"ofp"	"ofnp"	"opp"	"opnp"	"emr"	"hosp"	"numchron"	"adldiff"	"age"	"black"	"sex"	"maried"	"school"	"faminc"	"employed"	"privins"	"medicaid"	"region"	"hlth"
5	0	0	0	0	1	2	0	6.9	"yes"	"male"	"yes"	6	2.881	"yes"	"yes"	"no"	"other"	"other"
1	0	2	0	2	0	2	0	7.4	"no"	"female"	"yes"	10	2.7478	"no"	"yes"	"no"	"other"	"other"
13	0	0	0	3	3	4	1	6.6	"yes"	"female"	"no"	10	0.6532	"no"	"no"	"yes"	"other"	"poor"
16	0	5	0	1	1	2	1	7.6	"no"	"male"	"yes"	3	0.6588	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	2	1	7.9	"no"	"female"	"yes"	6	0.6588	"no"	"yes"	"no"	"other"	"other"
17	0	0	0	0	0	5	1	6.6	"no"	"female"	"no"	7	0.3301	"no"	"no"	"yes"	"other"	"poor"
9	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	8	0.828	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	8.7	"no"	"female"	"no"	8	3.0456	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.3	"no"	"female"	"no"	8	3.0456	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.8	"no"	"female"	"no"	8	3.0456	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	8	2.9498	"yes"	"yes"	"no"	"midwest"	"other"
44	5	2	0	0	1	5	1	6.9	"no"	"female"	"yes"	15	2.9498	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	1	8.4	"no"	"female"	"no"	8	0.8988	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	1	8.1	"no"	"female"	"no"	8	0.8988	"no"	"no"	"yes"	"midwest"	"poor"
19	0	1	2	0	1	1	0	7.8	"no"	"female"	"no"	12	6.0654	"no"	"yes"	"no"	"midwest"	"other"
19	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	8	0.6004	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	1	8.3	"no"	"male"	"yes"	8	0.5988	"no"	"no"	"yes"	"midwest"	"other"
3	9	1	0	0	0	2	1	8	"no"	"female"	"yes"	8	0.5988	"no"	"no"	"yes"	"midwest"	"other"
2	0	0	0	0	0	3	0	7.3	"yes"	"male"	"yes"	10	1.266	"no"	"no"	"no"	"midwest"	"other"
12	0	2	0	0	0	4	0	7.4	"no"	"male"	"no"	12	1.906011	"no"	"yes"	"no"	"midwest"	"other"
2	0	1	0	1	2	1	0	6.7	"no"	"male"	"yes"	12	0.582	"no"	"yes"	"no"	"midwest"	"other"
3	0	1	0	0	0	2	0	7.3	"no"	"male"	"yes"	8	1.2504	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	9	1.2504	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	2	0	7.1	"no"	"female"	"no"	9	1.66	"no"	"yes"	"no"	"midwest"	"other"
5	7	0	0	0	0	3	0	8.9	"no"	"female"	"no"	8	1.9028	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	6.7	"no"	"male"	"no"	4	1.3328	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	1	0	5	0	7.2	"no"	"male"	"yes"	6	0.6132	"no"	"no"	"yes"	"midwest"	"poor"
6	0	0	0	0	1	2	0	8.7	"no"	"female"	"no"	8	0.5757	"no"	"yes"	"no"	"midwest"	"poor"
2	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	12	1.1016	"no"	"no"	"no"	"midwest"	"other"
4	0	0	0	0	0	3	1	9.6	"no"	"female"	"no"	8	0.535	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	16	2.3224	"yes"	"yes"	"no"	"midwest"	"excellent"
2	0	0	0	0	0	0	1	9.3	"no"	"female"	"no"	9	0.656	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	8.1	"no"	"male"	"no"	8	3.3372	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	9	1.657	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	12	1.657	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	1	3	0	7.9	"no"	"female"	"no"	8	1.0783	"no"	"yes"	"no"	"midwest"	"other"
26	0	0	0	0	0	2	1	7	"no"	"female"	"no"	12	0.6329	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	1	0	0	6.9	"no"	"female"	"no"	12	0.5564	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	8.3	"no"	"female"	"no"	8	2.1013	"no"	"yes"	"no"	"midwest"	"other"
1	2	0	0	1	0	0	0	7.2	"no"	"male"	"yes"	12	6.6048	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	6.6048	"no"	"yes"	"no"	"midwest"	"other"
3	4	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	12	2.6173	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	13	4.1457	"no"	"yes"	"no"	"midwest"	"other"
17	37	0	0	0	0	3	0	7.8	"no"	"male"	"yes"	12	1.6813	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	1	0	3	0	7.5	"no"	"male"	"yes"	10	1.508131	"no"	"yes"	"no"	"midwest"	"other"
5	1	0	0	2	1	2	0	7	"no"	"female"	"yes"	13	1.508131	"no"	"yes"	"no"	"midwest"	"other"
9	1	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	16	1.8879	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	11	1.5763	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	8	1.5763	"no"	"yes"	"no"	"midwest"	"other"
9	1	0	0	1	2	1	0	6.7	"no"	"male"	"yes"	12	1.9127	"yes"	"yes"	"no"	"midwest"	"other"
11	0	0	9	0	0	1	0	7.1	"no"	"male"	"yes"	13	5.8635	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	14	5.8635	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	3	0	6.8	"no"	"male"	"yes"	8	2.0405	"yes"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	1	8.4	"no"	"male"	"yes"	0	2.2004	"no"	"no"	"no"	"midwest"	"other"
0	0	1	0	1	0	0	1	8	"no"	"female"	"yes"	0	2.2004	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	6.9	"no"	"female"	"no"	12	1.0753	"yes"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	0	7.5	"no"	"female"	"no"	8	0.9535	"no"	"yes"	"no"	"midwest"	"other"
4	14	0	0	2	1	1	0	7.3	"no"	"male"	"yes"	8	1.8812	"yes"	"no"	"no"	"midwest"	"other"
3	9	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	1.8812	"no"	"no"	"no"	"midwest"	"other"
5	0	0	0	1	0	1	0	7.6	"no"	"female"	"no"	8	0.8306	"no"	"yes"	"no"	"midwest"	"other"
5	1	1	0	3	1	4	1	9	"no"	"female"	"no"	13	1.310593	"no"	"yes"	"no"	"midwest"	"poor"
1	1	0	0	0	0	2	0	6.7	"no"	"female"	"no"	11	0.6744	"yes"	"yes"	"no"	"midwest"	"other"
4	2	1	0	0	0	2	0	6.6	"no"	"male"	"yes"	8	1.9632	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	1	1	0	0	9.3	"no"	"male"	"no"	18	1.89	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	2	1	8.3	"no"	"female"	"no"	12	1.2792	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	2	1	0	7.9	"no"	"female"	"no"	8	2.5457	"no"	"yes"	"no"	"midwest"	"poor"
1	0	0	0	0	0	0	0	8.7	"no"	"male"	"no"	12	9.42	"yes"	"yes"	"no"	"midwest"	"other"
5	0	0	1	1	1	1	0	6.8	"no"	"male"	"yes"	10	1.1471	"no"	"yes"	"no"	"midwest"	"other"
0	1	0	0	0	0	0	0	7	"no"	"female"	"yes"	9	1.9408	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	7	1.6248	"yes"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	1	1	0	7.2	"no"	"female"	"yes"	9	1.6248	"no"	"yes"	"no"	"midwest"	"other"
11	16	0	9	0	0	1	0	6.9	"no"	"male"	"yes"	8	2.0584	"no"	"yes"	"no"	"midwest"	"other"
13	4	2	15	0	0	1	1	6.6	"no"	"female"	"yes"	10	2.0584	"no"	"yes"	"no"	"midwest"	"poor"
0	0	5	0	0	0	1	0	7.4	"no"	"male"	"yes"	8	1.2552	"no"	"yes"	"no"	"midwest"	"other"
7	1	0	0	0	0	2	0	6.9	"no"	"female"	"yes"	8	1.2552	"no"	"yes"	"no"	"midwest"	"other"
5	8	0	1	0	0	3	0	6.6	"no"	"female"	"yes"	10	2.1957	"yes"	"yes"	"no"	"other"	"other"
3	1	0	1	0	0	2	0	6.7	"no"	"male"	"yes"	13	1.6706	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	3	0	7.6	"no"	"female"	"no"	13	0.7484	"no"	"yes"	"no"	"other"	"other"
22	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	5	2.5466	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	12	2.5466	"no"	"yes"	"no"	"other"	"other"
1	3	0	0	0	0	1	0	7.9	"no"	"female"	"no"	9	0.6609	"no"	"yes"	"no"	"other"	"other"
8	0	1	1	0	0	2	0	7.8	"no"	"female"	"no"	12	1.2356	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	8.2	"no"	"female"	"no"	9	0.7975	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	8	1.2695	"no"	"yes"	"no"	"other"	"other"
5	0	0	1	1	0	2	0	7.6	"no"	"male"	"yes"	12	1.0117	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	10	1.0117	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	5	0	7.1	"no"	"male"	"yes"	12	1.5974	"no"	"yes"	"no"	"other"	"poor"
10	0	0	0	1	1	0	0	6.8	"no"	"female"	"yes"	10	1.5974	"no"	"yes"	"no"	"other"	"other"
1	0	1	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	4.6905	"no"	"yes"	"no"	"other"	"excellent"
3	0	1	0	0	0	1	0	7.2	"no"	"female"	"yes"	10	4.6905	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	12	4.2106	"no"	"yes"	"no"	"other"	"other"
10	2	1	1	0	0	2	0	7.4	"no"	"male"	"yes"	8	1.8322	"no"	"yes"	"no"	"other"	"other"
13	0	0	0	0	1	2	0	6.7	"no"	"female"	"yes"	12	1.8322	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	2.1894	"no"	"yes"	"no"	"other"	"other"
16	3	0	1	1	0	2	0	7.8	"no"	"male"	"yes"	10	1.513	"no"	"yes"	"no"	"other"	"other"
29	0	1	0	0	1	4	1	8.6	"no"	"female"	"no"	6	0.7179	"no"	"yes"	"no"	"other"	"poor"
8	0	0	0	0	1	2	0	8	"no"	"male"	"yes"	12	5.1904	"no"	"yes"	"no"	"other"	"other"
4	0	1	0	1	1	2	0	7.4	"no"	"female"	"yes"	12	5.1904	"no"	"yes"	"no"	"other"	"other"
1	3	0	0	0	0	3	0	7.4	"no"	"male"	"yes"	12	13.6982	"no"	"yes"	"no"	"other"	"excellent"
8	19	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	12	13.6982	"no"	"yes"	"no"	"other"	"excellent"
9	0	1	0	0	0	1	1	6.6	"no"	"male"	"no"	12	3.09	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	7.5	"no"	"male"	"no"	6	3.574	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	7	1.6313	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	5	0	7.8	"no"	"male"	"yes"	5	0.88	"yes"	"yes"	"no"	"other"	"other"
7	3	0	0	1	0	1	0	8.3	"no"	"female"	"no"	13	1.443	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	9	2.3848	"no"	"yes"	"no"	"other"	"other"
8	1	1	0	1	1	4	0	6.9	"no"	"female"	"yes"	8	2.3848	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	7.8	"no"	"female"	"yes"	12	4.5956	"no"	"yes"	"no"	"other"	"excellent"
22	0	1	4	2	1	3	0	8.3	"no"	"male"	"yes"	8	1.428	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	9	1.428	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	3	0	7.5	"no"	"male"	"yes"	8	1.2292	"no"	"yes"	"no"	"other"	"other"
1	7	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	12	1.2292	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	12	1.4693	"no"	"yes"	"no"	"other"	"other"
7	5	2	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	1.4693	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	1	0	7	"no"	"male"	"no"	9	1.3749	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	2	2	0	6.9	"no"	"female"	"no"	12	4.9046	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	1	2	1	0	7.2	"no"	"female"	"no"	12	5.005	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	8	"no"	"female"	"no"	6	2.6948	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	12	3.17	"no"	"yes"	"no"	"other"	"other"
0	0	1	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	1.9577	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	9	0.816	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	2	1	2	0	8.3	"yes"	"female"	"no"	6	0.432	"no"	"no"	"yes"	"other"	"other"
9	0	0	0	0	0	4	0	6.9	"yes"	"female"	"no"	12	1.5587	"no"	"yes"	"no"	"other"	"other"
15	1	0	1	0	0	3	1	6.7	"yes"	"male"	"no"	3	0.4728	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	0	0	3	0	6.9	"no"	"male"	"no"	10	0.744	"no"	"no"	"no"	"other"	"other"
5	0	0	0	1	1	0	0	7.9	"no"	"female"	"no"	11	0.5928	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"no"	9	1.1352	"no"	"no"	"no"	"other"	"other"
5	0	0	0	1	0	1	0	6.7	"yes"	"female"	"no"	16	1.8086	"yes"	"yes"	"no"	"other"	"other"
13	0	7	16	1	2	1	0	8.4	"no"	"male"	"yes"	16	1.3542	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	7.2	"no"	"female"	"no"	12	0.2663	"no"	"yes"	"no"	"other"	"other"
0	2	0	0	0	0	2	0	7.1	"no"	"male"	"yes"	10	1.2792	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	0	0	5	1	7.1	"no"	"female"	"no"	10	0.8778	"no"	"yes"	"no"	"other"	"poor"
10	0	0	0	0	0	1	0	7.9	"no"	"female"	"no"	9	0.7044	"no"	"yes"	"no"	"other"	"other"
9	2	2	0	0	0	1	0	7.4	"no"	"female"	"no"	14	0.84	"no"	"yes"	"no"	"other"	"other"
4	1	0	1	0	0	0	0	7.2	"no"	"female"	"no"	12	1.2976	"no"	"yes"	"no"	"other"	"other"
7	0	1	1	0	0	1	0	7.4	"no"	"female"	"no"	11	2.0113	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	8	"no"	"female"	"no"	12	0.84	"no"	"yes"	"no"	"other"	"other"
29	3	2	0	0	0	2	0	8.1	"no"	"male"	"yes"	16	5.2424	"yes"	"yes"	"no"	"other"	"other"
39	3	2	2	0	1	1	1	8.3	"no"	"female"	"yes"	16	5.2424	"yes"	"yes"	"no"	"other"	"other"
3	0	0	0	3	0	4	1	7.2	"no"	"female"	"no"	12	0.4788	"no"	"yes"	"no"	"other"	"other"
17	5	1	1	0	0	1	0	7.5	"no"	"female"	"no"	16	0.6946	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	0	2.9503	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	0	2.9503	"no"	"yes"	"no"	"other"	"other"
14	0	0	1	0	0	2	1	7.4	"no"	"female"	"no"	12	0.6209	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	2.3176	"no"	"yes"	"no"	"other"	"other"
1	2	0	0	0	0	0	0	6.8	"no"	"female"	"no"	15	5.5837	"yes"	"yes"	"no"	"other"	"excellent"
6	2	0	0	0	0	3	0	7.5	"no"	"female"	"no"	12	1.0511	"yes"	"yes"	"no"	"other"	"other"
4	8	0	0	0	0	2	0	8.1	"no"	"female"	"no"	8	1.0463	"no"	"yes"	"no"	"other"	"other"
7	10	0	0	0	1	2	0	6.9	"no"	"female"	"no"	12	0.645	"no"	"no"	"no"	"other"	"other"
3	4	0	0	0	0	0	0	8	"no"	"female"	"no"	8	0.432	"no"	"yes"	"no"	"other"	"excellent"
2	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	12	1.6256	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	1.6256	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	3	0	8.2	"no"	"male"	"yes"	14	3.8813	"no"	"yes"	"no"	"other"	"other"
7	2	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	12	3.8813	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	1	2	0	8.2	"no"	"male"	"no"	18	2.522	"no"	"yes"	"no"	"other"	"other"
12	0	0	1	1	0	1	0	7.1	"no"	"female"	"no"	8	2.1632	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	7	1.7714	"no"	"yes"	"no"	"other"	"excellent"
5	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	9	1.7714	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	1	1	3	1	8	"no"	"female"	"no"	9	1.791739	"yes"	"yes"	"no"	"other"	"other"
5	5	0	0	1	0	2	0	7	"no"	"female"	"no"	9	0.877	"no"	"yes"	"no"	"other"	"other"
12	0	0	1	3	2	2	1	8.6	"yes"	"female"	"no"	5	0.4032	"no"	"no"	"yes"	"other"	"other"
3	1	0	0	0	0	0	0	7.7	"no"	"male"	"yes"	7	1.2156	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	3	0	7.1	"no"	"female"	"yes"	10	1.2156	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	10	6.3652	"no"	"no"	"no"	"noreast"	"other"
2	1	0	0	1	0	1	0	7.8	"no"	"female"	"no"	3	0.5898	"no"	"no"	"yes"	"noreast"	"poor"
2	0	9	0	0	0	0	0	7	"yes"	"male"	"yes"	10	0.798	"no"	"yes"	"no"	"noreast"	"other"
17	3	0	0	0	3	5	1	7.3	"no"	"male"	"yes"	9	1.4172	"no"	"yes"	"no"	"noreast"	"poor"
11	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	4	1.4172	"no"	"yes"	"no"	"noreast"	"other"
3	0	10	1	0	1	4	1	7	"yes"	"female"	"no"	9	0.516	"no"	"no"	"yes"	"noreast"	"other"
4	1	0	0	0	0	1	0	8.1	"no"	"female"	"yes"	10	1.2735	"no"	"yes"	"no"	"noreast"	"other"
5	7	0	0	0	0	0	0	8.3	"no"	"male"	"yes"	8	1.2735	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	1	0	7.9	"no"	"male"	"yes"	6	1.1898	"no"	"yes"	"no"	"noreast"	"other"
18	0	0	0	1	0	2	1	8.3	"no"	"female"	"no"	8	0.4956	"no"	"yes"	"no"	"noreast"	"poor"
7	0	1	0	0	0	2	0	8.1	"no"	"male"	"yes"	14	1.6392	"no"	"yes"	"no"	"noreast"	"other"
31	0	2	0	0	0	3	0	7.5	"no"	"female"	"yes"	13	1.6392	"no"	"yes"	"no"	"noreast"	"poor"
23	0	0	0	0	0	1	1	8.5	"no"	"female"	"no"	12	1.2801	"no"	"no"	"yes"	"noreast"	"poor"
9	3	0	8	1	0	2	1	8.1	"no"	"female"	"no"	12	0.612	"no"	"yes"	"no"	"noreast"	"other"
8	4	0	0	0	0	3	0	8.4	"no"	"male"	"yes"	16	0	"no"	"no"	"no"	"noreast"	"poor"
10	1	2	0	0	0	2	0	7.4	"no"	"female"	"yes"	16	0	"no"	"no"	"no"	"noreast"	"other"
10	3	0	0	0	0	2	0	7.9	"no"	"male"	"yes"	16	4.9157	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	16	4.9157	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	1	1	3	0	7.6	"no"	"female"	"no"	12	2.4785	"no"	"no"	"no"	"noreast"	"other"
0	3	14	0	0	0	5	1	7.4	"no"	"female"	"no"	8	0.816	"no"	"no"	"yes"	"noreast"	"poor"
7	0	0	0	0	0	1	1	6.9	"no"	"male"	"yes"	14	1.2576	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	7.4	"no"	"female"	"no"	12	0.9804	"yes"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	1.8891	"no"	"yes"	"no"	"noreast"	"other"
4	7	0	0	0	0	3	0	7	"no"	"female"	"yes"	12	1.8891	"no"	"yes"	"no"	"noreast"	"other"
19	5	0	0	0	0	2	0	7	"no"	"male"	"yes"	14	3.7251	"no"	"yes"	"no"	"noreast"	"other"
10	11	0	0	0	0	1	1	6.8	"no"	"female"	"yes"	12	3.7251	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	16	4.01	"no"	"yes"	"no"	"noreast"	"other"
5	1	0	0	1	1	5	0	6.8	"no"	"female"	"no"	8	0.8916	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	0	0	0	2	1	7.8	"no"	"female"	"no"	7	0.5535	"no"	"no"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	10	3.9396	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	8	3.9396	"no"	"no"	"no"	"noreast"	"other"
5	0	1	0	0	1	0	0	7.2	"no"	"male"	"yes"	12	1.02	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	7.8	"no"	"male"	"yes"	11	1.3	"no"	"yes"	"no"	"noreast"	"excellent"
1	1	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	11	1.3	"yes"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	2	1	7.7	"no"	"female"	"no"	7	1.236	"no"	"no"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	5	0.9072	"no"	"no"	"no"	"noreast"	"poor"
0	0	1	7	0	0	1	0	6.6	"no"	"male"	"no"	12	1.182	"no"	"yes"	"no"	"noreast"	"other"
0	0	3	0	0	0	0	0	7.9	"no"	"male"	"no"	8	1.02	"no"	"yes"	"no"	"noreast"	"excellent"
0	0	0	0	0	0	0	0	8.1	"no"	"male"	"yes"	7	1.6698	"no"	"yes"	"no"	"noreast"	"other"
0	0	2	0	0	2	2	0	7.8	"no"	"female"	"yes"	8	1.6698	"no"	"yes"	"no"	"noreast"	"other"
3	1	5	0	0	0	0	0	8.2	"no"	"female"	"no"	12	2.0168	"no"	"yes"	"no"	"noreast"	"other"
8	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	12	3.2262	"yes"	"no"	"no"	"noreast"	"other"
0	0	2	1	1	0	1	0	7.9	"no"	"male"	"no"	9	0.994	"no"	"no"	"no"	"noreast"	"other"
3	5	0	0	0	0	1	0	7.7	"no"	"female"	"no"	12	1.5736	"no"	"no"	"no"	"noreast"	"other"
3	0	0	0	0	0	0	1	7.9	"no"	"female"	"no"	8	0.5316	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	7.9888	"no"	"yes"	"no"	"midwest"	"other"
5	0	39	11	0	0	3	0	6.6	"no"	"female"	"yes"	16	7.9888	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	2	0	0	3	0	8.5	"no"	"male"	"no"	14	2.5436	"no"	"no"	"no"	"midwest"	"other"
3	0	1	0	0	0	3	0	7.2	"no"	"female"	"yes"	14	5.884	"yes"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	12	1.9916	"no"	"no"	"no"	"midwest"	"excellent"
1	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	1.9916	"no"	"no"	"no"	"midwest"	"other"
3	0	0	2	0	0	1	0	7.4	"no"	"female"	"no"	10	0.589	"no"	"yes"	"no"	"midwest"	"other"
18	0	0	1	1	3	1	1	8.4	"no"	"female"	"no"	14	4.6367	"no"	"yes"	"no"	"midwest"	"other"
3	3	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	4.315865	"no"	"yes"	"no"	"midwest"	"excellent"
1	1	0	0	0	0	2	0	7.5	"no"	"female"	"no"	14	0.7757	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	2	2	3	0	6.6	"no"	"male"	"yes"	15	2.028	"yes"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.3	"no"	"male"	"no"	12	2.561556	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	0	0	9.7	"no"	"female"	"no"	12	2.561556	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	14	3.5004	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	15	3.5368	"yes"	"yes"	"no"	"midwest"	"excellent"
1	0	2	0	3	0	1	0	7.5	"yes"	"male"	"no"	10	0.3012	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	3	2	0	1	7.5	"yes"	"male"	"no"	8	3.5388	"no"	"no"	"no"	"midwest"	"other"
2	1	3	0	0	0	1	0	7.9	"yes"	"male"	"no"	7	3.32	"no"	"no"	"no"	"midwest"	"other"
1	0	2	0	3	3	2	0	7.1	"no"	"female"	"no"	12	1.1448	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	1	0	7.2	"yes"	"male"	"no"	12	3.2676	"no"	"no"	"yes"	"midwest"	"other"
17	17	2	0	1	0	2	0	7.6	"no"	"female"	"no"	4	0.4236	"no"	"no"	"no"	"midwest"	"poor"
0	0	0	0	0	0	0	0	8.4	"yes"	"female"	"no"	4	0.4968	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	8	0.5984	"no"	"yes"	"no"	"midwest"	"excellent"
1	1	4	0	0	0	2	1	7	"no"	"female"	"no"	8	1.2744	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	0	0	2	0	6.8	"no"	"female"	"no"	12	1.1749	"no"	"yes"	"yes"	"midwest"	"other"
0	0	0	1	1	0	1	0	9.4	"no"	"female"	"no"	3	1.1749	"no"	"yes"	"no"	"midwest"	"poor"
2	0	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	14	3.825	"no"	"yes"	"no"	"midwest"	"other"
8	1	0	0	1	2	1	0	6.9	"no"	"female"	"yes"	13	3.825	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	1	0	1	0	0	6.8	"no"	"male"	"yes"	14	0.515	"yes"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	6	0	6.7	"no"	"female"	"yes"	12	0.515	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	3	0	6.6	"no"	"female"	"yes"	12	1.4202	"no"	"yes"	"no"	"midwest"	"other"
7	1	0	0	1	0	2	0	7.7	"no"	"male"	"no"	14	1.9504	"yes"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	2	0	6.9	"no"	"female"	"no"	12	5.1814	"no"	"yes"	"no"	"midwest"	"other"
18	0	1	0	0	0	0	0	7.3	"no"	"male"	"yes"	15	1.2187	"no"	"no"	"no"	"west"	"other"
13	0	0	0	0	0	3	0	6.9	"no"	"female"	"yes"	12	1.2187	"no"	"yes"	"no"	"west"	"poor"
3	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	12	1.3823	"yes"	"yes"	"no"	"west"	"other"
2	1	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	7	0.8256	"no"	"yes"	"yes"	"west"	"poor"
9	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	12	1.995	"no"	"yes"	"no"	"west"	"other"
8	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	12	1.995	"no"	"no"	"no"	"west"	"other"
6	0	1	0	0	0	1	0	7.8	"no"	"female"	"no"	12	0.63	"no"	"yes"	"no"	"west"	"excellent"
2	0	0	0	0	0	0	0	7	"no"	"female"	"no"	8	3.0762	"no"	"no"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	6	1.2628	"no"	"no"	"no"	"west"	"excellent"
0	0	0	0	0	0	2	0	8.2	"no"	"male"	"no"	0	0.5432	"no"	"no"	"no"	"west"	"excellent"
11	0	0	0	0	0	0	0	7.1	"no"	"male"	"no"	14	1.212	"no"	"yes"	"no"	"west"	"other"
14	0	0	0	0	2	0	1	7.4	"no"	"male"	"no"	14	1.212	"no"	"yes"	"no"	"west"	"poor"
4	0	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	8	0.6202	"no"	"yes"	"no"	"west"	"other"
12	0	0	0	2	1	1	0	7.2	"no"	"male"	"yes"	6	0.6202	"no"	"yes"	"no"	"west"	"other"
2	1	0	1	1	0	2	1	6.7	"no"	"female"	"no"	12	0.4447	"no"	"yes"	"no"	"west"	"other"
2	1	0	0	2	0	0	0	6.6	"no"	"male"	"yes"	15	1.8132	"yes"	"no"	"no"	"west"	"other"
1	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	12	1.958	"no"	"yes"	"no"	"west"	"other"
40	1	1	1	1	0	2	1	6.6	"no"	"male"	"yes"	13	7.019	"no"	"yes"	"no"	"west"	"other"
15	11	1	2	0	1	2	0	7.3	"no"	"female"	"no"	8	0.4262	"no"	"yes"	"no"	"west"	"other"
2	0	1	0	0	0	2	0	7.3	"no"	"female"	"no"	0	3.3725	"no"	"yes"	"no"	"west"	"excellent"
6	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	12	3.3725	"yes"	"yes"	"no"	"west"	"other"
9	5	0	0	0	0	1	0	7.8	"no"	"female"	"no"	16	5.5165	"no"	"yes"	"no"	"west"	"other"
2	0	1	0	0	0	0	0	7	"no"	"male"	"yes"	12	6.1162	"no"	"yes"	"no"	"west"	"excellent"
2	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	12	6.1162	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	1	1	0	0	7.4	"yes"	"female"	"no"	7	1.3408	"no"	"no"	"yes"	"west"	"other"
8	0	0	0	1	0	1	0	7	"no"	"female"	"no"	11	1.2888	"no"	"yes"	"no"	"west"	"other"
5	0	3	1	1	0	0	1	7.4	"no"	"female"	"no"	12	1.2888	"no"	"no"	"yes"	"west"	"other"
0	0	0	0	0	0	1	0	7.7	"yes"	"male"	"no"	4	0.7548	"no"	"yes"	"no"	"west"	"other"
27	7	0	0	1	0	3	1	7.9	"yes"	"female"	"no"	11	0.714	"no"	"no"	"yes"	"west"	"other"
0	0	0	0	0	0	1	0	7.3	"yes"	"female"	"no"	12	1.2527	"no"	"no"	"no"	"west"	"other"
5	0	0	0	0	0	3	0	7.5	"yes"	"female"	"no"	8	6.36	"no"	"no"	"no"	"west"	"other"
4	0	0	0	0	1	3	0	8.1	"no"	"male"	"no"	0	0.8716	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	1	1	6.7	"yes"	"female"	"no"	6	1.9374	"no"	"no"	"yes"	"west"	"poor"
14	0	2	1	0	0	5	1	7.4	"no"	"male"	"yes"	10	1.21	"no"	"yes"	"no"	"west"	"other"
17	1	1	0	0	2	3	0	7.4	"no"	"female"	"yes"	5	1.21	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	1	0	7.1	"no"	"male"	"no"	14	2.0168	"no"	"yes"	"no"	"west"	"other"
3	34	1	0	0	0	2	1	6.8	"no"	"male"	"yes"	12	5.704	"no"	"yes"	"no"	"west"	"poor"
6	0	0	0	0	0	2	0	7	"no"	"male"	"no"	16	2.8337	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	1	0	2	0	6.6	"yes"	"female"	"no"	12	0.63	"no"	"no"	"yes"	"west"	"other"
5	1	0	0	0	0	2	0	7.1	"no"	"male"	"yes"	14	6.395	"no"	"yes"	"no"	"west"	"other"
4	7	0	0	0	1	2	0	7.7	"no"	"female"	"yes"	16	6.395	"no"	"yes"	"no"	"west"	"other"
4	0	1	0	1	0	1	0	6.8	"no"	"female"	"no"	10	0.696	"no"	"no"	"yes"	"west"	"other"
7	0	0	4	0	0	5	0	7.2	"no"	"female"	"no"	10	1.1165	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	10	2.1963	"yes"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	1	7.6	"no"	"male"	"yes"	12	1.3743	"no"	"yes"	"no"	"midwest"	"other"
15	2	1	0	0	0	2	0	6.9	"no"	"female"	"yes"	12	1.3743	"yes"	"yes"	"no"	"midwest"	"other"
6	1	0	0	0	0	2	1	8	"no"	"female"	"no"	6	0.468	"no"	"yes"	"no"	"midwest"	"other"
9	1	0	1	0	0	1	0	7	"no"	"male"	"yes"	18	2.8481	"no"	"yes"	"no"	"midwest"	"excellent"
9	3	1	1	0	0	1	0	6.8	"no"	"female"	"no"	12	1.091	"no"	"yes"	"no"	"midwest"	"excellent"
1	0	0	0	0	0	1	1	8.9	"no"	"female"	"no"	7	1.254	"no"	"yes"	"no"	"midwest"	"excellent"
4	0	0	0	0	0	2	0	7.5	"no"	"male"	"yes"	12	9.9361	"yes"	"yes"	"no"	"midwest"	"excellent"
3	0	0	1	0	0	0	0	6.8	"no"	"male"	"yes"	8	1.9841	"no"	"yes"	"no"	"noreast"	"other"
2	4	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	14	2.4375	"yes"	"no"	"no"	"noreast"	"other"
3	1	0	0	0	0	3	0	7.6	"no"	"male"	"yes"	8	1.6015	"no"	"yes"	"no"	"noreast"	"other"
6	14	0	8	1	0	3	0	7.5	"no"	"female"	"yes"	11	1.6015	"no"	"yes"	"no"	"noreast"	"other"
26	10	0	3	5	3	6	1	7.5	"no"	"male"	"yes"	8	2.4857	"no"	"yes"	"no"	"noreast"	"poor"
8	1	0	2	0	0	2	0	7.2	"no"	"female"	"yes"	12	2.4857	"no"	"yes"	"no"	"noreast"	"other"
12	1	0	2	0	1	1	0	6.9	"no"	"male"	"yes"	10	1.9206	"no"	"yes"	"no"	"noreast"	"other"
9	1	1	0	1	0	2	1	8.6	"no"	"female"	"no"	8	0.4709	"no"	"yes"	"yes"	"noreast"	"other"
4	0	0	1	0	0	1	0	7.1	"no"	"male"	"yes"	10	2.8455	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	2	1	6.8	"no"	"female"	"yes"	12	2.8455	"no"	"no"	"no"	"noreast"	"poor"
1	0	0	1	0	0	1	0	6.9	"no"	"male"	"yes"	12	1.356	"no"	"yes"	"no"	"noreast"	"other"
20	4	1	2	0	0	4	1	6.9	"no"	"female"	"no"	10	0.5489	"no"	"yes"	"no"	"noreast"	"poor"
1	0	0	0	0	0	0	0	8.2	"no"	"female"	"no"	8	1.057	"no"	"yes"	"no"	"noreast"	"other"
7	4	0	0	0	0	4	0	8.2	"no"	"male"	"yes"	6	2.6679	"no"	"yes"	"no"	"noreast"	"poor"
5	2	0	1	0	0	3	0	7.5	"no"	"female"	"yes"	12	2.6679	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	8	1.6517	"yes"	"no"	"yes"	"noreast"	"excellent"
5	1	0	1	0	0	0	0	6.8	"no"	"female"	"no"	11	1.0008	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	8	3.7517	"no"	"yes"	"no"	"noreast"	"other"
2	7	0	0	0	0	1	1	8.3	"no"	"female"	"yes"	10	3.7517	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	2	0	8.1	"no"	"male"	"yes"	10	1.3264	"no"	"yes"	"no"	"noreast"	"poor"
9	0	0	0	0	0	2	0	7.6	"no"	"female"	"yes"	8	1.3264	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	2.0136	"no"	"no"	"no"	"noreast"	"other"
17	0	0	0	1	2	1	0	7.2	"no"	"male"	"yes"	8	2.5816	"no"	"yes"	"no"	"noreast"	"other"
0	0	1	1	0	0	0	0	7.4	"no"	"male"	"no"	8	2.17	"no"	"yes"	"no"	"noreast"	"excellent"
2	0	0	0	1	0	0	0	6.6	"no"	"female"	"no"	11	0.7907	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	0	0	0	2	0	6.6	"no"	"female"	"no"	12	1.5747	"no"	"yes"	"no"	"noreast"	"excellent"
3	0	0	0	0	0	2	0	6.9	"no"	"female"	"no"	13	0.6933	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	8	3.5565	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	3	0	6.7	"no"	"female"	"yes"	11	2.3696	"yes"	"yes"	"no"	"noreast"	"other"
58	0	0	1	0	0	0	0	7.1	"no"	"female"	"no"	12	1.741	"yes"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	0	6.8884	"no"	"no"	"no"	"noreast"	"other"
5	1	0	1	0	0	3	0	7.4	"no"	"male"	"yes"	12	1.9699	"no"	"yes"	"no"	"noreast"	"other"
1	1	1	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	1.9699	"yes"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"no"	10	1.7756	"no"	"no"	"no"	"noreast"	"other"
8	0	0	0	0	0	0	0	7.7	"no"	"female"	"no"	7	0.878	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	0	1	0	2	1	7.5	"no"	"female"	"yes"	12	1.3928	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	0	3	1	3	1	7.5	"no"	"male"	"yes"	10	1.3928	"no"	"yes"	"no"	"noreast"	"poor"
1	0	0	0	0	0	0	0	7.4	"no"	"female"	"no"	9	0.7768	"no"	"yes"	"no"	"noreast"	"other"
7	2	0	0	0	0	1	1	8.8	"no"	"female"	"no"	16	1.2222	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	14	5.388	"no"	"yes"	"no"	"west"	"excellent"
11	0	0	0	0	0	5	0	8.5	"no"	"female"	"no"	6	3.3668	"no"	"yes"	"no"	"west"	"poor"
16	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	12	3.79	"no"	"yes"	"no"	"west"	"other"
2	2	0	0	0	1	0	0	8.9	"no"	"female"	"no"	4	3.8608	"no"	"yes"	"no"	"west"	"other"
10	0	0	0	1	0	3	0	6.9	"no"	"male"	"yes"	14	3.312	"no"	"yes"	"no"	"west"	"other"
16	3	0	0	0	0	3	0	7	"no"	"female"	"yes"	12	7.3445	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	14	7.3445	"no"	"yes"	"no"	"west"	"other"
3	3	0	0	2	3	4	0	6.8	"no"	"male"	"yes"	7	2.6292	"no"	"yes"	"no"	"west"	"poor"
4	1	0	0	0	0	1	0	7	"yes"	"male"	"yes"	3	2.0596	"no"	"no"	"no"	"west"	"other"
2	0	0	0	0	0	1	1	7	"yes"	"female"	"no"	11	0.4668	"no"	"no"	"yes"	"west"	"other"
14	16	1	0	0	0	5	1	7.5	"no"	"male"	"yes"	12	2.8645	"no"	"yes"	"no"	"west"	"other"
24	33	0	0	0	0	4	1	7.4	"no"	"female"	"yes"	10	2.8645	"no"	"yes"	"no"	"west"	"other"
9	0	0	0	0	0	2	0	8.8	"no"	"female"	"no"	14	4.5683	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	0	0	8.3	"no"	"female"	"no"	16	4.5683	"no"	"yes"	"no"	"west"	"other"
6	0	1	0	1	1	2	0	8	"no"	"female"	"no"	13	0.9286	"yes"	"yes"	"no"	"west"	"other"
4	5	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	18	8.0812	"no"	"yes"	"no"	"west"	"other"
36	7	2	1	0	0	0	0	7.3	"no"	"female"	"yes"	17	8.0812	"no"	"yes"	"no"	"west"	"other"
6	0	0	0	0	0	0	1	8.9	"no"	"female"	"no"	16	5.05	"no"	"yes"	"no"	"west"	"other"
1	6	0	0	1	0	3	1	9.4	"no"	"female"	"no"	16	1.3706	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	1	7.8	"no"	"female"	"no"	12	1.4076	"no"	"no"	"no"	"west"	"other"
10	4	8	2	3	2	2	0	6.9	"no"	"male"	"yes"	10	3.2198	"no"	"yes"	"no"	"west"	"other"
3	0	0	1	0	0	2	0	7.1	"no"	"female"	"yes"	11	3.2198	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	7	"no"	"female"	"no"	8	2.3185	"no"	"yes"	"no"	"west"	"other"
19	16	0	0	0	0	3	0	6.9	"no"	"female"	"yes"	12	1.7007	"no"	"yes"	"no"	"west"	"excellent"
16	24	2	0	0	1	3	0	7.1	"no"	"male"	"yes"	12	1.7007	"no"	"yes"	"no"	"west"	"other"
3	0	0	1	0	0	1	0	7.6	"no"	"male"	"yes"	12	3.6664	"yes"	"yes"	"no"	"west"	"other"
6	0	0	0	1	0	1	0	6.8	"no"	"female"	"yes"	13	3.6664	"yes"	"yes"	"no"	"west"	"other"
5	0	0	0	0	0	0	1	7.1	"no"	"female"	"yes"	12	3.239886	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	16	2.2218	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	2	3	1	7.2	"no"	"female"	"yes"	12	2.2218	"no"	"yes"	"no"	"west"	"poor"
