076	FALSE	3.4	"excellent"	8.78237	0.6931472	17	16.28747	"female"	TRUE	TRUE
1	4.564348	TRUE	6.119022	5.755076	FALSE	3.4	"excellent"	8.78237	0.6931472	17	17.28747	"female"	TRUE	TRUE
0	4.564348	TRUE	6.119022	5.755076	FALSE	3.4	"excellent"	8.78237	0.6931472	17	18.28747	"female"	FALSE	TRUE
0	4.564348	TRUE	6.119022	5.755076	FALSE	3.4	"excellent"	8.78237	0.6931472	17	19.28747	"female"	FALSE	TRUE
0	4.564348	TRUE	6.119022	5.755076	FALSE	3.4	"excellent"	8.78237	0.6931472	17	20.28747	"female"	FALSE	TRUE
1	4.564348	TRUE	6.119022	5.755076	FALSE	6.9	"excellent"	8.78237	0.6931472	17	46.33812	"female"	FALSE	TRUE
0	4.564348	TRUE	6.119022	5.755076	FALSE	6.9	"excellent"	8.78237	0.6931472	17	47.33812	"female"	FALSE	TRUE
0	4.564348	TRUE	6.119022	5.755076	FALSE	6.9	"excellent"	8.78237	0.6931472	17	48.33812	"female"	FALSE	TRUE
1	4.564348	TRUE	6.119022	5.755076	FALSE	6.9	"excellent"	8.78237	0.6931472	17	49.33812	"female"	FALSE	TRUE
3	4.564348	TRUE	6.119022	5.755076	FALSE	6.9	"excellent"	8.78237	0.6931472	17	50.33812	"female"	FALSE	TRUE
2	0	FALSE	5.285232	0	FALSE	3.4	"excellent"	8.815269	1.386294	16	14.73785	"male"	TRUE	FALSE
6	0	FALSE	5.285232	0	FALSE	3.4	"excellent"	8.815269	1.386294	16	15.73785	"male"	TRUE	FALSE
6	0	FALSE	5.285232	0	FALSE	3.4	"excellent"	8.815269	1.386294	16	16.73785	"male"	TRUE	FALSE
1	0	FALSE	5.285232	0	FALSE	3.4	"excellent"	8.815269	1.386294	20	39.17043	"male"	FALSE	FALSE
8	0	FALSE	5.285232	0	FALSE	3.4	"excellent"	8.815269	1.386294	20	40.17043	"male"	FALSE	FALSE
5	0	FALSE	5.285232	0	FALSE	3.4	"excellent"	8.815269	1.386294	20	41.17043	"male"	FALSE	FALSE
6	0	FALSE	5.285232	0	FALSE	10.57626	"excellent"	8.815269	1.386294	16	9.404517	"male"	TRUE	FALSE
5	0	FALSE	5.285232	0	FALSE	10.57626	"excellent"	8.815269	1.386294	16	10.40452	"male"	TRUE	FALSE
4	0	FALSE	5.285232	0	FALSE	10.57626	"excellent"	8.815269	1.386294	16	11.40452	"male"	TRUE	FALSE
24	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	8.815269	1.386294	16	36.7091	"female"	FALSE	FALSE
12	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	8.815269	1.386294	16	37.7091	"female"	FALSE	FALSE
9	0	FALSE	5.285232	0	FALSE	10.3	"excellent"	8.815269	1.386294	16	38.7091	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	9.005482	1.609438	11	27.2334	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	9.005482	1.609438	11	28.2334	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	9.005482	1.609438	11	29.2334	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	9.005482	1.609438	11	30.2334	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"fair"	9.005482	1.609438	11	31.2334	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.005482	1.609438	11	7.466119	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.005482	1.609438	11	8.466119	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.005482	1.609438	11	9.466119	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.005482	1.609438	11	10.46612	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"good"	9.005482	1.609438	11	11.46612	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	4.89254	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	5.89254	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	6.89254	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	7.89254	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	8.892539	"male"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.005482	1.609438	12	29.28679	"male"	FALSE	FALSE
8	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.005482	1.609438	12	30.28679	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.005482	1.609438	12	31.28679	"male"	FALSE	FALSE
9	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.005482	1.609438	12	32.28679	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	6.9	"excellent"	9.005482	1.609438	12	33.28679	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	2.850103	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	3.850103	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	4.850103	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	5.850103	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.005482	1.609438	11	6.850103	"female"	TRUE	FALSE
0	4.564348	TRUE	6.313548	6.160541	FALSE	6.9	"excellent"	8.182147	1.098612	8	19.14305	"male"	FALSE	TRUE
0	4.564348	TRUE	6.313548	6.160541	FALSE	6.9	"excellent"	8.182147	1.098612	8	20.14305	"male"	FALSE	TRUE
0	4.564348	TRUE	6.313548	6.160541	FALSE	6.9	"excellent"	8.182147	1.098612	8	21.14305	"male"	FALSE	TRUE
11	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.815269	0.6931472	19	61.17728	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.815269	0.6931472	19	62.17728	"male"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	0	"excellent"	8.815269	0.6931472	19	63.17728	"male"	FALSE	FALSE
4	4.564348	FALSE	6.907755	6.959049	FALSE	31	"excellent"	8.815269	0.6931472	12	52.95277	"female"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	FALSE	31	"excellent"	8.815269	0.6931472	12	53.95277	"female"	FALSE	FALSE
3	4.564348	FALSE	6.907755	6.959049	FALSE	31	"excellent"	8.815269	0.6931472	12	54.95277	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.803488	1.609438	12	7.058179	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.803488	1.609438	12	8.058179	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.803488	1.609438	12	9.058179	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.803488	1.609438	12	30.80903	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.803488	1.609438	12	31.80903	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.803488	1.609438	12	32.80904	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.803488	1.609438	12	4.213552	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.803488	1.609438	12	5.213552	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	8.803488	1.609438	12	6.213552	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.803488	1.609438	12	30.40931	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.803488	1.609438	12	31.40931	"male"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.803488	1.609438	12	32.40931	"male"	FALSE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	6.9	"excellent"	7.191572	2.079442	12	14.15469	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	6.9	"excellent"	7.191572	2.079442	12	15.15469	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	6.9	"excellent"	7.191572	1.791759	12	16.15469	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	13.8	"excellent"	7.191572	2.079442	12	35.20329	"female"	FALSE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	13.8	"excellent"	7.191572	2.079442	12	36.20329	"female"	FALSE	TRUE
7	3.258096	FALSE	6.067036	7.45333	FALSE	13.8	"excellent"	7.191572	1.791759	12	37.20329	"female"	FALSE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	3.4	"excellent"	7.191572	2.079442	12	15.57837	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	3.4	"excellent"	7.191572	2.079442	12	16.57837	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	2.079442	12	12.82135	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	2.079442	12	13.82135	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	1.791759	12	14.82135	"male"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	3.4	"excellent"	7.191572	2.079442	7	37.06503	"male"	FALSE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	3.4	"excellent"	7.191572	2.079442	7	38.06503	"male"	FALSE	TRUE
3	3.258096	FALSE	6.067036	7.45333	FALSE	3.4	"excellent"	7.191572	1.791759	7	39.06503	"male"	FALSE	TRUE
1	3.258096	FALSE	6.067036	7.45333	FALSE	3.4	"excellent"	7.191572	2.079442	7	19.2909	"female"	FALSE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	3.4	"excellent"	7.191572	2.079442	7	20.2909	"female"	FALSE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	2.079442	12	11.53183	"female"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	2.079442	12	12.53183	"female"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	1.791759	12	13.53183	"female"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	2.079442	12	9.782341	"female"	TRUE	TRUE
0	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	2.079442	12	10.78234	"female"	TRUE	TRUE
1	3.258096	FALSE	6.067036	7.45333	FALSE	10.57626	"excellent"	7.191572	1.791759	12	11.78234	"female"	TRUE	TRUE
6	3.258096	FALSE	6.874819	8.006368	FALSE	3.4	"good"	8.921869	1.386294	12	17.39904	"male"	TRUE	FALSE
3	3.258096	FALSE	6.874819	8.006368	FALSE	3.4	"good"	8.921869	1.386294	12	18.39904	"male"	FALSE	FALSE
6	3.258096	FALSE	6.874819	8.006368	FALSE	3.4	"good"	8.921869	1.609438	12	19.39904	"male"	FALSE	FALSE
0	3.258096	FALSE	6.874819	8.006368	FALSE	17.2	"good"	8.921869	1.386294	12	44.52567	"female"	FALSE	FALSE
0	3.258096	FALSE	6.874819	8.006368	FALSE	17.2	"good"	8.921869	1.386294	12	45.52567	"female"	FALSE	FALSE
4	3.258096	FALSE	6.874819	8.006368	FALSE	17.2	"good"	8.921869	1.609438	12	46.52567	"female"	FALSE	FALSE
0	3.258096	FALSE	6.874819	8.006368	FALSE	3.4	"good"	8.921869	1.386294	12	15.41684	"female"	TRUE	FALSE
1	3.258096	FALSE	6.874819	8.006368	FALSE	3.4	"good"	8.921869	1.386294	12	16.41684	"female"	TRUE	FALSE
3	3.258096	FALSE	6.874819	8.006368	FALSE	3.4	"good"	8.921869	1.609438	12	17.41684	"female"	TRUE	FALSE
1	3.258096	FALSE	6.874819	8.006368	TRUE	10.3	"good"	8.921869	1.386294	12	44.33128	"male"	FALSE	FALSE
0	3.258096	FALSE	6.874819	8.006368	TRUE	10.3	"good"	8.921869	1.386294	12	45.33128	"male"	FALSE	FALSE
7	3.258096	FALSE	6.874819	8.006368	TRUE	10.3	"good"	8.921869	1.609438	12	46.33128	"male"	FALSE	FALSE
7	0	FALSE	6.243312	0	FALSE	10.3	"good"	7.899271	1.098612	12	23.64134	"female"	FALSE	FALSE
8	0	FALSE	6.243312	0	FALSE	10.3	"good"	7.899271	1.098612	12	24.64134	"female"	FALSE	FALSE
8	0	FALSE	6.243312	0	FALSE	10.3	"good"	7.899271	1.098612	12	25.64134	"female"	FALSE	FALSE
4	0	FALSE	6.243312	0	FALSE	10.57626	"excellent"	7.899271	1.098612	12	5.727584	"female"	TRUE	FALSE
4	0	FALSE	6.243312	0	FALSE	10.57626	"excellent"	7.899271	1.098612	12	6.727584	"female"	TRUE	FALSE
8	0	FALSE	6.243312	0	FALSE	10.57626	"excellent"	7.899271	1.098612	12	7.727584	"female"	TRUE	FALSE
4	0	FALSE	6.243312	0	FALSE	13.8	"excellent"	7.899271	1.098612	12	24.11773	"male"	FALSE	FALSE
4	0	FALSE	6.243312	0	FALSE	13.8	"excellent"	7.899271	1.098612	12	25.11773	"male"	FALSE	FALSE
0	0	FALSE	6.243312	0	FALSE	13.8	"excellent"	7.899271	1.098612	12	26.11773	"male"	FALSE	FALSE
1	3.258096	FALSE	6.841616	8.006368	TRUE	20.7	"good"	9.02247	0.6931472	11	61.99863	"male"	FALSE	FALSE
3	3.258096	FALSE	6.841616	8.006368	TRUE	20.7	"good"	9.02247	0.6931472	11	62.99863	"male"	FALSE	FALSE
1	3.258096	FALSE	6.841616	8.006368	TRUE	20.7	"good"	9.02247	0.6931472	11	63.99863	"male"	FALSE	FALSE
1	3.258096	FALSE	6.841616	8.006368	TRUE	24.1	"good"	9.02247	0.6931472	14	61.1718	"female"	FALSE	FALSE
1	3.258096	FALSE	6.841616	8.006368	TRUE	24.1	"good"	9.02247	0.6931472	14	62.1718	"female"	FALSE	FALSE
4	3.258096	FALSE	6.841616	8.006368	TRUE	24.1	"good"	9.02247	0.6931472	14	63.1718	"female"	FALSE	FALSE
1	0	FALSE	5.267652	0	FALSE	3.4	"excellent"	9.448747	1.609438	10	28.23545	"female"	FALSE	FALSE
8	0	FALSE	5.267652	0	FALSE	3.4	"excellent"	9.448747	1.609438	10	29.23545	"female"	FALSE	FALSE
4	0	FALSE	5.267652	0	FALSE	3.4	"excellent"	9.448747	1.609438	10	30.23545	"female"	FALSE	FALSE
2	0	FALSE	5.267652	0	FALSE	6.9	"excellent"	9.448747	1.609438	12	35.11567	"male"	FALSE	FALSE
0	0	FALSE	5.267652	0	FALSE	6.9	"excellent"	9.448747	1.609438	12	36.11567	"male"	FALSE	FALSE
0	0	FALSE	5.267652	0	FALSE	6.9	"excellent"	9.448747	1.609438	12	37.11567	"male"	FALSE	FALSE
0	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	6.622861	"female"	TRUE	FALSE
0	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	7.622861	"female"	TRUE	FALSE
2	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	8.622861	"female"	TRUE	FALSE
2	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	8.188911	"female"	TRUE	FALSE
2	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	9.188911	"female"	TRUE	FALSE
0	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	10.18891	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	0	1.098612	12	9.971252	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	0	1.098612	12	10.97125	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	0	1.098612	12	11.97125	"female"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	0	1.098612	12	7.118412	"female"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	0	1.098612	12	8.118412	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"good"	0	1.098612	12	9.118412	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	0	1.098612	12	31.29637	"female"	FALSE	TRUE
2	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	0	1.098612	12	32.29637	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"good"	0	1.098612	12	33.29637	"female"	FALSE	TRUE
1	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.763554	1.609438	5	9.952087	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	8.763554	1.609438	5	16.93634	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.763554	1.609438	5	7.581109	"female"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"good"	8.763554	1.609438	5	34.39562	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	24.1	"excellent"	8.763554	1.609438	7	36.9911	"male"	FALSE	FALSE
2	0	FALSE	6.717563	0	FALSE	10.3	"excellent"	7.114671	1.609438	16	39.78097	"male"	FALSE	FALSE
2	0	FALSE	6.717563	0	FALSE	10.3	"excellent"	7.114671	1.609438	16	40.78097	"male"	FALSE	FALSE
5	0	FALSE	6.717563	0	FALSE	10.3	"excellent"	7.114671	1.609438	16	41.78097	"male"	FALSE	FALSE
2	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	13.45927	"male"	TRUE	FALSE
2	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	14.45927	"male"	TRUE	FALSE
3	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	15.45927	"male"	TRUE	FALSE
17	0	FALSE	6.717563	0	FALSE	6.9	"excellent"	7.114671	1.609438	13	34.71595	"female"	FALSE	FALSE
19	0	FALSE	6.717563	0	FALSE	6.9	"excellent"	7.114671	1.609438	13	35.71595	"female"	FALSE	FALSE
20	0	FALSE	6.717563	0	FALSE	6.9	"excellent"	7.114671	1.609438	13	36.71595	"female"	FALSE	FALSE
2	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	6.880219	"female"	TRUE	FALSE
3	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	7.880219	"female"	TRUE	FALSE
7	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	8.880219	"female"	TRUE	FALSE
4	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	12.37509	"male"	TRUE	FALSE
6	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	13.37509	"male"	TRUE	FALSE
3	0	FALSE	6.717563	0	FALSE	10.57626	"excellent"	7.114671	1.609438	13	14.37509	"male"	TRUE	FALSE
0	4.564348	TRUE	5.56268	5.061929	FALSE	24.1	"poor"	7.719983	0	6	57.31691	"female"	FALSE	FALSE
2	4.564348	TRUE	5.56268	5.061929	FALSE	24.1	"poor"	7.719983	0	6	58.31691	"female"	FALSE	FALSE
1	4.564348	TRUE	5.56268	5.061929	FALSE	24.1	"poor"	7.719983	0	6	59.31691	"female"	FALSE	FALSE
0	4.564348	FALSE	5.969474	6.020768	FALSE	6.9	"fair"	8.815269	0.6931472	8	15.5373	"female"	TRUE	TRUE
0	4.564348	FALSE	5.969474	6.020768	FALSE	6.9	"fair"	8.815269	0.6931472	8	16.5373	"female"	TRUE	TRUE
2	4.564348	FALSE	5.969474	6.020768	TRUE	20.7	"fair"	8.815269	0.6931472	8	57.06503	"female"	FALSE	TRUE
0	4.564348	FALSE	5.969474	6.020768	TRUE	20.7	"fair"	8.815269	0.6931472	8	58.06503	"female"	FALSE	TRUE
0	4.564348	FALSE	5.969474	6.020768	TRUE	20.7	"fair"	8.815269	0	8	59.06503	"female"	FALSE	TRUE
0	4.564348	FALSE	6.265776	6.31707	FALSE	20.7	"good"	8.352105	0	12	55.9206	"female"	FALSE	FALSE
5	4.564348	FALSE	6.265776	6.31707	FALSE	20.7	"good"	8.352105	0	12	56.9206	"female"	FALSE	FALSE
0	4.564348	FALSE	6.265776	6.31707	FALSE	20.7	"good"	8.352105	0	12	57.9206	"female"	FALSE	FALSE
6	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"excellent"	8.594909	1.386294	14	0.8268309	"female"	TRUE	FALSE
4	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"excellent"	8.594909	1.386294	14	1.826831	"female"	TRUE	FALSE
8	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"excellent"	8.594909	1.386294	14	2.826831	"female"	TRUE	FALSE
6	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"excellent"	8.594909	1.386294	14	3.826831	"female"	TRUE	FALSE
11	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"excellent"	8.594909	1.386294	14	4.826831	"female"	TRUE	FALSE
6	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"good"	8.594909	1.386294	14	5.155373	"female"	TRUE	FALSE
9	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"good"	8.594909	1.386294	14	6.155373	"female"	TRUE	FALSE
9	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"good"	8.594909	1.386294	14	7.155373	"female"	TRUE	FALSE
3	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"good"	8.594909	1.386294	14	8.155373	"female"	TRUE	FALSE
3	3.258096	FALSE	6.174827	7.561121	FALSE	10.57626	"good"	8.594909	1.386294	14	9.155373	"female"	TRUE	FALSE
1	3.258096	FALSE	6.174827	7.561121	FALSE	17.2	"good"	8.594909	1.386294	14	32.80767	"male"	FALSE	FALSE
0	3.258096	FALSE	6.174827	7.561121	FALSE	17.2	"good"	8.594909	1.386294	14	33.80767	"male"	FALSE	FALSE
1	3.258096	FALSE	6.174827	7.561121	FALSE	17.2	"good"	8.594909	1.386294	14	34.80767	"male"	FALSE	FALSE
3	3.258096	FALSE	6.174827	7.561121	FALSE	17.2	"good"	8.594909	1.386294	14	35.80767	"male"	FALSE	FALSE
0	3.258096	FALSE	6.174827	7.561121	FALSE	17.2	"good"	8.594909	1.386294	14	36.80767	"male"	FALSE	FALSE
3	3.258096	FALSE	6.174827	7.561121	FALSE	24.1	"good"	8.594909	1.386294	14	31.65503	"female"	FALSE	FALSE
2	3.258096	FALSE	6.174827	7.561121	FALSE	24.1	"good"	8.594909	1.386294	14	32.65503	"female"	FALSE	FALSE
3	3.258096	FALSE	6.174827	7.561121	FALSE	24.1	"good"	8.594909	1.386294	14	33.65503	"female"	FALSE	FALSE
4	3.258096	FALSE	6.174827	7.561121	FALSE	24.1	"good"	8.594909	1.386294	14	34.65503	"female"	FALSE	FALSE
1	3.258096	FALSE	6.174827	7.561121	FALSE	24.1	"good"	8.594909	1.386294	14	35.65503	"female"	FALSE	FALSE
0	3.258096	FALSE	6.500689	7.886983	TRUE	24.1	"excellent"	8.652985	1.386294	14	16.44353	"female"	TRUE	TRUE
2	3.258096	FALSE	6.500689	7.886983	TRUE	24.1	"excellent"	8.652985	1.386294	14	17.44353	"female"	TRUE	TRUE
2	3.258096	FALSE	6.500689	7.886983	TRUE	24.1	"excellent"	8.652985	1.386294	14	18.44353	"female"	FALSE	TRUE
1	3.258096	FALSE	6.500689	7.886983	TRUE	24.1	"excellent"	8.652985	1.386294	14	19.44353	"female"	FALSE	TRUE
2	3.258096	FALSE	6.500689	7.886983	FALSE	3.4	"excellent"	8.652985	1.386294	14	14.4668	"male"	TRUE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	3.4	"excellent"	8.652985	1.386294	14	15.4668	"male"	TRUE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	3.4	"excellent"	8.652985	1.386294	14	16.4668	"male"	TRUE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	3.4	"excellent"	8.652985	1.386294	14	17.4668	"male"	TRUE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	3.4	"excellent"	8.652985	1.098612	14	18.4668	"male"	FALSE	TRUE
2	3.258096	FALSE	6.500689	7.886983	FALSE	13.8	"excellent"	8.652985	1.386294	14	42.55442	"female"	FALSE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	13.8	"excellent"	8.652985	1.386294	14	43.55442	"female"	FALSE	TRUE
1	3.258096	FALSE	6.500689	7.886983	FALSE	13.8	"excellent"	8.652985	1.386294	14	44.55442	"female"	FALSE	TRUE
1	3.258096	FALSE	6.500689	7.886983	FALSE	13.8	"excellent"	8.652985	1.386294	14	45.55442	"female"	FALSE	TRUE
2	3.258096	FALSE	6.500689	7.886983	FALSE	13.8	"excellent"	8.652985	1.098612	14	46.55442	"female"	FALSE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	6.9	"excellent"	8.652985	1.386294	11	18.37919	"male"	FALSE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	6.9	"excellent"	8.652985	1.386294	11	19.37919	"male"	FALSE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	6.9	"excellent"	8.652985	1.386294	11	20.37919	"male"	FALSE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	6.9	"excellent"	8.652985	1.386294	11	21.37919	"male"	FALSE	TRUE
0	3.258096	FALSE	6.500689	7.886983	FALSE	6.9	"excellent"	8.652985	1.098612	11	22.37919	"male"	FALSE	TRUE
5	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	6.431211	"male"	TRUE	FALSE
5	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	7.431211	"male"	TRUE	FALSE
3	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	8.431211	"male"	TRUE	FALSE
8	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	9.431211	"male"	TRUE	FALSE
8	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	10.43121	"male"	TRUE	FALSE
2	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	10.70226	"female"	TRUE	FALSE
2	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	11.70226	"female"	TRUE	FALSE
2	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	12.70226	"female"	TRUE	FALSE
2	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	13.70226	"female"	TRUE	FALSE
3	0	FALSE	6.163736	0	FALSE	10.57626	"excellent"	9.099537	1.386294	12	14.70226	"female"	TRUE	FALSE
2	0	FALSE	6.163736	0	FALSE	0	"excellent"	9.099537	1.386294	14	31.23614	"male"	FALSE	FALSE
2	0	FALSE	6.163736	0	FALSE	0	"excellent"	9.099537	1.386294	14	32.23614	"male"	FALSE	FALSE
2	0	FALSE	6.163736	0	FALSE	0	"excellent"	9.099537	1.386294	14	33.23614	"male"	FALSE	FALSE
1	0	FALSE	6.163736	0	FALSE	0	"excellent"	9.099537	1.386294	14	34.23614	"male"	FALSE	FALSE
3	0	FALSE	6.163736	0	FALSE	0	"excellent"	9.099537	1.386294	14	35.23614	"male"	FALSE	FALSE
8	0	FALSE	6.163736	0	TRUE	10.3	"excellent"	9.099537	1.386294	12	30.43121	"female"	FALSE	FALSE
5	0	FALSE	6.163736	0	TRUE	10.3	"excellent"	9.099537	1.386294	12	31.43121	"female"	FALSE	FALSE
4	0	FALSE	6.163736	0	TRUE	10.3	"excellent"	9.099537	1.386294	12	32.43121	"female"	FALSE	FALSE
2	0	FALSE	6.163736	0	TRUE	10.3	"excellent"	9.099537	1.386294	12	33.43121	"female"	FALSE	FALSE
2	0	FALSE	6.163736	0	TRUE	10.3	"excellent"	9.099537	1.386294	12	34.43121	"female"	FALSE	FALSE
2	0	FALSE	6.690892	0	FALSE	6.9	"fair"	7.956314	1.609438	10	17.67556	"female"	TRUE	TRUE
0	0	FALSE	6.690892	0	FALSE	6.9	"fair"	7.956314	1.609438	10	18.67556	"female"	FALSE	TRUE
0	0	FALSE	6.690892	0	FALSE	6.9	"fair"	7.956314	1.609438	10	19.67556	"female"	FALSE	TRUE
2	0	FALSE	6.690892	0	FALSE	3.4	"fair"	7.956314	1.609438	12	23.07187	"female"	FALSE	TRUE
0	0	FALSE	6.690892	0	FALSE	3.4	"fair"	7.956314	1.609438	12	24.07187	"female"	FALSE	TRUE
1	0	FALSE	6.690892	0	FALSE	3.4	"fair"	7.956314	1.609438	12	25.07187	"female"	FALSE	TRUE
1	0	FALSE	6.690892	0	FALSE	3.4	"fair"	7.956314	1.609438	10	50.92676	"female"	FALSE	TRUE
2	0	FALSE	6.690892	0	FALSE	3.4	"fair"	7.956314	1.609438	10	51.92676	"female"	FALSE	TRUE
2	0	FALSE	6.690892	0	FALSE	3.4	"fair"	7.956314	1.609438	10	52.92676	"female"	FALSE	TRUE
3	0	FALSE	6.690892	0	FALSE	10.57626	"fair"	7.956314	1.609438	10	10.34086	"male"	TRUE	TRUE
1	0	FALSE	6.690892	0	FALSE	10.57626	"fair"	7.956314	1.609438	10	11.34086	"male"	TRUE	TRUE
1	0	FALSE	6.690892	0	FALSE	10.57626	"fair"	7.956314	1.609438	10	12.34086	"male"	TRUE	TRUE
0	0	FALSE	6.690892	0	FALSE	10.57626	"fair"	7.956314	1.609438	10	13.31964	"male"	TRUE	TRUE
0	0	FALSE	6.690892	0	FALSE	10.57626	"fair"	7.956314	1.609438	10	14.31964	"male"	TRUE	TRUE