5	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	2.8483	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	1	1	9.1	"no"	"male"	"no"	14	0.6032	"no"	"yes"	"no"	"west"	"other"
5	1	0	0	0	0	5	0	6.7	"no"	"female"	"no"	12	0.9829	"no"	"yes"	"no"	"west"	"poor"
4	1	0	0	1	0	4	0	8.4	"no"	"female"	"no"	7	1.1229	"no"	"yes"	"no"	"west"	"other"
6	3	1	0	0	0	1	0	9	"no"	"female"	"no"	8	8.7048	"no"	"yes"	"no"	"west"	"other"
6	18	0	0	0	0	0	0	6.6	"no"	"female"	"no"	12	0.8328	"no"	"yes"	"no"	"west"	"excellent"
8	16	0	3	0	1	1	0	7.3	"no"	"female"	"no"	18	1.4217	"no"	"yes"	"no"	"west"	"other"
12	0	1	1	0	0	3	0	7.5	"no"	"female"	"no"	10	0.7824	"no"	"yes"	"no"	"west"	"other"
2	2	0	0	0	0	3	0	7.8	"no"	"female"	"yes"	14	1.1196	"no"	"yes"	"no"	"west"	"other"
21	26	2	1	0	4	2	0	8.3	"no"	"male"	"yes"	18	1.1196	"no"	"yes"	"no"	"west"	"other"
4	1	1	0	1	1	0	0	8	"no"	"male"	"yes"	16	3.27	"no"	"yes"	"no"	"west"	"other"
2	0	1	0	0	0	1	0	7.7	"no"	"female"	"yes"	16	3.27	"no"	"yes"	"no"	"west"	"other"
58	0	1	0	1	1	0	1	6.9	"no"	"male"	"yes"	18	1.2	"no"	"yes"	"no"	"west"	"other"
21	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	18	1.2	"no"	"yes"	"no"	"west"	"other"
11	16	0	0	1	0	2	1	8.2	"no"	"female"	"no"	11	0.8364	"no"	"yes"	"no"	"west"	"other"
2	1	0	0	0	0	2	1	8.3	"no"	"male"	"yes"	9	1.836	"no"	"yes"	"no"	"west"	"other"
4	1	0	0	0	0	3	1	8	"no"	"female"	"yes"	12	1.836	"no"	"yes"	"no"	"west"	"other"
6	1	0	0	0	0	0	0	6.7	"no"	"female"	"no"	14	3.7	"no"	"yes"	"no"	"west"	"other"
0	0	0	1	0	0	0	0	8.2	"no"	"male"	"yes"	8	6.13	"no"	"yes"	"no"	"west"	"other"
9	1	0	0	0	1	2	1	7.7	"no"	"female"	"yes"	12	6.13	"no"	"yes"	"no"	"west"	"other"
7	0	2	0	3	5	0	0	8.5	"no"	"male"	"yes"	16	6.4774	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	8	"no"	"female"	"yes"	14	6.4774	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	1	6.9	"no"	"female"	"no"	2	0.528	"no"	"no"	"yes"	"west"	"other"
8	0	1	0	0	2	3	1	8.2	"no"	"female"	"no"	0	9.749097	"no"	"yes"	"no"	"west"	"other"
43	0	0	0	0	0	1	0	7.7	"no"	"female"	"no"	11	0.66	"no"	"yes"	"no"	"west"	"other"
7	4	0	0	0	0	0	0	7.7	"no"	"female"	"no"	13	1.9014	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	7.3	"no"	"female"	"no"	12	3.2724	"no"	"yes"	"no"	"west"	"other"
23	6	0	0	0	0	5	0	8.4	"no"	"male"	"no"	5	0.0458	"no"	"yes"	"yes"	"west"	"other"
10	7	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	1.4208	"no"	"no"	"no"	"west"	"other"
6	0	2	1	2	0	0	0	7.2	"no"	"female"	"yes"	12	4.7776	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7.5	"no"	"male"	"yes"	13	4.7776	"yes"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	4	0	7.6	"no"	"female"	"yes"	12	11.2583	"yes"	"yes"	"no"	"west"	"excellent"
17	0	1	1	0	0	1	0	7.8	"no"	"male"	"yes"	12	11.2583	"no"	"yes"	"no"	"west"	"other"
9	0	0	0	0	0	2	0	7	"no"	"female"	"no"	15	1.6013	"no"	"yes"	"no"	"west"	"poor"
1	0	0	0	0	0	3	1	6.6	"no"	"female"	"no"	13	1.1092	"no"	"yes"	"no"	"west"	"other"
16	0	1	0	0	0	2	0	7.1	"no"	"female"	"no"	8	0.7286	"no"	"no"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	7	2.3024	"no"	"yes"	"no"	"west"	"excellent"
1	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	5	2.3024	"no"	"no"	"no"	"west"	"excellent"
0	0	6	0	0	0	0	0	7	"yes"	"female"	"no"	9	0.484	"no"	"no"	"no"	"west"	"other"
1	1	0	0	0	0	3	0	7	"no"	"female"	"no"	10	2.491	"no"	"yes"	"no"	"noreast"	"other"
9	1	0	0	1	3	2	0	7.6	"no"	"female"	"no"	8	3.1891	"yes"	"no"	"no"	"noreast"	"other"
4	0	0	0	0	1	2	0	7.8	"no"	"male"	"yes"	18	17.5166	"yes"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	1	0	7.6	"no"	"female"	"no"	13	0.5388	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	8.9	"no"	"female"	"no"	16	0.48	"no"	"no"	"no"	"noreast"	"excellent"
17	2	0	0	1	1	1	0	6.8	"no"	"male"	"yes"	12	4.33537	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	1	3	3	1	6.7	"yes"	"male"	"yes"	6	0.6	"no"	"no"	"yes"	"noreast"	"poor"
1	0	1	1	1	5	3	1	8.7	"no"	"female"	"no"	16	5.8077	"no"	"no"	"yes"	"noreast"	"poor"
8	0	0	0	0	0	0	0	7.7	"no"	"male"	"yes"	16	8.0041	"yes"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	14	8.0041	"no"	"yes"	"no"	"noreast"	"other"
4	1	0	0	0	0	2	0	6.6	"no"	"female"	"no"	18	3.5074	"yes"	"yes"	"no"	"noreast"	"excellent"
2	0	2	0	0	0	1	0	7.6	"no"	"male"	"yes"	12	8.0875	"no"	"yes"	"no"	"noreast"	"other"
8	4	5	0	1	1	1	0	7.8	"no"	"female"	"yes"	12	8.0875	"no"	"yes"	"no"	"noreast"	"excellent"
0	0	1	0	0	0	1	1	8.1	"no"	"male"	"yes"	11	1.0601	"no"	"yes"	"no"	"noreast"	"poor"
1	3	0	0	0	0	1	0	7.3	"no"	"female"	"no"	10	0.7728	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	1	0	6.6	"no"	"female"	"no"	18	3.482	"yes"	"yes"	"no"	"noreast"	"other"
13	3	0	1	0	0	3	1	9.5	"no"	"female"	"no"	3	3.482	"no"	"yes"	"no"	"noreast"	"other"
8	2	0	1	0	0	4	0	7.3	"no"	"female"	"no"	12	1.4099	"no"	"yes"	"no"	"noreast"	"other"
4	3	0	0	0	0	0	1	8.5	"no"	"female"	"no"	8	4.3392	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	1	1	1	9.4	"no"	"female"	"no"	10	8.7614	"no"	"yes"	"no"	"noreast"	"other"
3	5	1	0	0	0	1	0	8.1	"no"	"male"	"yes"	15	0.1	"yes"	"yes"	"no"	"noreast"	"other"
4	1	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	0.1	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	2	0	7.1	"no"	"female"	"no"	12	2.2256	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.7	"no"	"male"	"yes"	9	2.332	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	4	2	4	0	0	7.2	"no"	"female"	"yes"	9	2.332	"no"	"yes"	"no"	"noreast"	"other"
5	7	0	0	0	1	2	1	8.5	"no"	"female"	"no"	7	0.6593	"no"	"yes"	"no"	"noreast"	"other"
6	0	5	1	1	1	2	0	7.9	"no"	"male"	"no"	9	1.9532	"no"	"no"	"no"	"noreast"	"other"
5	0	0	0	1	2	1	1	8.4	"no"	"female"	"no"	8	10.2892	"no"	"no"	"yes"	"noreast"	"poor"
4	4	0	0	0	0	0	0	7.6	"yes"	"female"	"no"	3	0.396	"no"	"yes"	"no"	"noreast"	"other"
2	0	8	0	0	0	3	1	8.3	"yes"	"female"	"no"	6	0.4855	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	12	1.4375	"no"	"yes"	"no"	"noreast"	"other"
9	0	1	0	0	1	3	0	7.7	"no"	"male"	"no"	15	3.7804	"yes"	"yes"	"no"	"noreast"	"other"
10	0	0	0	0	0	4	1	8.4	"no"	"female"	"no"	12	0.9449	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	1	0	0	1	0	8.1	"no"	"female"	"no"	13	1.074	"no"	"yes"	"no"	"noreast"	"other"
7	3	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	16	1.7413	"yes"	"yes"	"no"	"noreast"	"other"
5	0	1	1	0	0	5	0	8.7	"no"	"female"	"no"	8	1.7413	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	8.6	"no"	"male"	"yes"	12	1.164	"no"	"yes"	"no"	"noreast"	"other"
7	3	0	0	0	0	1	0	8.6	"no"	"female"	"yes"	12	1.164	"no"	"yes"	"no"	"noreast"	"other"
12	0	0	0	0	0	3	0	7.7	"no"	"female"	"no"	10	1.4578	"no"	"yes"	"no"	"noreast"	"other"
6	2	0	2	0	0	1	0	7.8	"no"	"female"	"no"	9	0.6394	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	2	0	7.3	"no"	"female"	"no"	8	1.44	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	8	"no"	"male"	"yes"	12	1.914	"no"	"yes"	"no"	"noreast"	"poor"
0	0	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	10	1.914	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	11	2.776	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	12	3.6284	"no"	"no"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.7	"no"	"male"	"yes"	8	4.0516	"no"	"yes"	"no"	"noreast"	"other"
8	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	8	4.0516	"no"	"yes"	"no"	"noreast"	"other"
11	0	0	0	0	0	6	1	7.4	"no"	"male"	"yes"	12	2.1113	"no"	"yes"	"no"	"noreast"	"poor"
7	0	0	2	0	0	3	0	7.6	"no"	"male"	"yes"	8	1.3531	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	12	1.2064	"no"	"yes"	"no"	"noreast"	"other"
16	0	2	0	1	1	3	0	8.4	"no"	"female"	"no"	7	1.5314	"no"	"yes"	"no"	"noreast"	"other"
12	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	7	1.7848	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"no"	8	0.5736	"no"	"no"	"no"	"noreast"	"other"
18	1	2	2	0	0	3	0	6.6	"no"	"female"	"no"	6	0.1859	"no"	"no"	"yes"	"noreast"	"poor"
6	1	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	11	2.9258	"yes"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	8.7	"no"	"female"	"no"	0	3.7662	"no"	"no"	"no"	"noreast"	"other"
7	0	0	0	0	0	2	0	6.7	"no"	"female"	"no"	8	0.5232	"no"	"yes"	"no"	"noreast"	"other"
24	0	0	0	1	3	2	0	7.2	"no"	"male"	"yes"	8	5.6204	"no"	"yes"	"no"	"noreast"	"other"
20	0	2	0	0	2	1	0	8.9	"no"	"female"	"no"	6	0.6024	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	6	0.8208	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	6	0.8208	"no"	"yes"	"no"	"noreast"	"other"
11	0	0	0	0	0	1	0	7.3	"no"	"female"	"no"	12	1.1952	"no"	"no"	"yes"	"noreast"	"other"
13	1	0	0	0	1	2	0	8.2	"no"	"male"	"yes"	7	2.2448	"no"	"yes"	"no"	"noreast"	"other"
20	1	1	0	0	0	1	1	7.9	"no"	"female"	"yes"	5	2.2448	"no"	"yes"	"no"	"noreast"	"poor"
8	4	0	0	0	1	1	0	7	"no"	"female"	"no"	16	2.1353	"no"	"yes"	"no"	"other"	"other"
17	0	0	3	1	1	5	0	6.6	"no"	"male"	"yes"	12	3.3262	"no"	"yes"	"no"	"other"	"other"
12	0	0	3	0	0	2	0	7.1	"no"	"female"	"yes"	12	3.3262	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	1.2346	"yes"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	1	8.4	"no"	"female"	"no"	9	0.317	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	0	1	0	6.8	"yes"	"female"	"no"	7	0.4106	"no"	"no"	"no"	"other"	"other"
7	2	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	4.6217	"yes"	"yes"	"no"	"other"	"other"
10	1	0	1	0	0	2	1	6.6	"no"	"female"	"no"	10	3.093	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	6.9	"no"	"male"	"yes"	16	5.0077	"yes"	"yes"	"no"	"other"	"other"
5	23	12	2	1	0	1	0	7.6	"no"	"female"	"yes"	11	3.588	"no"	"yes"	"no"	"other"	"other"
24	1	1	0	0	2	3	0	7.8	"no"	"male"	"yes"	8	2.4386	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	2.4386	"no"	"yes"	"no"	"other"	"other"
0	0	10	1	1	0	1	0	7.1	"no"	"male"	"yes"	16	4.078	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	14	0.8232	"no"	"yes"	"no"	"other"	"other"
4	4	0	2	0	0	1	0	6.6	"no"	"female"	"no"	11	1.7636	"no"	"yes"	"no"	"other"	"other"
2	0	1	0	0	0	1	0	7.6	"no"	"female"	"no"	8	0.6152	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	2	0	7	"no"	"female"	"no"	8	0.4428	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	0	0	1	1	8.3	"yes"	"female"	"no"	7	4.0132	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	0	0	1	0	6.9	"yes"	"male"	"yes"	8	2.84	"yes"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	2	0	7.4	"yes"	"female"	"yes"	9	2.84	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	8.6	"yes"	"male"	"no"	12	0.4225	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.6	"yes"	"female"	"no"	8	0.9306	"no"	"no"	"no"	"other"	"other"
0	0	2	0	1	3	3	0	6.8	"yes"	"male"	"no"	7	0.6	"no"	"no"	"no"	"other"	"poor"
3	0	0	0	1	0	1	1	9.1	"yes"	"female"	"no"	5	0.4308	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	2	0	8.7	"yes"	"male"	"no"	0	1.394	"no"	"no"	"no"	"other"	"other"
13	0	1	0	2	1	2	0	7.6	"no"	"male"	"yes"	7	0.8577	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	3	0	6.8	"no"	"female"	"yes"	6	0.8577	"no"	"yes"	"no"	"other"	"other"
4	1	2	0	0	0	2	0	7.9	"no"	"female"	"no"	4	0.432	"no"	"no"	"yes"	"other"	"poor"
3	4	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	12	1.632	"no"	"yes"	"no"	"other"	"excellent"
8	0	0	0	0	0	2	0	7.9	"no"	"female"	"yes"	16	1.632	"no"	"yes"	"no"	"other"	"other"
4	1	1	0	0	0	1	0	7.8	"no"	"male"	"yes"	16	1.4639	"no"	"yes"	"no"	"other"	"other"
2	1	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	12	1.4639	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	4	0.4704	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.3	"yes"	"male"	"yes"	18	0.612	"no"	"no"	"no"	"midwest"	"other"
5	3	0	2	1	1	1	0	8.2	"no"	"female"	"no"	8	0.692	"no"	"yes"	"no"	"midwest"	"other"
0	1	0	0	1	0	2	0	8.1	"no"	"female"	"no"	8	0.6138	"no"	"yes"	"no"	"midwest"	"other"
7	0	1	0	0	0	1	0	7.7	"no"	"female"	"no"	9	0.4848	"no"	"yes"	"yes"	"midwest"	"other"
0	1	1	0	0	0	2	0	7.9	"no"	"female"	"no"	9	0.7039	"no"	"yes"	"no"	"midwest"	"other"
9	7	1	0	0	0	4	1	6.8	"no"	"female"	"no"	12	1.2968	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	13	2.7497	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	12	2.7497	"yes"	"yes"	"no"	"midwest"	"other"
1	4	0	0	0	0	0	0	9.1	"no"	"female"	"no"	8	0.9126	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.5	"no"	"male"	"no"	12	0.9126	"no"	"yes"	"yes"	"midwest"	"other"
4	0	0	0	0	1	0	0	6.9	"no"	"female"	"no"	12	3.222	"no"	"yes"	"no"	"midwest"	"other"
8	0	1	0	0	0	0	0	6.6	"no"	"male"	"yes"	8	0.8518	"no"	"yes"	"no"	"midwest"	"other"
17	1	0	0	0	0	0	0	7.8	"no"	"female"	"no"	12	0.3864	"no"	"yes"	"no"	"midwest"	"excellent"
17	4	6	2	1	2	4	0	7.3	"no"	"male"	"yes"	12	22.9663	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	2	0	6.6	"no"	"female"	"yes"	12	22.9663	"yes"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"female"	"no"	8	0.9107	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	0	0	2	0	7.4	"no"	"female"	"no"	8	0.9107	"no"	"no"	"yes"	"midwest"	"other"
3	53	0	0	0	0	1	0	6.6	"no"	"female"	"no"	8	0.8174	"no"	"yes"	"no"	"midwest"	"other"
2	5	0	0	1	1	1	1	7.1	"no"	"male"	"yes"	0	1.656	"no"	"yes"	"no"	"midwest"	"poor"
4	0	0	0	1	0	4	1	7.6	"no"	"male"	"yes"	8	1.4031	"no"	"yes"	"no"	"midwest"	"poor"
4	1	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	10	1.4031	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	1	7.7	"no"	"male"	"yes"	10	1.0416	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.4	"yes"	"male"	"yes"	12	1.3956	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	1	0	0	7.2	"yes"	"female"	"yes"	12	1.3956	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7	"yes"	"male"	"no"	4	0.3936	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	8	2.4	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	1	1	8.9	"no"	"female"	"no"	10	2.6852	"no"	"no"	"no"	"west"	"other"
3	0	0	0	0	1	2	0	6.7	"no"	"male"	"yes"	10	2.0232	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	4	0	8.3	"no"	"male"	"no"	6	2.0232	"no"	"no"	"no"	"west"	"poor"
2	0	0	0	0	0	1	0	7.9	"no"	"female"	"no"	12	2.8769	"no"	"yes"	"no"	"west"	"other"
5	0	0	1	0	1	1	0	7.1	"no"	"male"	"yes"	18	5.7564	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	14	2.58	"no"	"yes"	"no"	"west"	"other"
5	4	1	0	0	0	1	0	7.2	"no"	"male"	"yes"	12	1.8208	"no"	"yes"	"no"	"west"	"other"
3	14	0	0	0	0	2	0	6.7	"no"	"female"	"yes"	11	1.8208	"no"	"yes"	"no"	"west"	"other"
27	4	0	0	1	1	2	0	6.6	"no"	"male"	"yes"	12	2.4094	"no"	"yes"	"no"	"west"	"poor"
30	0	0	0	1	0	1	0	7.7	"no"	"female"	"no"	6	0.923	"no"	"yes"	"no"	"west"	"poor"
1	3	0	0	0	0	0	0	7	"no"	"male"	"yes"	8	1.9574	"no"	"yes"	"no"	"west"	"other"
7	0	1	0	2	1	0	0	6.7	"no"	"female"	"yes"	8	1.9574	"no"	"yes"	"no"	"west"	"other"
12	5	0	1	1	0	3	0	7.1	"no"	"male"	"yes"	14	1.428	"no"	"yes"	"no"	"west"	"other"
21	1	0	2	6	4	1	0	7.2	"no"	"female"	"yes"	13	1.428	"no"	"yes"	"no"	"west"	"other"
41	31	2	2	0	0	2	1	7	"no"	"female"	"no"	12	1.6511	"yes"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	11	6.4184	"no"	"yes"	"no"	"west"	"other"
13	1	0	0	0	0	5	0	6.8	"no"	"female"	"yes"	12	6.4184	"no"	"yes"	"no"	"west"	"other"
2	5	1	0	0	0	3	0	6.9	"no"	"female"	"no"	12	1.5397	"no"	"yes"	"no"	"west"	"other"
3	1	3	0	0	0	2	0	7.9	"no"	"male"	"yes"	12	3.7644	"no"	"yes"	"no"	"west"	"other"
4	1	0	0	0	0	0	0	7.5	"no"	"female"	"yes"	12	3.7644	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	1	0	8	"no"	"male"	"yes"	12	1.9284	"no"	"yes"	"no"	"west"	"other"
9	0	0	0	1	3	2	0	7.8	"no"	"female"	"yes"	12	1.9284	"no"	"yes"	"no"	"west"	"other"
0	0	6	2	1	2	1	0	6.8	"no"	"female"	"no"	12	0.6802	"yes"	"no"	"no"	"west"	"other"
13	6	0	0	0	0	1	0	7.3	"no"	"female"	"no"	15	0.5266	"no"	"yes"	"no"	"west"	"excellent"
0	21	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	16	20.7868	"yes"	"yes"	"no"	"west"	"other"
6	16	1	0	0	0	2	0	6.6	"no"	"female"	"yes"	16	20.7868	"yes"	"yes"	"no"	"west"	"excellent"
5	1	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	18	11.8456	"no"	"yes"	"no"	"west"	"other"
7	4	0	0	0	0	0	0	7	"no"	"female"	"yes"	18	11.8456	"no"	"yes"	"no"	"west"	"other"
0	0	2	0	1	0	0	0	6.8	"no"	"male"	"yes"	12	3.1339	"no"	"yes"	"no"	"west"	"other"
0	0	2	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	3.1339	"no"	"yes"	"no"	"west"	"other"
15	20	1	2	0	0	1	0	6.8	"no"	"female"	"no"	12	1.0808	"no"	"yes"	"no"	"west"	"other"
3	0	1	0	2	0	2	1	8	"yes"	"female"	"no"	4	2.9964	"no"	"no"	"no"	"other"	"other"
1	15	0	0	0	0	1	0	6.7	"yes"	"female"	"no"	8	1.4202	"no"	"yes"	"no"	"other"	"other"
9	0	0	0	0	0	3	0	7.6	"yes"	"female"	"no"	4	0.4764	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	8	0.2448	"no"	"yes"	"no"	"other"	"other"
12	0	0	0	0	0	3	1	6.9	"no"	"male"	"no"	2	0.5692	"no"	"no"	"no"	"other"	"poor"
16	0	0	0	0	0	2	0	6.7	"no"	"female"	"yes"	11	0.580034	"no"	"yes"	"no"	"other"	"poor"
4	0	0	0	1	1	2	1	6.9	"no"	"male"	"yes"	12	1.11729	"no"	"yes"	"no"	"other"	"poor"
6	0	0	0	1	1	2	1	8.3	"no"	"female"	"no"	9	3.118	"no"	"yes"	"no"	"other"	"poor"
13	0	0	0	1	0	4	1	6.8	"no"	"female"	"no"	0	0.4404	"no"	"no"	"no"	"other"	"poor"
51	0	0	0	4	0	1	1	6.6	"no"	"female"	"no"	5	1.0322	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	6	1.4532	"yes"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	0	0	6.8	"no"	"male"	"no"	0	0.2078	"no"	"no"	"no"	"other"	"other"
3	0	0	0	2	0	1	0	7	"no"	"male"	"yes"	9	1.7718	"no"	"yes"	"yes"	"other"	"other"
4	0	0	0	0	0	1	1	8.6	"yes"	"male"	"yes"	12	1.5639	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	1	7.5	"yes"	"female"	"yes"	12	1.5639	"no"	"yes"	"no"	"other"	"other"
4	0	2	0	0	0	1	0	7.6	"yes"	"female"	"no"	6	0.3878	"no"	"no"	"no"	"other"	"other"
14	0	0	1	0	1	5	0	6.9	"no"	"female"	"no"	2	0.426	"no"	"no"	"yes"	"other"	"poor"
13	11	5	0	0	0	6	0	7.9	"no"	"female"	"no"	5	0.1596	"no"	"yes"	"no"	"other"	"poor"
2	0	0	0	1	0	1	1	8.3	"no"	"female"	"no"	8	0.8149	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	8	3.266	"yes"	"yes"	"no"	"other"	"other"
9	0	0	0	1	1	4	1	7.5	"no"	"male"	"no"	11	0.4656	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	8	0.4404	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	11	0.95559	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	7.5	"no"	"female"	"no"	10	0.8912	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.8	"no"	"male"	"yes"	4	2.5961	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	7	2.165648	"no"	"yes"	"no"	"other"	"other"
7	0	0	1	0	0	1	0	7.7	"no"	"female"	"yes"	12	3.1724	"no"	"yes"	"no"	"other"	"other"
8	0	3	1	0	0	0	0	6.7	"no"	"male"	"yes"	18	10.2567	"yes"	"yes"	"no"	"other"	"other"
27	22	3	1	1	0	2	0	6.9	"no"	"female"	"no"	14	2.7169	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	0	0	8.3	"no"	"male"	"yes"	18	2.6063	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	0	1	7.6	"no"	"female"	"yes"	12	2.6063	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	8.1	"no"	"male"	"yes"	12	2.722	"no"	"yes"	"no"	"other"	"other"
5	0	2	0	1	2	6	1	8.3	"no"	"male"	"no"	0	0.8414	"no"	"yes"	"no"	"other"	"poor"
13	4	0	0	0	3	3	0	7.1	"no"	"female"	"no"	8	0.964	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	12	0.4632	"no"	"yes"	"no"	"other"	"other"
7	2	2	0	0	0	5	0	7	"no"	"female"	"no"	7	0.9242	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	18	14.1706	"yes"	"yes"	"no"	"other"	"poor"
4	0	0	0	0	0	1	0	7.8	"no"	"male"	"yes"	13	11.142	"no"	"yes"	"no"	"other"	"other"
15	0	0	0	2	1	1	0	7.6	"no"	"female"	"yes"	13	11.142	"no"	"yes"	"no"	"other"	"other"
19	10	0	0	0	0	4	1	7.2	"no"	"male"	"yes"	4	0.6144	"no"	"no"	"yes"	"other"	"poor"
1	1	0	1	0	0	1	0	6.9	"no"	"female"	"yes"	7	0.6144	"no"	"no"	"yes"	"other"	"other"
18	0	2	0	0	0	4	1	7.7	"no"	"female"	"no"	7	0.2604	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	0	2	1	0	7.8	"no"	"male"	"yes"	0	0.6912	"no"	"no"	"no"	"other"	"poor"
1	0	0	0	0	0	1	1	7.6	"no"	"female"	"yes"	5	0.6912	"no"	"no"	"no"	"other"	"poor"
12	0	0	1	0	0	4	1	7.3	"no"	"female"	"no"	6	2.3892	"no"	"no"	"yes"	"other"	"poor"
1	12	0	0	0	0	3	1	7.6	"no"	"male"	"yes"	12	3.115	"no"	"yes"	"no"	"other"	"other"
7	24	0	0	1	2	1	1	7.7	"no"	"female"	"yes"	13	3.115	"no"	"yes"	"no"	"other"	"other"
4	0	0	3	0	0	0	0	6.6	"no"	"male"	"yes"	7	3.294	"no"	"yes"	"no"	"other"	"other"
8	0	0	1	1	0	1	1	8.9	"no"	"male"	"yes"	8	4.6964	"no"	"yes"	"no"	"other"	"other"
34	0	0	0	0	0	6	0	6.7	"no"	"female"	"no"	3	0.4248	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	1	0	7.9	"no"	"male"	"yes"	4	0.6922	"no"	"yes"	"no"	"other"	"poor"
4	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	9	0.6922	"no"	"yes"	"no"	"other"	"poor"
7	0	0	1	0	0	3	0	7.1	"no"	"female"	"no"	8	0.48	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	1	8.3	"yes"	"female"	"no"	11	2.1152	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	2	1	1	7.7	"no"	"female"	"no"	1	0.31089	"no"	"yes"	"yes"	"other"	"other"
3	0	1	0	0	0	0	0	6.7	"no"	"male"	"yes"	5	0.636	"no"	"yes"	"yes"	"other"	"other"
0	0	0	0	1	0	4	1	7.4	"no"	"female"	"yes"	8	0.636	"no"	"yes"	"yes"	"other"	"other"
2	0	0	0	0	0	4	0	7.7	"no"	"female"	"no"	5	0.432	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	10	1.5192	"no"	"yes"	"no"	"other"	"other"
14	2	1	1	0	3	5	1	7.3	"no"	"female"	"yes"	9	1.5192	"no"	"yes"	"no"	"other"	"poor"
9	0	0	0	0	0	2	0	8.1	"no"	"female"	"no"	5	0.4068	"no"	"no"	"yes"	"other"	"other"
3	0	0	0	0	0	1	0	8.1	"no"	"male"	"no"	6	1.2744	"no"	"no"	"no"	"other"	"other"
11	0	0	12	0	0	3	0	6.8	"no"	"male"	"yes"	12	2.5347	"yes"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	3	0	7.7	"no"	"female"	"no"	10	0.4668	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	12	0.8544	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	7	0.8544	"no"	"yes"	"no"	"other"	"other"
55	1	0	0	0	0	5	0	7.9	"no"	"male"	"yes"	10	3.4016	"no"	"no"	"no"	"other"	"other"
14	1	1	1	0	2	1	0	7.8	"no"	"female"	"no"	6	4.5984	"no"	"yes"	"no"	"other"	"other"
61	1	0	1	0	0	1	0	7.6	"no"	"female"	"no"	16	1.1885	"no"	"yes"	"no"	"other"	"other"
2	0	2	1	0	0	3	1	8.4	"no"	"female"	"no"	8	2.4158	"no"	"yes"	"no"	"other"	"poor"
6	0	0	0	1	0	1	0	7.6	"no"	"female"	"no"	8	0.354	"no"	"no"	"no"	"other"	"poor"
5	0	0	2	0	0	1	0	7.3	"no"	"female"	"no"	18	0.8458	"no"	"yes"	"no"	"other"	"other"
8	0	1	0	1	1	3	0	7.6	"no"	"female"	"no"	3	0.432	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	3	0	6.6	"no"	"male"	"yes"	3	0.8328	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	0	0	2	1	7.7	"no"	"female"	"no"	10	1.0464	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	1	8	"no"	"female"	"no"	9	1.0464	"no"	"yes"	"no"	"other"	"other"
4	0	1	1	0	0	1	0	7.1	"no"	"female"	"no"	12	0.3721	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	2	0	8.2	"no"	"female"	"no"	10	0.9096	"no"	"yes"	"no"	"other"	"other"
19	0	0	0	0	1	6	0	7.2	"no"	"female"	"no"	8	3.9032	"no"	"no"	"yes"	"other"	"poor"
9	0	0	0	0	0	4	0	8.1	"no"	"female"	"no"	10	0.576	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	7	"no"	"male"	"yes"	9	0.9723	"no"	"yes"	"no"	"other"	"other"
13	0	0	1	0	0	1	0	7	"no"	"female"	"yes"	7	0.9723	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	12	4.8175	"no"	"yes"	"no"	"other"	"other"
8	0	0	1	0	0	1	0	7.1	"no"	"female"	"yes"	12	4.8175	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.3	"no"	"female"	"no"	12	0.712	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	1	0	7.2	"yes"	"male"	"yes"	4	7.3296	"yes"	"yes"	"no"	"other"	"other"
3	2	0	0	2	2	2	0	7	"yes"	"female"	"yes"	10	7.3296	"yes"	"yes"	"no"	"other"	"other"
10	4	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	7	3.866	"no"	"yes"	"no"	"other"	"other"
9	8	0	0	1	0	0	0	7.4	"no"	"female"	"yes"	7	3.866	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	1	4	0	7.1	"no"	"female"	"no"	9	0.3492	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	9	4.2897	"yes"	"yes"	"no"	"other"	"other"
9	2	0	0	0	0	2	0	8.3	"no"	"female"	"no"	8	0.5032	"no"	"no"	"no"	"other"	"poor"
0	1	0	0	0	0	2	1	7.6	"no"	"female"	"no"	12	2.4187	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	1	6.9	"yes"	"female"	"no"	12	0.9732	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	12	3.4196	"no"	"yes"	"no"	"other"	"other"
7	0	1	0	0	0	2	1	6.8	"no"	"female"	"yes"	12	3.4196	"no"	"yes"	"no"	"other"	"poor"
8	0	0	7	0	2	3	0	7	"no"	"female"	"no"	14	1.2824	"no"	"yes"	"no"	"other"	"other"
9	0	0	0	0	2	6	0	7.3	"no"	"male"	"yes"	6	0.984	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	2	0	7.1	"no"	"female"	"yes"	8	0.984	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	7	"no"	"male"	"yes"	8	2.0153	"no"	"yes"	"no"	"other"	"other"
1	0	1	0	0	0	1	0	7	"no"	"female"	"yes"	11	2.0153	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	1	2	0	6.9	"no"	"female"	"no"	12	0.8895	"no"	"yes"	"no"	"other"	"other"
22	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	0	9	"yes"	"yes"	"no"	"other"	"poor"
0	1	0	0	0	0	0	0	7.6	"yes"	"female"	"no"	14	1.0752	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	1	0	7.1	"no"	"female"	"no"	3	0.432	"no"	"no"	"yes"	"other"	"other"
3	1	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	1.4493	"no"	"yes"	"no"	"other"	"other"
6	1	0	0	0	1	2	0	6.9	"no"	"female"	"yes"	7	1.4493	"no"	"yes"	"no"	"other"	"other"
4	0	0	1	1	1	3	0	7	"no"	"male"	"yes"	7	1.1676	"no"	"no"	"no"	"other"	"other"
13	0	0	0	1	1	1	1	6.6	"no"	"female"	"yes"	0	1.1676	"no"	"no"	"no"	"other"	"poor"
2	1	0	1	0	0	1	0	7	"no"	"female"	"yes"	5	4.4342	"no"	"yes"	"no"	"other"	"poor"
5	0	1	0	1	0	2	1	7.1	"no"	"female"	"no"	8	0.9108	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	8.6	"yes"	"female"	"no"	8	1.17	"no"	"no"	"no"	"other"	"other"
7	2	4	2	3	4	2	0	6.9	"yes"	"male"	"yes"	7	0.9492	"no"	"yes"	"no"	"other"	"poor"
3	2	0	4	0	0	2	0	7	"yes"	"female"	"yes"	8	0.9492	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	9.2	"no"	"female"	"no"	18	3.2632	"yes"	"yes"	"no"	"west"	"other"
2	0	0	0	0	2	3	0	6.8	"no"	"female"	"no"	10	0.2807	"no"	"yes"	"no"	"west"	"other"
0	0	2	0	0	0	2	1	8.3	"no"	"female"	"no"	8	0.752	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	3	0	9.5	"yes"	"female"	"no"	12	0.846	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	5	0	7.3	"yes"	"female"	"no"	7	0.846	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	3	0	9.3	"yes"	"male"	"yes"	3	1.242	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	2	1	7.7	"yes"	"female"	"no"	0	1.596	"no"	"no"	"yes"	"other"	"poor"
3	6	1	9	0	0	1	0	6.7	"yes"	"female"	"no"	12	0.2149	"no"	"yes"	"no"	"other"	"other"
3	0	7	0	0	2	2	1	8.1	"yes"	"female"	"no"	2	2.1291	"no"	"yes"	"no"	"other"	"poor"
0	0	1	0	2	1	0	0	6.6	"yes"	"male"	"yes"	8	2.1291	"yes"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.3	"yes"	"female"	"no"	4	0.432	"no"	"no"	"no"	"other"	"poor"
0	0	5	0	2	1	2	1	7.3	"yes"	"female"	"no"	12	0.4296	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.7	"yes"	"female"	"no"	5	2.4446	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	6	1	7.6	"yes"	"male"	"yes"	8	0.8376	"no"	"no"	"no"	"other"	"other"
31	0	1	0	2	1	4	1	6.7	"no"	"female"	"yes"	11	2.2722	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	0	0	7.6	"no"	"male"	"yes"	12	2.2722	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	10	1.378	"no"	"yes"	"no"	"other"	"other"
12	0	0	1	0	0	1	0	6.7	"no"	"female"	"no"	10	0.3492	"no"	"yes"	"no"	"other"	"poor"
1	0	3	0	0	0	3	0	8.4	"no"	"female"	"no"	7	0.4248	"no"	"no"	"yes"	"other"	"other"
8	0	0	0	2	2	3	1	7.4	"no"	"female"	"no"	7	4.1508	"no"	"yes"	"no"	"other"	"poor"
4	6	8	0	1	1	3	1	7.9	"no"	"male"	"yes"	11	0.7296	"no"	"yes"	"no"	"other"	"other"
0	0	15	0	1	2	4	0	7.5	"no"	"female"	"yes"	9	0.7296	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	4.7299	"no"	"yes"	"no"	"other"	"other"
0	0	8	0	0	0	3	0	6.7	"no"	"male"	"yes"	12	0.5412	"no"	"yes"	"no"	"other"	"poor"
0	0	6	0	0	0	2	0	6.9	"no"	"female"	"yes"	3	0.5412	"no"	"yes"	"no"	"other"	"poor"
0	1	0	0	0	0	0	0	6.7	"no"	"female"	"no"	12	14.6477	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	1	1	1	1	8.9	"no"	"female"	"no"	9	14.6477	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	2	0	7.3	"no"	"male"	"yes"	18	5.566	"no"	"yes"	"no"	"other"	"other"
5	2	0	0	0	0	2	1	7.7	"no"	"female"	"no"	8	0.9174	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	7.6	"no"	"male"	"yes"	8	1.2379	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	1	1	3	0	6.6	"no"	"female"	"yes"	8	1.2379	"no"	"yes"	"no"	"other"	"poor"
11	0	0	0	1	1	0	0	7	"no"	"female"	"no"	7	0.6009	"yes"	"yes"	"no"	"other"	"other"
16	0	3	0	1	2	0	0	7.7	"no"	"male"	"yes"	12	0.7644	"no"	"no"	"no"	"other"	"other"
6	3	11	0	0	0	3	0	8.2	"no"	"male"	"no"	11	1.3949	"no"	"yes"	"no"	"other"	"other"
0	0	3	1	0	0	2	0	7.3	"no"	"female"	"no"	10	0.432	"no"	"yes"	"yes"	"other"	"other"
0	0	0	0	0	1	0	0	7.3	"no"	"male"	"yes"	8	1.4884	"no"	"yes"	"no"	"other"	"other"
2	0	17	5	3	1	5	1	7.2	"no"	"female"	"yes"	9	1.4884	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	1	1	1	1	7.9	"no"	"female"	"no"	8	0.6228	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	2	3	5	1	7.1	"no"	"male"	"yes"	7	0.6564	"no"	"no"	"no"	"other"	"poor"
1	0	5	0	1	0	3	1	9.3	"no"	"female"	"no"	11	0.5972	"no"	"yes"	"no"	"other"	"other"
47	1	21	1	0	0	3	0	7.5	"no"	"female"	"no"	16	0.8387	"no"	"yes"	"no"	"other"	"other"
14	0	2	0	0	0	4	0	6.8	"no"	"female"	"no"	8	0.3574	"no"	"yes"	"no"	"other"	"other"
0	0	3	1	0	0	2	0	8.4	"no"	"female"	"no"	7	0.712	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	2	0	7.2	"yes"	"female"	"no"	9	0.432	"no"	"no"	"yes"	"other"	"other"
0	0	4	0	0	0	3	0	7.4	"no"	"male"	"no"	12	0.7188	"no"	"yes"	"no"	"other"	"other"
4	0	1	1	1	0	2	0	7.8	"no"	"female"	"no"	16	0.3825	"no"	"yes"	"no"	"other"	"other"
14	0	1	2	0	0	3	0	7.5	"no"	"female"	"no"	12	0.8582	"no"	"yes"	"no"	"other"	"other"
0	0	0	113	0	1	1	1	7.4	"yes"	"female"	"no"	6	0.4488	"no"	"yes"	"yes"	"other"	"other"
2	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	9	0.6528	"no"	"yes"	"no"	"other"	"excellent"
6	0	4	0	3	2	5	1	8.1	"no"	"female"	"no"	10	0.4268	"no"	"no"	"yes"	"other"	"other"
1	0	11	0	0	0	2	0	7.2	"no"	"female"	"no"	12	0.612	"no"	"yes"	"yes"	"other"	"other"
2	0	2	0	0	0	1	0	7.1	"yes"	"female"	"no"	9	1.0961	"no"	"no"	"no"	"other"	"other"
0	0	11	0	0	0	2	0	7.5	"no"	"female"	"no"	12	0.6516	"no"	"yes"	"no"	"other"	"other"
4	0	2	0	0	0	4	1	8.8	"no"	"female"	"no"	12	0.504	"no"	"yes"	"yes"	"other"	"other"
5	8	0	0	0	0	2	0	7.3	"no"	"female"	"no"	7	0.9204	"no"	"yes"	"no"	"other"	"other"