0	0	FALSE	6.690892	0	FALSE	10.57626	"fair"	7.956314	1.609438	10	15.31964	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.160726	1.386294	10	13.46201	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.160726	1.386294	10	14.46201	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.160726	1.386294	10	15.46201	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.160726	1.386294	10	16.46201	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.160726	1.386294	10	17.46201	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	10	14.49144	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	10	15.49144	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	10	16.49144	"female"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	10	17.49144	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	10	18.49144	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	12	34.78439	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	12	35.78439	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	12	36.78439	"male"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	12	37.78439	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"excellent"	9.160726	1.386294	12	38.78439	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.160726	1.386294	10	34.77892	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.160726	1.386294	10	35.77892	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.160726	1.386294	10	36.77892	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.160726	1.386294	10	37.77892	"female"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	9.160726	1.386294	10	38.77892	"female"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"good"	9.43608	1.609438	9	14.0397	"male"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"good"	9.43608	1.609438	9	15.0397	"male"	TRUE	FALSE
3	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"good"	9.43608	1.609438	9	16.0397	"male"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.43608	1.609438	9	38.01232	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.43608	1.609438	9	39.01232	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.43608	1.609438	9	40.01232	"female"	FALSE	FALSE
8	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	9.43608	1.609438	9	18.60643	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	9.43608	1.609438	9	19.60643	"female"	FALSE	FALSE
1	3.931826	FALSE	6.907755	7.600903	FALSE	13.8	"fair"	9.43608	1.609438	9	20.60643	"female"	FALSE	FALSE
4	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.43608	1.609438	9	15.98905	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.43608	1.609438	9	16.98905	"female"	TRUE	FALSE
1	3.931826	FALSE	6.907755	7.600903	TRUE	10.57626	"excellent"	9.43608	1.609438	9	17.98905	"female"	TRUE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.43608	1.609438	6	42.63381	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.43608	1.609438	6	43.63381	"male"	FALSE	FALSE
0	3.931826	FALSE	6.907755	7.600903	FALSE	0	"good"	9.43608	1.609438	6	44.63381	"male"	FALSE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.383367	1.098612	13	20.8679	"male"	FALSE	FALSE
8	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.383367	1.098612	13	21.8679	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.383367	1.098612	13	22.8679	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.383367	1.098612	13	23.8679	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	6.9	"good"	9.383367	1.098612	13	24.8679	"male"	FALSE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.383367	1.098612	12	45.31691	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.383367	1.098612	12	46.31691	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.383367	1.098612	12	47.31691	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.383367	1.098612	12	48.31691	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	24.1	"good"	9.383367	1.098612	12	49.31691	"female"	FALSE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.383367	1.098612	12	50.18754	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.383367	1.098612	12	51.18754	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.383367	1.098612	12	52.18754	"male"	FALSE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.383367	1.098612	12	53.18754	"male"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	24.1	"good"	9.383367	1.098612	12	54.18754	"male"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	7.74689	0	14	43.92608	"male"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	7.74689	0	14	44.92608	"male"	FALSE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	7.74689	0	14	45.92608	"male"	FALSE	FALSE
4	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.815269	0.6931472	12	54.75975	"male"	FALSE	FALSE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.815269	0.6931472	12	55.75975	"male"	FALSE	FALSE
3	4.564348	TRUE	5.703783	5.755076	FALSE	10.3	"good"	8.815269	0.6931472	12	56.75975	"male"	FALSE	FALSE
17	4.564348	TRUE	5.703783	5.755076	TRUE	31	"good"	8.815269	0.6931472	15	52.78302	"female"	FALSE	FALSE
17	4.564348	TRUE	5.703783	5.755076	TRUE	31	"good"	8.815269	0.6931472	15	53.78302	"female"	FALSE	FALSE
21	4.564348	TRUE	5.703783	5.755076	TRUE	31	"good"	8.815269	0.6931472	15	54.78302	"female"	FALSE	FALSE
15	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.418439	1.386294	9	36.61876	"male"	FALSE	FALSE
2	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.418439	1.386294	9	37.61876	"male"	FALSE	FALSE
1	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.418439	1.386294	9	38.61876	"male"	FALSE	FALSE
3	0	FALSE	4.094345	0	TRUE	13.8	"good"	9.418439	1.386294	10	33.7358	"female"	FALSE	FALSE
3	0	FALSE	4.094345	0	TRUE	13.8	"good"	9.418439	1.386294	10	34.7358	"female"	FALSE	FALSE
6	0	FALSE	4.094345	0	TRUE	13.8	"good"	9.418439	1.386294	10	35.7358	"female"	FALSE	FALSE
6	0	FALSE	4.094345	0	TRUE	10.57626	"good"	9.418439	1.386294	10	13.92471	"male"	TRUE	FALSE
3	0	FALSE	4.094345	0	TRUE	10.57626	"good"	9.418439	1.386294	10	14.92471	"male"	TRUE	FALSE
8	0	FALSE	4.094345	0	TRUE	10.57626	"good"	9.418439	1.386294	10	15.92471	"male"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.418439	1.386294	10	16.97467	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.418439	1.386294	10	17.97467	"female"	TRUE	FALSE
4	0	FALSE	4.094345	0	FALSE	3.4	"excellent"	9.418439	1.386294	10	18.97467	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"fair"	8.213713	1.791759	10	60.14511	"male"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	3.4	"fair"	8.213713	1.791759	10	61.14511	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"fair"	8.213713	1.791759	10	62.14511	"male"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	0	10.62774	20.21903	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	0	10.62774	21.21903	"male"	FALSE	TRUE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	0	10.62774	22.21903	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.213713	1.791759	9	15.34292	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	6.9	"excellent"	8.213713	1.791759	9	16.34292	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	6.9	"excellent"	8.213713	1.791759	9	17.34292	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	0	"excellent"	8.213713	1.791759	10	22.14647	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.213713	1.791759	10	23.14647	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.213713	1.791759	10	24.14647	"male"	FALSE	TRUE
16	0	FALSE	0	0	TRUE	10.3	"fair"	8.213713	1.791759	9	52.58043	"female"	FALSE	TRUE
9	0	FALSE	0	0	TRUE	10.3	"fair"	8.213713	1.791759	9	53.58043	"female"	FALSE	TRUE
10	0	FALSE	0	0	TRUE	10.3	"fair"	8.213713	1.791759	9	54.58043	"female"	FALSE	TRUE
0	0	FALSE	5.796544	0	FALSE	3.4	"good"	7.082948	1.098612	12	24.04654	"female"	FALSE	TRUE
1	0	FALSE	5.796544	0	FALSE	3.4	"good"	7.082948	1.098612	12	25.04654	"female"	FALSE	TRUE
4	0	FALSE	5.796544	0	FALSE	3.4	"good"	7.082948	1.098612	12	26.04654	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	17.2	"excellent"	9.20541	1.386294	12	27.20055	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"excellent"	9.20541	1.609438	12	28.20055	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	17.2	"excellent"	9.20541	1.609438	12	29.20055	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.20541	1.386294	11	5.779603	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.20541	1.609438	11	6.779603	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.20541	1.609438	11	7.779603	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	3.4	"excellent"	9.20541	1.386294	11	26.33813	"female"	FALSE	FALSE
0	0	FALSE	0	0	TRUE	3.4	"excellent"	9.20541	1.609438	11	27.33813	"female"	FALSE	FALSE
1	0	FALSE	0	0	TRUE	3.4	"excellent"	9.20541	1.609438	11	28.33813	"female"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.20541	1.386294	11	3.405886	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.20541	1.609438	11	4.405886	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.20541	1.609438	11	5.405886	"female"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	13.8	"good"	8.744971	2.079442	11	15.37303	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	13.8	"good"	8.744971	2.079442	11	16.37303	"female"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	13.8	"good"	8.744971	2.079442	11	17.37303	"female"	TRUE	TRUE
4	0	FALSE	0	0	TRUE	10.3	"good"	8.744971	2.079442	7	38.21766	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.3	"good"	8.744971	2.079442	7	39.21766	"male"	FALSE	TRUE
2	0	FALSE	0	0	TRUE	10.3	"good"	8.744971	2.079442	7	40.21766	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	8.744971	2.079442	11	10.83915	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"fair"	8.744971	2.079442	11	11.83915	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"fair"	8.744971	2.079442	11	12.83915	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.744971	2.079442	11	6.707735	"female"	TRUE	TRUE
4	0	FALSE	0	0	TRUE	10.57626	"good"	8.744971	2.079442	11	7.707735	"female"	TRUE	TRUE
3	0	FALSE	0	0	TRUE	10.57626	"good"	8.744971	2.079442	11	8.707734	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	6.9	"good"	8.744971	2.079442	11	14.44216	"female"	TRUE	TRUE
9	0	FALSE	0	0	TRUE	6.9	"good"	8.744971	2.079442	11	15.44216	"female"	TRUE	TRUE
8	0	FALSE	0	0	TRUE	6.9	"good"	8.744971	2.079442	11	16.44216	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.744971	2.079442	11	34.15469	"female"	FALSE	TRUE
6	0	FALSE	0	0	FALSE	10.3	"good"	8.744971	2.079442	11	35.15469	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	10.3	"good"	8.744971	2.079442	11	36.15469	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.744971	2.079442	11	12.5859	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.744971	2.079442	11	13.5859	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"good"	8.744971	2.079442	11	14.5859	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"excellent"	7.596014	1.098612	12	3.173169	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"excellent"	7.596014	1.098612	12	4.173169	"female"	TRUE	TRUE
4	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"good"	7.596014	1.098612	12	24.57221	"female"	FALSE	TRUE
5	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"good"	7.596014	1.098612	12	25.57221	"female"	FALSE	TRUE