3	0	1	1	1	0	2	0	8.6	"no"	"female"	"no"	9	0.912	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	1	0	4	1	7.9	"no"	"female"	"no"	15	0.4596	"no"	"yes"	"no"	"other"	"poor"
6	0	0	0	0	0	2	1	6.6	"no"	"female"	"no"	5	0.4488	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	2	1	7.5	"no"	"female"	"no"	14	1.1916	"no"	"yes"	"no"	"other"	"poor"
7	0	0	0	0	1	2	0	8.1	"no"	"female"	"no"	12	0.5598	"no"	"yes"	"yes"	"other"	"other"
0	0	0	0	0	0	3	0	6.8	"yes"	"male"	"no"	4	0.4548	"no"	"no"	"yes"	"other"	"poor"
15	0	0	1	0	1	2	1	7.5	"yes"	"female"	"no"	12	0.3484	"no"	"yes"	"no"	"other"	"other"
15	0	2	1	0	0	0	1	7.6	"yes"	"female"	"no"	15	0.216	"no"	"yes"	"no"	"other"	"excellent"
0	0	6	1	0	0	1	0	7.1	"yes"	"male"	"no"	5	0.9409	"no"	"yes"	"yes"	"other"	"other"
1	1	1	1	0	0	1	0	6.7	"yes"	"male"	"yes"	8	0.7473	"no"	"no"	"no"	"other"	"other"
10	3	2	0	0	0	1	0	6.9	"yes"	"female"	"yes"	5	1.2916	"no"	"no"	"no"	"other"	"other"
3	0	1	0	1	1	0	1	7.9	"yes"	"male"	"yes"	4	1.3656	"no"	"no"	"no"	"other"	"other"
1	0	1	1	0	0	1	1	7.2	"yes"	"female"	"yes"	8	1.3656	"no"	"no"	"no"	"other"	"other"
10	2	1	0	0	0	1	0	8.3	"yes"	"female"	"no"	8	0.4308	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	1	0	7.8	"yes"	"male"	"yes"	6	1.6108	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	3	1	7.7	"yes"	"female"	"yes"	6	1.6108	"no"	"yes"	"no"	"other"	"poor"
11	1	0	0	1	2	6	1	7.4	"no"	"female"	"no"	9	1.408	"no"	"yes"	"yes"	"other"	"poor"
0	0	2	0	0	0	1	0	6.8	"no"	"male"	"no"	8	0.6365	"no"	"no"	"no"	"other"	"other"
13	0	2	0	0	1	2	0	7.1	"no"	"female"	"no"	8	0.5845	"no"	"yes"	"no"	"other"	"poor"
3	0	1	0	0	0	3	1	7.2	"no"	"male"	"yes"	7	1.1441	"no"	"no"	"no"	"other"	"poor"
4	1	1	0	0	0	2	0	7	"no"	"female"	"yes"	4	1.1441	"no"	"no"	"no"	"other"	"poor"
1	0	0	0	0	0	0	0	8.5	"no"	"female"	"no"	7	0.6236	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	1	0	1	0	7.5	"no"	"female"	"no"	18	2.56	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.5	"no"	"male"	"no"	14	2.56	"no"	"no"	"no"	"other"	"other"
10	0	0	0	0	0	3	0	7.8	"no"	"male"	"yes"	9	3.6257	"no"	"yes"	"no"	"other"	"poor"
15	0	1	0	0	0	2	0	6.9	"no"	"female"	"yes"	4	3.6257	"no"	"yes"	"no"	"other"	"other"
11	0	3	0	0	0	3	0	8.1	"no"	"male"	"yes"	18	3.8304	"no"	"yes"	"no"	"other"	"other"
2	0	0	1	0	0	1	0	7.1	"no"	"female"	"yes"	15	3.8304	"no"	"yes"	"no"	"other"	"excellent"
1	0	0	0	0	0	2	0	7.5	"no"	"male"	"yes"	12	5.1276	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	2	0	7.8	"no"	"female"	"yes"	13	5.1276	"no"	"yes"	"no"	"other"	"other"
17	1	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	13	2.7518	"no"	"yes"	"no"	"other"	"other"
3	1	1	1	0	0	1	0	7	"no"	"male"	"yes"	13	3.9582	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	3.9582	"no"	"yes"	"no"	"other"	"other"
3	0	19	1	0	0	1	0	6.6	"no"	"male"	"yes"	12	1.8966	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	1	3	1	7.9	"no"	"male"	"yes"	14	2.0833	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.8	"no"	"female"	"yes"	8	2.0833	"no"	"yes"	"no"	"other"	"other"
3	0	1	5	0	1	2	0	6.8	"no"	"female"	"no"	12	1.2969	"yes"	"yes"	"no"	"other"	"other"
5	3	1	0	0	1	1	0	7.5	"no"	"female"	"no"	10	1.726	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	1	1	1	0	7.8	"no"	"female"	"no"	13	1.0492	"no"	"no"	"no"	"other"	"other"
3	1	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	8	3.2105	"yes"	"yes"	"no"	"midwest"	"excellent"
4	1	2	1	1	1	2	0	7	"no"	"female"	"yes"	8	3.2105	"no"	"yes"	"no"	"midwest"	"poor"
9	1	0	0	2	0	2	0	7.5	"no"	"male"	"yes"	12	3.6912	"no"	"yes"	"no"	"midwest"	"other"
2	2	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	8	1.695	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	12	1.695	"no"	"yes"	"no"	"midwest"	"other"
6	10	0	0	0	1	1	0	7.5	"no"	"female"	"no"	13	1.3888	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	7.8	"no"	"female"	"no"	8	0.2824	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	0	0	1	1	0	7.7	"no"	"male"	"no"	16	3.8355	"no"	"yes"	"no"	"midwest"	"other"
8	3	0	0	0	0	0	0	7.1	"no"	"female"	"no"	12	1.2414	"no"	"yes"	"no"	"midwest"	"other"
1	1	0	0	0	0	1	0	8.3	"no"	"female"	"no"	17	1.834154	"no"	"yes"	"no"	"midwest"	"other"
1	3	0	0	0	0	1	0	8	"no"	"female"	"yes"	8	1.4469	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	0	1	0	7.8	"no"	"male"	"yes"	7	1.4469	"no"	"yes"	"no"	"midwest"	"other"
3	78	0	0	0	0	2	0	7.1	"no"	"female"	"no"	12	1.5845	"no"	"yes"	"no"	"midwest"	"other"
3	5	2	0	0	0	2	0	6.7	"no"	"male"	"yes"	12	4.4772	"yes"	"yes"	"no"	"midwest"	"other"
7	7	0	0	0	0	1	1	7.7	"no"	"male"	"yes"	11	2.2973	"no"	"yes"	"no"	"midwest"	"poor"
8	1	0	0	0	0	3	0	6.8	"no"	"female"	"yes"	11	2.2973	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	1	0	0	8.3	"no"	"female"	"no"	12	1.6076	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	5	1	8.2	"no"	"female"	"no"	6	1.5468	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	12	4.4566	"yes"	"yes"	"no"	"other"	"excellent"
3	0	0	0	0	2	0	1	9.1	"no"	"male"	"no"	12	1.1736	"no"	"no"	"no"	"other"	"other"
14	1	0	0	0	0	3	0	7.7	"no"	"female"	"no"	12	0.846	"no"	"yes"	"no"	"other"	"poor"
5	0	0	0	0	0	3	0	7.3	"no"	"male"	"yes"	13	3.4512	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	15	3.4512	"no"	"yes"	"no"	"other"	"excellent"
4	1	0	0	0	0	4	0	6.7	"no"	"male"	"yes"	13	1.92	"no"	"yes"	"no"	"other"	"other"
0	3	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	14	1.92	"yes"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	3.0833	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	3.0833	"yes"	"yes"	"no"	"other"	"excellent"
4	0	2	0	2	0	2	0	7.6	"no"	"female"	"no"	14	2.7266	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	2	0	8.2	"no"	"female"	"no"	12	1.1144	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	2	0	7.3	"no"	"female"	"yes"	12	1.6826	"no"	"no"	"yes"	"other"	"other"
16	0	1	1	1	0	0	0	7.2	"no"	"male"	"yes"	9	2.0648	"no"	"yes"	"no"	"other"	"other"
9	0	2	1	0	1	1	0	6.8	"no"	"female"	"yes"	12	2.0648	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	0	0	8.9	"no"	"male"	"yes"	12	6.594	"no"	"yes"	"no"	"other"	"other"
2	3	0	0	0	0	3	0	8.2	"no"	"female"	"yes"	8	6.594	"no"	"yes"	"no"	"other"	"poor"
0	1	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	5.3185	"yes"	"yes"	"no"	"other"	"other"
30	6	4	0	0	0	2	0	7.3	"no"	"female"	"yes"	15	5.3185	"no"	"yes"	"no"	"other"	"other"
10	3	0	0	0	0	3	0	8.1	"no"	"male"	"yes"	8	1.2352	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	1	0	1	1	7.9	"no"	"female"	"yes"	12	1.2352	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	1	1	2	0	8.7	"no"	"female"	"no"	9	0.725	"no"	"yes"	"no"	"other"	"other"
2	2	0	0	0	0	2	0	7	"no"	"male"	"no"	5	0.9788	"yes"	"yes"	"no"	"other"	"other"
11	1	0	0	0	0	2	0	8.1	"no"	"male"	"yes"	11	0	"no"	"yes"	"no"	"other"	"excellent"
1	0	0	0	0	0	3	0	7.6	"no"	"female"	"yes"	15	0	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	8	0.786	"no"	"yes"	"no"	"other"	"other"
8	0	1	2	0	0	4	0	6.7	"no"	"female"	"yes"	8	0.786	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	1	3	0	8.6	"no"	"female"	"no"	14	2.58	"no"	"no"	"no"	"other"	"other"
3	0	0	0	3	3	0	0	7.2	"no"	"male"	"no"	8	1.3771	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	9	2.2381	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	9	2.2381	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	2	0	7.6	"no"	"male"	"yes"	16	2.0881	"no"	"yes"	"no"	"other"	"other"
1	1	0	1	0	0	2	0	7.5	"no"	"female"	"yes"	14	2.0881	"no"	"yes"	"no"	"other"	"other"
2	0	0	1	0	0	3	0	7.2	"no"	"male"	"yes"	10	6.1023	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.3	"no"	"male"	"no"	11	1.254	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	1	0	7.4	"yes"	"male"	"yes"	12	2.2277	"no"	"yes"	"no"	"other"	"other"
13	3	0	0	0	0	1	0	7.4	"yes"	"female"	"yes"	16	2.2277	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	1	1	3	1	8.6	"no"	"male"	"yes"	12	1.4888	"no"	"yes"	"no"	"other"	"other"
5	2	0	0	0	1	1	1	7.4	"no"	"female"	"yes"	14	1.4888	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	3.557	"no"	"yes"	"no"	"other"	"other"
9	0	34	1	0	1	2	0	6.7	"no"	"female"	"yes"	10	3.557	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.6	"yes"	"male"	"yes"	11	1.3596	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	1	0	0	6.6	"no"	"male"	"yes"	16	4.966	"yes"	"yes"	"no"	"other"	"excellent"
2	0	26	0	0	0	1	0	6.9	"no"	"female"	"no"	11	4.2394	"no"	"no"	"no"	"other"	"other"
14	0	0	0	0	2	4	1	8.4	"no"	"male"	"yes"	11	1.7852	"no"	"yes"	"no"	"other"	"other"
2	1	1	0	0	0	1	0	7.7	"no"	"male"	"yes"	8	2.4368	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	10	2.4368	"no"	"yes"	"no"	"other"	"other"
11	0	0	1	11	8	6	1	7	"no"	"male"	"yes"	12	1.1614	"no"	"yes"	"no"	"other"	"poor"
5	0	0	6	2	0	2	1	7.2	"no"	"female"	"yes"	8	1.1614	"no"	"yes"	"no"	"other"	"poor"
5	0	1	0	0	0	2	0	7.2	"no"	"female"	"no"	10	2.318041	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	1	7.1	"no"	"male"	"no"	8	1.1808	"no"	"yes"	"no"	"other"	"excellent"
2	0	0	0	0	0	1	0	6.9	"no"	"female"	"no"	12	1.4242	"no"	"yes"	"no"	"other"	"other"
0	2	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	1.0656	"no"	"yes"	"no"	"other"	"other"
15	4	0	2	0	1	2	0	7	"no"	"female"	"yes"	11	1.4949	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	2	0	7.7	"no"	"female"	"no"	8	1.91	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	4	1	8.4	"no"	"female"	"no"	11	0.312	"no"	"yes"	"no"	"other"	"poor"
24	0	1	0	1	4	4	0	7	"no"	"male"	"yes"	12	3.224	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	1	7.6	"no"	"female"	"yes"	4	1.2732	"no"	"no"	"no"	"other"	"other"
10	0	6	0	0	0	3	1	8.2	"no"	"male"	"yes"	8	1.2732	"no"	"no"	"no"	"other"	"poor"
8	1	0	0	0	1	2	0	6.7	"no"	"male"	"no"	8	0.7336	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	2	0	0	0	7.3	"no"	"female"	"no"	6	0.5488	"no"	"yes"	"no"	"other"	"other"
17	1	0	0	0	2	4	1	7.5	"no"	"female"	"no"	10	0.8712	"no"	"yes"	"no"	"other"	"other"
16	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	10	4.666	"yes"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	12	4.666	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	1	1	3	1	8.5	"no"	"male"	"no"	11	0.4368	"no"	"no"	"yes"	"other"	"poor"
12	3	0	0	2	0	0	0	7.1	"no"	"female"	"no"	10	0.7822	"yes"	"no"	"no"	"other"	"other"
8	0	0	0	1	0	3	0	7.3	"no"	"female"	"no"	15	0.7196	"no"	"yes"	"no"	"other"	"other"
13	1	1	1	1	0	4	0	7.4	"no"	"female"	"no"	9	1.1722	"yes"	"yes"	"no"	"other"	"other"
3	4	0	0	0	0	0	0	7.6	"yes"	"female"	"no"	5	0.5592	"no"	"yes"	"no"	"other"	"other"
1	4	0	0	0	0	0	0	7.8	"no"	"male"	"yes"	7	1.0323	"no"	"yes"	"no"	"other"	"other"
2	33	0	0	0	1	1	0	7.5	"no"	"female"	"yes"	11	1.0323	"no"	"yes"	"no"	"other"	"other"
1	6	0	0	0	0	1	0	7.6	"no"	"female"	"no"	13	1.1101	"no"	"yes"	"no"	"other"	"other"
18	0	0	0	0	2	2	0	7.2	"no"	"male"	"yes"	17	4.4842	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	4.4842	"no"	"yes"	"no"	"other"	"other"
4	0	2	0	0	0	2	1	7.5	"no"	"female"	"no"	8	2.2428	"no"	"yes"	"no"	"other"	"other"
16	4	0	0	1	2	4	1	7.7	"no"	"female"	"no"	10	0.4308	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	11	4.5817	"no"	"yes"	"no"	"other"	"excellent"
0	1	1	0	0	0	1	1	7.2	"no"	"female"	"yes"	16	4.5817	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	0	0	7	"no"	"male"	"yes"	12	2.4721	"yes"	"yes"	"no"	"other"	"other"
7	16	0	0	1	2	1	0	6.8	"no"	"female"	"yes"	12	2.4721	"no"	"yes"	"no"	"other"	"other"
6	2	0	0	0	0	2	0	6.7	"no"	"male"	"yes"	16	6.2	"yes"	"yes"	"no"	"other"	"excellent"
12	1	1	1	0	0	1	0	7.7	"no"	"male"	"yes"	8	0.686	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	0.686	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	1	0	2	0	7.4	"no"	"male"	"yes"	18	4.2528	"yes"	"yes"	"no"	"other"	"excellent"
6	4	5	0	1	0	3	0	7.3	"no"	"female"	"yes"	13	4.2528	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	2	1	8.4	"no"	"female"	"no"	7	0	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	5	0	6.6	"no"	"male"	"yes"	8	1.4886	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	11	1.0002	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	2	1	7.2	"no"	"female"	"yes"	11	1.0002	"no"	"no"	"no"	"other"	"other"
9	6	0	0	0	0	2	0	7.3	"no"	"female"	"no"	8	7.0629	"no"	"yes"	"no"	"other"	"poor"
10	2	1	0	1	0	2	0	7.7	"no"	"male"	"yes"	10	3.0171	"no"	"yes"	"no"	"other"	"other"
23	3	2	0	0	0	6	0	7.3	"no"	"female"	"yes"	9	3.0171	"no"	"yes"	"no"	"other"	"other"
6	1	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	13	2.2452	"no"	"no"	"no"	"other"	"other"
5	1	0	0	0	0	3	0	6.7	"no"	"female"	"yes"	12	2.2452	"no"	"no"	"no"	"other"	"other"
6	8	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	14	1.607	"yes"	"yes"	"no"	"other"	"other"
5	4	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	2.1612	"no"	"yes"	"no"	"other"	"other"
2	2	0	0	0	0	3	0	7.2	"no"	"female"	"yes"	12	6.2801	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	7.5	"no"	"male"	"yes"	11	6.2801	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	14	1.8652	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	1.8652	"no"	"yes"	"no"	"other"	"other"
6	11	0	0	0	1	1	0	7	"no"	"male"	"yes"	12	1.3306	"no"	"yes"	"no"	"other"	"excellent"
11	0	1	1	0	0	4	0	7	"no"	"male"	"yes"	13	5.7022	"no"	"yes"	"no"	"other"	"other"
4	4	1	0	0	0	2	0	6.9	"no"	"female"	"yes"	12	5.7022	"no"	"yes"	"no"	"other"	"other"
4	0	1	0	0	0	3	0	7.2	"no"	"male"	"yes"	12	1.502	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	2	0	7.3	"no"	"female"	"yes"	13	1.502	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.9	"no"	"male"	"yes"	12	1.228	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	1	0	6.6	"no"	"female"	"no"	14	1.3872	"no"	"yes"	"no"	"other"	"other"
16	2	3	1	3	1	2	0	8.4	"no"	"female"	"no"	18	0.9233	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	7.7	"no"	"female"	"yes"	8	0.752252	"no"	"yes"	"no"	"other"	"other"
8	1	0	0	1	1	1	0	8.1	"no"	"female"	"no"	12	0.7215	"no"	"yes"	"no"	"other"	"other"
2	1	0	0	0	0	2	0	7	"no"	"male"	"yes"	12	1.7977	"no"	"yes"	"no"	"other"	"other"
12	5	1	2	0	1	0	0	6.7	"no"	"female"	"yes"	12	1.7977	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	13	1.6092	"no"	"yes"	"no"	"other"	"other"
3	0	1	1	0	0	1	0	6.6	"no"	"female"	"yes"	12	1.6092	"no"	"yes"	"no"	"other"	"other"
6	1	4	0	0	0	2	0	6.7	"no"	"male"	"yes"	14	4.0464	"no"	"yes"	"no"	"other"	"other"
4	0	1	0	0	0	1	0	7.4	"no"	"male"	"yes"	12	2.8647	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	2.8647	"no"	"yes"	"no"	"other"	"other"
12	0	1	0	1	1	3	0	7.7	"no"	"male"	"yes"	13	1.9223	"no"	"yes"	"no"	"other"	"other"
1	6	0	0	0	0	0	0	7.8	"no"	"female"	"yes"	12	1.9223	"no"	"yes"	"no"	"other"	"other"
3	0	1	0	0	0	2	0	7.4	"no"	"male"	"yes"	10	2.5828	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	1.2064	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.6	"no"	"male"	"no"	14	0.8542	"no"	"yes"	"no"	"other"	"excellent"
4	0	0	0	1	1	1	0	7.7	"no"	"male"	"yes"	13	1.824	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	2	0	7.5	"no"	"female"	"yes"	13	1.824	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	0	1.49	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	0	1.49	"no"	"yes"	"no"	"other"	"other"
5	1	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	1.326	"no"	"yes"	"no"	"other"	"other"
21	4	1	0	1	0	3	0	7	"no"	"female"	"yes"	11	1.326	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	1	0	0	0	7.3	"no"	"male"	"no"	12	1.0122	"no"	"no"	"yes"	"other"	"other"
7	0	0	0	1	1	2	0	7.3	"no"	"male"	"yes"	5	1.072	"no"	"no"	"no"	"other"	"other"
10	0	0	0	0	0	1	0	7.8	"no"	"male"	"yes"	12	-1.0125	"no"	"no"	"no"	"other"	"poor"
9	2	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	14	-1.0125	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.5	"no"	"male"	"yes"	9	1.0215	"yes"	"yes"	"no"	"other"	"other"
8	1	0	1	0	2	3	0	7.8	"no"	"female"	"yes"	12	1.701	"no"	"yes"	"no"	"other"	"poor"
4	1	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	14	1.615	"no"	"yes"	"no"	"other"	"other"
9	11	1	2	1	1	2	0	6.6	"no"	"female"	"yes"	13	1.615	"yes"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	6.9	"no"	"female"	"no"	11	2.682174	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	0	0	2	1	6.7	"no"	"female"	"yes"	13	1.8108	"no"	"yes"	"no"	"other"	"poor"
4	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	16	1.361	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	12	1.361	"no"	"yes"	"no"	"other"	"other"
5	1	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	2.312	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	12	2.0636	"no"	"yes"	"no"	"other"	"other"
6	6	0	22	0	0	2	1	7.2	"no"	"female"	"yes"	15	2.0636	"no"	"yes"	"no"	"other"	"other"
3	0	1	0	1	0	2	1	7.6	"no"	"male"	"yes"	12	4.5786	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	1	3	1	7.4	"no"	"female"	"yes"	15	4.5786	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	1	0	7.8	"no"	"female"	"no"	12	0.6123	"no"	"yes"	"no"	"other"	"other"
7	1	0	0	0	0	2	1	6.9	"no"	"male"	"yes"	12	2.802	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	2	1	6.7	"no"	"female"	"yes"	12	2.802	"no"	"yes"	"no"	"other"	"other"
5	1	0	0	0	0	2	0	7.7	"no"	"male"	"yes"	14	2.7057	"no"	"yes"	"no"	"other"	"other"
11	0	0	1	0	0	2	0	7.4	"no"	"female"	"yes"	12	2.7057	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	12	0.9024	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	3	0	7.5	"no"	"female"	"no"	4	2.9276	"no"	"no"	"yes"	"other"	"other"
32	2	2	0	0	0	1	0	6.7	"no"	"male"	"yes"	8	1.8495	"no"	"yes"	"no"	"other"	"other"
14	3	2	0	0	0	0	0	7	"no"	"female"	"yes"	11	1.8495	"no"	"yes"	"no"	"other"	"other"
5	2	6	0	0	0	2	1	8.2	"no"	"male"	"no"	8	3.749	"no"	"yes"	"no"	"other"	"other"
6	0	2	0	0	1	1	0	7.6	"no"	"female"	"no"	13	0.9077	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	6	1	8.9	"no"	"female"	"no"	16	0.6	"no"	"no"	"no"	"other"	"other"
10	4	0	1	1	0	0	0	6.9	"no"	"female"	"no"	12	0.5536	"yes"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	4	1	9.4	"no"	"female"	"no"	4	0.432	"no"	"yes"	"yes"	"other"	"poor"
11	0	0	0	1	0	5	0	7.6	"no"	"female"	"no"	9	0.4248	"no"	"yes"	"yes"	"other"	"other"
1	31	2	0	1	1	2	1	7.7	"yes"	"female"	"no"	10	0.8568	"no"	"no"	"yes"	"other"	"poor"
6	0	0	0	0	0	2	0	7.4	"no"	"male"	"yes"	16	3.4442	"yes"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	14	3.4442	"yes"	"yes"	"no"	"other"	"other"
1	1	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	12	36.0024	"no"	"yes"	"no"	"other"	"other"
6	0	1	0	0	0	1	0	7.4	"no"	"male"	"yes"	8	1.3177	"no"	"yes"	"no"	"other"	"other"
4	0	1	0	1	0	2	0	6.8	"no"	"female"	"yes"	12	1.3177	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	8.9184	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	8	8.9184	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	1	0	5	0	7.2	"no"	"female"	"no"	14	0.628	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	1	0	7.3	"yes"	"female"	"no"	9	0.384	"no"	"no"	"no"	"other"	"other"
6	0	1	0	0	0	2	0	7.4	"no"	"male"	"yes"	11	3.37	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	1	0	1	7.8	"no"	"female"	"yes"	12	3.37	"no"	"yes"	"no"	"other"	"other"
5	0	11	0	1	3	1	0	7.3	"no"	"male"	"yes"	8	2.8784	"no"	"no"	"no"	"other"	"other"
6	0	1	0	0	1	1	0	8.1	"no"	"male"	"yes"	12	0.8031	"no"	"yes"	"no"	"other"	"other"
8	5	1	0	0	0	1	0	6.7	"no"	"female"	"yes"	7	0.8031	"no"	"yes"	"no"	"other"	"other"
1	1	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	14	5.4423	"no"	"yes"	"no"	"other"	"other"
4	2	0	0	0	0	3	0	6.8	"no"	"female"	"yes"	12	5.4423	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.7	"no"	"female"	"no"	10	3.5772	"yes"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	3	0	6.6	"no"	"male"	"yes"	11	2.538	"no"	"yes"	"no"	"other"	"other"
9	0	1	0	0	0	2	0	7.6	"no"	"female"	"no"	9	0.444	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	3	0	8	"no"	"male"	"yes"	8	1.3864	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	10	1.3864	"no"	"yes"	"no"	"other"	"excellent"
6	2	0	0	0	0	1	0	7.1	"no"	"female"	"no"	12	1.1509	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	9	"no"	"male"	"no"	0	4.1586	"no"	"yes"	"no"	"other"	"other"
9	25	0	0	1	1	5	1	6.6	"no"	"male"	"yes"	12	2.5243	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	2	0	6.6	"no"	"female"	"yes"	12	2.5243	"no"	"yes"	"no"	"other"	"other"
21	0	2	2	0	0	2	1	8.2	"no"	"female"	"no"	12	2.2177	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	2	0	6.6	"no"	"female"	"no"	12	0.672	"no"	"no"	"no"	"west"	"other"
10	1	0	0	0	0	0	0	6.8	"no"	"female"	"no"	14	1.1134	"no"	"yes"	"no"	"west"	"other"
14	5	1	3	1	1	5	1	9	"yes"	"female"	"no"	14	0.645	"no"	"no"	"yes"	"west"	"other"
4	0	2	0	0	0	3	1	7.4	"no"	"female"	"no"	14	1.0311	"no"	"yes"	"no"	"west"	"poor"
13	1	3	0	2	0	1	1	8.1	"no"	"female"	"no"	12	1.369891	"no"	"yes"	"no"	"west"	"other"
2	1	0	2	0	0	0	0	7.5	"no"	"male"	"yes"	9	2.8891	"no"	"yes"	"no"	"west"	"other"
6	1	0	2	0	0	1	0	7.4	"no"	"female"	"yes"	15	2.8891	"no"	"yes"	"no"	"west"	"other"
8	2	0	0	0	0	2	1	6.6	"no"	"female"	"no"	9	0.618	"no"	"yes"	"yes"	"west"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	8	2.002	"yes"	"yes"	"no"	"west"	"excellent"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	18	14.387	"yes"	"yes"	"no"	"west"	"other"
6	1	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	16	6.39	"yes"	"yes"	"no"	"west"	"other"
5	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	14	6.39	"no"	"yes"	"no"	"west"	"other"
1	0	7	3	2	0	0	0	6.7	"no"	"female"	"no"	12	2.0868	"yes"	"yes"	"no"	"west"	"excellent"
13	6	0	0	0	1	2	0	6.8	"no"	"male"	"yes"	14	2.6053	"yes"	"yes"	"no"	"west"	"other"
3	9	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	2.6053	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	3	0	7.2	"no"	"male"	"yes"	9	1.9205	"no"	"no"	"no"	"west"	"other"
4	0	1	1	0	0	2	0	7.5	"no"	"female"	"yes"	10	1.9205	"no"	"yes"	"no"	"west"	"other"
11	5	0	0	0	0	1	0	7.9	"no"	"female"	"no"	6	0.657	"no"	"no"	"yes"	"west"	"excellent"
4	0	0	0	1	0	3	0	8	"no"	"male"	"yes"	4	1.8	"no"	"no"	"yes"	"west"	"other"
9	0	0	0	0	0	5	1	7.7	"no"	"female"	"yes"	4	1.8	"no"	"no"	"yes"	"west"	"other"
0	0	0	0	1	1	3	1	6.7	"no"	"male"	"yes"	3	4.122	"no"	"no"	"yes"	"west"	"other"
3	0	0	0	0	0	3	1	8	"no"	"male"	"yes"	8	1.8485	"no"	"yes"	"no"	"west"	"poor"
3	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	8	1.8485	"no"	"yes"	"no"	"west"	"other"
5	4	1	0	1	0	1	0	8.1	"no"	"female"	"no"	12	0.5076	"no"	"yes"	"no"	"west"	"other"
3	9	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	12	3.891	"yes"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	3.891	"yes"	"yes"	"no"	"west"	"other"
20	0	0	1	2	1	2	0	6.6	"yes"	"male"	"no"	3	0.7152	"no"	"no"	"yes"	"west"	"other"
0	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	2.4176	"yes"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	0	1	7.6	"no"	"female"	"yes"	10	3.796214	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	6	7.1448	"no"	"yes"	"no"	"west"	"other"
5	0	2	0	1	0	0	0	6.7	"no"	"female"	"yes"	6	7.1448	"no"	"no"	"no"	"west"	"poor"
13	2	17	0	12	3	2	1	8.6	"no"	"female"	"no"	3	4.1865	"no"	"yes"	"no"	"west"	"poor"
1	0	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	6	18.2794	"yes"	"yes"	"no"	"west"	"excellent"
1	0	0	0	0	0	1	0	7.7	"no"	"female"	"yes"	12	18.2794	"no"	"yes"	"no"	"west"	"other"
0	0	3	0	0	0	0	0	8.1	"no"	"female"	"no"	12	0.46	"no"	"yes"	"no"	"west"	"other"
0	0	13	0	0	0	2	1	8.5	"yes"	"male"	"yes"	14	1.5077	"no"	"yes"	"no"	"midwest"	"poor"
2	0	3	0	0	0	1	0	7.3	"yes"	"female"	"yes"	8	1.5077	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	1	7.9	"yes"	"female"	"no"	4	0.414	"no"	"no"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	0	0	6.9	"yes"	"male"	"yes"	15	2.09	"no"	"yes"	"no"	"midwest"	"other"
16	0	6	2	0	0	1	0	6.9	"no"	"male"	"yes"	12	3.4583	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.3	"no"	"female"	"no"	11	0.7572	"no"	"yes"	"no"	"midwest"	"other"
24	0	1	1	0	0	1	0	8.5	"no"	"male"	"yes"	8	5.0719	"no"	"yes"	"no"	"midwest"	"other"
21	0	2	2	0	1	4	0	7.2	"no"	"female"	"yes"	12	5.0719	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	0	1	0	8.1	"no"	"male"	"yes"	10	1.464	"no"	"yes"	"no"	"midwest"	"other"
6	1	0	0	0	0	1	0	7.7	"no"	"female"	"yes"	10	1.464	"no"	"yes"	"no"	"midwest"	"other"
0	0	2	0	0	0	0	0	6.9	"no"	"female"	"no"	12	1.414	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	16	3.5867	"yes"	"yes"	"no"	"midwest"	"other"
7	0	0	1	0	0	2	0	6.7	"no"	"female"	"yes"	14	3.5867	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	2	0	8	"no"	"male"	"yes"	12	0.6876	"no"	"no"	"yes"	"midwest"	"other"
7	0	0	0	0	0	3	1	7.9	"no"	"female"	"yes"	11	0.6876	"no"	"no"	"yes"	"midwest"	"other"
34	1	1	0	0	0	2	0	7	"no"	"female"	"no"	12	1.4808	"no"	"yes"	"no"	"midwest"	"other"
7	4	2	0	0	0	3	0	8	"no"	"female"	"no"	16	4.0369	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7.9	"no"	"female"	"no"	8	0.99	"no"	"yes"	"no"	"midwest"	"other"
37	5	2	1	1	1	3	1	7.4	"no"	"female"	"no"	12	1.0164	"no"	"yes"	"no"	"midwest"	"poor"
1	0	0	0	0	0	1	1	8.3	"no"	"male"	"no"	9	0.864	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	12	0.5972	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	12	3.865971	"yes"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	1	0	1	7	"no"	"female"	"yes"	16	3.865971	"no"	"yes"	"no"	"midwest"	"poor"
6	11	5	0	1	0	3	0	8.3	"no"	"male"	"yes"	8	1.062	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	1	0	0	1	0	6.8	"no"	"female"	"no"	12	2.7051	"yes"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	6.8	"no"	"male"	"yes"	13	1.7875	"no"	"yes"	"no"	"midwest"	"other"
22	3	1	2	2	2	3	0	8	"no"	"female"	"yes"	12	10.0736	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	5	0	1	3	0	6.8	"no"	"male"	"yes"	12	3.066	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	1	0	0	1	0	7.1	"no"	"female"	"yes"	8	3.066	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	1	0	0	3	0	6.8	"no"	"male"	"yes"	12	2.3176	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	12	4.8608	"no"	"no"	"no"	"noreast"	"other"
35	0	1	2	0	0	2	0	7.5	"no"	"male"	"yes"	10	4.8608	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	2.3016	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	0	0	1	0	0	6.9	"no"	"female"	"yes"	12	2.3016	"no"	"yes"	"no"	"noreast"	"other"
7	11	0	0	0	0	2	1	7	"no"	"female"	"no"	12	0	"no"	"yes"	"no"	"noreast"	"other"
9	0	1	0	0	0	3	0	6.7	"yes"	"female"	"no"	12	0.4764	"no"	"yes"	"no"	"noreast"	"other"
6	1	1	1	0	0	1	0	7.1	"no"	"male"	"yes"	16	3.5706	"no"	"yes"	"no"	"noreast"	"poor"
10	0	0	0	1	0	1	0	6.9	"no"	"male"	"no"	16	2.9343	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	1	1	0	0	6.9	"no"	"male"	"yes"	16	1.7298	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	1.7298	"no"	"yes"	"no"	"noreast"	"other"
7	4	1	3	0	1	1	0	6.9	"no"	"male"	"yes"	12	3.1794	"no"	"yes"	"no"	"noreast"	"poor"
0	2	1	2	0	0	1	0	6.7	"no"	"female"	"yes"	12	3.1794	"no"	"yes"	"no"	"noreast"	"other"
4	4	0	3	0	0	2	0	7.3	"no"	"female"	"no"	10	2.908	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	3	0.4201	"no"	"yes"	"no"	"noreast"	"excellent"
0	0	0	0	0	1	2	1	8.5	"no"	"female"	"no"	10	0.7176	"no"	"no"	"yes"	"noreast"	"poor"
8	0	0	0	0	0	2	0	7.2	"no"	"male"	"yes"	7	2.477	"yes"	"yes"	"no"	"noreast"	"other"
7	5	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	2.477	"no"	"yes"	"no"	"noreast"	"poor"
3	0	0	0	0	0	4	0	6.9	"no"	"male"	"yes"	8	1.1472	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	3	0	6.6	"no"	"female"	"yes"	14	1.1472	"no"	"yes"	"no"	"noreast"	"poor"
11	0	0	0	0	0	0	0	7.5	"no"	"male"	"no"	9	2.8	"yes"	"yes"	"no"	"noreast"	"other"
42	0	0	0	0	0	1	1	7.3	"yes"	"female"	"no"	5	0.45	"no"	"no"	"yes"	"noreast"	"poor"
1	0	3	0	0	0	2	0	7.3	"yes"	"female"	"no"	6	0.4957	"no"	"no"	"yes"	"noreast"	"other"
1	0	7	0	0	0	0	0	7.6	"yes"	"female"	"no"	9	0.5076	"no"	"no"	"no"	"noreast"	"other"
11	0	1	0	0	0	1	0	7.2	"yes"	"male"	"no"	12	0.8136	"no"	"no"	"no"	"noreast"	"poor"
5	8	0	0	0	0	3	0	7.7	"yes"	"female"	"no"	10	0.5329	"no"	"no"	"yes"	"noreast"	"other"
22	0	0	0	0	0	0	1	7.4	"no"	"female"	"no"	10	0.8112	"yes"	"yes"	"no"	"noreast"	"other"
20	0	2	3	0	1	3	0	7.8	"no"	"female"	"no"	16	1.5955	"no"	"yes"	"no"	"noreast"	"other"
12	0	0	0	0	0	1	1	7.9	"no"	"female"	"no"	8	0.4728	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	1	6.8	"no"	"female"	"no"	15	0.18	"no"	"no"	"no"	"west"	"other"
1	12	1	0	0	0	2	0	7.6	"no"	"female"	"no"	11	0.5172	"no"	"no"	"yes"	"west"	"other"
1	0	7	0	1	2	1	0	7.7	"no"	"female"	"no"	12	0.5172	"no"	"yes"	"no"	"west"	"poor"
0	0	0	0	0	0	2	0	6.8	"no"	"female"	"no"	14	0.5381	"no"	"yes"	"no"	"west"	"other"
53	0	1	0	1	2	4	0	7.8	"no"	"male"	"no"	12	2.1253	"yes"	"yes"	"no"	"west"	"other"
13	0	0	0	0	0	0	0	8.4	"no"	"male"	"no"	12	0.812	"no"	"no"	"no"	"west"	"other"
3	7	0	0	0	0	1	0	6.7	"no"	"female"	"no"	16	0.5377	"no"	"yes"	"no"	"west"	"other"
0	0	1	0	0	0	1	0	8.7	"no"	"male"	"yes"	12	1.5432	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	1	0	7.8	"no"	"female"	"yes"	12	1.5432	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	15	4.1188	"no"	"yes"	"no"	"west"	"excellent"
12	1	1	3	0	0	2	0	7.1	"no"	"female"	"yes"	12	4.1188	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"male"	"no"	16	1.2665	"no"	"yes"	"no"	"west"	"other"
0	3	1	0	0	0	0	0	6.6	"no"	"male"	"yes"	13	3.824	"no"	"yes"	"no"	"west"	"excellent"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	17	3.824	"no"	"yes"	"no"	"west"	"excellent"
3	5	0	0	0	1	1	0	6.6	"no"	"male"	"yes"	17	7.8025	"yes"	"yes"	"no"	"west"	"other"
20	2	0	0	1	1	4	1	8.4	"no"	"female"	"no"	12	0.6372	"no"	"yes"	"no"	"west"	"other"
49	32	0	0	1	2	1	0	6.8	"no"	"female"	"no"	12	1.2348	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	7.4	"no"	"female"	"no"	13	0.9058	"no"	"yes"	"no"	"west"	"other"
9	9	0	0	0	0	1	1	7.5	"no"	"male"	"no"	17	6.955	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	0	0	0	1	7.8	"no"	"male"	"no"	8	0.392	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	16	6.5999	"no"	"no"	"no"	"west"	"excellent"
8	0	0	0	0	0	3	0	6.7	"no"	"male"	"yes"	16	6.5999	"yes"	"no"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	8	2.0948	"no"	"yes"	"no"	"west"	"other"
6	0	3	0	0	0	1	0	7.2	"no"	"female"	"yes"	12	2.134962	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	12	2.0612	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	0	1	0	0	6.7	"no"	"male"	"yes"	15	5.1117	"yes"	"yes"	"no"	"west"	"excellent"
5	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	10	2.278	"no"	"no"	"no"	"midwest"	"other"