3	4.564348	TRUE	5.703783	5.755076	TRUE	6.9	"good"	7.596014	0	12	26.57221	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	9	20.47091	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	9	21.47091	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	9	22.47091	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	8	18.51335	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	0	17.59617	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	0	18.59617	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	0	19.59617	"male"	FALSE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.815269	2.197225	0	12.02464	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.815269	2.197225	0	13.02464	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.815269	2.197225	0	14.02464	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.815269	2.197225	0	15.03901	"male"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.815269	2.197225	0	16.03901	"male"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"good"	8.815269	2.197225	0	17.03901	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.197225	0	16.55852	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.197225	0	17.55852	"female"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	3.4	"good"	8.815269	2.197225	0	18.55852	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	10.3	"good"	8.815269	1.386294	7	29.59617	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.815269	1.386294	7	30.59617	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	10.3	"good"	8.815269	1.386294	7	31.59617	"female"	FALSE	TRUE
5	0	FALSE	0	0	FALSE	10.3	"good"	8.815269	2.197225	0	50.05065	"female"	FALSE	TRUE
4	0	FALSE	0	0	FALSE	10.3	"good"	8.815269	2.197225	0	51.05065	"female"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	10.3	"good"	8.815269	2.197225	0	52.05065	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	9	19.5729	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	9	20.5729	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"good"	8.815269	2.197225	9	21.5729	"male"	FALSE	TRUE
1	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	8.815269	0	12	49.62628	"female"	FALSE	FALSE
16	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	8.815269	0	12	50.62628	"female"	FALSE	FALSE
16	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	8.815269	0	12	51.62628	"female"	FALSE	FALSE
17	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	8.815269	0	12	52.62628	"female"	FALSE	FALSE
11	4.564348	TRUE	5.010635	5.061929	FALSE	31	"good"	8.815269	0	12	53.62628	"female"	FALSE	FALSE
3	0	FALSE	5.33001	0	FALSE	20.7	"good"	8.57935	1.94591	12	29.19644	"female"	FALSE	TRUE
2	0	FALSE	5.33001	0	FALSE	20.7	"good"	8.57935	1.94591	12	30.19644	"female"	FALSE	TRUE
4	0	FALSE	5.33001	0	FALSE	20.7	"good"	8.57935	1.94591	12	31.19644	"female"	FALSE	TRUE
2	0	FALSE	5.33001	0	FALSE	20.7	"good"	8.57935	2.079442	12	32.19644	"female"	FALSE	TRUE
3	0	FALSE	5.33001	0	FALSE	20.7	"good"	8.57935	2.079442	12	33.19644	"female"	FALSE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	6.743327	"female"	TRUE	TRUE
1	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	7.743327	"female"	TRUE	TRUE
8	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	8.743326	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	9.743326	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	10.74333	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	11.41136	"female"	TRUE	TRUE
3	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	12.41136	"female"	TRUE	TRUE
7	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	13.41136	"female"	TRUE	TRUE
5	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	14.41136	"female"	TRUE	TRUE
4	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	15.41136	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	9.382615	"male"	TRUE	TRUE
5	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	10.38262	"male"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	11.38262	"male"	TRUE	TRUE
2	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	12.38262	"male"	TRUE	TRUE
1	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	13.38262	"male"	TRUE	TRUE
1	0	FALSE	5.33001	0	FALSE	3.4	"good"	8.57935	1.94591	9	32.31211	"male"	FALSE	TRUE
1	0	FALSE	5.33001	0	FALSE	3.4	"good"	8.57935	1.94591	9	33.31211	"male"	FALSE	TRUE
0	0	FALSE	5.33001	0	FALSE	3.4	"good"	8.57935	1.94591	9	34.31211	"male"	FALSE	TRUE
2	0	FALSE	5.33001	0	FALSE	3.4	"good"	8.57935	2.079442	9	35.31211	"male"	FALSE	TRUE
2	0	FALSE	5.33001	0	FALSE	3.4	"good"	8.57935	2.079442	9	36.31211	"male"	FALSE	TRUE
1	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	8.221766	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	9.221766	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	10.22177	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	11.22177	"female"	TRUE	TRUE
1	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	12.22177	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	5.497604	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	6.497604	"female"	TRUE	TRUE
0	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	1.94591	12	7.497604	"female"	TRUE	TRUE
3	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	8.497604	"female"	TRUE	TRUE
1	0	FALSE	5.33001	0	FALSE	10.57626	"good"	8.57935	2.079442	12	9.497604	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.204484	1.386294	10	5.629021	"female"	TRUE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.204484	1.386294	10	6.629021	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"good"	9.204484	1.386294	10	7.629021	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.204484	1.386294	9	27.73717	"male"	FALSE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.204484	1.386294	9	28.73717	"male"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.204484	1.386294	9	29.73717	"male"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.204484	1.386294	10	28.77481	"female"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.204484	1.386294	10	29.77481	"female"	FALSE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	3.4	"good"	9.204484	1.386294	10	30.77481	"female"	FALSE	TRUE
0	0	FALSE	4.97231	0	FALSE	6.9	"excellent"	9.271944	1.098612	11	41.39631	"male"	FALSE	FALSE
3	0	FALSE	4.97231	0	FALSE	6.9	"excellent"	9.271944	1.098612	11	42.39631	"male"	FALSE	FALSE
5	0	FALSE	4.97231	0	FALSE	6.9	"excellent"	9.271944	1.098612	11	43.39631	"male"	FALSE	FALSE
0	0	FALSE	4.97231	0	FALSE	24.1	"excellent"	9.271944	1.098612	12	39.15127	"female"	FALSE	FALSE
0	0	FALSE	4.97231	0	FALSE	24.1	"excellent"	9.271944	1.098612	12	40.15127	"female"	FALSE	FALSE
4	0	FALSE	4.97231	0	FALSE	24.1	"excellent"	9.271944	1.098612	12	41.15127	"female"	FALSE	FALSE
2	0	FALSE	4.97231	0	FALSE	10.57626	"excellent"	9.271944	1.098612	12	12.71732	"male"	TRUE	FALSE
4	0	FALSE	4.97231	0	FALSE	10.57626	"excellent"	9.271944	1.098612	12	13.71732	"male"	TRUE	FALSE
3	0	FALSE	4.97231	0	FALSE	10.57626	"excellent"	9.271944	1.098612	12	14.71732	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	14.16016	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	15.16016	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	16.16016	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	17.16016	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	18.16016	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	16.70363	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	17.70363	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	18.70363	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	19.70363	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	0	"excellent"	8.840314	1.791759	12	20.70363	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.840314	1.791759	4	50.141	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.840314	1.791759	4	51.141	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.840314	1.791759	4	52.141	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.840314	1.791759	4	53.141	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.840314	1.791759	4	54.141	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	12.14784	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	13.14784	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	14.14784	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	15.14784	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	16.14784	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.840314	1.791759	12	43.71252	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.840314	1.791759	12	44.71252	"female"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.840314	1.791759	12	45.71252	"female"	FALSE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.840314	1.791759	12	46.71252	"female"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"good"	8.840314	1.791759	12	47.71252	"female"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	7.000684	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	8.000685	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.791759	10	9.000685	"female"	TRUE	TRUE
2	0	FALSE	5.796544	0	TRUE	10.57626	"good"	7.082948	1.098612	12	6.154688	"female"	TRUE	TRUE
2	0	FALSE	5.796544	0	TRUE	10.57626	"good"	7.082948	1.098612	12	7.154688	"female"	TRUE	TRUE
0	0	FALSE	5.796544	0	TRUE	10.57626	"good"	7.082948	1.098612	12	8.154689	"female"	TRUE	TRUE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.213713	1.791759	9	7.520876	"male"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.213713	1.791759	9	8.520876	"male"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.213713	1.791759	9	9.520876	"male"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	2.197225	0	10.94045	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	2.197225	0	11.94045	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	2.197225	0	12.94045	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	8.906229	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	9.906229	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	10.90623	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.302585	12	8.479124	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	9.479124	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	10.47912	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	11.47912	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	12.47912	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.302585	12	5.812457	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	6.812457	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	7.812457	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	8.812457	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"good"	8.815269	2.197225	12	9.812457	"male"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"excellent"	9.45934	1.386294	18	36.22177	"male"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"excellent"	9.45934	1.386294	18	37.22177	"male"	FALSE	FALSE
1	4.564348	FALSE	6.907755	6.959049	TRUE	17.2	"excellent"	9.45934	1.386294	18	38.22177	"male"	FALSE	FALSE
4	0	FALSE	3.178054	0	FALSE	10.57626	"excellent"	9.290877	1.098612	12	2.2423	"female"	TRUE	FALSE
3	0	FALSE	3.178054	0	FALSE	10.57626	"excellent"	9.290877	1.098612	12	3.2423	"female"	TRUE	FALSE
8	0	FALSE	3.178054	0	FALSE	10.57626	"excellent"	9.290877	1.098612	12	4.2423	"female"	TRUE	FALSE
11	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	0.2956879	"female"	TRUE	FALSE
7	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	1.295688	"female"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	2.295688	"female"	TRUE	FALSE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	3.295688	"female"	TRUE	FALSE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.735677	1.386294	12	4.295688	"female"	TRUE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	8.441269	0	10.62774	20.39425	"male"	FALSE	FALSE
5	0	FALSE	0	0	FALSE	3.4	"excellent"	8.441269	0	10.62774	21.39425	"male"	FALSE	FALSE
4	0	FALSE	0	0	FALSE	3.4	"excellent"	8.441269	0	10.62774	22.39425	"male"	FALSE	FALSE
6	0	FALSE	0	0	FALSE	3.4	"excellent"	8.441269	0.6931472	10.62774	23.39425	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	3.4	"excellent"	8.441269	0	10.62774	24.39425	"male"	FALSE	FALSE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.473371	1.098612	12	25.3525	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.473371	1.098612	12	26.3525	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.473371	1.386294	12	27.3525	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.473371	1.609438	12	28.3525	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.473371	1.609438	12	29.3525	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.473371	1.098612	12	25.10335	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.473371	1.098612	12	26.10335	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.473371	1.386294	12	27.10335	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.473371	1.609438	12	28.10335	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	7.473371	1.609438	12	29.10335	"male"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"excellent"	7.473371	1.098612	12	0.7665982	"male"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"excellent"	7.473371	1.098612	12	1.766598	"male"	TRUE	TRUE
2	3.258096	FALSE	0	8.006368	FALSE	10.57626	"excellent"	7.473371	1.386294	12	2.766598	"male"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"excellent"	7.473371	1.609438	12	3.766598	"male"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	10.57626	"excellent"	7.473371	1.609438	12	4.766598	"male"	TRUE	TRUE
0	0	FALSE	5.029653	0	FALSE	3.4	"excellent"	8.815269	1.386294	7	17.59891	"female"	TRUE	TRUE
0	0	FALSE	5.029653	0	FALSE	3.4	"excellent"	8.815269	1.386294	7	18.59891	"female"	FALSE	TRUE
0	0	FALSE	5.029653	0	FALSE	3.4	"excellent"	8.815269	1.386294	7	19.59891	"female"	FALSE	TRUE
2	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"excellent"	9.020982	1.386294	8	0.5393566	"female"	TRUE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"excellent"	9.020982	1.386294	8	1.539357	"female"	TRUE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"excellent"	9.020982	1.386294	8	2.539357	"female"	TRUE	FALSE
0	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"excellent"	9.020982	1.386294	8	3.539357	"female"	TRUE	FALSE
1	3.258096	FALSE	6.476973	7.863267	FALSE	10.57626	"excellent"	9.020982	1.609438	8	4.539357	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	0.2354552	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	1.235455	"male"	TRUE	FALSE
13	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	2.235455	"male"	TRUE	FALSE
7	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	3.235455	"male"	TRUE	FALSE
9	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.815269	1.098612	12	4.235455	"male"	TRUE	FALSE
1	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	0.6105407	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	1.610541	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	2.610541	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	3.610541	"male"	TRUE	TRUE
0	3.258096	FALSE	6.055495	7.44179	TRUE	10.57626	"excellent"	8.442407	1.94591	11	4.610541	"male"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.57626	"excellent"	8.216621	1.791759	12	2.726899	"female"	TRUE	TRUE
3	0	FALSE	5.126342	0	FALSE	10.57626	"excellent"	8.216621	1.791759	12	3.726899	"female"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.57626	"excellent"	8.216621	1.94591	12	4.726899	"female"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	10.3	"excellent"	9.356867	0.6931472	9	42.68036	"female"	FALSE	FALSE
8	0	FALSE	0	0	FALSE	10.3	"excellent"	9.356867	0.6931472	9	43.68036	"female"	FALSE	FALSE
12	0	FALSE	0	0	FALSE	10.3	"excellent"	9.356867	0.6931472	9	44.68036	"female"	FALSE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	2.652977	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	3.652977	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.914532	1.791759	9	4.652977	"female"	TRUE	FALSE
0	0	FALSE	4.668708	0	FALSE	10.57626	"excellent"	8.880224	2.564949	5	2.316222	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"excellent"	8.880224	2.564949	5	3.316222	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"excellent"	8.880224	2.639057	5	4.316222	"male"	TRUE	TRUE
0	0	FALSE	5.145166	0	FALSE	3.4	"excellent"	6.957181	0.6931472	7	16.27105	"male"	TRUE	TRUE
0	0	FALSE	5.145166	0	FALSE	3.4	"excellent"	6.957181	0.6931472	7	17.27105	"male"	TRUE	TRUE
1	0	FALSE	5.145166	0	FALSE	3.4	"excellent"	6.957181	0.6931472	7	18.27105	"male"	FALSE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.232317	1.098612	16	2.034223	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.232317	1.098612	16	3.034223	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	9.232317	1.098612	16	4.034223	"female"	TRUE	TRUE
5	0	FALSE	4.094345	0	TRUE	27.6	"excellent"	9.584002	1.386294	12	33.68925	"female"	FALSE	FALSE
4	0	FALSE	4.094345	0	TRUE	27.6	"excellent"	9.584002	1.386294	12	34.68925	"female"	FALSE	FALSE
0	0	FALSE	4.094345	0	TRUE	27.6	"excellent"	9.584002	1.386294	12	35.68925	"female"	FALSE	FALSE
0	0	FALSE	4.094345	0	FALSE	10.57626	"excellent"	9.584002	1.386294	12	12.13689	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	10.57626	"excellent"	9.584002	1.386294	12	13.13689	"female"	TRUE	FALSE
1	0	FALSE	4.094345	0	FALSE	10.57626	"excellent"	9.584002	1.386294	12	14.13689	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	FALSE	10.57626	"excellent"	9.584002	1.386294	12	10.39562	"male"	TRUE	FALSE
2	0	FALSE	4.094345	0	FALSE	10.57626	"excellent"	9.584002	1.386294	12	11.39562	"male"	TRUE	FALSE
4	0	FALSE	4.094345	0	FALSE	10.57626	"excellent"	9.584002	1.386294	12	12.39562	"male"	TRUE	FALSE
3	0	FALSE	4.458988	0	FALSE	20.7	"excellent"	8.740149	0.6931472	12	60.87885	"female"	FALSE	TRUE
3	0	FALSE	4.458988	0	FALSE	20.7	"excellent"	8.740149	0.6931472	12	61.87885	"female"	FALSE	TRUE
5	0	FALSE	4.458988	0	FALSE	20.7	"excellent"	8.740149	0.6931472	12	62.87885	"female"	FALSE	TRUE
4	0	FALSE	4.458988	0	FALSE	10.3	"excellent"	8.740149	0.6931472	12	17.21561	"male"	TRUE	TRUE
4	0	FALSE	4.458988	0	FALSE	10.3	"excellent"	8.740149	0.6931472	12	18.21561	"male"	FALSE	TRUE
2	0	FALSE	4.458988	0	FALSE	10.3	"excellent"	8.740149	0.6931472	12	19.21561	"male"	FALSE	TRUE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	2.340863	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	3.340863	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	4.340862	"female"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.908179	1.609438	16	17.88912	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.908179	1.609438	16	18.88912	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	13.8	"excellent"	8.908179	1.609438	16	19.88912	"female"	FALSE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.908179	1.609438	16	12.28747	"male"	TRUE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.908179	1.609438	16	13.28747	"male"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.908179	1.609438	16	14.28747	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.908179	1.609438	15	41.41547	"male"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.908179	1.609438	15	42.41547	"male"	FALSE	FALSE
6	3.258096	FALSE	6.620073	8.006368	FALSE	0	"excellent"	8.908179	1.609438	15	43.41547	"male"	FALSE	FALSE
5	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	8.908179	1.609438	16	38.58727	"female"	FALSE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	8.908179	1.609438	16	39.58727	"female"	FALSE	FALSE
2	3.258096	FALSE	6.620073	8.006368	FALSE	24.1	"excellent"	8.908179	1.609438	16	40.58727	"female"	FALSE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.908179	1.609438	16	16.39973	"female"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.908179	1.609438	16	17.39973	"female"	TRUE	FALSE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.3	"excellent"	8.908179	1.609438	16	18.39973	"female"	FALSE	FALSE
0	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	1.791759	12	11.27173	"male"	TRUE	FALSE
0	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	1.791759	12	12.27173	"male"	TRUE	FALSE
1	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	2.079442	12	13.27173	"male"	TRUE	FALSE
3	3.258096	FALSE	6.784457	7.932075	TRUE	10.3	"excellent"	8.608909	1.791759	12	16.39425	"female"	TRUE	FALSE
1	3.258096	FALSE	6.784457	7.932075	TRUE	10.3	"excellent"	8.608909	1.791759	12	17.39425	"female"	TRUE	FALSE
2	3.258096	FALSE	6.784457	7.932075	TRUE	10.3	"excellent"	8.608909	2.079442	12	18.39425	"female"	FALSE	FALSE
0	3.258096	FALSE	6.784457	7.932075	FALSE	3.4	"good"	8.608909	1.791759	12	17.92471	"male"	TRUE	FALSE
1	3.258096	FALSE	6.784457	7.932075	FALSE	3.4	"good"	8.608909	1.791759	12	18.92471	"male"	FALSE	FALSE
0	3.258096	FALSE	6.784457	7.932075	FALSE	3.4	"good"	8.608909	2.079442	12	19.92471	"male"	FALSE	FALSE
0	3.258096	FALSE	6.784457	7.932075	FALSE	10.3	"good"	8.608909	1.791759	12	39.42231	"female"	FALSE	FALSE
0	3.258096	FALSE	6.784457	7.932075	FALSE	10.3	"good"	8.608909	1.791759	12	40.42231	"female"	FALSE	FALSE
1	3.258096	FALSE	6.784457	7.932075	FALSE	10.3	"good"	8.608909	2.079442	12	41.42231	"female"	FALSE	FALSE
1	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	1.791759	12	8.109514	"female"	TRUE	FALSE
2	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	1.791759	12	9.109514	"female"	TRUE	FALSE
2	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	2.079442	12	10.10951	"female"	TRUE	FALSE
0	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	1.791759	12	13.40726	"female"	TRUE	FALSE
1	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	1.791759	12	14.40726	"female"	TRUE	FALSE
6	3.258096	FALSE	6.784457	7.932075	FALSE	10.57626	"excellent"	8.608909	2.079442	12	15.40726	"female"	TRUE	FALSE
0	4.564348	TRUE	5.010635	6.160541	FALSE	0	"excellent"	8.815269	1.098612	12	25.53046	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	0	"excellent"	8.815269	1.098612	12	26.53046	"male"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	0	"excellent"	8.815269	1.098612	12	27.53046	"male"	FALSE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	0.4791239	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	1.479124	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	2.479124	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	3.479124	"female"	TRUE	TRUE
0	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	8.451592	1.386294	11	4.479124	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.354323	1.94591	3	0.4599589	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.354323	1.94591	3	1.459959	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.354323	1.94591	3	2.459959	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.354323	1.94591	3	3.459959	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.354323	1.94591	3	4.459959	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.354323	1.94591	5	56.78302	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.354323	1.94591	5	57.78302	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.354323	1.94591	5	58.78302	"male"	FALSE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.354323	1.94591	5	59.78302	"male"	FALSE	TRUE
4	4.564348	TRUE	6.109248	6.160541	TRUE	10.3	"excellent"	8.354323	1.94591	5	60.78302	"male"	FALSE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	0	1.609438	9	2.121834	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	0	1.609438	9	3.121834	"male"	TRUE	TRUE