26	0	36	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	1.9856	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.8	"no"	"female"	"no"	12	2.304	"no"	"yes"	"no"	"midwest"	"excellent"
5	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	12	2.304	"no"	"yes"	"no"	"midwest"	"excellent"
3	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	1.2388	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	1.2388	"no"	"yes"	"no"	"midwest"	"excellent"
12	0	3	0	0	0	5	0	6.6	"no"	"male"	"yes"	12	4.6878	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	2	0	6.9	"no"	"female"	"yes"	12	4.6878	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	0	2.5268	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	4	0	6.7	"no"	"female"	"yes"	10	4.1027	"yes"	"yes"	"no"	"midwest"	"poor"
6	0	1	0	1	0	1	0	6.9	"no"	"female"	"no"	10	3.1064	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.9	"no"	"male"	"no"	0	8.254	"no"	"yes"	"no"	"midwest"	"excellent"
1	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	10	1.8116	"yes"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	7.9	"no"	"male"	"no"	8	2.1775	"no"	"yes"	"no"	"midwest"	"excellent"
5	0	1	0	0	1	3	0	7.7	"no"	"male"	"yes"	12	12.6268	"no"	"yes"	"no"	"midwest"	"other"
5	0	1	1	0	0	0	0	7.5	"no"	"female"	"yes"	10	3.0252	"no"	"yes"	"no"	"midwest"	"other"
7	3	0	1	0	0	2	1	8.5	"no"	"male"	"yes"	11	1.878	"no"	"yes"	"no"	"midwest"	"other"
5	2	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	8	1.878	"no"	"yes"	"no"	"midwest"	"other"
18	0	0	0	0	0	3	0	7.1	"no"	"male"	"yes"	4	0.6588	"no"	"no"	"yes"	"midwest"	"poor"
7	0	0	1	0	0	1	0	7.9	"no"	"male"	"yes"	12	5.4166	"no"	"yes"	"no"	"midwest"	"excellent"
8	0	0	1	0	0	1	0	7.5	"no"	"female"	"yes"	13	5.4166	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	0	0	0	6.7	"no"	"male"	"yes"	11	2.4612	"no"	"yes"	"no"	"midwest"	"other"
17	2	0	0	0	0	2	0	8	"no"	"female"	"no"	14	0.3724	"no"	"yes"	"no"	"midwest"	"other"
5	8	0	0	0	1	1	0	7.8	"no"	"male"	"yes"	17	2.5834	"no"	"yes"	"no"	"midwest"	"other"
3	6	1	0	0	0	1	0	7.8	"no"	"female"	"yes"	10	2.5834	"no"	"no"	"no"	"midwest"	"other"
5	4	0	1	0	0	0	0	7.2	"no"	"female"	"no"	12	1.1596	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	7	1.7028	"no"	"yes"	"no"	"midwest"	"other"
2	0	1	0	0	1	3	1	8	"no"	"male"	"yes"	4	1.7028	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"no"	5	1.7028	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	8.2	"no"	"female"	"no"	12	1.98	"no"	"yes"	"no"	"midwest"	"other"
9	11	0	0	1	0	3	0	7.9	"no"	"female"	"yes"	8	4.7562	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	0	1	1	7.8	"no"	"male"	"no"	11	0.5988	"no"	"no"	"no"	"midwest"	"other"
2	0	1	0	0	0	2	0	7.7	"no"	"male"	"yes"	12	1.0608	"no"	"yes"	"no"	"midwest"	"poor"
6	0	2	0	0	0	1	0	7	"no"	"female"	"yes"	12	1.0608	"no"	"yes"	"no"	"midwest"	"other"
27	0	1	3	0	0	0	0	8.2	"no"	"male"	"no"	12	1.1988	"no"	"yes"	"no"	"midwest"	"poor"
7	0	0	1	1	0	1	0	6.7	"no"	"female"	"yes"	12	1.7044	"no"	"yes"	"no"	"midwest"	"other"
6	7	1	0	0	0	0	0	7.7	"no"	"female"	"no"	8	0.7039	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	2	1	1	1	0	7.2	"no"	"male"	"yes"	10	2.8088	"no"	"yes"	"no"	"midwest"	"other"
9	0	2	7	0	1	3	0	6.6	"no"	"male"	"yes"	12	2.6486	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	2	0	8.8	"no"	"female"	"no"	8	2.6486	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	1	0	0	6.7	"no"	"male"	"yes"	12	1.6752	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	10	3.9271	"no"	"no"	"no"	"midwest"	"other"
7	0	0	0	0	0	5	1	9	"no"	"male"	"no"	8	0.9705	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	1	9.2	"no"	"male"	"yes"	13	1.8574	"no"	"no"	"no"	"midwest"	"excellent"
2	0	0	0	1	1	3	1	7.7	"no"	"male"	"yes"	12	4.277997	"no"	"yes"	"no"	"midwest"	"poor"
1	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	10	4.277997	"no"	"yes"	"no"	"midwest"	"other"
5	2	1	0	0	1	1	0	6.8	"no"	"male"	"yes"	12	3.9576	"yes"	"yes"	"no"	"midwest"	"other"
0	11	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	6.9922	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	2	0	6.7	"no"	"male"	"yes"	8	3.6294	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	10	1.4269	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.9	"no"	"male"	"yes"	6	3.6688	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	6.9	"no"	"female"	"yes"	8	3.6688	"no"	"yes"	"no"	"midwest"	"excellent"
8	12	3	0	0	4	1	0	7.5	"no"	"male"	"yes"	12	1.9875	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	8	1.9875	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	8	"no"	"male"	"no"	7	1.5284	"no"	"yes"	"no"	"midwest"	"excellent"
5	2	0	0	0	0	1	0	7.7	"no"	"male"	"no"	12	2.7383	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	1	0	1	1	0	8.4	"no"	"female"	"no"	12	0.6272	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	1	1	7.2	"no"	"female"	"no"	9	6.2736	"no"	"yes"	"no"	"midwest"	"other"
5	25	0	0	0	0	2	1	8.3	"no"	"female"	"no"	8	2.7592	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	12	2.6808	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	2.6808	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	1	0	1	7.8	"no"	"female"	"no"	8	1.5392	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	1	0	0	1	0	6.9	"no"	"female"	"no"	10	0.8727	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.5	"no"	"male"	"yes"	8	2.0904	"no"	"yes"	"no"	"midwest"	"other"
4	3	0	1	0	0	1	0	7.2	"no"	"female"	"yes"	8	2.0904	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	1	9.2	"no"	"female"	"no"	6	2.0904	"no"	"no"	"no"	"midwest"	"other"
5	1	0	0	0	1	2	1	8.1	"no"	"male"	"yes"	12	3.1886	"no"	"yes"	"no"	"midwest"	"excellent"
5	4	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	12	3.1886	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	0	1	0	8	"no"	"male"	"yes"	7	1.1952	"no"	"no"	"no"	"midwest"	"other"
4	1	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	5	1.1952	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	8.2	"no"	"male"	"yes"	7	1.6536	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	1	0	0	2	0	7.5	"no"	"female"	"yes"	7	1.6536	"no"	"yes"	"no"	"midwest"	"other"
4	0	2	0	0	0	1	1	7.8	"no"	"female"	"no"	12	1.5296	"no"	"yes"	"no"	"midwest"	"other"
8	2	1	0	0	0	0	0	7.7	"no"	"female"	"no"	8	0.666	"no"	"yes"	"no"	"midwest"	"other"
5	7	0	1	3	3	3	0	7.2	"no"	"male"	"yes"	8	1.68	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	8	1.68	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	1	0	0	1	1	7.4	"no"	"female"	"no"	0	0.5388	"no"	"no"	"yes"	"midwest"	"other"
8	2	1	0	1	2	3	0	7.7	"no"	"female"	"no"	12	1.0959	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	1	1	0	1	0	7.1	"yes"	"female"	"no"	12	0.6749	"no"	"no"	"no"	"midwest"	"other"
5	0	16	0	0	1	4	1	7.8	"no"	"female"	"no"	8	0.5076	"no"	"no"	"no"	"midwest"	"poor"
2	2	0	0	0	0	2	1	7.9	"no"	"male"	"yes"	4	0.9498	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	1	1	7.7	"no"	"female"	"yes"	8	0.9498	"no"	"no"	"no"	"other"	"poor"
2	0	0	1	0	0	2	0	6.6	"no"	"male"	"no"	8	1.196044	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	2	1	8.5	"yes"	"male"	"no"	5	1.5256	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	2	0	6.6	"yes"	"male"	"no"	5	1.5256	"yes"	"no"	"no"	"other"	"other"
3	1	0	0	1	0	1	0	7.1	"no"	"female"	"no"	12	0.45	"no"	"yes"	"yes"	"other"	"other"
2	1	0	0	0	0	3	0	7.3	"no"	"female"	"no"	12	1.352	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	8.5	"no"	"male"	"no"	7	0.8196	"no"	"yes"	"no"	"other"	"other"
15	0	1	0	0	0	3	1	8.8	"yes"	"female"	"no"	4	0.4356	"no"	"no"	"yes"	"other"	"poor"
13	0	0	0	1	1	2	1	8.3	"no"	"female"	"no"	10	0.6876	"no"	"yes"	"no"	"other"	"poor"
23	0	0	1	1	0	1	0	6.6	"yes"	"male"	"yes"	2	1.4298	"no"	"no"	"no"	"other"	"other"
0	0	0	0	1	0	1	1	7.3	"yes"	"male"	"no"	3	0.6214	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	0	0	0	6.7	"yes"	"female"	"yes"	6	2.3868	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.4	"yes"	"male"	"no"	12	0.702	"yes"	"no"	"no"	"other"	"other"
2	0	0	0	1	1	2	1	10.2	"yes"	"female"	"no"	0	1.2348	"no"	"no"	"no"	"other"	"poor"
1	2	0	0	0	0	1	0	7.1	"yes"	"male"	"no"	6	2.4804	"yes"	"yes"	"no"	"other"	"other"
10	0	0	1	0	0	2	0	7.5	"no"	"male"	"yes"	8	0.9456	"yes"	"yes"	"no"	"other"	"other"
9	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	7	0.9456	"no"	"yes"	"no"	"other"	"other"
2	0	1	0	0	0	0	0	6.9	"no"	"male"	"yes"	3	1.4504	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	0	1	0	8.3	"no"	"female"	"no"	10	2.0686	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	1	1	4	1	7.9	"no"	"male"	"yes"	8	2.2962	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	2.2962	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	1	0	7.7	"yes"	"male"	"yes"	4	2.2062	"yes"	"no"	"no"	"other"	"other"
9	0	2	1	3	2	2	1	7.3	"yes"	"male"	"no"	4	0.9912	"no"	"yes"	"no"	"other"	"poor"
3	2	0	0	0	0	1	0	7.3	"yes"	"male"	"no"	1	0.51	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	1	0	7.6	"yes"	"male"	"no"	6	1.0598	"no"	"yes"	"no"	"other"	"other"
8	0	1	0	0	0	0	0	7	"no"	"female"	"no"	12	2.4438	"no"	"yes"	"no"	"other"	"other"
12	1	0	0	1	0	0	0	7.8	"no"	"female"	"no"	12	2.4438	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	3	1	8.9	"no"	"female"	"no"	12	1.5771	"no"	"no"	"no"	"other"	"other"
11	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	18	7.6563	"no"	"yes"	"no"	"other"	"other"
5	1	0	0	0	0	2	0	7.5	"no"	"female"	"yes"	17	7.6563	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.7	"no"	"female"	"no"	9	6.9649	"no"	"no"	"no"	"other"	"other"
3	1	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	1.256	"yes"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	13	0.72	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	0	0	4	0	8.1	"yes"	"female"	"no"	7	0.6201	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	8.1	"yes"	"female"	"no"	7	0.4296	"no"	"no"	"no"	"other"	"other"
9	0	0	0	0	0	3	0	8.5	"yes"	"female"	"no"	8	0.4152	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	2	0	7.6	"yes"	"male"	"no"	8	2.3656	"no"	"no"	"no"	"other"	"other"
0	1	0	0	0	0	0	0	7.2	"yes"	"female"	"no"	10	0.4416	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	1	1	1	0	7.2	"no"	"male"	"yes"	18	2.9905	"yes"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	2	0	6.9	"no"	"female"	"yes"	12	2.9905	"no"	"yes"	"no"	"other"	"other"
39	0	0	0	0	0	1	1	7	"no"	"male"	"yes"	14	3.0368	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.8	"yes"	"male"	"no"	8	0.3744	"no"	"no"	"no"	"other"	"excellent"
17	0	0	0	0	0	1	0	7	"yes"	"female"	"no"	6	0.384	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	1	0	6.7	"yes"	"female"	"no"	8	2.2008	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.8	"yes"	"female"	"no"	15	1.7197	"no"	"yes"	"no"	"other"	"other"
23	0	1	0	0	0	3	1	8.1	"yes"	"female"	"no"	8	0.2232	"no"	"no"	"no"	"other"	"poor"
3	0	0	0	0	0	3	0	6.7	"yes"	"female"	"no"	2	3.1248	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	3	0	7.1	"no"	"male"	"yes"	12	1.4832	"no"	"no"	"no"	"other"	"other"
0	1	0	0	0	0	2	1	6.6	"no"	"female"	"yes"	12	1.4832	"no"	"no"	"no"	"other"	"poor"
0	0	0	1	0	0	1	0	7.7	"yes"	"female"	"no"	2	2.1276	"no"	"no"	"yes"	"other"	"other"
7	1	2	2	0	1	2	0	7.9	"no"	"male"	"no"	17	8.9294	"no"	"yes"	"no"	"other"	"other"
4	0	0	1	0	0	0	0	6.7	"no"	"male"	"yes"	16	3.5962	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	1	3	4	1	8.9	"no"	"female"	"no"	12	9.0784	"no"	"yes"	"no"	"other"	"poor"
5	0	0	0	0	0	3	0	7.3	"no"	"male"	"no"	16	7.7887	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	1	8.4	"no"	"female"	"no"	9	1.13	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	2	0	7.8	"no"	"female"	"no"	13	0.7296	"no"	"yes"	"no"	"other"	"other"
0	3	3	0	0	0	0	0	6.9	"no"	"male"	"yes"	12	3.1888	"no"	"no"	"no"	"other"	"other"
0	0	4	1	0	0	0	0	6.6	"no"	"female"	"yes"	12	3.1888	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	12	1.2153	"no"	"yes"	"no"	"other"	"other"
9	1	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	10	1.2153	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	4	2.4662	"no"	"yes"	"no"	"other"	"other"
2	0	1	6	0	1	2	1	8.4	"no"	"female"	"no"	6	1.2412	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	9	3.8029	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	2	1	2	1	8.8	"no"	"female"	"no"	8	0.33	"no"	"yes"	"no"	"other"	"poor"
6	0	0	1	0	0	3	1	7.4	"no"	"male"	"yes"	12	1.4052	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	3	1	7.7	"no"	"female"	"yes"	8	1.4052	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	1	1	4	1	8.5	"no"	"male"	"yes"	8	0.9444	"no"	"no"	"no"	"other"	"other"
11	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	10	0.9444	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	9	1.713	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	8.3	"yes"	"male"	"yes"	6	1.00353	"no"	"yes"	"no"	"other"	"other"
17	0	0	0	0	0	0	0	7.2	"yes"	"male"	"no"	15	1.5012	"no"	"yes"	"no"	"other"	"other"
14	0	1	0	3	2	4	0	7.9	"yes"	"male"	"yes"	7	2.104	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	1	0	1	0	8	"yes"	"female"	"yes"	10	2.104	"yes"	"yes"	"no"	"other"	"other"
17	28	0	0	1	3	4	0	8	"no"	"female"	"no"	16	2.04	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	16	2.274	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	17	2.274	"no"	"yes"	"no"	"other"	"other"
16	0	0	0	0	0	3	1	8.4	"no"	"male"	"yes"	9	5.9631	"no"	"yes"	"no"	"other"	"other"
4	2	0	0	0	0	0	0	7.9	"no"	"female"	"yes"	12	5.9631	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.9	"no"	"female"	"no"	15	0.8652	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	3	0	8.9	"no"	"female"	"no"	12	2.0968	"no"	"no"	"no"	"other"	"other"
2	1	0	0	0	0	0	0	6.7	"no"	"female"	"no"	13	2.7956	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	1	0	2	0	7.5	"no"	"male"	"yes"	9	1.1234	"no"	"yes"	"no"	"other"	"other"
3	1	1	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	1.1234	"no"	"yes"	"no"	"other"	"poor"
5	0	0	0	0	0	1	0	8.2	"no"	"male"	"yes"	10	1.9957	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	8.2	"no"	"female"	"yes"	14	1.9957	"no"	"yes"	"no"	"other"	"other"
0	0	10	0	1	0	1	1	8.6	"no"	"female"	"no"	7	0.5512	"no"	"yes"	"no"	"other"	"poor"
42	0	1	0	0	0	4	0	7.3	"yes"	"female"	"no"	8	0.7448	"yes"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	1	0	7	"yes"	"male"	"no"	6	5.9676	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	0	0	0	1	7.2	"yes"	"female"	"no"	13	1.2206	"no"	"no"	"no"	"other"	"other"
3	2	0	0	0	0	1	0	8.6	"yes"	"female"	"no"	10	0.4646	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	2	0	8.5	"yes"	"male"	"no"	2	0.4646	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	6.6	"no"	"female"	"no"	12	0.9176	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	1	1	5	1	8.9	"no"	"female"	"no"	12	2.474	"no"	"no"	"no"	"other"	"poor"
1	0	0	0	0	0	1	0	6.6	"yes"	"female"	"no"	8	0.4284	"no"	"no"	"yes"	"other"	"other"
26	0	0	0	4	1	5	0	7.4	"no"	"female"	"no"	12	0.4308	"no"	"yes"	"no"	"other"	"poor"
25	0	0	0	4	2	4	0	7.8	"no"	"male"	"no"	4	0.6529	"no"	"yes"	"no"	"other"	"poor"
10	0	0	0	1	3	0	0	7	"no"	"male"	"yes"	3	0.5868	"no"	"yes"	"yes"	"other"	"other"
7	0	0	0	0	3	5	1	6.7	"no"	"female"	"yes"	8	0.5868	"no"	"yes"	"yes"	"other"	"poor"
1	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	5	1.3947	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	5	1.3947	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	1	2	0	6.7	"no"	"male"	"yes"	12	5.1961	"no"	"yes"	"no"	"other"	"other"
1	0	8	0	0	1	1	0	7.4	"no"	"male"	"yes"	12	3.5544	"yes"	"no"	"no"	"other"	"other"
9	0	1	0	0	0	2	0	7.4	"no"	"female"	"yes"	6	3.5544	"yes"	"yes"	"no"	"other"	"poor"
15	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	1.4823	"no"	"yes"	"no"	"other"	"other"
19	2	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	7	1.9596	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	2	0	6.8	"yes"	"female"	"no"	8	0.66	"no"	"no"	"yes"	"other"	"other"
10	6	4	0	1	0	1	0	7	"yes"	"female"	"no"	7	0.4263	"no"	"no"	"no"	"other"	"other"
4	0	1	1	0	0	1	0	7.7	"no"	"male"	"yes"	8	5.3232	"no"	"no"	"no"	"other"	"other"
4	0	0	1	1	0	1	0	6.7	"no"	"female"	"yes"	7	5.3232	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	2	2	2	1	8.2	"yes"	"female"	"no"	4	1.591765	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	5	0	6.6	"yes"	"female"	"no"	2	1.4184	"no"	"no"	"no"	"other"	"other"
8	2	1	1	3	4	1	1	8.2	"no"	"female"	"no"	12	5.7125	"no"	"yes"	"no"	"other"	"other"
19	0	1	3	0	1	4	1	6.9	"no"	"female"	"no"	12	0.8926	"no"	"no"	"no"	"other"	"poor"
7	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	12	1.833	"yes"	"yes"	"no"	"other"	"other"
10	0	0	1	0	0	2	1	8.3	"yes"	"female"	"no"	5	0.4175	"no"	"no"	"yes"	"other"	"poor"
1	0	0	1	0	0	1	1	8.8	"yes"	"male"	"yes"	2	0.7332	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	0	0	4	1	8.5	"yes"	"female"	"yes"	3	0.7332	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	0	1	2	0	8.2	"yes"	"male"	"no"	4	0.348	"no"	"no"	"no"	"other"	"excellent"
2	0	0	0	0	0	0	0	7.9	"yes"	"male"	"yes"	3	0.6504	"no"	"no"	"yes"	"other"	"other"
6	0	21	11	1	2	2	0	6.9	"yes"	"female"	"yes"	3	0.6504	"no"	"no"	"yes"	"other"	"other"
9	0	0	0	0	0	0	0	8.4	"yes"	"female"	"no"	9	0.4368	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	7.1	"yes"	"female"	"no"	12	1.0253	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	6.6	"yes"	"female"	"no"	12	1.0253	"yes"	"yes"	"no"	"other"	"poor"
17	0	0	0	0	0	3	0	6.8	"no"	"female"	"no"	5	0.4249	"no"	"no"	"yes"	"other"	"poor"
0	0	0	0	0	0	0	0	6.8	"yes"	"male"	"no"	0	2.19	"no"	"no"	"no"	"other"	"other"
10	0	0	0	1	0	3	1	8	"yes"	"female"	"no"	4	0.4296	"no"	"no"	"yes"	"other"	"other"
16	0	0	0	0	1	5	0	8.6	"no"	"female"	"no"	14	7.908	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	1	1	1	7	"no"	"female"	"no"	12	0.6166	"no"	"yes"	"no"	"other"	"other"
12	0	1	0	0	5	5	0	7.6	"no"	"female"	"no"	9	1.0116	"no"	"yes"	"no"	"other"	"poor"
6	4	1	0	0	1	1	1	7.7	"no"	"male"	"yes"	8	1.8016	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	3	1.8016	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	3	0	7.2	"yes"	"male"	"no"	11	0.4368	"no"	"no"	"no"	"other"	"other"
3	0	1	2	0	0	2	0	7.5	"no"	"female"	"no"	6	0.6276	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	1	1	3	1	8.2	"no"	"female"	"no"	7	0.816	"no"	"no"	"no"	"other"	"poor"
5	0	1	0	0	0	2	0	6.6	"no"	"female"	"yes"	11	4.3891	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	8.6	"no"	"female"	"no"	6	0.294	"no"	"no"	"no"	"other"	"other"
10	0	1	0	2	2	1	0	7.5	"yes"	"male"	"yes"	8	0.5976	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"yes"	"female"	"yes"	8	0.5976	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	1	0	1	0	7.3	"no"	"male"	"yes"	8	3.3967	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	18	3.3967	"yes"	"yes"	"no"	"west"	"other"
4	2	0	0	2	0	4	0	7.7	"no"	"female"	"no"	8	0.5346	"no"	"yes"	"no"	"west"	"excellent"
2	4	1	0	0	0	3	1	9.1	"no"	"female"	"no"	14	5.7114	"no"	"no"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	12	0.7757	"no"	"no"	"no"	"west"	"other"
4	1	0	0	0	0	1	0	7.3	"no"	"female"	"no"	11	0.7344	"no"	"yes"	"no"	"west"	"other"
10	0	0	0	1	0	0	0	7.5	"no"	"male"	"yes"	16	6.0101	"no"	"yes"	"no"	"west"	"other"
8	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	17	6.0101	"no"	"yes"	"no"	"west"	"other"
4	2	0	0	0	0	2	0	8.1	"no"	"female"	"no"	14	0.697	"no"	"yes"	"no"	"west"	"other"
5	1	0	0	0	0	4	0	8	"no"	"male"	"no"	0	0.6348	"no"	"yes"	"no"	"west"	"other"
0	0	1	0	0	0	0	0	7.6	"no"	"male"	"yes"	10	1.818	"no"	"no"	"no"	"west"	"excellent"
13	3	2	0	1	0	4	0	7	"no"	"male"	"yes"	12	6.0822	"no"	"yes"	"no"	"west"	"other"
6	0	1	0	0	0	1	0	6.7	"no"	"female"	"yes"	15	6.0822	"no"	"yes"	"no"	"west"	"other"
13	0	0	0	0	0	2	1	8.7	"no"	"female"	"no"	12	6.0822	"no"	"no"	"no"	"west"	"other"
3	0	0	0	0	0	2	0	7.1	"no"	"male"	"yes"	18	1.7716	"yes"	"yes"	"no"	"west"	"other"
14	1	0	0	0	1	2	0	6.7	"no"	"female"	"yes"	15	1.7716	"no"	"yes"	"no"	"west"	"other"
1	1	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	10	2.644	"no"	"yes"	"no"	"west"	"other"
8	1	0	0	0	0	2	0	7.7	"no"	"male"	"yes"	12	2.7092	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	15	2.7092	"no"	"yes"	"no"	"west"	"other"
6	25	2	0	0	0	4	0	7.8	"no"	"male"	"no"	12	0.9962	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	5	1	6.6	"no"	"male"	"no"	8	2.4456	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	4	2.7188	"no"	"no"	"no"	"west"	"other"
11	2	0	0	0	0	1	0	7	"no"	"male"	"no"	9	2.7188	"no"	"no"	"no"	"west"	"other"
10	2	0	0	0	0	3	0	8.2	"no"	"male"	"yes"	18	5.3404	"no"	"yes"	"no"	"west"	"other"
5	2	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	14	5.3404	"no"	"yes"	"no"	"west"	"excellent"
3	1	1	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	7.5248	"yes"	"yes"	"no"	"west"	"excellent"
0	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	14	7.5248	"yes"	"no"	"no"	"west"	"excellent"
9	0	0	0	0	0	3	0	8.5	"no"	"female"	"no"	14	2.5093	"yes"	"yes"	"no"	"west"	"other"
15	0	0	0	1	1	3	0	9.3	"no"	"female"	"no"	14	0.5212	"no"	"yes"	"no"	"west"	"other"
4	1	1	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	3.36	"no"	"yes"	"no"	"west"	"other"
14	0	0	0	3	1	2	0	6.9	"no"	"female"	"yes"	12	3.36	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	5	1	7.7	"no"	"female"	"yes"	12	1.3162	"no"	"yes"	"no"	"west"	"other"
3	1	0	0	1	0	1	1	8.5	"no"	"male"	"yes"	14	1.3162	"no"	"yes"	"no"	"west"	"other"
8	0	0	1	1	0	4	0	7.5	"no"	"male"	"yes"	0	7.0878	"no"	"yes"	"no"	"west"	"poor"
4	1	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	14	7.0878	"no"	"yes"	"no"	"west"	"other"
14	0	0	0	3	0	5	0	7.4	"no"	"male"	"yes"	13	5.3937	"no"	"yes"	"no"	"west"	"other"
17	6	1	0	0	0	4	0	6.8	"no"	"female"	"yes"	12	1.941537	"no"	"yes"	"no"	"west"	"other"
8	6	0	0	0	0	1	1	8.2	"no"	"female"	"no"	9	0.7644	"no"	"no"	"yes"	"west"	"other"
22	6	1	0	0	0	2	1	6.6	"no"	"female"	"no"	10	0.8604	"no"	"yes"	"yes"	"west"	"poor"
5	0	1	0	0	0	1	0	7.8	"no"	"male"	"no"	12	1.5594	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	1	0	7.8	"no"	"female"	"no"	6	2.7872	"no"	"no"	"yes"	"west"	"other"
2	1	0	0	0	0	2	0	7.2	"no"	"female"	"no"	10	1.0618	"no"	"yes"	"no"	"west"	"other"
24	20	1	0	1	3	1	0	8	"no"	"male"	"yes"	14	1.302	"no"	"yes"	"no"	"west"	"other"
1	3	4	1	0	0	3	1	7.1	"yes"	"female"	"no"	11	0.6864	"no"	"no"	"yes"	"west"	"poor"
1	1	0	0	1	0	3	0	6.7	"no"	"male"	"yes"	12	8.9592	"yes"	"yes"	"no"	"west"	"other"
12	4	0	0	0	0	2	0	8.2	"no"	"female"	"no"	11	0.6233	"no"	"yes"	"no"	"west"	"other"
7	1	0	0	0	0	2	0	7.4	"no"	"female"	"no"	14	13.7859	"no"	"yes"	"no"	"west"	"other"
17	2	0	12	1	1	2	1	8.6	"no"	"female"	"yes"	12	2.0668	"no"	"yes"	"no"	"west"	"poor"
8	2	0	0	0	0	1	1	9.2	"no"	"male"	"yes"	14	2.0668	"no"	"yes"	"no"	"west"	"other"
17	2	0	0	0	0	0	0	7.8	"no"	"female"	"no"	14	5.1648	"no"	"yes"	"no"	"west"	"excellent"
2	0	0	0	0	0	3	0	6.8	"no"	"female"	"no"	12	1.5323	"yes"	"yes"	"no"	"west"	"other"
3	5	0	0	0	0	2	0	7.9	"no"	"male"	"yes"	12	5.0242	"no"	"yes"	"no"	"west"	"other"
1	1	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	14	5.0242	"yes"	"yes"	"no"	"west"	"other"
11	0	0	0	2	1	3	0	6.8	"no"	"female"	"yes"	14	1.7027	"yes"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	4	0	7	"no"	"male"	"yes"	10	1.7027	"no"	"yes"	"no"	"west"	"other"
2	0	1	0	0	0	0	0	7.7	"no"	"male"	"yes"	18	2.9566	"no"	"yes"	"no"	"west"	"other"
1	1	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	2.9566	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	1.989859	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	2	1	6.8	"no"	"female"	"yes"	12	2.7128	"no"	"yes"	"no"	"west"	"poor"
6	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	2.7128	"no"	"yes"	"no"	"west"	"other"
1	0	9	1	0	0	1	1	6.7	"no"	"female"	"yes"	18	9.3768	"yes"	"yes"	"no"	"west"	"other"
1	0	8	0	0	0	1	1	7.4	"no"	"male"	"yes"	15	9.3768	"no"	"yes"	"no"	"west"	"other"
15	2	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	5.9058	"no"	"yes"	"no"	"west"	"other"
5	0	5	1	0	0	0	0	6.9	"no"	"male"	"yes"	15	6.2088	"no"	"no"	"no"	"west"	"excellent"
1	0	5	4	2	0	6	1	8.8	"no"	"female"	"no"	7	6.2088	"no"	"no"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	12	1.3013	"no"	"yes"	"no"	"west"	"other"
5	0	4	3	0	0	1	0	7	"no"	"female"	"no"	12	0.4957	"yes"	"yes"	"no"	"west"	"other"
7	13	0	0	1	1	2	0	6.6	"no"	"male"	"yes"	12	3.0556	"no"	"yes"	"no"	"west"	"other"
5	1	1	0	0	0	2	0	6.6	"no"	"female"	"yes"	12	3.0556	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	2	1	8	"no"	"male"	"yes"	7	0.9214	"no"	"no"	"no"	"west"	"poor"
13	0	0	0	0	0	2	0	8.2	"no"	"male"	"yes"	12	4.167	"no"	"yes"	"no"	"west"	"other"
18	0	0	0	0	2	1	0	7.3	"no"	"female"	"yes"	12	4.167	"no"	"yes"	"no"	"west"	"other"
15	0	0	0	0	1	0	0	7.2	"no"	"male"	"yes"	14	15.755	"no"	"yes"	"no"	"west"	"other"
5	2	0	0	0	0	3	0	6.9	"no"	"female"	"yes"	14	15.755	"no"	"yes"	"no"	"west"	"other"
16	12	0	0	1	0	2	1	7.3	"no"	"female"	"no"	8	0.7481	"no"	"no"	"yes"	"west"	"poor"
1	0	0	0	0	0	1	0	7.6	"no"	"male"	"no"	8	0.9883	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	5	1	8.5	"no"	"female"	"no"	10	1.48	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	1	0	7.6	"yes"	"female"	"no"	10	0.4452	"no"	"no"	"yes"	"other"	"other"
12	4	0	0	0	0	4	1	8.3	"no"	"female"	"yes"	8	1.2396	"no"	"yes"	"yes"	"other"	"poor"
16	13	6	0	1	1	1	0	7.9	"no"	"male"	"yes"	6	1.2396	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	1	0	7.3	"no"	"female"	"no"	16	1.6608	"no"	"yes"	"no"	"other"	"other"
3	4	5	0	0	0	1	0	8.5	"yes"	"male"	"no"	4	0.4092	"no"	"no"	"yes"	"other"	"other"
0	1	0	0	0	0	0	0	7.8	"no"	"male"	"no"	10	0.4644	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	1	0	7	"no"	"male"	"no"	11	0.5052	"no"	"yes"	"no"	"other"	"other"
13	0	0	0	1	1	2	0	7.4	"no"	"male"	"yes"	9	3.4181	"yes"	"yes"	"no"	"other"	"other"
27	0	1	0	0	0	2	0	6.6	"no"	"female"	"yes"	12	3.4181	"yes"	"yes"	"no"	"other"	"other"
16	2	4	1	1	2	3	0	7.2	"no"	"male"	"yes"	12	3.5389	"no"	"yes"	"no"	"other"	"poor"
7	0	1	0	0	0	5	1	6.6	"no"	"male"	"yes"	12	5.4072	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	6	1.6796	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.6	"yes"	"male"	"yes"	4	0.5515	"no"	"no"	"no"	"other"	"other"
13	0	0	0	1	1	2	0	7.6	"yes"	"female"	"no"	8	0.685282	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	0	2	1	1	8.7	"yes"	"female"	"no"	5	0.685282	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	0	0	2	0	7.5	"yes"	"male"	"yes"	7	1.7876	"no"	"no"	"yes"	"other"	"other"
11	0	0	0	0	0	3	1	6.6	"yes"	"female"	"yes"	3	1.7876	"no"	"no"	"yes"	"other"	"poor"
3	0	0	0	0	1	1	0	8.4	"yes"	"male"	"no"	3	1.7876	"no"	"no"	"yes"	"other"	"poor"
0	0	0	0	0	0	0	0	7.1	"yes"	"male"	"no"	3	1.7876	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	1	1	7.3	"yes"	"female"	"no"	9	0.4392	"no"	"no"	"no"	"other"	"other"
13	2	0	0	0	0	1	0	7.8	"no"	"female"	"no"	10	0.4914	"no"	"yes"	"no"	"other"	"other"
4	0	0	1	0	1	1	0	7.4	"yes"	"male"	"yes"	2	0.7622	"no"	"no"	"no"	"other"	"other"
6	0	0	0	0	2	1	0	6.7	"yes"	"female"	"yes"	9	0.7622	"no"	"no"	"no"	"other"	"other"
8	0	0	0	0	0	3	1	8	"yes"	"female"	"yes"	1	0.8608	"no"	"yes"	"no"	"other"	"other"
12	0	5	0	0	0	2	1	7.4	"no"	"female"	"no"	12	2.6496	"no"	"yes"	"no"	"other"	"other"
24	0	2	0	0	1	4	1	8.3	"no"	"male"	"no"	4	0.4116	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.8	"yes"	"female"	"yes"	8	1.0704	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	3	0	7.6	"no"	"male"	"no"	4	1.908	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	1	1	5	0	8.3	"yes"	"male"	"yes"	4	0.6516	"no"	"yes"	"yes"	"other"	"other"
0	0	0	0	0	0	2	0	7.7	"yes"	"female"	"yes"	5	0.6516	"no"	"yes"	"yes"	"other"	"poor"
5	0	0	0	1	1	1	0	8.6	"no"	"male"	"yes"	13	2.566	"no"	"yes"	"no"	"other"	"other"
1	0	2	0	0	0	0	0	8.2	"no"	"female"	"yes"	13	2.566	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	8	2.9708	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	1	8.1	"no"	"female"	"no"	8	0.4488	"no"	"no"	"yes"	"other"	"excellent"
25	17	2	2	0	1	2	1	6.7	"no"	"female"	"no"	6	0.4573	"no"	"no"	"yes"	"other"	"poor"
8	0	0	0	0	0	1	1	8.2	"no"	"male"	"yes"	6	0.9588	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	0	1	7.3	"no"	"female"	"yes"	10	0.9588	"no"	"yes"	"no"	"other"	"other"
21	0	0	0	0	0	2	0	6.9	"no"	"female"	"no"	15	1.51	"no"	"yes"	"no"	"other"	"other"
1	1	1	0	0	1	0	0	7	"yes"	"male"	"yes"	11	3.7034	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	1	8.1	"no"	"female"	"no"	12	0.9356	"no"	"yes"	"no"	"other"	"other"
9	0	0	0	0	0	1	0	7.6	"yes"	"male"	"no"	0	0.432	"no"	"no"	"yes"	"other"	"poor"
8	0	1	0	1	1	3	0	7	"no"	"male"	"yes"	8	1.8636	"no"	"no"	"no"	"other"	"other"
7	2	0	0	0	0	2	1	6.9	"yes"	"female"	"no"	4	0.42	"no"	"no"	"yes"	"other"	"other"
8	0	0	0	0	0	1	1	8.2	"yes"	"female"	"no"	7	0.444	"no"	"no"	"yes"	"other"	"poor"
5	0	1	0	0	0	2	0	8.2	"no"	"female"	"no"	18	3.3302	"no"	"yes"	"no"	"other"	"other"
3	6	0	0	0	0	0	0	6.9	"yes"	"female"	"no"	12	0.4308	"no"	"yes"	"yes"	"other"	"other"
9	0	0	0	1	1	3	0	7.2	"yes"	"male"	"yes"	12	1.1433	"no"	"no"	"no"	"other"	"poor"
17	0	0	0	0	0	1	0	6.9	"yes"	"female"	"yes"	9	1.1433	"yes"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	2	2.6499	"yes"	"yes"	"no"	"other"	"other"
1	1	2	0	0	0	3	1	8.3	"no"	"male"	"yes"	12	1.9509	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	11	1.9509	"no"	"yes"	"no"	"other"	"other"
19	5	1	0	0	0	2	0	8.2	"no"	"male"	"yes"	13	2.4464	"no"	"yes"	"no"	"other"	"poor"
4	0	0	0	0	0	2	1	7.7	"no"	"female"	"yes"	13	2.4464	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.1	"no"	"female"	"no"	12	0.6204	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	8	12.2424	"no"	"yes"	"no"	"other"	"other"
9	0	0	0	2	3	4	0	7.3	"no"	"female"	"no"	0	0.66	"no"	"no"	"yes"	"other"	"other"
2	1	0	0	1	0	5	1	7.3	"no"	"male"	"yes"	12	2.2788	"no"	"yes"	"no"	"other"	"other"
8	2	0	0	0	0	2	1	6.8	"no"	"female"	"yes"	7	2.2788	"yes"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	16	8.972	"yes"	"yes"	"no"	"other"	"excellent"
2	2	0	0	0	0	2	1	7.2	"no"	"female"	"no"	13	2.5569	"yes"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	7.2	"no"	"female"	"no"	10	1.2992	"yes"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	5	1.578	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	2	0	7	"no"	"male"	"no"	12	1.4611	"no"	"yes"	"no"	"midwest"	"other"
0	0	4	0	0	0	1	0	7.2	"yes"	"female"	"no"	9	0.4653	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	8	1.0944	"no"	"yes"	"no"	"midwest"	"excellent"
11	1	0	4	0	0	1	0	6.8	"no"	"female"	"no"	12	4.2511	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	0	1	0	2	0	8.4	"no"	"female"	"no"	14	1.0066	"no"	"yes"	"no"	"midwest"	"poor"
1	0	0	0	0	0	2	0	6.7	"no"	"female"	"yes"	8	1.2	"no"	"yes"	"no"	"midwest"	"other"
10	0	0	2	0	1	2	0	7.2	"no"	"male"	"yes"	12	1.9116	"yes"	"yes"	"no"	"midwest"	"poor"
4	3	4	0	0	0	1	0	6.8	"no"	"female"	"yes"	14	1.9116	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	0	0	7.7	"no"	"female"	"no"	5	0.384	"no"	"no"	"yes"	"midwest"	"excellent"
2	2	0	1	0	0	0	0	6.7	"no"	"female"	"no"	12	1.3473	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	12	10.8612	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	10	10.8612	"no"	"yes"	"no"	"midwest"	"excellent"
6	1	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	17	11.3992	"yes"	"yes"	"no"	"midwest"	"excellent"
4	0	0	1	0	0	1	0	6.7	"no"	"female"	"yes"	17	11.3992	"yes"	"yes"	"no"	"midwest"	"excellent"
2	0	0	1	0	0	1	0	7.3	"no"	"male"	"yes"	11	2.7308	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	3	0	7	"no"	"female"	"yes"	4	2.7308	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	1	8.1	"no"	"female"	"no"	0	0.7872	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	7.6	"no"	"male"	"no"	8	1.4504	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	6	1.1628	"no"	"yes"	"no"	"midwest"	"other"
14	0	1	4	0	0	2	0	7.4	"no"	"male"	"yes"	14	5.5887	"yes"	"yes"	"no"	"midwest"	"excellent"
15	14	0	3	0	0	0	0	7.1	"no"	"female"	"yes"	13	5.5887	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	12	4.442	"no"	"no"	"no"	"midwest"	"other"
10	0	1	0	0	0	0	0	8.9	"no"	"male"	"yes"	12	1.5756	"no"	"yes"	"no"	"midwest"	"other"
9	0	1	0	0	0	1	0	7	"no"	"female"	"yes"	14	1.5756	"no"	"yes"	"no"	"midwest"	"other"
3	0	1	0	1	0	1	0	7.4	"no"	"male"	"yes"	17	2.1597	"no"	"yes"	"no"	"midwest"	"other"
5	0	1	0	2	0	0	0	7.2	"no"	"female"	"yes"	13	2.1597	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	8	5.0429	"yes"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	4	1.4825	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	1	0	7.5	"no"	"male"	"yes"	5	1.4825	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	2	2	1	1	8.7	"no"	"male"	"yes"	8	0.9324	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	1	2	0	8.4	"no"	"female"	"yes"	8	0.9324	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	2	0	1	1	0	7.6	"no"	"male"	"yes"	10	2.6086	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	12	2.6086	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	7.8	"no"	"female"	"no"	9	2.4052	"no"	"yes"	"no"	"midwest"	"other"
7	17	0	0	0	0	2	0	7.1	"no"	"female"	"no"	12	0.3215	"no"	"yes"	"no"	"midwest"	"other"
0	3	0	0	0	0	3	0	6.7	"no"	"male"	"no"	12	0.7791	"no"	"yes"	"no"	"midwest"	"other"
7	0	1	0	0	0	0	0	7.3	"yes"	"male"	"yes"	5	10.5222	"yes"	"yes"	"no"	"noreast"	"other"
19	0	2	0	0	0	1	1	7.5	"yes"	"female"	"no"	3	0.8196	"no"	"yes"	"no"	"noreast"	"other"
0	0	4	1	0	0	0	0	9.2	"yes"	"male"	"yes"	2	1.0769	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	7.5	"yes"	"female"	"yes"	8	1.0769	"no"	"no"	"no"	"noreast"	"other"
13	0	0	0	0	1	2	0	8.4	"yes"	"female"	"no"	5	0.5292	"no"	"no"	"no"	"noreast"	"other"
7	0	0	0	0	2	0	0	8.5	"no"	"male"	"yes"	12	2.6978	"yes"	"yes"	"no"	"noreast"	"other"
3	4	0	0	0	2	0	0	8.3	"no"	"female"	"yes"	5	2.6978	"no"	"yes"	"no"	"noreast"	"other"
1	11	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	14	1.7072	"yes"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	14	1.7072	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	0	1	0	7.3	"no"	"female"	"no"	8	7.036	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	12	4.4991	"yes"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	12	4.4991	"no"	"yes"	"no"	"noreast"	"poor"
2	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	6.1581	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	1	1	0	9	"no"	"male"	"yes"	10	8.1575	"no"	"no"	"no"	"noreast"	"other"
17	0	0	1	0	0	2	0	7.4	"no"	"female"	"no"	8	10.723	"no"	"no"	"no"	"noreast"	"poor"
0	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	11	6.3076	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	6.3076	"yes"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	3	0	6.7	"no"	"male"	"no"	8	2.2457	"yes"	"yes"	"no"	"noreast"	"other"
12	1	0	0	1	1	2	0	6.6	"no"	"male"	"yes"	18	5.2101	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	1	2	2	1	8.7	"no"	"female"	"no"	9	5.2101	"no"	"yes"	"no"	"noreast"	"poor"
15	0	0	0	2	2	1	0	8.4	"no"	"female"	"no"	8	6.2388	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	4	0	7.2	"no"	"female"	"yes"	8	2.4561	"no"	"yes"	"no"	"noreast"	"other"
50	0	0	0	0	0	2	1	7.1	"no"	"female"	"no"	12	2.2068	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.5	"no"	"male"	"yes"	16	2.6086	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	2.6086	"no"	"no"	"no"	"noreast"	"other"
7	0	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	14	13.184	"no"	"yes"	"no"	"noreast"	"excellent"
6	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	14	13.184	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	7.4365	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	1	0	0	2	0	7.5	"no"	"male"	"no"	9	1.0908	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	2	0	7.3	"no"	"female"	"no"	10	0.7608	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	10	4.3758	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	6	2.5887	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	6	2.5887	"no"	"yes"	"no"	"noreast"	"excellent"
1	3	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	7	1.6272	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.1	"no"	"male"	"no"	14	1.6	"no"	"yes"	"no"	"noreast"	"other"
68	71	0	0	0	1	2	1	6.6	"no"	"male"	"yes"	16	1.5126	"no"	"yes"	"no"	"noreast"	"poor"
4	2	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	16	41.7596	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	2	1	2	0	7.5	"no"	"male"	"yes"	12	41.7596	"yes"	"yes"	"no"	"noreast"	"other"
6	0	1	0	0	0	2	0	6.9	"no"	"male"	"yes"	18	5.7406	"yes"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	5.7406	"no"	"yes"	"no"	"noreast"	"other"
7	6	1	0	0	0	0	0	7.8	"no"	"male"	"yes"	16	4.0565	"no"	"yes"	"no"	"noreast"	"other"
0	2	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	12	4.0565	"no"	"yes"	"no"	"noreast"	"other"
65	63	0	0	0	0	1	0	6.9	"no"	"male"	"no"	10	2.1552	"no"	"yes"	"no"	"noreast"	"excellent"
2	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	4.6263	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	0	0	0	3	0	8.3	"no"	"female"	"no"	16	20.18	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	0.6288	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	2	0	7.3	"no"	"male"	"no"	7	0.484	"no"	"no"	"yes"	"noreast"	"other"
3	0	0	0	0	0	1	0	8.2	"no"	"male"	"no"	4	0.7556	"no"	"no"	"no"	"noreast"	"other"
5	8	0	0	0	0	1	0	8.3	"no"	"female"	"no"	8	0.5568	"no"	"no"	"no"	"noreast"	"other"
26	0	1	0	2	1	4	1	7.8	"no"	"female"	"no"	8	4.1244	"no"	"yes"	"no"	"noreast"	"other"
12	2	0	0	1	0	0	1	8.6	"no"	"female"	"no"	7	4.85	"no"	"yes"	"no"	"noreast"	"other"
12	2	0	3	0	0	2	0	7.5	"no"	"female"	"yes"	9	5.5335	"no"	"yes"	"no"	"noreast"	"other"
1	0	1	2	0	0	0	0	7.7	"no"	"male"	"yes"	12	5.5335	"no"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	12	0.9479	"no"	"yes"	"no"	"west"	"other"
5	1	1	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	0.9479	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	2	0	7.6	"no"	"female"	"no"	9	0.492	"no"	"yes"	"no"	"west"	"other"
7	1	0	0	0	0	1	0	7.9	"no"	"male"	"yes"	8	0.908	"no"	"yes"	"no"	"west"	"other"
8	9	1	0	1	1	3	0	7.1	"no"	"female"	"yes"	7	0.908	"no"	"yes"	"no"	"west"	"other"
3	4	0	0	0	2	1	0	9	"no"	"female"	"no"	8	6.933004	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	6.933004	"yes"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.8	"no"	"female"	"no"	8	2.078	"no"	"no"	"no"	"midwest"	"other"
0	0	0	1	0	0	1	0	7.8	"no"	"male"	"yes"	10	0.8916	"no"	"no"	"no"	"midwest"	"other"
0	1	0	0	0	0	2	1	8.3	"no"	"female"	"yes"	10	0.8916	"no"	"yes"	"no"	"midwest"	"other"
3	2	0	0	0	0	0	0	8.5	"no"	"female"	"no"	8	2.9286	"no"	"yes"	"no"	"midwest"	"other"
3	4	0	0	0	0	1	0	7.3	"no"	"female"	"no"	12	1.654	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	8.2	"no"	"male"	"yes"	8	1.3015	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	0	7.1	"no"	"female"	"yes"	8	1.3015	"no"	"yes"	"no"	"midwest"	"other"
13	5	0	1	0	0	1	1	7.6	"no"	"female"	"no"	12	0.7641	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	3	0	7.3	"no"	"male"	"yes"	12	1.7804	"no"	"yes"	"no"	"midwest"	"other"
10	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	8	1.7804	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	1.68	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	2.272	"no"	"yes"	"no"	"midwest"	"other"
4	2	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	2	2.272	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	4	0	7.2	"no"	"female"	"no"	12	1.0588	"no"	"yes"	"no"	"midwest"	"other"
16	3	1	0	0	2	3	0	7.7	"no"	"female"	"no"	12	3.8521	"no"	"yes"	"no"	"midwest"	"other"
6	4	0	0	0	0	1	0	8	"no"	"female"	"no"	12	3.8521	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.5	"no"	"male"	"no"	8	1.419	"yes"	"yes"	"no"	"midwest"	"other"
8	0	0	0	1	1	3	0	7.8	"no"	"male"	"no"	12	0.7735	"no"	"yes"	"no"	"midwest"	"poor"
5	3	0	0	0	0	1	0	7.4	"no"	"female"	"no"	12	0.5904	"no"	"yes"	"no"	"midwest"	"other"
6	1	1	0	0	0	1	1	8	"no"	"female"	"yes"	13	2.7339	"no"	"yes"	"no"	"midwest"	"other"
6	12	0	0	0	0	0	1	8.2	"no"	"male"	"yes"	14	2.7339	"yes"	"yes"	"no"	"midwest"	"other"
13	6	0	5	1	1	2	1	8.2	"no"	"female"	"no"	3	0.5664	"no"	"yes"	"no"	"midwest"	"poor"
0	0	4	0	0	0	3	0	7	"yes"	"male"	"yes"	4	2.176	"no"	"yes"	"no"	"midwest"	"other"
1	0	4	0	1	1	2	0	6.6	"yes"	"female"	"yes"	12	2.176	"yes"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	4	0	7.3	"no"	"female"	"no"	12	3.6288	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	1	6	1	7.9	"no"	"male"	"no"	7	3.6288	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	2	0	7	"no"	"male"	"yes"	12	2.6469	"no"	"yes"	"no"	"midwest"	"other"
10	0	4	0	0	0	3	0	6.9	"no"	"female"	"yes"	10	2.6469	"no"	"yes"	"no"	"midwest"	"poor"
5	0	1	0	0	0	3	1	7.8	"no"	"male"	"yes"	18	2.9743	"no"	"yes"	"no"	"midwest"	"other"
9	9	1	1	0	0	0	0	7.7	"no"	"female"	"yes"	14	2.9743	"no"	"yes"	"no"	"midwest"	"other"
2	9	0	0	0	0	1	0	7.9	"no"	"female"	"yes"	12	8.0245	"no"	"yes"	"no"	"midwest"	"excellent"
1	8	0	0	0	0	1	0	8	"no"	"male"	"yes"	16	8.0245	"yes"	"yes"	"no"	"midwest"	"other"
12	0	0	0	1	1	3	1	6.6	"no"	"female"	"no"	12	0.6072	"no"	"yes"	"no"	"midwest"	"poor"
89	18	0	1	3	5	2	0	6.8	"no"	"male"	"yes"	12	2.9954	"yes"	"yes"	"no"	"midwest"	"poor"
3	2	0	0	0	0	0	0	8.6	"no"	"female"	"no"	9	0.8765	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	1.3784	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	16	3.2673	"no"	"no"	"no"	"noreast"	"other"
19	4	0	0	0	0	4	1	8.7	"no"	"male"	"no"	6	1.52	"no"	"yes"	"no"	"noreast"	"poor"
14	4	0	1	0	0	4	1	8.2	"no"	"male"	"yes"	6	1.2886	"no"	"yes"	"no"	"noreast"	"poor"
12	4	0	4	0	0	2	1	8.3	"no"	"female"	"yes"	6	1.2886	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	1	0	0	2	0	7.7	"no"	"male"	"no"	8	3.3663	"no"	"yes"	"no"	"noreast"	"other"
3	2	0	0	0	0	1	1	8	"no"	"male"	"no"	6	1.6304	"no"	"yes"	"no"	"noreast"	"poor"
3	0	0	0	0	0	0	0	7.4	"no"	"female"	"no"	8	0.7242	"no"	"yes"	"no"	"noreast"	"other"
17	0	5	0	1	0	6	0	7.4	"no"	"female"	"no"	4	0.584	"no"	"yes"	"no"	"noreast"	"poor"
10	0	0	0	0	1	4	1	7.8	"no"	"male"	"yes"	16	11.5897	"no"	"yes"	"no"	"midwest"	"poor"
6	0	0	1	0	1	2	1	7.6	"no"	"female"	"yes"	16	11.5897	"no"	"yes"	"no"	"midwest"	"poor"
4	1	0	0	0	0	3	0	7.8	"no"	"female"	"no"	18	3.414	"no"	"yes"	"no"	"midwest"	"other"
6	2	0	2	0	0	0	0	6.8	"no"	"male"	"yes"	18	4.1549	"yes"	"yes"	"no"	"midwest"	"other"
5	2	0	0	1	0	0	0	6.6	"no"	"female"	"yes"	12	4.1549	"no"	"yes"	"no"	"midwest"	"other"
13	0	1	0	0	0	2	0	7	"no"	"female"	"no"	12	1.368	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	2	0	6.7	"no"	"female"	"no"	11	2.2297	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	11	1.1092	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	1.1092	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	10	1.11	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7	"no"	"female"	"no"	9	0.938	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	1	0	0	1	0	6.6	"no"	"male"	"yes"	12	2.4006	"yes"	"yes"	"no"	"midwest"	"other"
9	28	1	11	1	0	1	1	6.6	"no"	"female"	"yes"	12	3.7471	"no"	"yes"	"no"	"midwest"	"poor"
5	9	0	0	0	1	1	1	7.8	"no"	"female"	"no"	8	2.1208	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	1	0	0	2	0	6.8	"no"	"male"	"yes"	12	3.2208	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	12	3.2208	"no"	"yes"	"no"	"midwest"	"other"
5	0	2	0	0	0	3	1	8.2	"no"	"male"	"yes"	12	1.7256	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	1	1	1	7.7	"no"	"female"	"yes"	12	1.7256	"no"	"yes"	"no"	"midwest"	"other"
0	0	5	0	0	1	0	0	7.6	"no"	"male"	"no"	14	0.3638	"no"	"no"	"no"	"noreast"	"other"
11	0	0	0	0	0	0	0	8.2	"no"	"female"	"no"	10	1.6751	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	2	0	0	0	0	7.1	"no"	"male"	"no"	12	2.3808	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	0	3	0	2	0	7.6	"no"	"female"	"no"	10	3.1373	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	1	0	7.8	"no"	"female"	"no"	8	0.5351	"no"	"no"	"yes"	"noreast"	"other"
24	4	1	1	1	2	4	0	7.2	"no"	"male"	"yes"	18	7.2798	"yes"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	14	3.1505	"no"	"yes"	"no"	"noreast"	"other"
3	5	0	0	0	0	1	1	7.8	"no"	"female"	"yes"	16	3.1505	"no"	"yes"	"no"	"noreast"	"other"
14	0	1	1	0	0	2	0	7.1	"no"	"male"	"yes"	14	5.1629	"no"	"yes"	"no"	"noreast"	"other"
7	1	1	1	0	1	1	0	6.9	"no"	"female"	"no"	14	0.885787	"no"	"yes"	"no"	"noreast"	"other"
8	0	0	2	1	0	4	0	7	"no"	"male"	"yes"	10	2.5736	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	1	0	0	1	0	6.7	"no"	"female"	"yes"	8	2.5736	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	1	1	3	1	10.9	"no"	"female"	"no"	16	1.64	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	1	0	7.9	"no"	"male"	"no"	8	1.6008	"no"	"yes"	"no"	"noreast"	"excellent"
21	0	1	1	1	1	3	1	8.2	"no"	"female"	"no"	11	4.4638	"no"	"yes"	"no"	"noreast"	"other"
5	0	1	2	0	0	1	0	7.4	"no"	"female"	"no"	15	1.6233	"no"	"yes"	"no"	"noreast"	"other"
4	1	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	11	3.4875	"no"	"yes"	"no"	"noreast"	"other"
8	1	0	0	0	0	2	0	7.1	"no"	"female"	"yes"	12	3.4875	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	8	3.6605	"yes"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	10	3.6605	"no"	"yes"	"no"	"noreast"	"other"
8	0	1	3	1	3	3	0	7.1	"no"	"female"	"no"	12	0.246	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	1	0	0	1	0	7.2	"no"	"female"	"no"	7	1.7886	"no"	"yes"	"no"	"noreast"	"other"
8	0	1	0	0	0	2	0	6.8	"no"	"male"	"yes"	8	1.7886	"no"	"yes"	"no"	"noreast"	"poor"
8	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	10	1.7886	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	8.1	"no"	"male"	"no"	8	3.3704	"no"	"no"	"no"	"noreast"	"other"
13	0	0	0	0	0	1	1	7	"no"	"female"	"no"	10	5.8959	"no"	"yes"	"no"	"noreast"	"other"
9	1	0	0	1	1	1	0	7.3	"no"	"female"	"no"	8	0.6024	"no"	"yes"	"no"	"noreast"	"other"
4	1	1	0	0	0	0	0	8	"no"	"male"	"yes"	8	1.869619	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	1	0	0	1	0	8	"no"	"male"	"yes"	12	1.6596	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	1	0	0	0	0	7.7	"no"	"female"	"yes"	7	1.6596	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	8.4	"no"	"female"	"no"	11	0.8612	"no"	"yes"	"no"	"noreast"	"excellent"
6	0	0	0	0	0	1	0	7.1	"no"	"female"	"no"	7	1.4616	"no"	"yes"	"no"	"noreast"	"other"
14	0	0	1	1	2	3	1	6.9	"no"	"male"	"yes"	11	9.2841	"no"	"yes"	"no"	"noreast"	"poor"
4	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	7	2.4816	"no"	"no"	"no"	"noreast"	"excellent"
3	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	11	2.4816	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	2	0	8.7	"no"	"female"	"no"	7	2.4816	"no"	"no"	"no"	"noreast"	"other"
3	0	1	0	0	0	0	1	8.4	"no"	"female"	"no"	5	0.432	"no"	"no"	"yes"	"noreast"	"other"
4	0	0	0	0	0	3	0	6.7	"no"	"female"	"no"	12	2.01	"no"	"yes"	"no"	"noreast"	"other"
11	1	0	0	0	0	2	1	8.2	"no"	"female"	"no"	10	4.9774	"no"	"yes"	"no"	"noreast"	"poor"
2	0	0	1	0	0	0	0	7.3	"no"	"female"	"no"	13	0.504	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	2	0	0	3	0	6.7	"no"	"female"	"no"	12	0.6527	"no"	"yes"	"no"	"noreast"	"other"
10	0	0	1	0	0	4	0	7	"no"	"female"	"no"	12	0.75	"no"	"yes"	"no"	"noreast"	"other"
14	2	2	1	1	0	2	1	6.8	"no"	"male"	"yes"	12	1.38651	"no"	"yes"	"no"	"noreast"	"other"
10	0	0	0	1	1	4	0	8.2	"no"	"male"	"yes"	11	1.0008	"no"	"yes"	"no"	"noreast"	"poor"
15	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	1.164	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	2	1	8.3	"yes"	"male"	"yes"	7	1.4484	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	1	1	8.2	"yes"	"female"	"yes"	5	1.4484	"no"	"yes"	"no"	"noreast"	"other"
3	0	2	0	1	1	4	0	7.4	"yes"	"male"	"yes"	12	2.4176	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	12	2.4648	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	10	2.4648	"no"	"yes"	"no"	"west"	"excellent"
0	0	2	0	0	0	2	0	6.9	"no"	"female"	"yes"	6	2.5594	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	0	0.981	"no"	"yes"	"no"	"west"	"excellent"
9	0	0	0	0	0	1	1	7.3	"no"	"male"	"no"	9	1.022	"no"	"yes"	"no"	"west"	"excellent"
3	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	16	7.03	"no"	"no"	"yes"	"west"	"excellent"
4	0	0	0	1	0	0	0	7.3	"no"	"female"	"yes"	16	7.03	"no"	"no"	"yes"	"west"	"other"
3	0	2	0	1	0	0	0	6.9	"no"	"female"	"no"	13	3.3772	"yes"	"yes"	"no"	"west"	"other"
6	1	1	0	1	0	2	0	7.5	"no"	"male"	"yes"	14	3.1174	"no"	"yes"	"no"	"west"	"other"
3	14	0	0	0	0	1	0	7.8	"no"	"female"	"no"	13	0.5759	"yes"	"no"	"no"	"west"	"other"
5	1	4	0	1	0	3	0	7.8	"no"	"male"	"yes"	13	1.7964	"no"	"yes"	"no"	"west"	"other"
11	2	4	14	2	0	2	0	7.6	"no"	"female"	"yes"	11	1.7964	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	3	0	7.1	"yes"	"female"	"no"	12	0.4016	"no"	"yes"	"no"	"west"	"other"
0	0	7	0	4	5	2	1	7.1	"no"	"female"	"no"	5	0.5208	"no"	"no"	"no"	"west"	"poor"
25	9	0	0	0	0	2	1	6.7	"yes"	"female"	"no"	12	0.3672	"no"	"no"	"yes"	"west"	"poor"
2	0	0	0	0	0	0	0	6.9	"no"	"female"	"no"	6	0.386	"no"	"no"	"no"	"west"	"other"
6	0	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	15	3.986	"no"	"yes"	"no"	"west"	"other"
18	4	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	16	3.986	"no"	"yes"	"no"	"west"	"other"
13	28	2	0	0	0	2	0	7.2	"no"	"female"	"yes"	15	11.4728	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	14	11.4728	"no"	"yes"	"no"	"west"	"other"
20	5	0	0	0	1	1	0	7.7	"no"	"female"	"no"	16	4.1608	"no"	"yes"	"no"	"west"	"other"
3	1	1	0	0	0	3	0	7.4	"no"	"male"	"yes"	16	2.3527	"yes"	"yes"	"no"	"west"	"other"
4	13	0	0	0	0	1	0	8	"no"	"male"	"yes"	16	5.9493	"no"	"yes"	"no"	"west"	"other"
31	17	2	1	1	2	0	0	7.2	"no"	"female"	"yes"	14	5.9493	"no"	"yes"	"no"	"west"	"other"
5	0	1	0	0	1	0	0	7.5	"no"	"male"	"yes"	16	5.8675	"yes"	"yes"	"no"	"west"	"other"
11	1	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	18	5.8675	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	0	1	2	0	7.4	"no"	"female"	"yes"	17	5.496339	"no"	"yes"	"no"	"west"	"other"
5	3	0	1	0	0	1	0	7.2	"no"	"male"	"yes"	18	4.6936	"no"	"yes"	"no"	"west"	"other"
3	2	1	0	0	0	2	0	6.9	"no"	"female"	"yes"	15	4.6936	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	8	2.633446	"no"	"yes"	"no"	"west"	"excellent"
6	1	0	0	1	2	2	1	7.5	"no"	"male"	"yes"	12	2.633446	"no"	"yes"	"no"	"west"	"other"
4	9	0	0	0	0	1	0	8.3	"no"	"male"	"yes"	7	3.1285	"no"	"no"	"no"	"west"	"other"
3	5	0	0	0	0	0	0	6.8	"no"	"female"	"no"	12	0.7292	"no"	"yes"	"no"	"west"	"excellent"
2	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	16	4.092	"no"	"yes"	"no"	"west"	"other"
0	13	0	0	0	0	2	0	7.3	"no"	"male"	"no"	9	0	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	8	3.8636	"no"	"yes"	"no"	"west"	"other"
4	0	1	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	3.8636	"no"	"yes"	"no"	"west"	"other"
3	5	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	3.8429	"yes"	"yes"	"no"	"west"	"other"
13	0	0	0	0	0	3	0	6.7	"no"	"male"	"yes"	12	13.4931	"no"	"no"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	8	13.4931	"no"	"no"	"no"	"west"	"other"
3	2	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	12	4.5309	"no"	"yes"	"no"	"west"	"other"
2	1	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	3.1263	"no"	"yes"	"no"	"west"	"other"
14	2	0	1	1	1	2	0	7.5	"no"	"female"	"no"	7	1.1902	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	1	0	9.2	"no"	"male"	"yes"	0	0.941892	"no"	"no"	"no"	"west"	"excellent"
9	4	0	0	1	1	2	0	7.6	"no"	"male"	"yes"	8	4.177	"no"	"yes"	"no"	"west"	"other"
6	1	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	8	4.177	"no"	"yes"	"no"	"west"	"other"
12	6	0	0	1	1	4	0	7.6	"no"	"female"	"no"	14	0.8838	"no"	"yes"	"no"	"west"	"other"
7	1	1	1	0	0	2	0	6.8	"no"	"male"	"yes"	12	4.0376	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	2	0	6.6	"no"	"female"	"yes"	12	4.0376	"yes"	"yes"	"no"	"west"	"other"
10	0	0	0	0	1	2	0	8.5	"no"	"male"	"no"	8	1.2113	"no"	"yes"	"no"	"west"	"other"
10	6	0	0	1	1	2	0	6.9	"no"	"female"	"no"	12	1.1909	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	1	0	2	1	8.9	"no"	"female"	"no"	13	0.3333	"no"	"no"	"no"	"west"	"poor"
1	0	0	0	0	0	2	0	7.7	"no"	"female"	"no"	6	0.5196	"no"	"no"	"no"	"west"	"other"
3	0	0	0	1	1	2	0	7.6	"no"	"female"	"no"	5	0.938	"no"	"yes"	"no"	"west"	"other"
6	1	0	0	1	1	2	1	7.5	"no"	"female"	"no"	9	0.4441	"no"	"no"	"yes"	"west"	"other"
2	0	0	0	0	0	2	0	7.4	"no"	"male"	"yes"	10	3.2137	"yes"	"no"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	8	"no"	"female"	"no"	0	0.846	"no"	"no"	"no"	"west"	"other"
4	2	0	0	0	0	1	0	8.2	"no"	"female"	"no"	2	0.5843	"no"	"yes"	"no"	"west"	"other"
16	0	7	0	0	0	5	0	6.8	"no"	"male"	"yes"	11	5.2844	"no"	"no"	"no"	"west"	"poor"
5	1	0	0	0	0	1	1	6.6	"no"	"female"	"no"	16	1.2904	"no"	"yes"	"no"	"west"	"other"
3	1	0	0	0	0	1	0	8	"no"	"female"	"no"	12	0.9028	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	6.9	"yes"	"male"	"yes"	11	1.2876	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	3	1	8.3	"no"	"female"	"no"	8	1.4784	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	0	1	0	6.7	"no"	"female"	"no"	11	1.838	"no"	"yes"	"no"	"midwest"	"other"
16	0	4	0	1	0	3	0	6.7	"no"	"male"	"yes"	12	1.4354	"no"	"yes"	"no"	"midwest"	"other"
7	1	0	0	0	0	2	0	7	"no"	"male"	"yes"	11	1.5972	"no"	"yes"	"no"	"midwest"	"other"
14	0	1	12	2	3	1	0	6.7	"no"	"male"	"yes"	12	5.9082	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	2	0	2	0	6.6	"no"	"female"	"yes"	12	5.9082	"no"	"yes"	"no"	"midwest"	"other"
4	0	3	0	0	0	1	0	7.4	"no"	"male"	"yes"	11	8.2746	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	2	1	0	2	0	6.6	"no"	"female"	"yes"	9	8.2746	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	14	3.881	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.2	"yes"	"female"	"no"	11	1.5627	"no"	"yes"	"no"	"midwest"	"other"
1	1	0	0	0	0	2	1	8.5	"yes"	"male"	"yes"	8	0.6744	"no"	"no"	"yes"	"midwest"	"other"
0	0	0	0	0	0	1	1	8.3	"yes"	"female"	"yes"	12	0.6744	"no"	"no"	"yes"	"midwest"	"other"
9	0	1	0	0	2	3	0	7.9	"yes"	"female"	"no"	9	0.684	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	9	2.9852	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	4	0	7	"yes"	"male"	"yes"	10	1.2036	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	4	0	6.6	"yes"	"female"	"yes"	10	1.2036	"no"	"no"	"no"	"midwest"	"other"
2	2	0	1	0	0	1	0	6.9	"no"	"male"	"yes"	10	2.0815	"no"	"yes"	"no"	"midwest"	"other"
3	1	1	0	1	3	3	0	7.5	"no"	"male"	"yes"	13	5.4338	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	1	0	0	1	0	7.2	"no"	"female"	"yes"	12	5.4338	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	0	0	0	1	0	7.2	"no"	"male"	"no"	15	1.9716	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	12	2.43	"no"	"yes"	"no"	"midwest"	"other"
9	3	0	0	0	0	2	0	7.8	"no"	"female"	"no"	16	1.714	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	0	0	0	2	0	7.9	"no"	"male"	"yes"	14	3.5648	"no"	"yes"	"no"	"midwest"	"other"
2	1	1	0	1	0	2	0	7.9	"no"	"female"	"yes"	16	3.5648	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	2	0	0	8.4	"no"	"male"	"no"	12	0.6	"no"	"yes"	"no"	"midwest"	"other"
0	0	1	0	0	0	3	1	8	"yes"	"female"	"no"	12	1.3932	"no"	"yes"	"no"	"midwest"	"other"
0	0	5	0	1	1	0	0	6.7	"yes"	"female"	"no"	14	3.6904	"no"	"no"	"no"	"midwest"	"other"
4	0	19	0	0	0	1	0	7.4	"yes"	"female"	"no"	9	0.6192	"no"	"yes"	"no"	"midwest"	"other"
2	0	4	0	2	0	1	0	8	"yes"	"female"	"no"	4	0.2832	"no"	"no"	"no"	"midwest"	"poor"
1	1	1	0	0	0	2	0	7.1	"no"	"female"	"no"	12	6.1	"no"	"no"	"no"	"midwest"	"other"
1	0	0	2	0	0	0	0	7.7	"no"	"male"	"yes"	12	1.6098	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	12	1.6098	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	1	7.9	"no"	"female"	"no"	8	0.7913	"no"	"yes"	"no"	"midwest"	"poor"
10	0	0	0	0	0	3	0	6.8	"no"	"male"	"no"	9	0.7224	"no"	"no"	"no"	"midwest"	"other"
5	1	0	0	0	0	1	0	6.6	"no"	"female"	"no"	8	0.9141	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	11	2.8412	"no"	"yes"	"no"	"midwest"	"other"
3	1	3	0	0	0	5	0	7.7	"no"	"male"	"no"	12	0.932	"no"	"yes"	"no"	"midwest"	"poor"
0	28	0	5	0	0	2	0	7.6	"no"	"female"	"no"	8	0.8532	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	2	0	7	"no"	"male"	"yes"	12	1.595631	"no"	"yes"	"no"	"midwest"	"other"
9	4	0	0	0	0	2	0	7	"no"	"female"	"yes"	12	1.7976	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	1	1	1	0	8.4	"no"	"female"	"yes"	8	1.165344	"no"	"yes"	"no"	"midwest"	"poor"
6	1	0	0	0	1	2	0	8	"no"	"male"	"yes"	16	5.4045	"no"	"yes"	"no"	"midwest"	"poor"
6	0	0	0	0	1	1	0	8	"no"	"female"	"yes"	14	5.4045	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	7	"no"	"female"	"no"	10	0.7458	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	14	3.9561	"no"	"yes"	"no"	"midwest"	"other"
4	2	1	1	0	1	2	1	7	"no"	"male"	"yes"	12	3.0462	"no"	"yes"	"no"	"midwest"	"other"
6	6	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	16	2.2719	"yes"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	1	1	2	1	8.6	"yes"	"male"	"no"	6	2.28	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.3	"no"	"male"	"no"	12	0.8392	"no"	"yes"	"no"	"noreast"	"other"
10	0	0	0	0	0	0	1	6.8	"no"	"male"	"yes"	6	1.4764	"no"	"yes"	"no"	"noreast"	"poor"
9	0	1	0	0	1	3	0	7.5	"no"	"female"	"yes"	6	1.4764	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	1.4292	"no"	"yes"	"no"	"noreast"	"other"
4	1	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	14	6.132	"no"	"yes"	"no"	"noreast"	"other"
11	1	0	0	0	0	1	0	7.5	"no"	"female"	"no"	13	2.4884	"no"	"yes"	"no"	"noreast"	"other"
4	1	0	0	0	0	3	0	8.1	"no"	"male"	"yes"	12	2.8524	"no"	"yes"	"no"	"noreast"	"other"
4	4	1	0	1	0	1	0	8.1	"no"	"female"	"yes"	13	2.8524	"no"	"yes"	"no"	"noreast"	"excellent"
0	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	9	1.1068	"no"	"yes"	"no"	"noreast"	"other"
28	7	61	2	1	2	5	1	6.6	"no"	"female"	"yes"	11	1.1068	"no"	"yes"	"no"	"noreast"	"poor"
3	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	8	1.751	"no"	"yes"	"no"	"noreast"	"other"
2	1	1	0	0	0	2	0	6.7	"no"	"female"	"yes"	7	1.751	"no"	"yes"	"no"	"noreast"	"other"
8	0	2	1	0	1	2	0	6.6	"no"	"male"	"yes"	6	1.6208	"no"	"yes"	"no"	"noreast"	"poor"
8	8	0	1	1	0	1	0	7.2	"no"	"female"	"no"	8	0.6696	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	8.5	"no"	"male"	"yes"	12	1.2788	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	1	8.6	"no"	"female"	"yes"	9	1.2788	"no"	"yes"	"no"	"noreast"	"poor"
9	0	0	0	0	1	5	0	8.1	"no"	"female"	"no"	7	0.5128	"no"	"no"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	16	3.6795	"yes"	"yes"	"no"	"noreast"	"other"
3	1	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	16	3.6795	"no"	"yes"	"no"	"noreast"	"other"
0	1	0	0	0	0	2	1	9.9	"no"	"female"	"no"	12	3.6795	"no"	"yes"	"no"	"noreast"	"other"
7	0	1	1	0	0	2	0	6.7	"no"	"male"	"yes"	12	6.4212	"no"	"yes"	"no"	"noreast"	"other"
5	1	0	0	1	0	1	0	8.1	"no"	"male"	"yes"	6	2.0011	"no"	"yes"	"no"	"noreast"	"other"
1	7	0	0	0	0	1	0	7.9	"no"	"female"	"yes"	12	2.0011	"no"	"yes"	"no"	"noreast"	"other"
2	0	1	0	0	0	1	0	7.4	"no"	"male"	"yes"	14	3.77	"no"	"yes"	"no"	"noreast"	"other"
11	0	2	0	0	0	1	0	7.8	"no"	"male"	"no"	0	0.7812	"no"	"yes"	"no"	"midwest"	"excellent"
12	0	0	0	7	3	5	1	6.9	"no"	"female"	"no"	10	0.5576	"no"	"no"	"yes"	"midwest"	"poor"
9	0	0	0	2	1	3	1	7.4	"no"	"female"	"no"	8	1.0268	"yes"	"yes"	"no"	"midwest"	"other"
11	3	0	2	1	1	1	1	7.6	"no"	"female"	"no"	8	0.658	"no"	"yes"	"no"	"midwest"	"other"
9	0	1	0	0	1	5	0	7.4	"no"	"male"	"yes"	8	1.6794	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	2	0	6.7	"no"	"female"	"yes"	8	1.6794	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	14	2.7551	"no"	"yes"	"no"	"midwest"	"other"
30	3	0	0	0	1	3	0	6.6	"no"	"female"	"yes"	12	2.7551	"no"	"yes"	"no"	"midwest"	"other"
0	0	9	1	0	1	2	0	6.8	"yes"	"female"	"no"	8	0.6708	"yes"	"no"	"no"	"midwest"	"other"
2	28	0	0	0	1	1	0	6.6	"no"	"male"	"yes"	12	3.3666	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	1	0	1	0	6.7	"no"	"male"	"yes"	12	4.7062	"no"	"yes"	"no"	"midwest"	"excellent"
0	14	4	0	0	0	1	0	6.7	"yes"	"female"	"no"	12	0.4104	"no"	"no"	"no"	"midwest"	"other"
10	0	0	2	0	2	1	0	6.9	"yes"	"female"	"no"	12	0.4183	"no"	"yes"	"no"	"midwest"	"other"
0	1	9	0	1	1	2	1	8.8	"yes"	"female"	"no"	5	0.522	"no"	"no"	"no"	"midwest"	"other"
4	0	0	0	0	0	0	1	8.2	"yes"	"female"	"no"	7	0.6565	"no"	"yes"	"no"	"midwest"	"other"
1	0	1	0	0	0	0	0	6.9	"yes"	"female"	"no"	12	0	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	0	8.8	"no"	"female"	"no"	6	1.6473	"no"	"yes"	"no"	"midwest"	"other"
15	0	0	0	0	0	1	0	7.7	"no"	"female"	"no"	8	1.6473	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	11	4.4902	"no"	"yes"	"no"	"midwest"	"other"