1	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	0	1.609438	9	4.121834	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	0	1.609438	9	2.121834	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	0	1.609438	9	3.121834	"male"	TRUE	TRUE
0	4.564348	TRUE	0	6.160541	FALSE	10.57626	"excellent"	0	1.609438	9	4.121834	"male"	TRUE	TRUE
3	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.596942	1.609438	11	0.1916496	"male"	TRUE	TRUE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.596942	1.609438	11	1.19165	"male"	TRUE	TRUE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.596942	1.609438	11	2.191649	"male"	TRUE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.596942	1.609438	11	3.191649	"male"	TRUE	TRUE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.596942	1.609438	11	4.191649	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	0.7282683	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	1.728268	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	2.728268	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	3.728268	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840314	1.791759	12	4.728268	"female"	TRUE	TRUE
4	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	7.986116	0	12	19.41684	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	7.986116	0	12	20.41684	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	7.986116	0	12	21.41684	"male"	FALSE	FALSE
0	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	7.986116	0	12	22.41684	"male"	FALSE	FALSE
1	4.564348	TRUE	0	5.061929	FALSE	6.9	"excellent"	7.986116	0	12	23.41684	"male"	FALSE	FALSE
0	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.386294	7	5.645448	"male"	TRUE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.791759	7	6.645448	"male"	TRUE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.94591	7	7.645448	"male"	TRUE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	8.645449	"male"	TRUE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	9.645449	"male"	TRUE	TRUE
0	0	FALSE	6.050488	0	TRUE	20.7	"excellent"	9.299645	1.386294	11	24.20534	"female"	FALSE	TRUE
0	0	FALSE	6.050488	0	TRUE	20.7	"excellent"	9.299645	1.791759	11	25.20534	"female"	FALSE	TRUE
0	0	FALSE	6.050488	0	TRUE	20.7	"excellent"	9.299645	1.94591	11	26.20534	"female"	FALSE	TRUE
4	0	FALSE	6.050488	0	TRUE	20.7	"excellent"	9.299645	2.079442	11	27.20534	"female"	FALSE	TRUE
9	0	FALSE	6.050488	0	TRUE	20.7	"excellent"	9.299645	2.079442	11	28.20534	"female"	FALSE	TRUE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.815269	1.098612	12	2.132786	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.815269	1.098612	12	3.132786	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.815269	1.098612	12	4.132786	"female"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.815269	1.098612	12	24.83504	"female"	FALSE	TRUE
1	0	FALSE	0	0	FALSE	13.8	"excellent"	8.815269	1.098612	12	25.83504	"female"	FALSE	TRUE
13	0	FALSE	0	0	FALSE	13.8	"excellent"	8.815269	1.386294	12	26.83504	"female"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.815269	1.098612	8	23.16222	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.815269	1.098612	8	24.16222	"male"	FALSE	TRUE
2	0	FALSE	0	0	FALSE	0	"excellent"	8.815269	1.386294	8	25.16222	"male"	FALSE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.815269	1.098612	12	4.692676	"female"	TRUE	TRUE
9	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.815269	1.098612	12	5.692676	"female"	TRUE	TRUE
6	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.815269	1.386294	12	6.692676	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	0.6931472	11	0.2710472	"male"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	0.6931472	11	1.271047	"male"	TRUE	TRUE
4	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	0.6931472	11	2.271047	"male"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	0.6931472	11	3.271047	"male"	TRUE	TRUE
5	0	FALSE	0	0	FALSE	10.57626	"excellent"	0	0.6931472	11	4.271047	"male"	TRUE	TRUE
0	3.258096	FALSE	6.579251	7.965546	FALSE	10.57626	"excellent"	8.113716	1.609438	8	2.590007	"female"	TRUE	TRUE
1	3.258096	FALSE	6.579251	7.965546	FALSE	10.57626	"excellent"	8.113716	1.609438	8	3.590007	"female"	TRUE	TRUE
0	3.258096	FALSE	6.579251	7.965546	FALSE	10.57626	"excellent"	8.113716	1.609438	8	4.590007	"female"	TRUE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	6.9	"excellent"	0	1.386294	12	24.67077	"male"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	6.9	"excellent"	0	1.386294	12	25.67077	"male"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	6.9	"excellent"	0	0.6931472	12	26.67077	"male"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	6.9	"excellent"	0	0.6931472	12	27.67077	"male"	FALSE	TRUE
0	4.564348	FALSE	5.160491	5.467394	FALSE	6.9	"excellent"	0	0.6931472	12	28.67077	"male"	FALSE	TRUE
8	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.337023	1.098612	15	0.6988364	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.337023	1.098612	15	1.698836	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.337023	1.098612	15	2.698836	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.337023	1.098612	15	3.698836	"female"	TRUE	FALSE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"excellent"	8.815269	1.609438	11	2.075291	"female"	TRUE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"excellent"	8.815269	1.609438	11	3.075291	"female"	TRUE	TRUE
0	4.564348	FALSE	5.572838	6.959049	FALSE	10.57626	"excellent"	8.815269	1.609438	11	4.075291	"female"	TRUE	TRUE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.9006	0.6931472	10.62774	7.759069	"female"	TRUE	TRUE
4	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.9006	0.6931472	10.62774	8.759069	"female"	TRUE	TRUE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.9006	0.6931472	10.62774	9.759069	"female"	TRUE	TRUE
6	0	FALSE	0	0	TRUE	13.8	"excellent"	7.9006	0.6931472	10.62774	26.96235	"female"	FALSE	TRUE
4	0	FALSE	0	0	TRUE	13.8	"excellent"	7.9006	0.6931472	10.62774	27.96235	"female"	FALSE	TRUE
5	0	FALSE	0	0	TRUE	13.8	"excellent"	7.9006	0.6931472	10.62774	28.96235	"female"	FALSE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"excellent"	8.290334	1.609438	11	0.9698836	"female"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"excellent"	8.290334	1.791759	11	1.969884	"female"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"excellent"	8.290334	1.791759	11	2.969884	"female"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"excellent"	8.290334	1.791759	11	3.969884	"female"	TRUE	TRUE
2	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.815269	2.302585	12	2.042437	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.815269	2.197225	12	3.042437	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	FALSE	10.57626	"excellent"	8.815269	1.94591	12	4.042437	"female"	TRUE	TRUE
3	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	1.763176	"male"	TRUE	FALSE
1	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	2.763176	"male"	TRUE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.143099	1.609438	12	3.763176	"male"	TRUE	FALSE
0	4.564348	FALSE	6.709304	6.760598	TRUE	10.57626	"excellent"	8.409249	1.94591	9	0.054757	"female"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	TRUE	10.57626	"excellent"	8.409249	1.94591	9	1.054757	"female"	TRUE	TRUE
0	4.564348	FALSE	6.709304	6.760598	TRUE	10.57626	"excellent"	8.409249	1.94591	9	2.054757	"female"	TRUE	TRUE
7	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.294374	1.386294	12	0.3675565	"male"	TRUE	TRUE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.294374	1.791759	12	1.367556	"male"	TRUE	TRUE
5	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.294374	1.609438	12	2.367557	"male"	TRUE	TRUE
4	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.294374	1.609438	12	3.367557	"male"	TRUE	TRUE
4	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.178553	0.6931472	10.62774	27.49623	"female"	FALSE	FALSE
7	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.178553	0.6931472	10.62774	28.49623	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	13.8	"excellent"	9.178553	0.6931472	10.62774	29.49623	"female"	FALSE	FALSE
12	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.193713	1.609438	13	1.237509	"male"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.193713	1.609438	13	2.237509	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.193713	1.609438	13	3.237509	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.981674	1.386294	13	1.429158	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.981674	1.386294	13	2.429158	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.981674	1.386294	13	3.429158	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.305043	1.386294	12	1.149897	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.305043	1.386294	12	2.149897	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.305043	1.386294	12	3.149897	"female"	TRUE	TRUE
6	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.346587	1.098612	16	0.1594798	"female"	TRUE	FALSE
3	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.346587	1.098612	16	1.15948	"female"	TRUE	FALSE
2	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.346587	1.386294	16	2.15948	"female"	TRUE	FALSE
6	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.346587	1.386294	16	3.15948	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.204484	1.386294	10	1.377139	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.204484	1.386294	10	2.377139	"female"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	9.204484	1.386294	10	3.377139	"female"	TRUE	TRUE
8	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.418461	1.386294	16	0.1430527	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.418461	1.386294	16	1.143053	"female"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.418461	1.386294	16	2.143053	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.418461	1.386294	16	3.143053	"female"	TRUE	FALSE
1	3.258096	FALSE	0	5.991465	FALSE	10.57626	"excellent"	8.815269	0.6931472	10.5	1.273101	"male"	TRUE	TRUE
5	3.258096	FALSE	0	5.991465	FALSE	10.57626	"excellent"	8.815269	0.6931472	10.5	2.273101	"male"	TRUE	TRUE
2	3.258096	FALSE	0	5.991465	FALSE	10.57626	"excellent"	8.815269	0.6931472	10.5	3.273101	"male"	TRUE	TRUE
2	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.791759	7	0.9890486	"female"	TRUE	TRUE
2	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.94591	7	1.989049	"female"	TRUE	TRUE
4	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	2.989048	"female"	TRUE	TRUE
2	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	3.989048	"female"	TRUE	TRUE
5	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.791759	7	0.9890486	"female"	TRUE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.94591	7	1.989049	"female"	TRUE	TRUE
3	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	2.989048	"female"	TRUE	TRUE
1	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	3.989048	"female"	TRUE	TRUE
14	4.564348	TRUE	5.857819	5.755076	TRUE	10.57626	"excellent"	9.213368	1.098612	16	0.9678302	"male"	TRUE	FALSE
4	4.564348	TRUE	5.857819	5.755076	TRUE	10.57626	"excellent"	9.213368	1.386294	16	1.96783	"male"	TRUE	FALSE