5	0	1	0	0	0	2	1	7.6	"no"	"female"	"no"	8	0.4884	"no"	"yes"	"no"	"midwest"	"other"
6	3	1	0	0	0	2	0	8.2	"no"	"female"	"no"	12	0.5616	"no"	"yes"	"no"	"noreast"	"other"
9	0	2	1	0	0	1	0	7.8	"no"	"female"	"no"	14	1.7469	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	3	0	1	0	8.1	"no"	"female"	"no"	10	2.0062	"no"	"yes"	"no"	"noreast"	"excellent"
4	1	0	1	2	1	2	0	7.5	"no"	"male"	"yes"	12	2.2076	"no"	"yes"	"no"	"noreast"	"other"
0	0	8	0	0	0	1	1	7.8	"no"	"female"	"yes"	12	2.2076	"no"	"yes"	"no"	"noreast"	"other"
14	0	6	0	0	1	3	0	7.6	"no"	"male"	"yes"	12	1.3856	"no"	"yes"	"no"	"noreast"	"other"
9	12	0	0	0	0	5	0	7.1	"no"	"female"	"yes"	12	1.3856	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	12	3.9414	"no"	"yes"	"no"	"noreast"	"excellent"
3	1	0	0	0	0	1	0	7.3	"no"	"female"	"no"	16	2.498	"no"	"yes"	"no"	"noreast"	"other"
0	4	3	1	0	0	2	1	7.5	"yes"	"female"	"no"	0	1.0344	"no"	"yes"	"no"	"noreast"	"other"
14	0	2	0	0	0	0	1	7.2	"yes"	"female"	"no"	8	0.6	"no"	"no"	"yes"	"noreast"	"other"
7	0	0	1	0	1	1	0	7.9	"no"	"female"	"no"	8	1.0267	"no"	"yes"	"no"	"noreast"	"other"
18	0	0	3	0	0	3	1	8.1	"no"	"female"	"no"	12	0.64	"no"	"yes"	"no"	"noreast"	"other"
4	1	0	0	2	1	3	1	6.6	"yes"	"male"	"no"	12	0.8364	"no"	"yes"	"no"	"noreast"	"poor"
5	1	0	0	0	0	6	0	7.2	"no"	"male"	"yes"	10	1.6957	"no"	"yes"	"no"	"noreast"	"poor"
9	0	0	0	0	0	2	0	7.1	"no"	"female"	"yes"	8	1.6957	"no"	"yes"	"no"	"noreast"	"poor"
0	2	0	0	0	0	2	0	7.3	"no"	"male"	"yes"	14	1.4518	"no"	"yes"	"no"	"noreast"	"other"
14	1	2	3	0	1	1	0	7.8	"no"	"female"	"no"	12	0.755	"no"	"yes"	"no"	"noreast"	"other"
5	0	5	0	0	0	4	0	7.1	"no"	"male"	"no"	10	1.0062	"no"	"yes"	"no"	"noreast"	"other"
9	1	0	0	0	0	3	1	7.3	"no"	"female"	"no"	12	2.1808	"no"	"yes"	"no"	"noreast"	"other"
38	39	2	1	0	3	2	0	7	"no"	"female"	"no"	10	0.4052	"no"	"yes"	"no"	"noreast"	"other"
10	3	1	0	1	2	2	0	7.6	"no"	"male"	"yes"	8	1.7414	"no"	"yes"	"no"	"noreast"	"other"
0	0	2	0	0	0	2	0	8.4	"no"	"female"	"yes"	8	1.7414	"no"	"yes"	"no"	"noreast"	"other"
16	0	0	0	0	1	1	0	7.8	"no"	"female"	"no"	12	0.5008	"no"	"yes"	"no"	"noreast"	"other"
7	1	0	0	0	1	1	0	7.9	"no"	"male"	"no"	12	2.4167	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	2	0	7.4	"no"	"male"	"no"	12	1.2996	"no"	"yes"	"no"	"noreast"	"other"
3	0	21	0	0	1	5	0	6.7	"no"	"male"	"yes"	12	6.8287	"no"	"no"	"no"	"midwest"	"poor"
20	0	1	46	0	0	5	1	7.5	"no"	"male"	"no"	8	0.732	"no"	"yes"	"no"	"midwest"	"other"
2	1	2	0	0	0	1	0	7.2	"no"	"female"	"no"	12	0.4502	"no"	"yes"	"no"	"midwest"	"excellent"
29	36	3	3	0	2	2	0	6.7	"no"	"female"	"yes"	12	2.4856	"no"	"yes"	"no"	"midwest"	"other"
6	0	1	1	0	0	0	0	7.8	"no"	"male"	"yes"	8	0.432	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	3	0	0	0	0	6.6	"no"	"male"	"yes"	8	3.4009	"no"	"yes"	"no"	"midwest"	"excellent"
10	23	2	0	0	0	0	0	7.7	"no"	"female"	"no"	9	0.7364	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	4	1	8.6	"no"	"male"	"yes"	8	3.2208	"no"	"yes"	"no"	"midwest"	"poor"
22	0	3	3	2	2	7	1	7.7	"no"	"female"	"yes"	10	3.2208	"no"	"yes"	"no"	"midwest"	"poor"
1	0	0	0	0	1	1	0	7.7	"no"	"male"	"no"	14	0.8676	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	12	0.6372	"no"	"yes"	"no"	"midwest"	"other"
3	0	2	6	0	0	1	0	6.8	"no"	"female"	"no"	8	0.791	"no"	"yes"	"no"	"midwest"	"other"
2	1	1	0	0	1	0	0	7.3	"no"	"male"	"yes"	12	2.25	"no"	"yes"	"no"	"midwest"	"other"
15	0	0	4	0	0	6	0	7.2	"no"	"female"	"yes"	13	2.25	"no"	"yes"	"no"	"midwest"	"other"
8	25	1	0	2	0	2	0	7.6	"no"	"female"	"no"	12	10.3064	"no"	"yes"	"no"	"midwest"	"other"
8	21	0	0	2	0	3	0	6.9	"no"	"female"	"no"	8	1.0968	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	1	8.1	"no"	"female"	"no"	16	0.8355	"no"	"yes"	"no"	"midwest"	"excellent"
14	1	0	0	0	0	2	0	7.3	"no"	"male"	"yes"	12	2.5332	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	5	0	1	0	0	7.7	"no"	"male"	"no"	12	2.7083	"yes"	"no"	"no"	"noreast"	"other"
15	0	1	9	0	1	0	0	7.3	"no"	"female"	"no"	12	2.7083	"no"	"yes"	"no"	"noreast"	"other"
7	2	0	1	0	0	0	0	6.9	"no"	"male"	"no"	12	1.5828	"no"	"yes"	"no"	"noreast"	"other"
5	0	2	0	1	1	1	1	8.1	"no"	"female"	"no"	9	0.5878	"no"	"no"	"yes"	"noreast"	"other"
6	0	0	0	0	0	4	1	7.9	"no"	"female"	"no"	9	0.5808	"no"	"no"	"yes"	"noreast"	"other"
12	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	1.6977	"no"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	1.6977	"yes"	"yes"	"no"	"noreast"	"other"
9	0	1	0	0	0	2	0	7.8	"no"	"male"	"yes"	18	2.5807	"no"	"yes"	"no"	"noreast"	"excellent"
4	1	0	0	0	0	2	0	7.5	"no"	"female"	"yes"	15	2.5807	"no"	"yes"	"no"	"noreast"	"excellent"
6	0	1	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	2.4068	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	2	2	2	0	7.5	"no"	"male"	"yes"	8	0.936	"no"	"no"	"no"	"noreast"	"other"
1	0	0	1	0	0	2	0	7.4	"no"	"female"	"yes"	8	0.936	"no"	"no"	"no"	"noreast"	"other"
6	0	0	0	0	0	3	1	8.8	"no"	"male"	"yes"	8	1.318	"no"	"yes"	"no"	"noreast"	"poor"
1	0	1	1	0	0	5	1	8.4	"no"	"female"	"yes"	5	1.318	"no"	"yes"	"no"	"noreast"	"other"
8	7	0	1	1	0	1	1	8.2	"no"	"female"	"no"	6	0.5806	"no"	"no"	"yes"	"noreast"	"other"
15	0	0	0	4	1	3	1	7.6	"no"	"female"	"no"	6	0.5748	"no"	"no"	"yes"	"noreast"	"other"
4	0	0	0	0	0	0	1	9	"no"	"female"	"no"	8	0.6012	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	0	0	7.6	"no"	"male"	"yes"	11	1.8952	"no"	"yes"	"no"	"noreast"	"other"
3	12	0	1	0	0	0	0	7.4	"no"	"female"	"yes"	11	1.8952	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	8.2	"no"	"male"	"yes"	8	3.9488	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	0	0	7.7	"no"	"female"	"yes"	8	3.9488	"no"	"yes"	"no"	"noreast"	"other"
4	8	0	0	0	0	3	0	8.5	"no"	"male"	"yes"	10	1.812	"no"	"yes"	"no"	"noreast"	"other"
6	5	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	12	1.812	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	8.5	"no"	"female"	"no"	9	0.5818	"no"	"no"	"yes"	"noreast"	"other"
4	0	0	0	0	0	2	0	6.8	"no"	"female"	"no"	15	0.8412	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	3	0	7	"no"	"female"	"yes"	6	1.5072	"no"	"yes"	"no"	"noreast"	"other"
11	0	2	2	1	0	1	1	7.8	"no"	"female"	"no"	2	0.5308	"no"	"yes"	"no"	"noreast"	"poor"
2	0	0	0	0	0	2	0	6.7	"no"	"female"	"no"	8	1.0305	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	2	2	0	1	0	7.1	"no"	"female"	"no"	12	0.7224	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.8	"no"	"male"	"no"	12	1.4188	"no"	"no"	"no"	"noreast"	"excellent"
0	0	0	0	1	0	1	0	6.7	"no"	"male"	"yes"	12	3.8887	"no"	"yes"	"no"	"noreast"	"other"
7	0	2	0	0	2	1	0	7.1	"no"	"male"	"no"	12	1.0464	"no"	"yes"	"no"	"noreast"	"poor"
28	0	0	1	0	0	0	0	7.5	"no"	"female"	"no"	15	2.9132	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	16	6.8436	"no"	"yes"	"no"	"noreast"	"other"
1	4	0	1	0	0	0	0	6.9	"no"	"female"	"yes"	12	6.8436	"no"	"yes"	"no"	"noreast"	"other"
10	0	1	2	0	1	3	0	7.7	"no"	"male"	"no"	11	1.3976	"no"	"yes"	"no"	"noreast"	"other"
6	13	1	1	0	0	3	0	7.2	"no"	"male"	"yes"	8	2.3343	"no"	"yes"	"no"	"noreast"	"other"
6	12	0	0	1	0	1	0	7	"no"	"female"	"yes"	12	2.3343	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	3.6756	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.2	"no"	"male"	"no"	10	3.412	"no"	"no"	"no"	"noreast"	"other"
4	0	5	0	0	0	0	0	8	"no"	"male"	"yes"	14	1.8327	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	3	0	7.9	"no"	"female"	"yes"	13	1.8327	"no"	"yes"	"no"	"noreast"	"poor"
5	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	7	1.146	"yes"	"no"	"no"	"noreast"	"other"
11	6	0	1	4	3	2	0	6.6	"no"	"male"	"no"	12	3.7897	"no"	"yes"	"no"	"noreast"	"other"
5	0	1	0	5	2	5	1	9.5	"no"	"male"	"no"	3	2.2978	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	8	0.8686	"no"	"no"	"no"	"noreast"	"excellent"
0	1	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	11	2.1688	"no"	"yes"	"no"	"noreast"	"other"
14	4	1	1	0	1	3	1	7.5	"no"	"female"	"yes"	8	2.1688	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	0	0	0	0	0	6.6	"no"	"male"	"yes"	16	7.8424	"yes"	"yes"	"no"	"noreast"	"other"
5	1	0	0	0	0	2	1	7.3	"no"	"female"	"no"	11	0.8268	"no"	"yes"	"no"	"noreast"	"other"
4	1	0	2	0	0	1	0	7.4	"no"	"male"	"yes"	13	0.9684	"no"	"yes"	"no"	"noreast"	"other"
2	0	2	0	0	0	0	1	8.1	"no"	"male"	"no"	5	0.9296	"no"	"no"	"no"	"noreast"	"other"
13	0	0	1	1	0	2	1	7.1	"no"	"female"	"no"	12	0.6624	"no"	"yes"	"no"	"noreast"	"other"
14	3	0	3	0	0	1	0	6.6	"no"	"male"	"yes"	11	1.9927	"no"	"yes"	"no"	"noreast"	"other"
8	9	1	0	1	0	1	1	8.3	"no"	"female"	"no"	16	1.5671	"no"	"yes"	"no"	"noreast"	"other"
14	3	3	1	0	1	3	1	7.6	"no"	"female"	"no"	11	1.9789	"no"	"no"	"yes"	"noreast"	"poor"
2	0	0	1	1	1	0	0	7	"no"	"female"	"no"	12	1.2684	"yes"	"yes"	"no"	"noreast"	"excellent"
13	0	0	2	0	0	3	0	6.6	"no"	"female"	"yes"	14	1.3324	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	2	2	5	1	7.3	"no"	"female"	"no"	12	1.494	"no"	"yes"	"no"	"noreast"	"poor"
4	0	0	0	0	0	3	0	8.1	"no"	"female"	"no"	7	3.93	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	7	"no"	"female"	"no"	12	4.59	"no"	"no"	"no"	"noreast"	"other"
5	2	0	0	0	0	2	0	9	"no"	"male"	"no"	6	1.5305	"no"	"yes"	"no"	"noreast"	"other"
7	0	1	0	0	0	2	0	7.7	"no"	"male"	"yes"	12	1.5924	"no"	"yes"	"no"	"noreast"	"other"
7	5	0	1	0	0	0	1	7.5	"no"	"female"	"yes"	12	1.5924	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	8	3.059	"no"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	0	0	7.8	"no"	"female"	"yes"	6	4.7979	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	0	0	0	1	0	8.2	"no"	"male"	"yes"	8	4.7979	"no"	"yes"	"no"	"noreast"	"poor"
7	12	0	0	1	1	2	0	7.2	"no"	"female"	"yes"	12	3.0374	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	18	9.8	"no"	"yes"	"no"	"noreast"	"other"
17	0	0	0	0	2	5	0	7	"no"	"male"	"no"	16	2.2048	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	1	6.6	"yes"	"female"	"no"	7	0.5556	"no"	"no"	"no"	"noreast"	"other"
1	0	11	1	0	0	4	0	7	"yes"	"male"	"yes"	14	8.7686	"no"	"yes"	"no"	"noreast"	"other"
9	21	0	1	1	0	1	0	6.6	"yes"	"female"	"yes"	12	8.7686	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	3	0	6.9	"no"	"male"	"yes"	16	4.3666	"no"	"yes"	"no"	"noreast"	"other"
3	1	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	4.3666	"no"	"yes"	"no"	"noreast"	"other"
11	0	0	0	0	0	1	0	7.4	"no"	"female"	"no"	12	0.767	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	1	3	0	8.5	"no"	"female"	"no"	12	16.6289	"no"	"no"	"yes"	"noreast"	"other"
0	0	0	0	1	0	0	0	6.6	"no"	"male"	"yes"	12	1.0695	"no"	"yes"	"no"	"noreast"	"excellent"
1	1	0	0	0	0	1	0	8.4	"no"	"female"	"no"	7	0.612	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	8	2.7	"yes"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	3	0	9.2	"no"	"male"	"yes"	15	7.2471	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	8.5	"no"	"female"	"yes"	11	7.2471	"no"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	1	1	7.5	"no"	"female"	"no"	12	1.674542	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	1	0	2	0	7.2	"yes"	"female"	"no"	8	6.2928	"no"	"no"	"no"	"noreast"	"other"
15	0	2	0	0	1	2	1	7.4	"no"	"female"	"no"	12	11.7919	"no"	"yes"	"no"	"other"	"poor"
8	1	0	0	0	0	1	0	7.9	"no"	"female"	"no"	8	1.2192	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	1	0	1	8.6	"no"	"male"	"yes"	12	4.44305	"no"	"no"	"no"	"other"	"poor"
1	0	0	0	0	0	1	0	7.9	"no"	"female"	"yes"	12	4.44305	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	5.0544	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	0	0	7.2	"yes"	"male"	"yes"	5	4.273	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"yes"	"female"	"yes"	0	4.273	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	2	1	2	0	7.1	"yes"	"male"	"no"	3	0.4416	"no"	"no"	"yes"	"other"	"poor"
0	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	11	6.352	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	10	6.352	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	1	8.2	"no"	"male"	"yes"	0	1.5737	"no"	"yes"	"no"	"other"	"other"
5	1	1	0	0	0	1	0	8	"no"	"female"	"yes"	8	1.5737	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	11	2.1	"yes"	"yes"	"no"	"other"	"excellent"
3	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	16	3.3237	"no"	"yes"	"no"	"other"	"other"
4	1	0	1	0	0	0	0	7.1	"no"	"female"	"no"	12	1.4031	"no"	"no"	"no"	"other"	"other"
11	2	1	0	0	0	1	0	6.7	"no"	"male"	"yes"	8	6.9988	"yes"	"yes"	"no"	"other"	"other"
5	6	0	0	0	0	2	0	7.2	"yes"	"female"	"no"	16	3.9652	"no"	"yes"	"no"	"noreast"	"other"
12	0	0	0	0	0	3	1	7.5	"no"	"female"	"no"	10	0.9033	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	2	0	1	0	7	"no"	"male"	"no"	12	0.42	"no"	"no"	"yes"	"noreast"	"other"
6	1	1	1	0	0	1	0	7.7	"no"	"female"	"no"	12	1.514	"no"	"yes"	"no"	"noreast"	"other"
5	2	0	0	1	2	3	0	7.3	"no"	"male"	"yes"	13	2.422	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	15	2.422	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	2	0	7.8	"no"	"female"	"no"	14	5.2036	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	13	1.8652	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	0	0	0	2	0	8.2	"no"	"female"	"no"	7	3.305	"no"	"yes"	"no"	"noreast"	"other"
11	0	0	0	0	0	3	1	7.2	"no"	"male"	"yes"	14	3.0584	"no"	"yes"	"no"	"noreast"	"poor"
4	0	1	0	0	0	1	0	6.9	"no"	"female"	"yes"	13	3.0584	"no"	"yes"	"no"	"noreast"	"excellent"
0	0	0	0	0	0	0	0	7	"no"	"female"	"no"	8	8.5675	"yes"	"yes"	"no"	"noreast"	"excellent"
8	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	10	0	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	12	2.041	"no"	"yes"	"no"	"noreast"	"other"
5	1	0	2	1	0	1	0	6.8	"no"	"female"	"yes"	12	2.041	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	1	0	7.5	"no"	"female"	"no"	12	1.2023	"no"	"yes"	"no"	"noreast"	"other"
0	0	1	0	0	0	1	0	6.9	"no"	"male"	"no"	14	1.8728	"no"	"yes"	"no"	"noreast"	"excellent"
4	0	0	0	0	0	5	0	6.9	"no"	"male"	"yes"	13	7.4932	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	13	7.4932	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	11	1.1268	"no"	"no"	"no"	"noreast"	"other"
8	2	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	11	2.3664	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	16	10.2997	"yes"	"no"	"no"	"midwest"	"excellent"
1	2	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	16	10.2997	"yes"	"yes"	"no"	"midwest"	"excellent"
9	1	0	0	0	0	1	0	8.4	"no"	"female"	"no"	14	1.2009	"no"	"yes"	"no"	"midwest"	"other"
8	1	1	0	3	4	3	1	7.6	"no"	"female"	"no"	9	1.8956	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	2	0	7.5	"no"	"female"	"no"	11	2.8876	"no"	"yes"	"no"	"midwest"	"poor"
2	1	0	0	0	0	1	0	7	"no"	"male"	"yes"	18	6.7004	"yes"	"yes"	"no"	"midwest"	"excellent"
2	1	0	0	0	0	1	0	8	"no"	"male"	"yes"	10	4.1193	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	1	0	0	0	0	7.6	"no"	"female"	"yes"	12	4.1193	"no"	"yes"	"no"	"midwest"	"other"
10	0	1	0	1	2	4	0	7.3	"no"	"female"	"no"	8	2.0464	"no"	"yes"	"no"	"midwest"	"other"
3	16	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	8	4.4142	"yes"	"no"	"no"	"midwest"	"other"
10	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	4.4142	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	6.9	"no"	"male"	"no"	12	1.633	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	1	1	1	1	8.5	"no"	"male"	"no"	8	3.4704	"no"	"yes"	"no"	"midwest"	"poor"
0	0	35	0	3	1	1	0	7.8	"no"	"female"	"no"	8	0.4548	"no"	"no"	"yes"	"midwest"	"other"
9	0	1	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	4.4461	"no"	"yes"	"no"	"midwest"	"other"
1	0	16	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	2.2196	"no"	"yes"	"no"	"midwest"	"other"
9	2	1	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	2.2196	"no"	"yes"	"no"	"midwest"	"other"
21	0	0	0	2	3	4	0	6.7	"no"	"female"	"no"	12	5.5662	"yes"	"yes"	"no"	"midwest"	"poor"
3	0	0	0	1	0	1	0	8.2	"yes"	"female"	"no"	8	0.4916	"no"	"yes"	"no"	"midwest"	"other"
1	18	0	0	0	0	1	0	6.6	"no"	"female"	"no"	17	0.918	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	16	7.108	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	7.2	"no"	"male"	"no"	12	7.808	"no"	"yes"	"no"	"other"	"other"
11	0	1	0	0	1	0	0	6.9	"no"	"male"	"yes"	9	1.9872	"no"	"yes"	"no"	"other"	"other"
4	0	1	2	0	0	1	0	6.7	"no"	"female"	"yes"	12	1.9872	"no"	"yes"	"no"	"other"	"other"
48	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	18	6.5726	"no"	"yes"	"no"	"other"	"other"
2	0	0	1	0	0	1	0	6.6	"no"	"female"	"yes"	17	6.5726	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	5	0	7.5	"no"	"male"	"yes"	5	1.238	"no"	"yes"	"no"	"other"	"poor"
2	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	11	1.3857	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	3	0	6.6	"no"	"female"	"yes"	6	1.3857	"no"	"yes"	"no"	"other"	"other"
5	0	2	0	0	0	1	0	7	"yes"	"male"	"yes"	10	2.0858	"no"	"yes"	"no"	"other"	"other"
1	1	3	0	0	0	1	0	6.7	"yes"	"female"	"yes"	11	2.0858	"no"	"yes"	"no"	"other"	"other"
0	0	2	0	0	0	1	0	6.8	"yes"	"male"	"no"	15	1.278	"no"	"yes"	"no"	"other"	"other"
0	0	55	39	0	0	2	0	6.7	"yes"	"male"	"yes"	12	3.4535	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	1	0	1	0	7.1	"no"	"male"	"yes"	0	2.2533	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	7.3	"no"	"female"	"no"	7	0.456	"no"	"yes"	"no"	"other"	"other"
0	2	0	0	0	0	0	0	7.3	"no"	"female"	"no"	9	2.1864	"no"	"yes"	"no"	"other"	"excellent"
3	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	4.3394	"no"	"yes"	"no"	"other"	"other"
5	1	0	1	0	0	2	0	7.5	"no"	"female"	"no"	9	2.6668	"no"	"yes"	"no"	"other"	"excellent"
1	0	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	18	4.752	"yes"	"yes"	"no"	"other"	"other"
5	0	1	1	0	0	4	0	6.7	"no"	"female"	"yes"	12	4.752	"no"	"yes"	"no"	"other"	"other"
4	3	0	0	0	0	2	0	7.5	"no"	"female"	"no"	9	2.6528	"yes"	"yes"	"no"	"other"	"other"
5	0	8	0	0	0	2	0	7.2	"no"	"male"	"yes"	8	2.4754	"no"	"yes"	"no"	"other"	"other"
6	12	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	10	2.4754	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	0	0.7824	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	12	1.5066	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	1.5066	"no"	"yes"	"no"	"other"	"other"
0	0	1	0	0	0	1	0	7.6	"no"	"female"	"no"	0	1.5499	"yes"	"no"	"no"	"other"	"other"
13	0	0	0	0	0	1	1	7.1	"no"	"female"	"no"	0	0.408	"no"	"no"	"yes"	"other"	"poor"
1	0	0	0	0	0	0	1	9.4	"no"	"female"	"no"	0	0.396	"no"	"no"	"no"	"other"	"excellent"
7	0	0	0	0	0	5	1	7.7	"no"	"female"	"no"	0	0.432	"no"	"no"	"yes"	"other"	"poor"
4	0	0	1	0	0	2	1	9.4	"no"	"male"	"no"	1	0.7436	"no"	"no"	"yes"	"other"	"other"
8	0	0	0	0	0	1	0	8.1	"no"	"female"	"no"	5	4.3008	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	1	0	2	0	7.3	"no"	"female"	"no"	5	0.48	"no"	"yes"	"no"	"other"	"other"
5	0	1	0	0	0	2	0	8	"no"	"female"	"no"	2	0.8664	"no"	"no"	"yes"	"other"	"other"
5	1	0	0	0	0	0	0	7	"no"	"female"	"no"	11	0.7092	"yes"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	1	1	7.2	"no"	"female"	"no"	9	0.288	"no"	"no"	"yes"	"other"	"other"
2	2	0	0	0	0	3	0	7.6	"no"	"female"	"yes"	12	1.8336	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	3	1.1338	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	1	1	0	6.6	"no"	"male"	"yes"	12	1.0812	"no"	"no"	"no"	"other"	"other"
4	0	0	0	1	0	1	0	7.1	"no"	"male"	"yes"	12	2.2258	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.7	"no"	"male"	"no"	0	3.4264	"no"	"no"	"yes"	"other"	"other"
9	0	0	0	0	0	5	0	6.8	"no"	"male"	"yes"	12	7.979	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	7.1	"no"	"male"	"no"	12	1.4508	"no"	"yes"	"no"	"other"	"other"
22	2	1	0	0	0	3	0	7.2	"no"	"male"	"yes"	14	2.268	"no"	"no"	"no"	"other"	"other"
5	0	1	0	1	0	0	0	7.2	"no"	"female"	"yes"	12	2.268	"no"	"no"	"no"	"other"	"other"
11	1	2	0	2	0	4	0	6.9	"no"	"male"	"no"	10	2.7668	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	1	1	2	0	8	"no"	"male"	"yes"	0	1.0224	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	9	1.4536	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	3	1	7.2	"no"	"female"	"yes"	12	1.4536	"no"	"yes"	"no"	"other"	"other"
1	0	1	0	0	0	1	0	7.7	"no"	"male"	"yes"	8	1.6014	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	1.6014	"no"	"yes"	"no"	"other"	"other"
1	1	0	0	0	0	3	0	7.4	"no"	"male"	"yes"	16	2.3714	"no"	"yes"	"no"	"other"	"other"
9	0	0	1	1	0	3	0	6.8	"no"	"female"	"yes"	12	2.3714	"no"	"yes"	"no"	"other"	"other"
21	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	13	3.0873	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	13	3.0873	"no"	"yes"	"no"	"other"	"other"
14	0	0	0	1	1	4	0	7.1	"no"	"male"	"yes"	13	9.2566	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	17	9.2566	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	16	1.3388	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	4	0	7.3	"no"	"female"	"yes"	14	1.3388	"no"	"yes"	"no"	"other"	"other"
5	0	1	0	0	0	0	0	6.7	"no"	"male"	"yes"	9	2.7131	"no"	"yes"	"no"	"other"	"other"
7	1	0	1	0	0	5	0	8	"no"	"female"	"no"	14	0.846	"no"	"yes"	"no"	"other"	"poor"
5	1	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	15	4.3425	"no"	"yes"	"no"	"other"	"other"
2	1	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	9	4.3425	"no"	"yes"	"no"	"other"	"other"
6	0	1	0	0	0	3	0	6.6	"no"	"male"	"yes"	18	2.7859	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	7.9	"no"	"male"	"yes"	16	6.7264	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.9	"no"	"female"	"yes"	16	6.7264	"no"	"yes"	"no"	"other"	"excellent"
6	0	0	0	0	0	4	0	7.1	"no"	"male"	"yes"	7	2.8084	"no"	"yes"	"no"	"other"	"other"
9	0	0	0	0	0	1	0	7.9	"no"	"female"	"no"	9	2.8084	"yes"	"yes"	"no"	"other"	"excellent"
5	0	0	0	0	0	4	1	7.8	"no"	"female"	"no"	14	4.6896	"no"	"yes"	"no"	"other"	"poor"
8	0	0	2	0	0	2	0	7.4	"no"	"female"	"no"	8	0.7151	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	0	0	7.4	"yes"	"female"	"no"	12	0.468	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	8.1	"yes"	"male"	"yes"	9	1.3346	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.4	"yes"	"female"	"yes"	5	1.3346	"no"	"yes"	"no"	"other"	"other"
10	0	0	2	0	0	3	0	6.7	"yes"	"female"	"no"	9	0.4308	"no"	"yes"	"yes"	"other"	"other"
42	1	1	0	0	1	3	0	7.9	"yes"	"female"	"no"	3	1.4246	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	6.8	"yes"	"male"	"yes"	11	2.1996	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	6.8	"yes"	"female"	"yes"	9	2.1996	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.6	"yes"	"female"	"no"	6	0.3456	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	1	0	8.2	"yes"	"male"	"yes"	12	2.2092	"no"	"yes"	"no"	"other"	"other"
10	1	0	1	0	0	0	0	8.2	"yes"	"female"	"yes"	17	2.2092	"no"	"yes"	"no"	"other"	"other"
2	3	0	0	0	0	2	0	7.5	"yes"	"female"	"no"	7	0.81429	"no"	"yes"	"no"	"other"	"excellent"
2	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	9	1.9854	"no"	"no"	"no"	"other"	"other"
5	1	0	0	0	0	2	0	7.8	"no"	"male"	"yes"	13	1.1988	"yes"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	2	1	7.4	"no"	"female"	"yes"	12	1.1988	"no"	"no"	"no"	"other"	"poor"
3	0	2	0	0	0	3	1	6.6	"no"	"male"	"yes"	11	0.7428	"no"	"no"	"no"	"other"	"other"
8	2	1	0	1	1	2	0	7.3	"no"	"male"	"yes"	11	1.8444	"no"	"yes"	"no"	"other"	"other"
5	0	1	1	0	0	0	0	6.8	"no"	"female"	"yes"	12	1.8444	"no"	"yes"	"no"	"other"	"other"
9	6	0	0	0	1	4	0	7.1	"no"	"female"	"no"	12	0.8365	"no"	"yes"	"no"	"other"	"other"
6	1	0	0	0	0	3	0	6.7	"no"	"male"	"yes"	12	2.4793	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	1	7.8	"no"	"male"	"yes"	8	0.6216	"no"	"yes"	"yes"	"other"	"other"
9	0	2	0	0	0	3	1	7	"no"	"female"	"yes"	7	0.6216	"no"	"yes"	"yes"	"other"	"other"
7	0	0	0	0	0	3	0	7.3	"no"	"male"	"yes"	12	1.4848	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	7.9	"no"	"female"	"no"	4	0.4236	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	0	0	4	1	7.2	"no"	"female"	"yes"	12	2.6	"no"	"yes"	"no"	"other"	"poor"
6	0	1	0	0	5	3	0	7.4	"no"	"male"	"yes"	12	2.2874	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	1	7.4	"no"	"female"	"no"	3	0.4476	"no"	"no"	"no"	"other"	"other"
1	1	0	0	2	0	1	0	7.6	"no"	"female"	"no"	14	1.2425	"no"	"yes"	"no"	"other"	"other"
4	0	0	1	0	0	1	0	7	"no"	"female"	"no"	16	2.8546	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	8.5	"no"	"female"	"no"	16	0.4584	"no"	"yes"	"yes"	"other"	"other"
1	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	13	0.3108	"no"	"no"	"no"	"other"	"excellent"
8	5	0	1	0	0	3	0	7.5	"no"	"female"	"yes"	7	1.491167	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	4	1	7.7	"no"	"female"	"no"	7	0.48	"no"	"no"	"no"	"other"	"other"
3	2	0	0	0	0	1	1	7.7	"no"	"male"	"yes"	18	5.356	"no"	"yes"	"no"	"other"	"excellent"
1	1	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	17	5.356	"no"	"yes"	"no"	"other"	"excellent"
8	1	0	0	0	0	2	0	7.3	"no"	"female"	"no"	6	0.8612	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	1	0	0	0	8.1	"yes"	"female"	"no"	10	0.3748	"no"	"yes"	"no"	"other"	"other"
9	0	21	0	1	2	2	0	7.4	"no"	"female"	"no"	10	1.097	"no"	"yes"	"no"	"other"	"poor"
4	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	14	6.6337	"yes"	"yes"	"no"	"other"	"excellent"
2	0	4	0	0	0	1	0	7.9	"no"	"male"	"yes"	12	4.4187	"no"	"yes"	"no"	"midwest"	"other"
15	2	1	2	0	0	1	0	7.7	"no"	"female"	"yes"	12	4.4187	"no"	"yes"	"no"	"midwest"	"other"
3	7	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	12	2.788	"yes"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	2.788	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	8	2.7588	"no"	"yes"	"no"	"midwest"	"excellent"
2	0	0	0	0	0	1	0	8.6	"no"	"male"	"yes"	12	1.14	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	1	7.8	"no"	"female"	"yes"	12	1.14	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	0	0	0	7.7	"no"	"male"	"yes"	0	1.552115	"no"	"no"	"no"	"midwest"	"other"
0	0	1	0	1	1	0	0	6.9	"no"	"female"	"yes"	6	1.552115	"no"	"yes"	"no"	"midwest"	"other"
0	0	1	0	0	0	1	0	6.8	"no"	"male"	"yes"	8	0.7896	"no"	"no"	"no"	"midwest"	"other"
5	1	0	0	1	0	4	0	7	"no"	"female"	"no"	12	6.3908	"no"	"yes"	"no"	"midwest"	"poor"
7	0	0	0	1	0	1	0	7.5	"no"	"male"	"yes"	12	1.7619	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	0	1	2	0	7.4	"no"	"female"	"yes"	12	1.7619	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	2	1	10.2	"no"	"male"	"no"	8	1.7619	"no"	"yes"	"no"	"midwest"	"excellent"
1	0	0	0	0	0	1	1	7.1	"no"	"female"	"no"	12	0.408	"no"	"no"	"yes"	"midwest"	"other"
5	4	0	2	0	0	1	0	8.1	"no"	"female"	"no"	12	0.4544	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	10	0.72	"yes"	"yes"	"no"	"midwest"	"other"
7	6	2	0	0	0	3	0	7	"no"	"male"	"yes"	9	2.0272	"no"	"yes"	"no"	"midwest"	"other"
16	0	0	0	1	1	2	0	8.3	"no"	"female"	"no"	7	0.4332	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	1	0	7.5	"no"	"female"	"no"	12	1.002	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	1	1	1	1	0	7.5	"no"	"male"	"yes"	8	1.0872	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	1	0	0	1	0	6.8	"no"	"female"	"yes"	10	1.0872	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	0	0	0	8.4	"no"	"female"	"no"	8	1.047	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	1	0	0	0	6.7	"no"	"female"	"no"	8	0.9778	"no"	"yes"	"no"	"midwest"	"other"
11	0	0	0	0	0	2	0	7.8	"no"	"female"	"no"	8	0.51	"no"	"yes"	"no"	"midwest"	"other"
6	0	1	0	0	0	2	0	6.7	"no"	"male"	"yes"	8	0.8536	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	12	0.7116	"no"	"yes"	"no"	"midwest"	"excellent"
6	1	1	0	1	0	2	0	7.1	"no"	"male"	"yes"	14	5.4569	"yes"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	8	3.577	"yes"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	8	0	7.6	"no"	"male"	"yes"	11	1.2796	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	0	0	3	0	7.2	"no"	"female"	"yes"	8	1.2796	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	9	3.6425	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	12	3.6425	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	16	1.2764	"no"	"yes"	"no"	"midwest"	"other"
12	7	0	0	0	0	2	0	7.3	"no"	"male"	"yes"	12	1.1906	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	0	1	2	0	7.3	"no"	"female"	"yes"	8	1.1906	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	2	0	7.8	"no"	"male"	"yes"	12	1.495	"no"	"yes"	"no"	"midwest"	"other"
10	0	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	12	1.495	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	7.7	"no"	"male"	"yes"	12	3.4765	"yes"	"yes"	"no"	"midwest"	"other"
1	2	0	0	0	0	1	0	7.8	"no"	"female"	"yes"	8	3.4765	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	12	2.0205	"no"	"yes"	"no"	"midwest"	"excellent"
19	2	1	0	2	2	0	0	9.1	"no"	"male"	"yes"	18	3.203	"no"	"yes"	"no"	"midwest"	"other"
11	0	2	0	0	0	0	0	7.6	"no"	"female"	"yes"	15	3.203	"yes"	"yes"	"no"	"midwest"	"other"
0	5	0	0	0	0	3	1	8.2	"no"	"female"	"no"	0	0.4836	"no"	"no"	"no"	"midwest"	"poor"
9	1	0	0	0	0	3	0	8	"no"	"female"	"no"	8	0.7248	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	1	7.8	"no"	"male"	"yes"	8	0.9335	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	5	1	7.7	"no"	"female"	"yes"	7	0.9335	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	8	1.7544	"no"	"yes"	"no"	"midwest"	"other"
10	1	0	0	0	0	1	0	8.1	"no"	"female"	"yes"	14	1.7544	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	1	1	8.3	"no"	"female"	"no"	7	0.7221	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	0.6649	"no"	"no"	"no"	"midwest"	"other"
11	1	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	0.705	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	8	1.014378	"no"	"no"	"no"	"midwest"	"other"
5	1	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	0.6252	"no"	"yes"	"no"	"midwest"	"other"
6	7	0	0	0	0	2	0	7.2	"no"	"female"	"no"	8	0.4496	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	0	3	0	8.2	"no"	"female"	"no"	12	1.5518	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	1	1	1	0	8.1	"no"	"male"	"yes"	12	4.0079	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	10	4.0079	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	8	"no"	"female"	"no"	8	0.5484	"no"	"yes"	"no"	"midwest"	"other"
6	2	1	0	0	0	2	1	7.1	"no"	"female"	"no"	12	0.6086	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	3.2757	"no"	"yes"	"no"	"midwest"	"other"
1	28	1	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	3.1936	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	1	0	0	0	7.1	"no"	"male"	"yes"	7	2.002	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	8	2.002	"no"	"yes"	"no"	"midwest"	"other"
3	2	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	8	2.513	"no"	"yes"	"no"	"midwest"	"other"
3	0	1	0	0	0	4	0	7.5	"no"	"male"	"no"	8	5.6306	"no"	"yes"	"no"	"midwest"	"other"
12	19	1	3	0	1	1	0	7.6	"no"	"female"	"no"	12	2.5211	"no"	"yes"	"no"	"midwest"	"other"
14	2	0	0	0	1	2	0	7.9	"no"	"female"	"no"	12	0.8801	"no"	"yes"	"no"	"midwest"	"other"
6	1	3	0	0	2	1	0	6.8	"no"	"female"	"yes"	12	2.5233	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	1	8.3	"no"	"male"	"no"	8	3.169	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	1	1	0	3	0	8.9	"no"	"male"	"no"	12	0.9396	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	2.654	"no"	"no"	"no"	"midwest"	"other"
20	11	8	17	1	7	2	0	7	"no"	"female"	"no"	12	0.915	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.3	"no"	"female"	"no"	12	1.3028	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	3	0	7.4	"no"	"male"	"no"	10	1.3979	"no"	"yes"	"no"	"midwest"	"other"
11	0	1	0	0	0	0	0	6.9	"no"	"male"	"yes"	6	4.347	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	1	0	0	1	0	7	"no"	"female"	"yes"	12	4.347	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	3	0	1	0	0	7	"no"	"female"	"no"	12	0.6434	"no"	"yes"	"no"	"midwest"	"other"
12	4	0	0	0	0	2	0	7.5	"no"	"male"	"no"	14	1.5144	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	1	9.8	"no"	"male"	"no"	8	0.3168	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	1	1	2	1	8.1	"no"	"female"	"no"	14	0.54	"no"	"yes"	"yes"	"midwest"	"poor"
2	18	0	0	0	0	2	0	7.4	"no"	"male"	"yes"	15	1.6028	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	11	1.6028	"no"	"yes"	"no"	"midwest"	"other"
16	0	0	0	0	0	2	0	7.9	"no"	"female"	"no"	14	2.581	"no"	"yes"	"no"	"midwest"	"other"
1	7	0	0	0	0	0	0	8.5	"no"	"female"	"no"	12	1.3606	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	12	6.1067	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	1	1	2	0	7	"no"	"female"	"yes"	12	6.1067	"yes"	"yes"	"no"	"midwest"	"other"
8	2	3	0	0	0	1	0	7.8	"no"	"female"	"no"	12	0.5303	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	15	2.3121	"yes"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.7	"no"	"male"	"no"	7	2.5214	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	3	0	7.5	"no"	"female"	"no"	12	0.5532	"no"	"yes"	"no"	"midwest"	"other"
6	0	1	0	1	1	2	1	6.7	"no"	"female"	"no"	10	1.0242	"yes"	"yes"	"no"	"midwest"	"other"
3	7	1	18	0	0	3	0	6.6	"no"	"female"	"no"	16	1.0469	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	2	0	7.4	"no"	"male"	"yes"	12	2.7652	"yes"	"yes"	"no"	"midwest"	"other"
0	14	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	2.7652	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	0	0	0	1	0	7.7	"no"	"female"	"no"	12	1.9828	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	1	1	1	1	7.6	"no"	"female"	"no"	12	2.4354	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	1	3	0	8.3	"no"	"male"	"yes"	8	1.4188	"no"	"yes"	"no"	"midwest"	"poor"
4	0	0	0	0	0	1	0	8.1	"no"	"female"	"yes"	8	1.4188	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	1	7.7	"no"	"male"	"no"	3	0.7013	"no"	"yes"	"no"	"midwest"	"other"
16	2	2	1	0	0	2	0	7.6	"no"	"female"	"no"	11	1.0517	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	0	0	2	0	7.9	"no"	"male"	"yes"	16	3.287	"no"	"yes"	"no"	"midwest"	"other"
12	3	0	0	1	1	1	0	7.7	"no"	"female"	"yes"	15	3.287	"no"	"yes"	"no"	"midwest"	"other"
3	3	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	0.807325	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	1	1	1	0	7.1	"no"	"male"	"yes"	12	6.0074	"yes"	"yes"	"no"	"midwest"	"other"
4	7	0	0	0	0	2	0	8.2	"no"	"female"	"no"	11	0.6492	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	1	1	1	5	1	6.9	"no"	"female"	"no"	12	0.5904	"no"	"yes"	"yes"	"noreast"	"poor"
1	2	0	0	1	0	0	0	6.6	"no"	"female"	"no"	14	0.5148	"no"	"no"	"yes"	"noreast"	"other"
1	0	6	0	0	0	4	0	7.3	"no"	"female"	"no"	8	0.5183	"no"	"no"	"yes"	"noreast"	"other"
1	0	1	0	1	0	3	1	7.2	"no"	"female"	"no"	0	0.750871	"no"	"no"	"yes"	"noreast"	"other"
0	0	2	0	1	0	3	0	7	"yes"	"male"	"yes"	12	0.8731	"no"	"yes"	"no"	"noreast"	"other"
8	0	33	1	0	2	3	1	7.3	"yes"	"female"	"no"	8	0.5183	"no"	"no"	"yes"	"noreast"	"other"
0	0	5	0	0	0	4	1	7	"no"	"female"	"no"	12	0.4991	"no"	"no"	"yes"	"noreast"	"other"
7	0	2	0	0	0	1	0	6.7	"no"	"female"	"no"	10	0.7548	"no"	"yes"	"yes"	"noreast"	"excellent"
5	0	2	0	1	0	2	0	8.2	"no"	"female"	"no"	7	0.5183	"no"	"yes"	"yes"	"noreast"	"other"
5	0	0	0	0	0	1	0	7.6	"yes"	"female"	"no"	9	0.5172	"no"	"no"	"yes"	"noreast"	"other"
8	1	0	0	0	0	3	0	8.2	"no"	"female"	"yes"	8	1.0016	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	0	1	8.9	"no"	"male"	"yes"	8	1.0016	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	12	1.5109	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	0	0	0	2	0	7.1	"no"	"male"	"no"	12	0.944	"yes"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"no"	9	3.3664	"no"	"no"	"yes"	"noreast"	"other"
8	4	0	0	1	1	1	1	7.8	"no"	"female"	"no"	8	3.3664	"no"	"no"	"no"	"noreast"	"other"
7	2	0	0	0	0	2	0	7.3	"no"	"female"	"yes"	12	3.7752	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	1	1	3	0	7.5	"no"	"male"	"yes"	14	3.7752	"no"	"yes"	"no"	"noreast"	"other"
1	0	4	0	0	0	2	0	7.3	"no"	"female"	"no"	12	0.516	"no"	"no"	"yes"	"noreast"	"other"
2	0	0	0	0	0	1	0	8.4	"no"	"female"	"no"	6	0.9404	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	1	0	0	2	0	7.1	"no"	"female"	"no"	11	0.5586	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.9	"no"	"female"	"no"	10	0.654	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	9	0.9768	"no"	"yes"	"no"	"noreast"	"other"
1	0	7	0	1	0	2	0	6.7	"no"	"male"	"yes"	5	0.9768	"no"	"yes"	"no"	"noreast"	"other"
10	0	1	0	0	0	1	0	7.7	"no"	"female"	"no"	8	0.4968	"no"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	11	3.3286	"no"	"yes"	"no"	"noreast"	"excellent"
3	0	0	1	0	0	2	0	6.8	"no"	"female"	"yes"	12	3.3286	"no"	"yes"	"no"	"noreast"	"other"
5	3	0	0	1	0	2	0	7.1	"no"	"female"	"yes"	13	13.8005	"no"	"yes"	"no"	"noreast"	"other"
9	4	1	1	0	0	4	0	7	"no"	"male"	"yes"	11	13.8005	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	1	0	0	0	1	7.2	"yes"	"female"	"yes"	8	4.6475	"no"	"yes"	"no"	"noreast"	"other"
8	6	0	0	0	1	5	1	7.8	"no"	"female"	"no"	12	1.0075	"no"	"yes"	"no"	"noreast"	"poor"
3	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	16	18.6621	"yes"	"yes"	"no"	"noreast"	"excellent"
5	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	13	18.6621	"no"	"yes"	"no"	"noreast"	"excellent"
10	0	0	0	0	1	5	0	6.8	"no"	"male"	"yes"	18	2.0801	"no"	"yes"	"no"	"noreast"	"other"
13	6	1	0	1	0	2	0	6.7	"no"	"female"	"yes"	12	2.0801	"no"	"yes"	"no"	"noreast"	"other"
1	8	0	0	0	0	1	0	7.2	"no"	"female"	"no"	14	1.235	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	11	1.4699	"no"	"yes"	"no"	"noreast"	"other"
5	1	1	1	0	0	3	1	6.7	"no"	"female"	"yes"	12	1.4699	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	1	1	1	8.5	"no"	"male"	"no"	9	1.4057	"no"	"yes"	"no"	"noreast"	"other"
0	1	0	0	0	0	0	0	6.9	"no"	"male"	"no"	11	1.5719	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	10	1.5719	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	1	1	0	0	6.9	"no"	"male"	"yes"	13	2.9488	"no"	"yes"	"no"	"noreast"	"excellent"
1	2	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	13	2.9488	"no"	"yes"	"no"	"noreast"	"excellent"
0	0	0	0	0	0	2	0	6.8	"no"	"male"	"yes"	13	2.7536	"no"	"yes"	"no"	"noreast"	"other"
22	0	0	0	1	0	0	1	9	"no"	"male"	"no"	0	0.5014	"no"	"no"	"no"	"noreast"	"poor"
2	1	0	0	0	0	2	0	7.3	"no"	"male"	"yes"	6	0.964	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	12	7.4519	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	2	0	6.7	"no"	"female"	"yes"	12	7.4519	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	8.7	"no"	"female"	"no"	0	3.6992	"no"	"no"	"no"	"noreast"	"excellent"
6	4	0	0	1	0	3	0	7.3	"no"	"male"	"yes"	16	2.9395	"yes"	"yes"	"no"	"noreast"	"other"
11	8	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	12	2.9395	"yes"	"yes"	"no"	"noreast"	"other"
0	0	0	0	3	3	3	0	8.6	"no"	"male"	"no"	7	6.9328	"no"	"no"	"no"	"noreast"	"poor"
15	11	2	0	0	0	1	0	7.4	"no"	"female"	"no"	18	3.676	"no"	"yes"	"no"	"noreast"	"other"
13	1	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	0.6011	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	11	0.8676	"no"	"no"	"no"	"noreast"	"other"
5	0	0	0	0	0	3	0	7.4	"no"	"male"	"yes"	12	8.5781	"yes"	"yes"	"no"	"noreast"	"other"
7	0	0	0	0	0	2	0	7.3	"no"	"female"	"yes"	9	8.5781	"no"	"no"	"no"	"noreast"	"other"
6	0	0	16	0	0	1	1	7	"no"	"female"	"no"	14	4.7462	"no"	"yes"	"no"	"noreast"	"other"
0	1	0	0	0	0	0	0	7.8	"no"	"female"	"no"	9	4.7042	"no"	"no"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	4.8394	"yes"	"yes"	"no"	"noreast"	"other"
4	0	0	0	1	0	0	0	8.3	"no"	"female"	"no"	8	4.8394	"no"	"yes"	"no"	"noreast"	"other"
6	1	4	1	0	0	0	0	7	"yes"	"male"	"yes"	15	4.9793	"yes"	"yes"	"no"	"noreast"	"other"
3	2	5	1	0	1	0	0	7	"yes"	"female"	"yes"	16	4.9793	"yes"	"yes"	"no"	"noreast"	"other"
6	1	1	1	0	0	1	1	7	"yes"	"female"	"no"	12	2.0247	"yes"	"yes"	"no"	"noreast"	"other"
8	7	0	0	0	0	3	0	6.8	"no"	"male"	"yes"	18	6.206	"yes"	"yes"	"no"	"noreast"	"other"
7	0	1	0	1	1	4	0	6.7	"no"	"male"	"yes"	14	4.2446	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	7.6	"no"	"male"	"yes"	15	4.1562	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	1	0	1	0	6.9	"no"	"female"	"no"	11	0.804	"no"	"yes"	"no"	"noreast"	"other"
2	2	0	0	0	0	2	0	7	"no"	"female"	"no"	8	2.1022	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	1	0	0	0	0	7.2	"no"	"male"	"yes"	8	0.9756	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	5	0	3	1	7.3	"no"	"female"	"no"	9	0.5376	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	1	8.7	"no"	"female"	"no"	7	0.0453	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	1	0	0	7	"no"	"male"	"no"	12	1.0617	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	8.1	"no"	"female"	"no"	8	3.2254	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	10	1.991	"yes"	"yes"	"no"	"noreast"	"other"
6	1	0	1	0	0	4	0	6.8	"no"	"male"	"yes"	14	4.2224	"no"	"yes"	"no"	"noreast"	"other"
11	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	2.3168	"no"	"yes"	"no"	"noreast"	"other"
3	0	1	3	0	0	5	0	7.3	"no"	"female"	"no"	9	1.2241	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.7	"no"	"female"	"no"	9	0.558	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	1	1	0	1	9	"no"	"female"	"no"	12	1.1388	"no"	"yes"	"no"	"west"	"other"
5	1	1	0	2	1	3	1	6.9	"no"	"male"	"no"	8	1.3882	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	16	2.3858	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	18	2.3858	"no"	"yes"	"no"	"west"	"excellent"
2	4	0	0	2	0	2	0	7.2	"no"	"male"	"yes"	13	3.176	"no"	"yes"	"no"	"west"	"other"
1	0	0	1	0	0	1	0	7.2	"no"	"female"	"yes"	12	3.176	"no"	"yes"	"no"	"west"	"other"
16	2	0	0	0	0	2	0	8.2	"no"	"female"	"no"	15	0.8749	"no"	"yes"	"no"	"west"	"other"
8	1	0	0	0	0	2	0	9.1	"no"	"female"	"no"	14	0.8547	"no"	"yes"	"no"	"west"	"other"
3	2	0	0	0	0	2	0	7.6	"no"	"female"	"no"	14	0.8994	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	0	0	3	0	7.5	"no"	"male"	"yes"	14	2.1937	"no"	"yes"	"no"	"west"	"other"
12	1	1	0	0	0	3	0	6.8	"no"	"female"	"yes"	17	2.1937	"no"	"yes"	"no"	"west"	"other"
5	0	1	0	0	0	0	0	6.6	"no"	"male"	"yes"	17	4.2366	"no"	"yes"	"no"	"west"	"excellent"
5	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	14	4.1274	"yes"	"yes"	"no"	"west"	"other"
10	0	0	0	0	0	5	0	7.7	"no"	"male"	"yes"	16	2.3268	"yes"	"yes"	"no"	"west"	"poor"
7	0	3	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	2.3268	"no"	"yes"	"no"	"west"	"poor"
7	0	0	0	0	0	3	0	7.1	"no"	"male"	"yes"	10	1.1112	"no"	"yes"	"no"	"west"	"poor"
1	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	9	1.1112	"no"	"no"	"no"	"west"	"other"
5	3	1	0	0	1	1	0	7	"no"	"male"	"yes"	12	4.7564	"yes"	"yes"	"no"	"west"	"other"
7	4	0	1	0	1	3	0	6.6	"no"	"female"	"yes"	13	4.7564	"no"	"yes"	"no"	"west"	"other"
3	5	16	1	0	0	3	1	6.6	"no"	"male"	"yes"	16	4.7862	"no"	"yes"	"no"	"west"	"other"
9	0	1	4	1	0	1	1	8.5	"no"	"female"	"no"	13	3.232	"no"	"no"	"yes"	"west"	"poor"
5	5	3	0	0	0	2	0	7.5	"no"	"male"	"yes"	12	1.1356	"no"	"yes"	"no"	"west"	"other"
1	6	0	0	0	0	3	0	7.4	"no"	"female"	"yes"	12	1.1356	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	1	4	1	8.1	"no"	"male"	"yes"	16	1.9381	"no"	"yes"	"no"	"west"	"poor"
4	0	0	0	0	2	5	1	7.7	"no"	"female"	"yes"	12	1.9381	"no"	"yes"	"no"	"west"	"poor"
0	0	0	0	0	0	0	0	7	"no"	"female"	"no"	14	2.7179	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	1	0	3	1	9.6	"no"	"female"	"no"	14	2.7179	"no"	"yes"	"no"	"west"	"poor"
9	0	0	1	0	0	4	1	7.5	"no"	"female"	"no"	14	0.7608	"no"	"yes"	"no"	"west"	"poor"
22	0	1	0	1	2	3	0	7.8	"no"	"female"	"no"	8	0.7464	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	2	1	7.5	"no"	"male"	"yes"	14	1.353	"no"	"yes"	"no"	"west"	"poor"
2	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	1.353	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	2	1	8.9	"no"	"male"	"yes"	8	10.705348	"no"	"yes"	"no"	"west"	"other"
3	4	0	1	0	0	0	0	7.2	"no"	"male"	"yes"	12	2.88	"no"	"yes"	"no"	"west"	"other"
2	2	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	12	2.88	"no"	"yes"	"no"	"west"	"other"
8	0	1	2	1	1	5	1	7.6	"no"	"female"	"no"	8	3.786	"no"	"yes"	"no"	"west"	"poor"
4	2	10	4	0	0	2	0	8.7	"no"	"female"	"no"	18	1.7838	"no"	"yes"	"no"	"west"	"other"
7	1	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	18	4.8589	"yes"	"yes"	"no"	"west"	"other"
14	3	0	0	0	0	2	1	8	"no"	"female"	"no"	12	0.6656	"no"	"yes"	"no"	"west"	"poor"
0	1	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	8	0.7154	"no"	"no"	"no"	"west"	"other"
0	0	2	0	1	0	1	0	6.6	"no"	"male"	"yes"	16	2.94	"no"	"yes"	"no"	"west"	"excellent"
1	1	0	0	0	0	1	0	7.5	"no"	"female"	"no"	12	2.9326	"no"	"yes"	"no"	"west"	"other"
6	2	1	0	0	0	1	0	7.1	"no"	"female"	"yes"	11	2.2456	"no"	"yes"	"no"	"west"	"excellent"
9	0	0	0	1	2	3	1	7.9	"no"	"male"	"yes"	10	2.2456	"no"	"yes"	"no"	"west"	"poor"
0	0	0	0	0	0	2	0	6.8	"no"	"male"	"yes"	10	2.038	"no"	"no"	"no"	"west"	"other"
1	0	0	0	0	0	4	0	6.9	"no"	"female"	"no"	14	0.9655	"no"	"yes"	"no"	"west"	"other"
7	0	0	41	0	1	2	1	8.2	"no"	"female"	"yes"	12	4.1576	"no"	"no"	"no"	"west"	"poor"
9	4	3	0	0	1	2	0	7.2	"no"	"female"	"no"	18	3.0111	"no"	"yes"	"no"	"noreast"	"other"
33	13	0	22	1	3	3	0	6.7	"yes"	"male"	"yes"	18	0.7991	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	1	7.9	"yes"	"female"	"no"	10	0.6972	"no"	"no"	"no"	"other"	"other"
0	0	0	0	1	0	1	0	8.3	"yes"	"male"	"no"	15	0.6972	"no"	"no"	"no"	"other"	"poor"
0	0	3	0	0	0	1	1	7.9	"yes"	"female"	"no"	7	2.9652	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	2	0	6.7	"no"	"male"	"yes"	7	2.6033	"no"	"yes"	"no"	"other"	"other"
12	0	0	18	1	0	2	1	8	"no"	"female"	"no"	10	1.7006	"no"	"yes"	"no"	"other"	"other"
0	0	10	2	0	0	1	0	6.7	"no"	"male"	"yes"	14	4.0393	"no"	"no"	"no"	"other"	"other"
0	0	5	6	0	0	0	0	6.7	"no"	"male"	"yes"	16	6.5377	"no"	"yes"	"no"	"other"	"other"
1	0	5	0	0	0	0	0	7.7	"no"	"male"	"yes"	18	5.3644	"no"	"yes"	"no"	"other"	"excellent"
2	0	3	0	0	0	1	0	7.5	"no"	"female"	"yes"	16	5.3644	"no"	"yes"	"no"	"other"	"excellent"
6	14	0	0	0	0	2	0	6.9	"no"	"female"	"no"	16	1.2581	"no"	"yes"	"no"	"other"	"excellent"
0	0	6	0	1	1	3	0	6.8	"no"	"male"	"yes"	18	8.688	"no"	"yes"	"no"	"other"	"other"
0	0	4	0	0	0	0	0	6.8	"no"	"female"	"yes"	16	8.688	"no"	"yes"	"no"	"other"	"other"
4	0	0	6	0	0	0	0	6.6	"no"	"female"	"no"	12	2.035	"no"	"yes"	"no"	"other"	"other"
3	2	0	0	0	0	2	1	7.3	"no"	"female"	"no"	10	2.035	"no"	"no"	"yes"	"other"	"poor"
2	0	0	0	0	0	0	0	6.9	"no"	"female"	"no"	12	5.1696	"yes"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	1	0	6.9	"yes"	"male"	"yes"	8	1.4052	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.6	"yes"	"female"	"yes"	12	1.4052	"no"	"yes"	"no"	"other"	"other"
10	21	4	0	1	1	3	1	7.7	"no"	"female"	"no"	12	0.8934	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	8	1	8	"no"	"male"	"no"	8	10.748	"no"	"no"	"no"	"other"	"other"
6	0	0	0	1	0	2	1	9.1	"no"	"female"	"no"	7	0.5668	"no"	"yes"	"no"	"other"	"poor"
6	0	0	0	0	1	1	0	8	"yes"	"female"	"no"	6	0.741	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.8	"yes"	"female"	"no"	12	1.4605	"no"	"no"	"yes"	"noreast"	"other"
1	0	0	0	0	0	2	1	8.3	"no"	"female"	"no"	0	2.6252	"no"	"no"	"yes"	"noreast"	"excellent"
2	0	0	0	0	0	0	0	6.9	"no"	"female"	"no"	8	1.0788	"no"	"yes"	"no"	"noreast"	"other"
8	0	0	0	0	1	2	1	6.7	"no"	"female"	"no"	2	1.0788	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	1	7.8	"no"	"female"	"no"	16	4.4952	"no"	"yes"	"no"	"noreast"	"poor"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	14	2.601	"yes"	"yes"	"no"	"noreast"	"other"
10	0	0	3	0	0	1	0	7.5	"no"	"female"	"no"	7	0.9816	"yes"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	8	1.104	"no"	"yes"	"no"	"noreast"	"excellent"
10	1	1	1	0	0	1	1	7.7	"no"	"female"	"no"	12	1.6505	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	12	1.6039	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	1.6039	"no"	"yes"	"no"	"noreast"	"other"
7	0	2	0	0	0	0	1	7.3	"no"	"male"	"yes"	18	1.836	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	12	1.836	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	8	3.0673	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	0	1	1	2	0	7.2	"no"	"female"	"no"	6	0.3975	"no"	"no"	"no"	"noreast"	"other"
15	5	2	0	1	1	4	0	7.8	"no"	"female"	"no"	10	0.9684	"no"	"yes"	"no"	"noreast"	"other"
17	0	0	0	0	0	3	1	7.7	"no"	"female"	"no"	7	0.7921	"no"	"no"	"no"	"noreast"	"poor"
0	0	0	1	1	2	0	0	6.6	"yes"	"male"	"no"	6	3.8444	"no"	"no"	"no"	"noreast"	"other"
5	0	0	0	1	0	3	0	7.6	"yes"	"female"	"no"	12	1.4168	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	8.8	"yes"	"female"	"no"	6	0.7776	"yes"	"no"	"no"	"noreast"	"other"
2	0	0	0	1	1	1	0	7.4	"yes"	"male"	"no"	12	0.6432	"no"	"no"	"no"	"noreast"	"other"
10	0	0	0	0	0	2	0	7.1	"yes"	"female"	"no"	2	0.42	"no"	"no"	"yes"	"noreast"	"other"
0	8	0	0	0	0	1	0	6.9	"yes"	"female"	"no"	10	0.5628	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	6.7	"yes"	"female"	"no"	10	0.4269	"no"	"no"	"yes"	"noreast"	"other"
14	1	2	2	0	0	4	0	7.4	"no"	"male"	"yes"	10	1.5638	"yes"	"yes"	"no"	"noreast"	"other"
12	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	8	1.5638	"no"	"yes"	"no"	"noreast"	"other"
8	1	1	8	0	0	1	0	7.4	"no"	"female"	"no"	12	0.4512	"no"	"yes"	"no"	"noreast"	"other"
7	1	0	1	2	3	3	1	8.3	"no"	"female"	"no"	12	0.6582	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	8	0.707	"no"	"yes"	"no"	"noreast"	"other"
7	1	0	0	1	1	3	0	8.4	"no"	"female"	"no"	12	0.652	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	1	5	1	8.4	"no"	"male"	"yes"	10	2.2232	"no"	"no"	"no"	"noreast"	"poor"
6	4	0	0	0	0	2	1	7.2	"no"	"female"	"no"	12	0.462	"no"	"no"	"yes"	"noreast"	"other"
9	1	1	0	0	0	1	0	8	"no"	"male"	"yes"	10	6.001	"no"	"no"	"no"	"noreast"	"other"
2	0	0	1	0	0	2	0	7.7	"no"	"female"	"yes"	8	6.001	"no"	"no"	"no"	"noreast"	"other"
14	0	0	0	0	0	3	0	7	"no"	"male"	"yes"	18	12.7405	"yes"	"yes"	"no"	"noreast"	"other"
5	1	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	9	3.713737	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	9	3.713737	"no"	"yes"	"no"	"noreast"	"other"
5	8	0	0	0	0	0	0	7	"no"	"male"	"yes"	10	1.6014	"no"	"yes"	"no"	"noreast"	"other"
0	4	0	0	0	0	1	0	8.3	"yes"	"female"	"no"	8	0.9909	"yes"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	2	0	7.9	"no"	"female"	"no"	5	6.7992	"no"	"yes"	"no"	"noreast"	"other"
18	0	0	0	0	0	1	0	9	"no"	"female"	"no"	8	3.5251	"no"	"no"	"yes"	"noreast"	"other"
13	0	0	0	2	0	0	0	6.8	"no"	"female"	"no"	16	3.5251	"yes"	"yes"	"yes"	"noreast"	"other"
12	1	0	0	0	0	2	0	8.1	"no"	"female"	"no"	8	1.0384	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	13	1.4088	"no"	"yes"	"no"	"noreast"	"other"
30	0	0	1	2	0	1	0	7.3	"no"	"female"	"yes"	12	1.4088	"no"	"yes"	"no"	"noreast"	"other"
1	4	0	0	0	0	2	0	7.1	"no"	"female"	"no"	12	0.8648	"no"	"yes"	"no"	"noreast"	"other"
15	1	2	0	0	0	1	0	6.7	"no"	"female"	"yes"	8	0.8847	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	1	1	2	0	8.4	"no"	"male"	"yes"	9	0.6192	"no"	"yes"	"no"	"noreast"	"other"
0	0	5	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	0.6192	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	2	0	9.2	"no"	"female"	"no"	12	4.5382	"no"	"yes"	"no"	"noreast"	"other"
3	1	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	12	4.58	"yes"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	1	8.7	"no"	"male"	"yes"	14	0.5664	"no"	"yes"	"no"	"noreast"	"other"
8	20	0	0	0	0	2	0	7	"no"	"female"	"no"	12	1.559	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	0	0	7.8	"no"	"male"	"no"	18	2.5477	"no"	"yes"	"no"	"noreast"	"other"
3	30	0	0	1	0	1	0	7.7	"no"	"female"	"no"	9	1.3932	"no"	"yes"	"no"	"noreast"	"other"
2	4	0	0	0	0	1	0	7	"no"	"male"	"yes"	16	2.5909	"no"	"yes"	"no"	"noreast"	"other"
9	2	0	0	0	1	1	0	7.1	"no"	"female"	"yes"	16	2.5909	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	1	7.3	"no"	"female"	"no"	12	3.1928	"no"	"yes"	"no"	"noreast"	"other"
2	2	0	0	1	1	3	1	8.3	"no"	"female"	"no"	8	4.4256	"no"	"no"	"no"	"noreast"	"other"
9	2	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	0.8304	"yes"	"no"	"no"	"noreast"	"other"
7	1	1	0	0	0	1	0	7.2	"no"	"male"	"no"	11	2.4996	"no"	"yes"	"no"	"noreast"	"other"
9	11	0	0	0	0	2	0	9.3	"no"	"female"	"no"	8	0.8784	"no"	"yes"	"no"	"noreast"	"other"
14	0	0	0	0	1	3	1	7.5	"no"	"female"	"no"	12	1.156	"no"	"yes"	"yes"	"noreast"	"other"
3	0	0	0	0	0	1	0	6.9	"no"	"female"	"no"	11	0.804	"no"	"yes"	"no"	"noreast"	"other"
3	0	1	1	0	0	2	0	7.8	"no"	"female"	"no"	10	0.5964	"no"	"yes"	"no"	"noreast"	"other"
0	1	0	0	0	0	1	0	7.5	"no"	"female"	"no"	8	0.4464	"no"	"yes"	"no"	"noreast"	"other"
21	1	0	0	0	0	5	0	7.3	"no"	"male"	"yes"	8	0.6708	"no"	"yes"	"no"	"noreast"	"poor"
5	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	11	0.6708	"no"	"yes"	"no"	"noreast"	"poor"
3	2	0	0	0	0	2	0	7.1	"no"	"male"	"no"	9	0.666	"no"	"yes"	"no"	"noreast"	"other"
10	0	0	0	0	0	1	0	7.3	"yes"	"male"	"yes"	7	0.98	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	1	0	7.1	"yes"	"female"	"yes"	9	0.98	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	8	9.1676	"yes"	"yes"	"no"	"other"	"other"
0	1	2	0	0	1	1	0	7.1	"no"	"male"	"no"	5	0.3972	"no"	"no"	"no"	"other"	"other"
6	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	7	1.2619	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	1	0	8	"no"	"female"	"yes"	8	0.906	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	3	0	8.5	"no"	"male"	"yes"	6	0.906	"no"	"yes"	"no"	"other"	"other"
6	1	0	2	0	0	1	0	7.8	"no"	"female"	"no"	9	1.6502	"no"	"yes"	"no"	"other"	"other"
2	4	0	0	0	0	0	0	7.2	"no"	"female"	"no"	15	2.0088	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	1	0	0	1	9	"no"	"male"	"yes"	8	0.912	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	2	0	1	8.9	"no"	"female"	"yes"	8	0.912	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	0	0	7.9	"no"	"female"	"no"	8	0.5406	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	8.6	"no"	"female"	"no"	8	0.64	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	1	1	3	0	8.4	"no"	"female"	"no"	12	0.7306	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	1	4	4	0	7.8	"no"	"male"	"no"	3	2.744	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	1	1	8.4	"no"	"male"	"no"	16	5.228	"no"	"yes"	"no"	"other"	"other"
1	1	0	0	0	0	0	1	8.2	"no"	"female"	"no"	11	0.8718	"no"	"yes"	"no"	"other"	"other"
12	32	0	0	0	0	1	0	7.1	"no"	"female"	"no"	12	0.6288	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	9	4.0684	"no"	"no"	"no"	"other"	"other"
1	2	1	0	0	0	1	0	6.6	"no"	"female"	"no"	10	0.7164	"no"	"yes"	"no"	"other"	"other"
2	0	0	2	0	0	1	0	6.9	"no"	"female"	"no"	13	0.695	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	12	9.7628	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	8.3	"no"	"female"	"no"	16	9.7628	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	9.2	"no"	"female"	"no"	8	0.48	"no"	"no"	"no"	"midwest"	"excellent"
1	0	2	0	0	1	1	0	7.5	"no"	"male"	"yes"	17	2.9604	"no"	"yes"	"no"	"midwest"	"other"
26	1	0	2	0	1	5	0	7.6	"no"	"female"	"yes"	13	2.9604	"no"	"yes"	"no"	"midwest"	"poor"
1	2	0	0	0	0	3	1	7.3	"no"	"female"	"no"	16	0.9671	"no"	"yes"	"no"	"midwest"	"other"
18	5	0	0	2	1	2	0	8.6	"no"	"female"	"yes"	6	2.3472	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	2	0	8.1	"no"	"female"	"no"	12	0.72	"no"	"yes"	"no"	"midwest"	"other"
5	3	0	1	0	0	1	0	7	"yes"	"female"	"no"	6	4.5516	"no"	"yes"	"yes"	"west"	"other"
18	2	1	0	1	1	1	1	7.4	"no"	"female"	"no"	8	0.7752	"no"	"no"	"yes"	"west"	"poor"
4	0	0	0	0	0	0	0	8.4	"yes"	"female"	"no"	7	0.648	"no"	"no"	"yes"	"west"	"other"
0	2	4	0	0	0	2	1	7.6	"yes"	"female"	"no"	4	0.564	"no"	"no"	"yes"	"west"	"excellent"
0	12	6	1	1	0	1	1	8.6	"yes"	"female"	"no"	6	0.714	"no"	"no"	"yes"	"west"	"other"
26	3	1	0	0	1	5	1	8.1	"yes"	"female"	"no"	8	0.696	"no"	"no"	"yes"	"west"	"poor"
9	0	40	0	0	1	3	1	7	"yes"	"female"	"no"	8	0.29568	"no"	"no"	"yes"	"west"	"poor"
10	0	0	0	0	1	2	1	6.7	"yes"	"female"	"no"	8	0	"no"	"no"	"no"	"west"	"other"
1	0	7	0	0	2	2	0	6.7	"yes"	"male"	"yes"	11	0.8028	"no"	"no"	"yes"	"west"	"other"
0	1	1	0	0	0	0	1	8.5	"yes"	"female"	"no"	11	0.684	"no"	"no"	"yes"	"west"	"other"
0	0	9	0	0	1	2	0	7.2	"yes"	"female"	"no"	8	0.7272	"no"	"yes"	"no"	"west"	"other"
2	1	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	1.303	"no"	"yes"	"no"	"west"	"other"
0	3	1	0	1	0	0	0	6.8	"no"	"female"	"yes"	12	1.303	"no"	"yes"	"no"	"west"	"other"
3	6	1	0	0	0	0	0	6.6	"no"	"male"	"no"	16	2.8344	"no"	"yes"	"no"	"west"	"excellent"
0	0	5	0	1	0	2	1	8.3	"no"	"female"	"no"	13	1.4529	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	3	0	7	"yes"	"male"	"no"	7	0.3428	"no"	"yes"	"no"	"west"	"other"
1	0	4	0	1	2	0	0	7.9	"no"	"male"	"yes"	10	1.2864	"no"	"no"	"yes"	"west"	"other"
3	0	0	0	0	0	0	0	8.5	"no"	"female"	"yes"	12	1.2864	"no"	"no"	"yes"	"west"	"excellent"
5	1	4	3	0	0	1	0	7.9	"no"	"female"	"no"	11	0.6885	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	0	0	8.5	"no"	"female"	"no"	12	0.9952	"no"	"yes"	"yes"	"west"	"other"
0	0	0	0	2	2	1	1	8.7	"no"	"female"	"no"	12	0.522	"no"	"no"	"yes"	"west"	"other"
15	6	2	1	0	1	1	1	8	"no"	"male"	"yes"	15	23.0179	"yes"	"yes"	"no"	"west"	"excellent"
2	0	1	1	0	0	1	1	7.9	"no"	"female"	"yes"	16	23.0179	"no"	"yes"	"no"	"west"	"other"
3	2	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	18	13.2636	"no"	"yes"	"no"	"west"	"other"
0	0	10	1	0	0	1	0	7.6	"no"	"male"	"yes"	16	5.2723	"no"	"yes"	"no"	"west"	"other"
0	0	14	3	0	0	2	0	7.8	"no"	"female"	"yes"	16	5.2723	"no"	"yes"	"no"	"west"	"other"
14	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	18	9.9464	"no"	"yes"	"no"	"west"	"other"
3	0	5	2	1	0	2	0	7.2	"no"	"male"	"yes"	12	2.7272	"no"	"yes"	"no"	"west"	"other"
3	0	3	2	0	0	1	0	6.7	"no"	"female"	"yes"	12	2.7272	"no"	"yes"	"no"	"west"	"other"
10	0	3	0	0	0	1	0	8.2	"no"	"male"	"yes"	18	5.0095	"no"	"yes"	"no"	"west"	"poor"
4	10	0	1	0	0	2	0	8.2	"no"	"female"	"yes"	17	5.0095	"no"	"yes"	"no"	"west"	"other"
2	32	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	18	8.4933	"yes"	"yes"	"no"	"west"	"other"
2	1	5	0	0	0	0	0	7.3	"no"	"male"	"yes"	16	5.2158	"no"	"yes"	"no"	"west"	"other"
4	1	2	0	0	0	2	0	6.9	"no"	"female"	"yes"	16	5.2158	"no"	"yes"	"no"	"west"	"other"
4	0	6	2	0	0	2	0	8.2	"no"	"female"	"no"	16	2.3046	"no"	"yes"	"no"	"west"	"excellent"
7	1	0	0	0	1	4	0	7.3	"no"	"female"	"no"	12	1.1748	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	1	0	8.1	"no"	"male"	"yes"	13	3.6391	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	3.6391	"no"	"yes"	"no"	"west"	"other"
1	0	2	2	2	0	0	0	7.6	"no"	"female"	"no"	12	1.2337	"no"	"yes"	"no"	"west"	"other"
8	1	0	2	0	0	1	0	7.9	"no"	"female"	"no"	13	1.6768	"no"	"yes"	"no"	"west"	"other"
18	14	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	13	3.6521	"no"	"yes"	"no"	"west"	"other"
8	6	0	0	0	0	3	0	7.3	"no"	"female"	"yes"	15	3.6521	"no"	"yes"	"no"	"west"	"other"
17	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	13	3.8717	"no"	"yes"	"no"	"west"	"other"
8	0	0	0	0	0	2	0	7.1	"yes"	"female"	"yes"	14	5.344	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	1	1	4	0	7.8	"yes"	"male"	"yes"	13	5.344	"no"	"yes"	"no"	"west"	"poor"
1	0	0	0	0	0	1	0	6.6	"yes"	"female"	"no"	12	0.8692	"yes"	"yes"	"no"	"west"	"other"
2	0	6	1	0	0	2	0	6.9	"yes"	"female"	"no"	12	1.4504	"no"	"yes"	"no"	"west"	"other"
6	1	0	0	0	0	2	0	7.5	"no"	"male"	"no"	0	1.1301	"no"	"yes"	"no"	"west"	"other"
10	0	0	0	0	0	2	0	7.1	"no"	"female"	"no"	12	1.7976	"no"	"no"	"no"	"west"	"other"
2	0	0	1	0	1	4	1	7.7	"yes"	"female"	"no"	12	7.0807	"no"	"no"	"yes"	"west"	"poor"
11	1	0	0	2	1	1	0	8.2	"no"	"female"	"no"	6	1.3008	"no"	"no"	"yes"	"west"	"other"
5	5	0	0	0	0	3	1	7	"yes"	"female"	"no"	12	0.696	"no"	"no"	"yes"	"west"	"other"
8	0	0	1	0	0	2	0	8.7	"no"	"male"	"yes"	6	20.496	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	7	0.607	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	6	0.8824	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	2	0	7.2	"no"	"male"	"yes"	8	1.7411	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	3	1	7	"no"	"male"	"yes"	5	1.322	"no"	"yes"	"no"	"other"	"poor"
6	0	0	0	2	1	3	0	6.7	"no"	"female"	"yes"	8	1.322	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	3	0	7.5	"no"	"male"	"yes"	11	1.3562	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	8	1.3562	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	8	1.71	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	7.1	"no"	"female"	"yes"	8	1.71	"yes"	"no"	"no"	"other"	"other"
4	2	0	0	0	0	1	0	7.1	"no"	"female"	"no"	12	0.942	"no"	"yes"	"no"	"other"	"other"
9	0	1	0	1	1	1	0	6.9	"no"	"male"	"yes"	12	2.2966	"no"	"yes"	"no"	"other"	"poor"
3	2	0	0	0	0	2	0	7.1	"no"	"male"	"yes"	18	7.4078	"no"	"yes"	"no"	"other"	"excellent"
3	0	0	0	0	0	2	0	7.3	"no"	"female"	"yes"	17	7.4078	"no"	"yes"	"no"	"other"	"other"
19	0	1	0	0	0	2	0	7.2	"no"	"male"	"yes"	12	3.4928	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	11	3.4928	"no"	"yes"	"no"	"other"	"other"
5	3	1	0	0	0	2	0	7.4	"no"	"male"	"yes"	16	3.0104	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	1	0	7.8	"no"	"female"	"yes"	16	3.0104	"no"	"yes"	"no"	"other"	"excellent"