1	4.564348	TRUE	5.857819	5.755076	TRUE	10.57626	"excellent"	9.213368	1.386294	16	2.96783	"male"	TRUE	FALSE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	7.473371	1.386294	12	0.9842573	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	7.473371	1.609438	12	1.984257	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	7.473371	1.609438	12	2.984257	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.766681	1.609438	11	0.6913073	"female"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.766681	1.609438	11	1.691307	"female"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.766681	1.609438	11	2.691307	"female"	TRUE	FALSE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	7	3.030801	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	7	4.030801	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.302585	7	5.030801	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	7	1.42642	"female"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	7	2.42642	"female"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.302585	7	3.42642	"female"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	12	19.71253	"female"	FALSE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	12	20.71253	"female"	FALSE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.302585	12	21.71253	"female"	FALSE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	7	2.836413	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.197225	7	3.836413	"male"	TRUE	TRUE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.302585	7	4.836413	"male"	TRUE	TRUE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.454378	1.098612	12	2.288843	"male"	TRUE	FALSE
3	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.454378	1.098612	12	3.288843	"male"	TRUE	FALSE
1	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.454378	1.609438	12	4.288843	"male"	TRUE	FALSE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	2.748802	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	3.748802	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.098612	11	4.748802	"female"	TRUE	TRUE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840482	1.386294	10	1.869952	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840482	1.386294	10	2.869952	"female"	TRUE	FALSE
4	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.840482	1.386294	10	3.869952	"female"	TRUE	FALSE
20	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"excellent"	8.583071	1.609438	9	1.368925	"male"	TRUE	FALSE
21	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"excellent"	8.583071	1.609438	9	2.368925	"male"	TRUE	FALSE
28	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"excellent"	8.583071	1.609438	9	3.368925	"male"	TRUE	FALSE
1	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	1.713895	"male"	TRUE	FALSE
9	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	2.713895	"male"	TRUE	FALSE
9	0	FALSE	5.267652	0	TRUE	10.57626	"excellent"	9.448747	1.609438	10	3.713895	"male"	TRUE	FALSE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.424435	1.098612	12	2.696783	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.424435	1.386294	12	3.696783	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.424435	1.386294	12	4.696783	"female"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"excellent"	8.424435	1.098612	12	22.92676	"female"	FALSE	TRUE
6	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"excellent"	8.424435	1.386294	12	23.92676	"female"	FALSE	TRUE
5	4.564348	TRUE	6.109248	6.160541	TRUE	20.7	"excellent"	8.424435	1.386294	12	24.92676	"female"	FALSE	TRUE
0	3.258096	FALSE	5.269815	6.656109	FALSE	0	"excellent"	9.407862	0.6931472	12	26.43121	"male"	FALSE	FALSE
0	3.258096	FALSE	5.269815	6.656109	FALSE	0	"excellent"	9.407862	0.6931472	12	27.43121	"male"	FALSE	FALSE
0	3.258096	FALSE	5.269815	6.656109	FALSE	0	"excellent"	9.407862	1.098612	12	28.43121	"male"	FALSE	FALSE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.3856	1.386294	8	3.195072	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.3856	1.098612	8	4.195072	"female"	TRUE	TRUE
0	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.3856	1.098612	8	5.195072	"female"	TRUE	TRUE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.092784	0.6931472	10	1.998631	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.092784	0.6931472	10	2.998631	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	7.092784	0.6931472	10	3.998631	"female"	TRUE	TRUE
2	0	FALSE	4.668708	0	FALSE	10.57626	"excellent"	8.880224	2.564949	5	0.8405202	"male"	TRUE	TRUE
0	0	FALSE	4.668708	0	FALSE	10.57626	"excellent"	8.880224	2.564949	5	1.84052	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	FALSE	10.57626	"excellent"	8.880224	2.639057	5	2.84052	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	TRUE	10.57626	"excellent"	8.880224	2.564949	5	0.8405202	"male"	TRUE	TRUE
1	0	FALSE	4.668708	0	TRUE	10.57626	"excellent"	8.880224	2.564949	5	1.84052	"male"	TRUE	TRUE
3	0	FALSE	4.668708	0	TRUE	10.57626	"excellent"	8.880224	2.639057	5	2.84052	"male"	TRUE	TRUE
1	0	FALSE	0	0	FALSE	0	"excellent"	8.213713	1.791759	14	24.34223	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.213713	1.791759	14	25.34223	"male"	FALSE	TRUE
0	0	FALSE	0	0	FALSE	0	"excellent"	8.213713	1.791759	14	26.34223	"male"	FALSE	TRUE
2	0	FALSE	5.796544	0	FALSE	10.57626	"excellent"	7.082948	1.098612	12	1.483915	"female"	TRUE	TRUE
2	0	FALSE	5.796544	0	FALSE	10.57626	"excellent"	7.082948	1.098612	12	2.483915	"female"	TRUE	TRUE
3	0	FALSE	5.796544	0	FALSE	10.57626	"excellent"	7.082948	1.098612	12	3.483915	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	27.6	"excellent"	6.174333	0.6931472	8	20.91444	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	27.6	"excellent"	6.174333	0.6931472	8	21.91444	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	27.6	"excellent"	6.174333	0.6931472	8	22.91444	"female"	FALSE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.57626	"excellent"	7.873485	0.6931472	12	1.177276	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.57626	"excellent"	7.873485	0.6931472	12	2.177276	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	TRUE	10.57626	"excellent"	7.873485	0.6931472	12	3.177276	"female"	TRUE	TRUE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"excellent"	6.174333	0.6931472	8	0.862423	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"excellent"	6.174333	0.6931472	8	1.862423	"female"	TRUE	TRUE
1	4.564348	TRUE	5.703783	5.755076	FALSE	10.57626	"excellent"	6.174333	0.6931472	8	2.862423	"female"	TRUE	TRUE
1	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.414724	2.079442	12	0.769336	"female"	TRUE	TRUE
0	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.414724	2.079442	12	1.769336	"female"	TRUE	TRUE
2	3.931826	FALSE	6.907755	7.600903	FALSE	10.57626	"excellent"	8.414724	1.94591	12	2.769336	"female"	TRUE	TRUE
0	0	FALSE	5.126342	0	FALSE	10.57626	"excellent"	8.216621	1.791759	12	0.7282683	"male"	TRUE	TRUE
1	0	FALSE	5.126342	0	FALSE	10.57626	"excellent"	8.216621	1.791759	12	1.728268	"male"	TRUE	TRUE
2	0	FALSE	5.126342	0	FALSE	10.57626	"excellent"	8.216621	1.94591	12	2.728268	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.170483	1.386294	12	0.5338809	"male"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.170483	1.386294	12	1.533881	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	10.57626	"excellent"	8.170483	1.386294	12	2.533881	"male"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"excellent"	8.290334	1.791759	11	0.4941821	"male"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"excellent"	8.290334	1.791759	11	1.494182	"male"	TRUE	TRUE
0	4.564348	FALSE	6.015181	5.734873	TRUE	10.57626	"excellent"	8.290334	1.791759	11	2.494182	"male"	TRUE	TRUE
13	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.491432	1.386294	13	0.6652977	"female"	TRUE	TRUE
11	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.491432	1.386294	13	1.665298	"female"	TRUE	TRUE
12	0	FALSE	0	0	FALSE	10.57626	"excellent"	9.491432	1.386294	13	2.665298	"female"	TRUE	TRUE
10	4.564348	FALSE	6.50354	6.569703	TRUE	10.57626	"excellent"	9.061542	1.098612	16	0.3080082	"female"	TRUE	FALSE
10	4.564348	FALSE	6.50354	6.569703	TRUE	10.57626	"excellent"	9.061542	1.098612	16	1.308008	"female"	TRUE	FALSE
6	4.564348	FALSE	6.50354	6.569703	TRUE	10.57626	"excellent"	9.061542	1.098612	16	2.308008	"female"	TRUE	FALSE
1	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	1.94591	7	0.4722793	"female"	TRUE	TRUE
0	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	1.472279	"female"	TRUE	TRUE
2	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	2.472279	"female"	TRUE	TRUE
11	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.080209	1.098612	16	0.4654346	"male"	TRUE	FALSE
7	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.080209	1.098612	16	1.465435	"male"	TRUE	FALSE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.080209	1.098612	16	2.465435	"male"	TRUE	FALSE
5	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.744971	2.079442	11	0.3011636	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.744971	2.079442	11	1.301164	"male"	TRUE	TRUE
2	0	FALSE	0	0	FALSE	10.57626	"excellent"	8.744971	2.079442	11	2.301164	"male"	TRUE	TRUE
2	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	7.471518	1.386294	9	14.00137	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	7.471518	1.386294	9	15.00137	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	FALSE	17.2	"excellent"	7.471518	1.386294	9	16.00137	"male"	TRUE	TRUE
8	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.990197	1.609438	12	1.196441	"male"	TRUE	FALSE
5	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.990197	1.609438	12	2.196441	"male"	TRUE	FALSE
3	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.990197	1.609438	12	3.196441	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.243624	2.079442	10	20.23272	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.243624	2.079442	10	21.23272	"female"	FALSE	FALSE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.243624	2.079442	10	22.23272	"female"	FALSE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.243624	2.079442	11	1.245722	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.243624	2.079442	11	2.245722	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.243624	2.079442	11	3.245722	"male"	TRUE	FALSE
0	3.931826	FALSE	6.07507	6.560323	FALSE	10.57626	"excellent"	8.815269	1.098612	11	0.2710472	"male"	TRUE	TRUE
2	3.931826	FALSE	6.07507	6.560323	FALSE	10.57626	"excellent"	8.815269	1.098612	11	1.271047	"male"	TRUE	TRUE
0	3.931826	FALSE	6.07507	6.560323	FALSE	10.57626	"excellent"	8.815269	1.098612	11	2.271047	"male"	TRUE	TRUE
3	0	FALSE	6.148468	0	FALSE	10.57626	"excellent"	7.054175	0.6931472	12	0.2327173	"female"	TRUE	TRUE
6	0	FALSE	6.148468	0	FALSE	10.57626	"excellent"	7.054175	0.6931472	12	1.232717	"female"	TRUE	TRUE
5	0	FALSE	6.148468	0	FALSE	10.57626	"excellent"	7.054175	0.6931472	12	2.232717	"female"	TRUE	TRUE
8	3.258096	FALSE	6.579251	7.965546	FALSE	10.57626	"excellent"	8.113716	1.609438	8	0.2190281	"female"	TRUE	TRUE
7	3.258096	FALSE	6.579251	7.965546	FALSE	10.57626	"excellent"	8.113716	1.609438	8	1.219028	"female"	TRUE	TRUE
0	3.258096	FALSE	6.579251	7.965546	FALSE	10.57626	"excellent"	8.113716	1.609438	8	2.219028	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	8.438714	0.6931472	11	17.01574	"female"	TRUE	TRUE
3	3.258096	FALSE	0	8.006368	FALSE	0	"excellent"	8.438714	0.6931472	11	18.01574	"female"	FALSE	TRUE
2	0	FALSE	5.482637	0	FALSE	10.57626	"excellent"	8.89451	1.098612	12	0.1341547	"female"	TRUE	TRUE
1	0	FALSE	5.482637	0	FALSE	10.57626	"excellent"	8.89451	1.098612	12	1.134155	"female"	TRUE	TRUE
0	0	FALSE	5.482637	0	FALSE	10.57626	"excellent"	8.89451	1.098612	12	2.134155	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.037738	1.386294	12	25.26215	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.037738	1.386294	12	26.26215	"female"	FALSE	TRUE
2	4.564348	FALSE	6.907755	6.959049	FALSE	3.4	"excellent"	9.037738	1.386294	12	27.26215	"female"	FALSE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.037738	1.386294	12	0.4134155	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.037738	1.386294	12	1.413415	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.037738	1.386294	12	2.413415	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.037738	1.386294	12	3.5154	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.037738	1.386294	12	4.5154	"male"	TRUE	TRUE
1	4.564348	FALSE	6.907755	6.959049	FALSE	10.57626	"excellent"	9.037738	1.386294	12	5.5154	"male"	TRUE	TRUE
4	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.81219	0.6931472	12	19.58932	"female"	FALSE	TRUE
1	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.81219	0.6931472	12	20.58932	"female"	FALSE	TRUE
0	3.258096	FALSE	0	8.006368	FALSE	6.9	"excellent"	7.81219	0.6931472	12	21.58932	"female"	FALSE	TRUE
0	4.564348	TRUE	6.313548	6.160541	FALSE	10.57626	"excellent"	8.182147	1.098612	10	1.160849	"female"	TRUE	TRUE
0	4.564348	TRUE	6.313548	6.160541	FALSE	10.57626	"excellent"	8.182147	1.098612	10	2.160849	"female"	TRUE	TRUE
1	4.564348	TRUE	6.313548	6.160541	FALSE	10.57626	"excellent"	8.182147	1.098612	10	3.160849	"female"	TRUE	TRUE
5	4.564348	TRUE	6.313548	6.160541	FALSE	24.1	"excellent"	8.182147	1.098612	10	16.78303	"female"	TRUE	TRUE
0	4.564348	TRUE	6.313548	6.160541	FALSE	24.1	"excellent"	8.182147	1.098612	10	17.78303	"female"	TRUE	TRUE
6	4.564348	TRUE	6.313548	6.160541	FALSE	24.1	"excellent"	8.182147	1.098612	10	18.78303	"female"	FALSE	TRUE
8	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	0.29295	"female"	TRUE	TRUE
4	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	1.29295	"female"	TRUE	TRUE
2	3.258096	FALSE	6.620073	8.006368	FALSE	10.57626	"excellent"	9.37044	1.609438	17	2.29295	"female"	TRUE	TRUE
2	4.564348	TRUE	5.703783	6.160541	FALSE	10.57626	"excellent"	9.395557	1.098612	15	0.6817248	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.57626	"excellent"	9.395557	1.098612	15	1.681725	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	6.160541	FALSE	10.57626	"excellent"	9.395557	1.098612	15	2.681725	"female"	TRUE	TRUE
12	0	FALSE	0	0	FALSE	17.2	"excellent"	6.740347	1.098612	7	17.16906	"female"	TRUE	FALSE
9	0	FALSE	0	0	FALSE	17.2	"excellent"	6.740347	1.098612	7	18.16906	"female"	FALSE	FALSE
1	0	FALSE	0	0	FALSE	17.2	"excellent"	6.740347	0	7	19.16906	"female"	FALSE	FALSE
20	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"excellent"	8.583071	1.609438	9	0.2655715	"male"	TRUE	FALSE
15	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"excellent"	8.583071	1.609438	9	1.265571	"male"	TRUE	FALSE
12	4.564348	FALSE	6.49224	5.781393	FALSE	10.57626	"excellent"	8.583071	1.609438	9	2.265572	"male"	TRUE	FALSE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.803488	1.609438	12	0.1615332	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.803488	1.609438	12	1.161533	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	8.803488	1.609438	12	2.161533	"female"	TRUE	TRUE
1	4.564348	FALSE	6.232605	6.2643	TRUE	10.57626	"excellent"	8.16956	0.6931472	9	0.1026694	"female"	TRUE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	10.57626	"excellent"	8.16956	0.6931472	9	1.102669	"female"	TRUE	TRUE
0	4.564348	FALSE	6.232605	6.2643	TRUE	10.57626	"excellent"	8.16956	0.6931472	9	2.102669	"female"	TRUE	TRUE
25	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.0812	1.386294	13	0.70705	"male"	TRUE	FALSE
16	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	9.0812	1.386294	13	1.70705	"male"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.20541	1.609438	11	0.8959616	"male"	TRUE	FALSE
8	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.20541	1.609438	11	1.895962	"male"	TRUE	FALSE
0	4.564348	FALSE	4.393214	4.444507	TRUE	10.57626	"excellent"	7.495415	1.386294	12	0.9397673	"female"	TRUE	TRUE
0	4.564348	FALSE	4.393214	4.444507	TRUE	10.57626	"excellent"	7.495415	1.386294	12	1.939767	"female"	TRUE	TRUE
0	4.564348	FALSE	0	6.679335	TRUE	10.57626	"excellent"	7.453881	1.386294	12	0.742642	"male"	TRUE	TRUE
0	4.564348	FALSE	0	6.679335	TRUE	10.57626	"excellent"	7.453881	1.386294	12	1.742642	"male"	TRUE	TRUE
6	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.441269	0.6931472	10.62774	0.7686516	"male"	TRUE	FALSE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	5.368392	2.079442	10	0.742642	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	5.368392	2.079442	10	1.742642	"male"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	6.870698	1.94591	7	5.180014	"female"	TRUE	TRUE
2	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	6.870698	1.94591	7	6.180014	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	6.870698	1.94591	7	7.180014	"female"	TRUE	TRUE
9	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.977547	1.098612	15	0.0793977	"female"	TRUE	FALSE
3	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.977547	1.098612	15	1.079398	"female"	TRUE	FALSE
2	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.977547	1.386294	15	2.079398	"female"	TRUE	FALSE
1	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	0.3531828	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	1.353183	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	2.353183	"female"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	2.197225	0	0.6358659	"male"	TRUE	TRUE
0	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	2.197225	0	1.635866	"male"	TRUE	TRUE
2	4.564348	TRUE	5.703783	5.755076	TRUE	10.57626	"excellent"	7.596014	1.098612	12	0.1149897	"female"	TRUE	TRUE
1	4.564348	TRUE	5.703783	5.755076	TRUE	10.57626	"excellent"	7.596014	1.098612	12	1.11499	"female"	TRUE	TRUE
14	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.140632	1.098612	13	0.0273785	"female"	TRUE	FALSE
14	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.140632	1.098612	13	1.027379	"female"	TRUE	FALSE
14	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.140632	1.098612	13	2.027379	"female"	TRUE	FALSE
1	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.815269	2.302585	12	0.0328542	"male"	TRUE	TRUE
1	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.815269	2.197225	12	1.032854	"male"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	8.815269	1.94591	12	2.032854	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.424435	1.386294	12	0.6194388	"female"	TRUE	TRUE
1	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.424435	1.386294	12	1.619439	"female"	TRUE	TRUE
5	4.564348	TRUE	5.703783	6.160541	TRUE	10.57626	"excellent"	7.816326	1.386294	6	0.6468173	"female"	TRUE	TRUE
0	4.564348	TRUE	5.703783	6.160541	TRUE	10.57626	"excellent"	7.816326	1.386294	6	1.646817	"female"	TRUE	TRUE
9	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.346587	1.386294	16	0.4784394	"female"	TRUE	FALSE
5	0	FALSE	4.094345	0	TRUE	10.57626	"excellent"	9.346587	1.386294	16	1.478439	"female"	TRUE	FALSE
15	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.000103	1.386294	12	0.4168378	"male"	TRUE	TRUE
6	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.000103	1.386294	12	1.416838	"male"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	7.473371	1.609438	12	0.5468857	"female"	TRUE	TRUE
0	3.258096	FALSE	0	8.006368	TRUE	10.57626	"excellent"	7.473371	1.609438	12	1.546886	"female"	TRUE	TRUE
16	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.22159	1.098612	12	0.2772074	"female"	TRUE	TRUE
0	4.564348	FALSE	6.907755	6.959049	TRUE	10.57626	"excellent"	9.22159	1.098612	12	1.277207	"female"	TRUE	TRUE
3	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.815269	1.386294	10	1.713895	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.815269	1.609438	10	2.713895	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.815269	1.609438	10	3.713895	"male"	TRUE	TRUE
9	4.564348	TRUE	5.857819	5.755076	TRUE	10.57626	"excellent"	9.213368	1.386294	16	0.3990417	"female"	TRUE	FALSE
0	4.564348	TRUE	5.857819	5.755076	TRUE	10.57626	"excellent"	9.213368	1.386294	16	1.399042	"female"	TRUE	FALSE
2	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.815269	1.609438	10	0.2224504	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.815269	1.609438	10	1.22245	"male"	TRUE	TRUE
12	0	FALSE	5.33001	0	TRUE	10.57626	"excellent"	8.57935	2.079442	12	0.284052	"female"	TRUE	TRUE
2	0	FALSE	5.33001	0	TRUE	10.57626	"excellent"	8.57935	2.079442	12	1.284052	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	7.447335	1.791759	10	0.0362765	"female"	TRUE	TRUE
0	4.564348	TRUE	5.010635	6.160541	TRUE	10.57626	"excellent"	7.447335	1.791759	10	1.036277	"female"	TRUE	TRUE
8	0	FALSE	6.264845	0	TRUE	10.57626	"excellent"	8.970243	1.609438	12	0.155373	"female"	TRUE	FALSE
10	0	FALSE	6.264845	0	TRUE	10.57626	"excellent"	8.970243	1.609438	12	1.155373	"female"	TRUE	FALSE
7	0	FALSE	5.259992	0	TRUE	10.57626	"excellent"	8.541868	1.098612	12	0.9459274	"male"	TRUE	TRUE
7	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	0.1252567	"female"	TRUE	TRUE
1	0	FALSE	6.050488	0	TRUE	10.57626	"excellent"	9.299645	2.079442	7	1.125257	"female"	TRUE	TRUE
1	0	FALSE	5.029653	0	TRUE	10.57626	"excellent"	8.815269	1.386294	7	0.8651608	"female"	TRUE	TRUE
21	3.258096	FALSE	5.269815	6.656109	TRUE	10.57626	"excellent"	9.407862	1.098612	16	0.9240246	"female"	TRUE	FALSE
0	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.302585	7	0.7761807	"female"	TRUE	TRUE
3	0	FALSE	4.668708	0	TRUE	10.57626	"excellent"	8.880224	2.639057	5	0.7734429	"male"	TRUE	TRUE
5	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	9.454378	1.609438	12	0.7679672	"male"	TRUE	FALSE
8	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	9.454378	1.609438	12	0.7679672	"female"	TRUE	FALSE
8	4.564348	TRUE	5.703783	5.755076	TRUE	10.57626	"excellent"	9.130122	1.098612	12	0.7857632	"female"	TRUE	FALSE
11	0	FALSE	0	0	TRUE	10.57626	"excellent"	9.530105	1.386294	10	0.7542779	"male"	TRUE	FALSE
0	0	FALSE	5.126342	0	TRUE	10.57626	"excellent"	8.216621	1.94591	12	0.7405887	"female"	TRUE	TRUE
6	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.977547	1.386294	15	0.5982204	"female"	TRUE	FALSE
20	0	FALSE	0	0	TRUE	10.57626	"excellent"	8.815269	1.386294	12	0.4284737	"male"	TRUE	TRUE
2	3.258096	FALSE	6.784457	7.932075	TRUE	10.57626	"excellent"	8.608909	2.079442	12	0.7734429	"female"	TRUE	FALSE
1	3.258096	FALSE	6.784457	7.932075	TRUE	10.57626	"excellent"	8.608909	2.079442	12	0.6830938	"male"	TRUE	FALSE
3	3.931826	FALSE	0	7.37149	TRUE	10.57626	"excellent"	7.143397	1.94591	10	0.6119096	"male"	TRUE	TRUE
0	4.564348	TRUE	6.109248	6.160541	TRUE	10.57626	"excellent"	8.815269	1.94591	11	0.3066393	"male"	TRUE	TRUE
5	3.258096	FALSE	6.476973	7.863267	TRUE	10.57626	"excellent"	9.020982	1.609438	8	0.4544832	"female"	TRUE	FALSE
0	3.258096	FALSE	6.507277	7.893572	TRUE	10.57626	"excellent"	9.074712	1.609438	8	0.275154	"male"	TRUE	FALSE
1	4.564348	FALSE	3.883624	3.934917	TRUE	10.57626	"excellent"	8.132095	2.302585	7	0.3737166	"male"	TRUE	TRUE
0	3.258096	FALSE	6.262826	7.649121	TRUE	10.57626	"excellent"	8.815269	1.386294	8	0.5845311	"female"	TRUE	TRUE
2	0	FALSE	5.377498	0	TRUE	10.57626	"excellent"	8.815269	1.94591	6	0.4031485	"female"	TRUE	FALSE
0	0	FALSE	5.377498	0	TRUE	10.57626	"excellent"	8.815269	2.079442	6	1.403149	"female"	TRUE	FALSE
8	3.258096	FALSE	6.874819	8.006368	TRUE	10.57626	"excellent"	8.921869	1.609438	12	0.3052704	"male"	TRUE	FALSE
8	3.258096	FALSE	5.156178	6.542472	TRUE	10.57626	"excellent"	7.548329	1.791759	12	0.0561259	"male"	TRUE	FALSE
6	3.258096	FALSE	6.620073	8.006368	TRUE	10.57626	"excellent"	8.815269	1.386294	12	0.1054073	"female"	TRUE	TRUE