3	0	0	0	1	0	0	1	8.5	"no"	"male"	"yes"	5	1.4932	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	12	1.4932	"no"	"yes"	"no"	"other"	"other"
66	0	0	0	0	0	2	1	7.2	"no"	"male"	"yes"	12	1.3928	"yes"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	10	1.3928	"no"	"yes"	"no"	"other"	"other"
2	1	0	0	0	1	1	0	8.2	"no"	"male"	"yes"	9	0.847	"yes"	"no"	"yes"	"other"	"excellent"
4	0	0	0	0	0	1	0	8.4	"no"	"female"	"yes"	9	0.847	"no"	"no"	"yes"	"other"	"other"
9	0	0	0	0	0	2	0	8.3	"no"	"male"	"yes"	3	1.914866	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	14	2.25	"yes"	"yes"	"no"	"other"	"other"
13	0	1	1	0	0	2	1	7	"no"	"female"	"no"	12	0.6142	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	1	0	5	0	7.3	"no"	"female"	"no"	8	0.3528	"no"	"no"	"no"	"midwest"	"poor"
5	0	0	0	0	0	2	0	7.1	"no"	"male"	"yes"	7	1.08	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	9	1.08	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	1	3	1	8.1	"no"	"male"	"yes"	11	0.72	"no"	"no"	"no"	"midwest"	"poor"
3	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	8	1.1328	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	1	0	0	2	0	7.4	"no"	"female"	"yes"	12	1.1328	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	3	0	7.8	"no"	"female"	"no"	12	0.5984	"no"	"yes"	"no"	"midwest"	"poor"
4	1	0	1	0	0	3	1	6.8	"no"	"male"	"no"	12	0.704	"no"	"no"	"no"	"other"	"poor"
6	0	3	35	1	1	1	0	8.1	"no"	"female"	"no"	8	0.7908	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	1.1103	"yes"	"yes"	"no"	"other"	"other"
7	6	0	0	0	0	3	1	8.2	"no"	"female"	"yes"	10	2.3082	"no"	"yes"	"no"	"other"	"other"
4	1	3	0	0	0	2	1	8.2	"no"	"male"	"yes"	12	2.3082	"no"	"yes"	"no"	"other"	"poor"
5	0	2	0	0	1	1	0	6.7	"no"	"female"	"yes"	8	1.1971	"no"	"yes"	"no"	"other"	"other"
1	1	0	0	0	0	0	0	7.2	"no"	"male"	"no"	12	1.2732	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	3	0	7.6	"no"	"male"	"yes"	5	1.3321	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	1	9.2	"no"	"female"	"no"	6	0.432	"no"	"no"	"yes"	"other"	"other"
7	12	0	0	3	1	1	0	7.8	"no"	"male"	"yes"	12	0.9624	"no"	"yes"	"no"	"other"	"other"
1	9	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	12	0.9624	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	2	1	6.8	"no"	"male"	"no"	5	0.5761	"no"	"yes"	"no"	"other"	"other"
37	0	4	0	1	3	5	1	7.2	"no"	"female"	"no"	12	0.432	"no"	"yes"	"yes"	"other"	"poor"
6	0	2	0	1	1	2	0	8.3	"no"	"female"	"no"	9	3.896	"no"	"yes"	"no"	"other"	"other"
6	1	0	0	1	0	2	0	7.8	"no"	"female"	"no"	6	0.4128	"no"	"yes"	"no"	"other"	"other"
17	0	4	0	3	6	5	1	6.8	"no"	"female"	"no"	8	0.7464	"no"	"yes"	"no"	"other"	"poor"
4	0	0	0	0	0	3	1	9.5	"no"	"female"	"no"	4	0.3984	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	11	0.6348	"yes"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"female"	"no"	12	0.5249	"no"	"yes"	"no"	"other"	"excellent"
7	18	1	2	1	0	3	0	6.9	"no"	"male"	"yes"	8	1.7623	"no"	"yes"	"no"	"midwest"	"other"
6	1	0	0	0	0	0	0	6.6	"no"	"female"	"no"	10	1.8682	"no"	"yes"	"no"	"midwest"	"other"
3	4	0	8	0	0	0	0	7	"no"	"male"	"yes"	8	3.7799	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	6.8	"no"	"female"	"yes"	8	3.7799	"no"	"yes"	"no"	"midwest"	"other"
15	0	0	7	0	1	2	0	8.1	"no"	"male"	"yes"	7	2.9463	"no"	"yes"	"no"	"other"	"other"
14	0	0	0	1	1	0	1	7.8	"no"	"female"	"yes"	9	2.9463	"no"	"yes"	"no"	"other"	"other"
7	0	3	1	0	1	1	0	6.6	"no"	"male"	"yes"	7	1.236	"no"	"yes"	"no"	"other"	"other"
4	0	1	0	3	0	4	0	7.7	"no"	"female"	"no"	12	0.5331	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	6.9	"no"	"female"	"no"	8	3.5544	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	8.5	"no"	"male"	"no"	4	0.4332	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	3	0	7.3	"no"	"female"	"yes"	13	0.6492	"no"	"yes"	"no"	"other"	"other"
12	0	0	3	1	1	2	0	7.3	"no"	"female"	"no"	8	0.474	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	0	0	2	1	7.8	"no"	"female"	"no"	8	0.3996	"no"	"yes"	"no"	"other"	"other"
3	2	0	0	0	0	1	0	7.1	"no"	"female"	"no"	11	0.5292	"no"	"no"	"no"	"other"	"poor"
7	0	0	1	0	0	1	0	7.2	"no"	"female"	"no"	5	1.0344	"no"	"no"	"no"	"other"	"other"
13	0	0	1	0	1	4	0	6.7	"no"	"male"	"yes"	12	5.0559	"no"	"yes"	"no"	"other"	"poor"
10	0	0	1	0	0	1	0	6.6	"no"	"female"	"yes"	10	5.0559	"no"	"yes"	"no"	"other"	"other"
7	2	0	0	0	0	1	1	9.1	"no"	"female"	"no"	13	5.0559	"no"	"yes"	"yes"	"other"	"other"
12	23	2	0	3	1	3	0	7.6	"no"	"male"	"yes"	16	0.9468	"no"	"no"	"no"	"other"	"other"
0	0	2	14	0	0	2	1	6.6	"no"	"male"	"no"	6	0.6132	"no"	"no"	"no"	"other"	"poor"
1	0	1	0	0	0	1	1	7.4	"no"	"female"	"no"	8	0.618	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	3	0	6.9	"no"	"male"	"yes"	7	1.4238	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	1	0	2	0	6.7	"no"	"female"	"yes"	7	1.4238	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	7	1.55	"no"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	1	0	6.6	"no"	"female"	"no"	8	0.7966	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	3	1	8.5	"no"	"male"	"no"	3	5.096	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	7.8	"no"	"male"	"yes"	10	2.3101	"no"	"yes"	"no"	"other"	"other"
28	0	0	0	1	0	4	0	7.4	"no"	"male"	"no"	11	0.8907	"no"	"yes"	"no"	"other"	"poor"
13	0	0	0	0	1	0	0	6.9	"no"	"female"	"yes"	8	0.6276	"no"	"no"	"yes"	"other"	"other"
10	0	0	0	0	1	2	1	6.9	"no"	"male"	"yes"	2	0.6276	"no"	"no"	"yes"	"other"	"poor"
0	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	5	0.861466	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	1	7.5	"no"	"female"	"yes"	8	0.861466	"no"	"yes"	"no"	"other"	"poor"
10	0	0	0	1	0	3	0	6.9	"no"	"female"	"yes"	6	0.9316	"no"	"yes"	"no"	"other"	"poor"
4	0	2	0	0	2	2	1	7.3	"no"	"male"	"yes"	10	1.728	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	7	1.728	"no"	"yes"	"no"	"other"	"other"
5	0	0	2	0	0	2	1	7.9	"no"	"female"	"no"	7	0.7429	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	16	1.76	"no"	"yes"	"no"	"other"	"other"
0	0	3	1	0	0	2	0	7.6	"no"	"female"	"no"	12	1.7292	"yes"	"yes"	"no"	"other"	"other"
0	3	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	7	8.6249	"no"	"yes"	"no"	"west"	"other"
6	0	0	0	0	0	4	0	6.9	"no"	"male"	"yes"	6	-0.818	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	1	1	1	0	6.6	"no"	"female"	"no"	11	0.7872	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	2	1	8.4	"no"	"female"	"no"	8	0.7872	"no"	"no"	"no"	"other"	"poor"
2	0	8	11	0	0	1	1	7.7	"no"	"female"	"no"	8	0.992	"no"	"yes"	"no"	"other"	"other"
19	0	19	0	1	0	4	1	6.9	"no"	"female"	"no"	7	3.1975	"no"	"no"	"yes"	"other"	"poor"
6	1	1	0	0	1	2	1	7.5	"no"	"male"	"yes"	8	14.1795	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	11	14.1795	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	8.4	"no"	"male"	"yes"	16	0.9232	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	2	0	8.2	"no"	"female"	"yes"	14	0.9232	"no"	"yes"	"no"	"other"	"excellent"
24	0	0	1	0	2	1	0	7.2	"no"	"female"	"no"	15	1.1029	"no"	"yes"	"no"	"other"	"poor"
3	18	0	0	3	0	6	0	7.8	"no"	"male"	"no"	12	1.0009	"no"	"yes"	"no"	"other"	"poor"
0	1	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	5	1.5419	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	8	1.1652	"no"	"yes"	"no"	"other"	"excellent"
1	0	0	2	0	0	0	0	6.6	"no"	"female"	"yes"	13	1.1652	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"female"	"no"	12	2.9712	"no"	"yes"	"no"	"other"	"excellent"
17	1	1	0	2	2	2	1	7.6	"no"	"female"	"no"	8	0.4104	"no"	"no"	"yes"	"other"	"poor"
4	0	0	0	0	0	3	0	6.6	"no"	"male"	"yes"	9	3.4031	"no"	"yes"	"no"	"other"	"other"
8	2	0	0	0	0	3	0	7.3	"no"	"female"	"no"	15	1.1131	"yes"	"yes"	"no"	"other"	"other"
2	1	0	0	0	0	1	0	8.6	"no"	"male"	"no"	12	1.126	"no"	"yes"	"no"	"other"	"other"
8	0	16	0	0	1	7	1	6.6	"no"	"female"	"yes"	10	2.026	"no"	"no"	"no"	"other"	"poor"
10	1	0	0	0	0	1	0	7	"no"	"female"	"no"	8	0.5316	"no"	"yes"	"no"	"other"	"other"
1	0	12	0	3	2	3	1	7.7	"no"	"male"	"no"	9	0.564	"no"	"yes"	"no"	"other"	"poor"
2	2	8	1	1	1	0	0	6.6	"no"	"male"	"yes"	13	2.6568	"no"	"no"	"no"	"other"	"excellent"
7	0	0	0	0	0	1	0	6.8	"no"	"male"	"no"	10	3.005	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	12	8.331	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	12	8.331	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	18	3.4684	"no"	"yes"	"no"	"other"	"other"
18	0	1	13	0	0	5	1	7.7	"no"	"female"	"no"	14	0.7464	"no"	"no"	"no"	"other"	"poor"
2	0	3	0	1	1	2	0	7.3	"no"	"male"	"no"	10	0.744	"no"	"no"	"no"	"other"	"other"
6	0	0	0	0	0	3	0	8.6	"no"	"female"	"no"	14	4.2032	"no"	"no"	"yes"	"other"	"poor"
16	0	1	0	0	0	3	0	7.1	"no"	"male"	"yes"	18	2.2423	"yes"	"yes"	"no"	"other"	"excellent"
13	0	3	0	0	1	4	0	7.8	"no"	"female"	"yes"	8	0.7608	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	1	0	1	9.5	"no"	"male"	"no"	6	0.6442	"no"	"yes"	"no"	"other"	"excellent"
8	0	0	0	0	0	1	0	7.3	"no"	"female"	"no"	9	0.5788	"no"	"no"	"no"	"other"	"other"
7	0	1	0	0	0	2	0	8.1	"yes"	"male"	"yes"	11	2.5356	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	7.7	"yes"	"female"	"yes"	0	2.5356	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	2	2.042	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	0	0	7.4	"no"	"male"	"no"	12	1.0689	"no"	"yes"	"no"	"midwest"	"other"
6	3	2	0	0	0	2	0	8.2	"no"	"female"	"no"	8	3.6425	"no"	"yes"	"no"	"midwest"	"other"
4	5	1	0	0	2	1	1	8.8	"no"	"female"	"no"	8	3.6425	"no"	"yes"	"no"	"midwest"	"poor"
18	6	0	1	1	0	5	1	7.1	"no"	"female"	"yes"	11	2.6376	"no"	"yes"	"no"	"midwest"	"poor"
4	1	0	0	1	0	4	1	7.4	"no"	"female"	"no"	8	1.56	"no"	"yes"	"no"	"midwest"	"poor"
9	2	0	0	0	0	2	0	9	"no"	"male"	"no"	7	0.708	"no"	"yes"	"no"	"midwest"	"other"
5	31	0	0	0	1	2	1	8.6	"no"	"female"	"no"	10	0.9912	"no"	"no"	"no"	"midwest"	"other"
3	36	0	0	0	0	0	0	6.9	"no"	"female"	"no"	10	0.9912	"no"	"yes"	"no"	"midwest"	"other"
8	5	1	0	0	0	0	1	8.8	"no"	"female"	"no"	4	0.4895	"no"	"no"	"no"	"midwest"	"other"
12	2	0	0	0	0	2	1	7.9	"no"	"male"	"yes"	10	1.4336	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	1	1	7.6	"no"	"female"	"yes"	8	1.4336	"no"	"yes"	"no"	"midwest"	"other"
11	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	4.2861	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	10	4.2861	"no"	"yes"	"no"	"midwest"	"excellent"
8	1	0	0	0	0	2	1	7.8	"no"	"female"	"no"	16	0.536	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	3	1	8.4	"no"	"female"	"no"	11	0.6	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	11	0.7319	"no"	"yes"	"no"	"midwest"	"excellent"
4	0	0	1	0	0	3	0	7.7	"no"	"female"	"no"	11	0.6324	"no"	"yes"	"no"	"midwest"	"other"
12	1	0	1	0	1	1	1	6.6	"no"	"male"	"yes"	12	1.9458	"no"	"yes"	"no"	"midwest"	"other"
6	9	0	0	0	0	2	0	6.7	"no"	"male"	"yes"	8	1.6856	"no"	"yes"	"no"	"midwest"	"other"
0	1	0	0	0	0	1	0	7.3	"no"	"female"	"no"	11	1.9985	"yes"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	0	4	1	8.5	"no"	"female"	"no"	14	1.2279	"no"	"no"	"no"	"noreast"	"poor"
4	0	0	0	0	0	2	0	6.8	"no"	"female"	"no"	12	0.6987	"no"	"yes"	"no"	"noreast"	"other"
15	3	0	0	0	0	5	1	8.5	"no"	"male"	"yes"	5	1.1868	"no"	"no"	"no"	"noreast"	"other"
14	0	0	0	1	1	4	0	7.5	"no"	"female"	"yes"	10	1.1868	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	3	1	7	"no"	"female"	"no"	8	0.4457	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	10	4.08	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	8	0.8228	"no"	"yes"	"no"	"noreast"	"other"
21	0	0	1	3	0	1	0	6.7	"no"	"male"	"no"	3	0.456	"no"	"no"	"yes"	"noreast"	"poor"
22	0	0	0	0	1	5	0	7.3	"no"	"male"	"no"	7	1.2492	"no"	"yes"	"no"	"noreast"	"poor"
9	0	0	0	0	0	2	0	7.6	"yes"	"female"	"no"	5	1.878	"no"	"no"	"yes"	"noreast"	"other"
4	1	0	0	0	1	0	0	7.3	"yes"	"male"	"no"	6	2.378	"no"	"yes"	"no"	"noreast"	"other"
3	0	3	0	0	1	1	0	6.8	"yes"	"male"	"yes"	8	1.663	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.8	"yes"	"female"	"yes"	8	1.663	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.9	"yes"	"male"	"yes"	8	1.68	"no"	"yes"	"yes"	"noreast"	"other"
0	0	9	0	0	0	1	0	6.7	"yes"	"female"	"yes"	8	1.68	"no"	"no"	"yes"	"noreast"	"other"
1	0	0	0	0	0	2	1	8.5	"yes"	"female"	"no"	9	0.4659	"no"	"no"	"yes"	"noreast"	"other"
1	0	0	0	1	1	3	0	6.9	"yes"	"male"	"no"	8	1.8436	"no"	"no"	"no"	"noreast"	"poor"
1	0	0	0	0	0	2	1	8.4	"yes"	"female"	"no"	0	1.8436	"no"	"no"	"yes"	"noreast"	"other"
1	0	0	0	1	0	0	0	7.7	"yes"	"male"	"no"	8	0.3714	"yes"	"no"	"no"	"noreast"	"excellent"
10	3	0	6	0	2	2	0	6.8	"yes"	"female"	"no"	9	1.6848	"no"	"yes"	"no"	"noreast"	"other"
18	0	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	8	5.4988	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	5.4988	"no"	"yes"	"no"	"noreast"	"excellent"
26	54	1	0	3	1	3	1	8.8	"no"	"male"	"yes"	12	1.5502	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	14	1.0497	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	1.299	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	1	6.6	"no"	"female"	"no"	12	1.299	"no"	"no"	"yes"	"noreast"	"other"
1	1	0	1	0	0	1	0	6.8	"no"	"female"	"no"	12	2.8278	"yes"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	2	0	7.8	"no"	"male"	"yes"	8	2.1713	"no"	"yes"	"no"	"other"	"other"
1	0	1	0	1	0	1	0	8.2	"no"	"female"	"yes"	8	2.1713	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	11	0	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	11	0.8388	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	4	1	7.7	"no"	"male"	"yes"	6	0.8388	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	2	0	7.2	"no"	"male"	"yes"	6	0.6562	"no"	"no"	"no"	"other"	"other"
10	0	1	0	0	0	3	0	6.7	"no"	"female"	"yes"	12	0.6562	"no"	"no"	"no"	"other"	"other"
12	18	0	3	0	1	5	1	7.5	"no"	"female"	"no"	11	1.1782	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	1	1	2	0	7.7	"no"	"male"	"yes"	9	1.6335	"no"	"yes"	"no"	"other"	"other"
5	0	2	0	0	0	3	0	7.2	"no"	"female"	"yes"	5	1.6335	"no"	"yes"	"no"	"other"	"poor"
3	1	1	0	0	0	3	1	6.9	"no"	"female"	"no"	16	0.4209	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	8	4.2964	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	0	1	7.3	"no"	"female"	"no"	12	1.7146	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	0	0	1	0	7.3	"yes"	"female"	"no"	4	0.3168	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.5	"yes"	"male"	"yes"	6	1.344	"no"	"yes"	"no"	"other"	"poor"
11	1	0	31	1	2	0	0	6.9	"yes"	"female"	"yes"	14	1.344	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	1	0	6.7	"yes"	"male"	"no"	6	0.5388	"no"	"yes"	"no"	"other"	"excellent"
6	0	0	0	1	0	1	1	8.6	"yes"	"male"	"no"	0	1.0104	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7	"yes"	"male"	"no"	9	0.6756	"no"	"no"	"no"	"other"	"excellent"
0	0	0	0	1	0	1	0	7.2	"yes"	"female"	"no"	11	0.4476	"no"	"no"	"yes"	"other"	"other"
0	0	141	155	0	0	3	0	6.7	"yes"	"male"	"yes"	0	2.7076	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	1	1	1	9.6	"yes"	"female"	"no"	0	2.7076	"no"	"no"	"no"	"other"	"other"
16	0	1	1	2	1	4	1	8.1	"no"	"female"	"no"	8	5.3558	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7	"no"	"female"	"no"	16	0.6201	"yes"	"no"	"no"	"other"	"other"
7	0	0	18	1	3	2	0	6.6	"no"	"male"	"yes"	16	2.0096	"no"	"yes"	"no"	"other"	"poor"
7	1	0	1	0	0	1	0	6.9	"no"	"female"	"yes"	12	3.5653	"no"	"yes"	"no"	"other"	"excellent"
5	0	0	0	0	0	2	0	7.6	"no"	"male"	"yes"	16	3.5653	"yes"	"yes"	"no"	"other"	"excellent"
6	1	1	1	0	0	2	1	7.4	"no"	"male"	"yes"	7	1.0826	"no"	"yes"	"no"	"other"	"other"
3	0	2	1	0	0	0	0	6.6	"no"	"female"	"yes"	7	1.0826	"no"	"yes"	"no"	"other"	"other"
3	5	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	7	1.6957	"no"	"yes"	"no"	"other"	"other"
27	0	0	1	0	1	2	0	7	"no"	"male"	"yes"	15	1.7644	"no"	"yes"	"no"	"other"	"other"
11	2	0	0	1	1	2	0	6.7	"no"	"female"	"yes"	12	1.7644	"no"	"yes"	"no"	"other"	"other"
8	0	1	0	0	0	1	0	7	"no"	"female"	"yes"	18	5.2857	"no"	"yes"	"no"	"other"	"other"
0	0	19	0	0	1	1	0	7.3	"no"	"male"	"yes"	0	1.7608	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	10	0.3552	"no"	"no"	"no"	"other"	"excellent"
2	0	0	0	0	0	0	1	9.1	"no"	"female"	"no"	13	5.0672	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	8.5	"no"	"male"	"yes"	12	1.6995	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	3	0	8	"no"	"female"	"yes"	13	1.6995	"no"	"yes"	"no"	"other"	"other"
1	1	2	0	1	0	0	0	6.7	"no"	"male"	"yes"	16	2.61	"no"	"yes"	"no"	"other"	"other"
6	13	1	2	0	0	1	0	6.6	"no"	"female"	"yes"	16	2.61	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	2	0	7.7	"no"	"male"	"no"	12	2.3744	"no"	"yes"	"no"	"other"	"other"
8	0	0	1	0	1	2	0	7.4	"no"	"male"	"yes"	16	6.3327	"no"	"yes"	"no"	"other"	"excellent"
9	0	0	1	0	0	2	0	7.4	"no"	"female"	"yes"	16	6.3327	"no"	"yes"	"no"	"other"	"other"
11	1	1	0	3	4	2	0	7	"no"	"female"	"yes"	12	5.3666	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	12	5.3666	"no"	"yes"	"no"	"other"	"other"
13	6	0	0	0	0	4	0	8.3	"no"	"female"	"no"	15	2.072	"no"	"yes"	"no"	"other"	"other"
5	1	0	0	0	0	1	0	7.1	"no"	"male"	"no"	14	11.6	"yes"	"yes"	"no"	"other"	"excellent"
16	0	0	0	0	0	1	0	7.8	"no"	"female"	"no"	12	0.8692	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	2	0	0	0	8	"no"	"female"	"no"	10	0.1261	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	3	0	6.7	"no"	"male"	"yes"	7	3.4602	"no"	"yes"	"no"	"other"	"other"
9	6	0	0	0	0	3	0	6.8	"no"	"female"	"no"	18	1.3316	"no"	"yes"	"no"	"other"	"other"
4	0	0	2	0	0	3	1	7	"no"	"male"	"yes"	18	6.5416	"no"	"yes"	"no"	"other"	"excellent"
13	0	1	0	0	0	2	1	8	"no"	"male"	"yes"	13	2.0585	"no"	"yes"	"no"	"other"	"poor"
5	1	0	1	0	0	1	0	7.9	"no"	"female"	"no"	14	2.7929	"no"	"yes"	"no"	"other"	"other"
15	2	0	0	0	0	2	0	6.7	"no"	"male"	"no"	16	5.56	"no"	"yes"	"no"	"other"	"other"
8	2	0	0	0	0	1	0	8.6	"no"	"male"	"no"	18	0.717	"no"	"yes"	"no"	"other"	"other"
14	0	0	0	0	0	1	1	8.3	"no"	"female"	"no"	8	0.4428	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	8	4.198	"no"	"no"	"no"	"other"	"other"
12	1	0	0	0	0	1	1	7.2	"no"	"male"	"no"	11	0.4488	"no"	"yes"	"no"	"other"	"poor"
8	0	0	0	1	0	3	1	8	"no"	"male"	"yes"	12	1.93	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	1	0	3	1	7.6	"no"	"female"	"yes"	11	1.93	"no"	"yes"	"no"	"other"	"poor"
23	0	0	1	0	1	3	0	7.4	"no"	"female"	"no"	8	0.468	"no"	"yes"	"no"	"other"	"poor"
2	0	0	0	0	0	2	0	6.6	"no"	"female"	"no"	8	0.6205	"no"	"no"	"no"	"other"	"excellent"
0	0	0	0	0	0	1	0	7.3	"no"	"male"	"no"	9	0.7992	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7	"yes"	"female"	"no"	0	2.7786	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	0	5.59	"no"	"yes"	"no"	"other"	"other"
2	0	4	0	0	1	3	0	8.9	"no"	"female"	"no"	12	1.5682	"no"	"yes"	"no"	"other"	"other"
15	4	0	0	0	1	1	1	7.4	"no"	"female"	"no"	12	1.5799	"no"	"yes"	"no"	"other"	"other"
19	1	2	0	0	0	0	0	7.3	"no"	"male"	"no"	18	8.3408	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	16	5.8828	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	16	5.8828	"no"	"yes"	"no"	"other"	"excellent"
4	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	16	11.2891	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	18	8.6948	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"male"	"no"	16	6.31	"yes"	"yes"	"no"	"other"	"excellent"
1	1	0	0	0	0	1	0	7.8	"no"	"female"	"no"	15	1.0007	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	7.7	"no"	"female"	"no"	12	2.6582	"yes"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	2	0	7	"yes"	"female"	"no"	8	0.492	"no"	"no"	"yes"	"noreast"	"poor"
20	0	0	0	2	0	2	1	6.6	"yes"	"female"	"no"	11	0.4863	"no"	"no"	"yes"	"noreast"	"poor"
0	0	1	1	0	0	6	0	7.5	"yes"	"male"	"no"	4	0.528	"no"	"yes"	"no"	"noreast"	"poor"
20	21	1	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	4.233531	"no"	"yes"	"no"	"noreast"	"other"
9	1	0	2	2	1	2	0	6.7	"no"	"male"	"yes"	10	3.6648	"no"	"yes"	"no"	"noreast"	"other"
9	18	0	0	0	0	3	0	7.2	"no"	"male"	"yes"	8	3.0478	"no"	"yes"	"no"	"noreast"	"other"
10	17	5	1	0	0	2	0	7.3	"no"	"female"	"yes"	13	3.0478	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	0	2	0	8.4	"yes"	"female"	"no"	10	1.7548	"no"	"yes"	"no"	"noreast"	"poor"
1	0	0	0	0	0	1	0	6.8	"yes"	"female"	"no"	10	0.984	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	0	0	0	3	0	7.9	"yes"	"female"	"no"	12	1.3058	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.6	"yes"	"female"	"no"	10	0.48	"no"	"no"	"no"	"noreast"	"excellent"
0	0	0	0	0	0	1	0	6.8	"yes"	"female"	"no"	6	3.396	"no"	"no"	"no"	"noreast"	"excellent"
0	0	0	0	1	2	2	0	6.8	"yes"	"female"	"no"	12	0.2196	"no"	"no"	"yes"	"noreast"	"other"
0	1	0	0	0	0	1	0	7.5	"no"	"male"	"no"	3	0.3816	"no"	"no"	"yes"	"noreast"	"other"
11	1	2	0	0	0	5	0	6.8	"yes"	"female"	"no"	12	0.648	"no"	"no"	"no"	"noreast"	"poor"
2	1	0	0	1	0	1	0	7.6	"no"	"female"	"no"	9	0.6728	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	1	8.5	"no"	"female"	"no"	11	9.3346	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	12	1.4572	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	1.4572	"no"	"yes"	"no"	"noreast"	"other"
4	2	0	1	0	0	1	0	7.1	"no"	"male"	"yes"	12	3.6864	"no"	"yes"	"no"	"noreast"	"other"
2	4	0	1	0	0	1	0	6.7	"no"	"female"	"yes"	12	3.6864	"no"	"yes"	"no"	"noreast"	"other"
17	3	1	0	0	0	0	0	6.8	"no"	"female"	"no"	14	1.4174	"yes"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	8	2.5464	"no"	"no"	"no"	"noreast"	"other"
6	0	2	2	0	0	4	0	7.1	"no"	"male"	"yes"	10	2.3665	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	2	0	7	"no"	"female"	"yes"	12	2.3665	"yes"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	2	0	8.3	"no"	"male"	"no"	12	1.8803	"no"	"yes"	"no"	"noreast"	"poor"
1	0	0	0	0	0	1	1	9.4	"no"	"female"	"no"	8	10.2154	"no"	"yes"	"no"	"noreast"	"excellent"
3	0	0	0	0	0	0	0	7.8	"no"	"male"	"yes"	18	3.4	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	1	0	1	0	7.5	"no"	"female"	"yes"	12	3.4	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.6	"no"	"male"	"no"	10	0.803	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	1	0	0	7.5	"no"	"male"	"no"	12	1.2396	"no"	"yes"	"no"	"noreast"	"other"
11	0	0	1	0	0	1	0	6.7	"no"	"female"	"yes"	18	13.5283	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	0	1	2	3	1	7.6	"yes"	"female"	"no"	5	0.3444	"no"	"no"	"yes"	"noreast"	"poor"
3	0	0	0	2	0	0	0	9.1	"yes"	"male"	"yes"	7	1.4208	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	1	1	0	8.2	"yes"	"female"	"yes"	12	1.4208	"no"	"yes"	"no"	"noreast"	"other"
0	0	2	0	0	0	2	0	7.4	"no"	"male"	"no"	6	1.005	"yes"	"yes"	"no"	"noreast"	"other"
7	4	4	0	1	2	2	0	7.1	"no"	"male"	"no"	9	1.3478	"no"	"no"	"no"	"west"	"other"
5	0	0	0	0	0	0	1	8.5	"no"	"female"	"no"	6	0.5232	"no"	"yes"	"no"	"west"	"other"
14	2	1	4	1	1	1	1	7.9	"no"	"female"	"no"	7	0.6094	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7.3	"no"	"male"	"no"	12	0.5808	"no"	"yes"	"yes"	"west"	"other"
15	1	1	0	0	0	2	1	7	"no"	"female"	"no"	12	0.0072	"no"	"yes"	"no"	"west"	"poor"
8	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	9	4.91	"no"	"yes"	"no"	"west"	"other"
8	0	0	2	0	0	4	0	8	"no"	"female"	"no"	18	2.1432	"no"	"yes"	"no"	"west"	"excellent"
3	2	0	0	0	0	1	1	7.1	"no"	"male"	"yes"	8	2.1744	"no"	"yes"	"no"	"west"	"other"
4	0	2	0	0	0	0	0	7	"no"	"female"	"yes"	12	2.1744	"no"	"yes"	"no"	"west"	"other"
9	0	0	1	0	0	1	0	6.7	"no"	"male"	"yes"	13	3.1676	"no"	"yes"	"no"	"west"	"other"
19	1	0	1	1	0	1	0	7	"no"	"male"	"yes"	12	2.3688	"no"	"yes"	"no"	"west"	"other"
3	1	0	1	0	0	0	0	6.7	"no"	"female"	"yes"	8	2.3688	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	14	4.4642	"no"	"yes"	"no"	"west"	"other"
15	0	1	0	0	1	2	1	7	"no"	"female"	"no"	12	0.781808	"no"	"yes"	"no"	"west"	"poor"
6	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	16	0.6375	"no"	"yes"	"no"	"west"	"other"
4	9	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	16	4.5999	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	1	0	1	1	7.9	"no"	"female"	"yes"	10	4.5999	"no"	"yes"	"no"	"west"	"other"
15	11	4	4	0	1	4	0	6.7	"no"	"female"	"no"	12	1.8796	"no"	"yes"	"no"	"west"	"other"
5	1	0	0	0	0	1	1	8.5	"no"	"female"	"no"	12	1.8796	"no"	"yes"	"no"	"west"	"poor"
0	0	0	0	0	0	0	0	7.9	"no"	"female"	"no"	7	4.316	"no"	"yes"	"no"	"west"	"other"
9	1	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	5.0838	"no"	"yes"	"no"	"west"	"other"
9	1	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	12	5.0838	"no"	"yes"	"no"	"west"	"other"
9	10	0	9	1	0	2	0	7.9	"no"	"male"	"yes"	12	1.7697	"no"	"yes"	"no"	"west"	"other"
1	1	0	1	0	0	0	0	6.7	"no"	"female"	"yes"	8	1.7697	"no"	"yes"	"no"	"west"	"other"
6	17	1	0	0	0	1	0	7.3	"no"	"female"	"no"	12	0.5826	"no"	"yes"	"no"	"west"	"other"
10	0	2	0	0	0	1	0	6.8	"no"	"male"	"yes"	17	9.4398	"no"	"yes"	"no"	"west"	"other"
10	0	3	1	0	1	1	0	6.9	"no"	"male"	"yes"	13	1.1706	"no"	"yes"	"no"	"west"	"other"
0	3	0	1	0	0	2	0	6.7	"no"	"female"	"yes"	12	1.1706	"no"	"yes"	"no"	"west"	"other"
9	23	1	0	0	0	0	1	7.5	"no"	"male"	"yes"	11	2.2715	"no"	"yes"	"no"	"west"	"other"
6	4	0	1	0	0	1	1	6.8	"no"	"female"	"yes"	13	2.2715	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	1	6.6	"no"	"male"	"yes"	12	1.6097	"no"	"yes"	"no"	"west"	"excellent"
13	0	0	0	1	1	2	0	8.6	"no"	"female"	"no"	7	0.462	"no"	"yes"	"no"	"west"	"other"
8	2	1	0	0	1	2	0	7.3	"no"	"male"	"yes"	8	7.195	"no"	"yes"	"no"	"west"	"other"
20	4	0	1	0	2	2	1	7.9	"no"	"female"	"no"	7	0.5871	"no"	"yes"	"no"	"west"	"other"
16	1	0	0	1	1	1	1	8.6	"no"	"female"	"no"	7	0.4604	"no"	"yes"	"yes"	"west"	"poor"
2	2	0	0	0	0	2	0	7.1	"no"	"female"	"no"	9	0.432	"no"	"no"	"yes"	"west"	"other"
14	0	4	1	0	0	0	0	8.3	"no"	"female"	"no"	12	0.5782	"no"	"yes"	"no"	"west"	"other"
6	1	0	0	0	0	1	0	7	"no"	"female"	"no"	13	0.6746	"yes"	"no"	"no"	"west"	"excellent"
9	0	1	0	0	0	3	0	7	"no"	"male"	"no"	12	1.4672	"no"	"yes"	"no"	"west"	"other"
8	0	1	0	0	1	4	1	8.3	"no"	"female"	"no"	1	0.9272	"no"	"no"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	7.5	"no"	"male"	"no"	8	1.8726	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	3	0	8	"no"	"male"	"yes"	8	1.8575	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	14	1.8575	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	1	2	3	1	8.6	"no"	"male"	"yes"	10	0.6901	"no"	"no"	"no"	"west"	"other"
11	0	0	0	0	1	2	1	7	"no"	"female"	"no"	11	0.9501	"yes"	"yes"	"no"	"west"	"poor"
8	2	0	0	0	0	1	0	7.5	"no"	"female"	"no"	8	0.799	"no"	"yes"	"no"	"west"	"other"
12	0	0	0	1	0	3	0	7.1	"no"	"female"	"no"	12	0.2688	"no"	"no"	"yes"	"west"	"other"
1	3	0	0	0	0	3	0	7	"no"	"female"	"yes"	12	1.358	"yes"	"yes"	"no"	"west"	"other"
6	0	1	1	0	0	0	0	6.8	"no"	"male"	"yes"	18	2.1235	"yes"	"no"	"no"	"west"	"other"
1	1	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	6	1.8446	"no"	"yes"	"no"	"west"	"other"
4	1	0	3	1	1	1	0	6.7	"no"	"female"	"yes"	11	1.8446	"yes"	"yes"	"no"	"west"	"excellent"
2	5	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	12	3.6757	"no"	"yes"	"no"	"west"	"other"
1	5	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	3.6757	"no"	"yes"	"no"	"west"	"excellent"
11	0	0	1	1	2	4	0	7.9	"no"	"male"	"yes"	11	1.002	"no"	"no"	"yes"	"west"	"poor"
4	0	1	0	0	0	2	0	8.1	"no"	"female"	"yes"	5	1.002	"no"	"no"	"yes"	"west"	"poor"
8	0	0	1	0	0	0	0	7	"no"	"female"	"no"	8	0.4776	"no"	"no"	"yes"	"west"	"other"
2	0	0	0	0	0	2	0	8.6	"no"	"female"	"no"	10	0.444	"no"	"no"	"no"	"west"	"other"
1	0	0	0	0	0	2	0	7.1	"no"	"male"	"yes"	14	3.159	"yes"	"no"	"no"	"west"	"other"
2	0	0	1	2	2	2	1	7.2	"no"	"female"	"yes"	14	3.159	"no"	"yes"	"no"	"west"	"poor"
2	0	0	0	0	0	3	0	7.7	"no"	"male"	"yes"	12	0	"no"	"yes"	"no"	"west"	"other"
13	4	1	0	2	1	2	1	7.6	"no"	"female"	"yes"	11	0	"no"	"yes"	"no"	"west"	"other"
5	13	0	0	0	0	1	1	8.3	"no"	"female"	"no"	18	8.3086	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	2	0	1	1	7.5	"no"	"female"	"no"	12	4.0712	"yes"	"yes"	"no"	"west"	"excellent"
6	2	0	0	0	0	3	1	8.4	"no"	"male"	"no"	13	3.9	"no"	"yes"	"no"	"west"	"other"
18	0	0	0	2	2	3	1	8.8	"no"	"female"	"no"	5	0.0816	"no"	"no"	"yes"	"west"	"other"
2	0	0	0	0	0	0	1	7.2	"no"	"female"	"no"	2	0.5012	"no"	"no"	"yes"	"west"	"other"
9	0	2	0	1	0	2	0	7.9	"no"	"male"	"yes"	5	0.9552	"no"	"no"	"no"	"west"	"other"
9	2	1	0	0	0	3	0	6.6	"no"	"female"	"yes"	3	0.9552	"no"	"no"	"yes"	"west"	"other"
3	0	0	0	0	2	3	0	7.5	"no"	"male"	"yes"	8	0.882	"no"	"no"	"yes"	"west"	"other"
16	0	0	0	0	0	1	0	8.1	"no"	"male"	"yes"	10	0.4896	"no"	"no"	"yes"	"west"	"other"
9	1	0	0	0	0	1	0	7.4	"no"	"female"	"no"	12	0.4904	"no"	"no"	"yes"	"west"	"other"
0	0	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	3	0.9888	"no"	"no"	"yes"	"west"	"other"
6	0	0	3	0	2	2	0	7.2	"no"	"male"	"yes"	12	0.6636	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	7	0.6636	"no"	"no"	"yes"	"west"	"other"
2	1	1	0	0	0	1	0	6.8	"no"	"male"	"yes"	18	4.2105	"no"	"yes"	"no"	"west"	"excellent"
0	0	0	0	0	0	1	0	8	"no"	"male"	"no"	8	6.039	"yes"	"no"	"no"	"west"	"other"
19	0	1	10	0	0	2	0	7.6	"no"	"male"	"yes"	8	1.6002	"yes"	"no"	"yes"	"west"	"poor"
9	3	0	0	0	0	0	0	6.9	"no"	"female"	"no"	12	0.3271	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	1.71	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	1.71	"no"	"yes"	"no"	"west"	"other"
2	27	0	0	0	0	0	0	7.4	"no"	"female"	"no"	12	0.6975	"no"	"no"	"yes"	"west"	"excellent"
6	1	0	0	2	0	0	0	6.9	"no"	"female"	"no"	4	0.714	"no"	"no"	"yes"	"west"	"other"
18	0	0	0	0	0	1	0	6.9	"no"	"female"	"no"	10	1.0693	"no"	"yes"	"no"	"west"	"other"
12	3	3	0	0	0	0	0	6.7	"no"	"female"	"yes"	14	3.5118	"no"	"no"	"no"	"west"	"other"
0	0	6	2	0	1	2	0	6.9	"no"	"male"	"yes"	12	3.5118	"no"	"no"	"no"	"west"	"other"
5	3	0	0	0	0	2	0	6.6	"yes"	"female"	"no"	9	1.1196	"no"	"yes"	"no"	"west"	"other"
2	0	2	0	0	0	0	0	7.6	"no"	"male"	"yes"	10	5.8623	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	16	5.8623	"no"	"yes"	"no"	"west"	"other"
3	0	0	1	2	0	2	0	6.7	"no"	"female"	"yes"	17	5.3052	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	1	0	2	1	6.7	"yes"	"male"	"yes"	2	3.7632	"no"	"no"	"no"	"other"	"poor"
2	0	5	0	0	0	2	0	6.9	"no"	"male"	"yes"	16	4.534	"no"	"yes"	"no"	"other"	"other"
3	14	0	0	1	1	3	0	7.8	"no"	"male"	"yes"	12	0.7963	"no"	"yes"	"no"	"other"	"other"
6	1	0	0	2	0	1	0	7.7	"no"	"female"	"yes"	8	0.7963	"no"	"yes"	"no"	"other"	"other"
2	3	0	0	0	0	1	0	7.8	"no"	"female"	"no"	11	1.5651	"yes"	"yes"	"no"	"other"	"other"
4	0	0	0	3	1	4	0	7.7	"no"	"female"	"no"	3	0.5004	"no"	"no"	"no"	"other"	"poor"
5	1	1	0	3	0	3	0	7.7	"no"	"female"	"no"	13	2.1189	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.7	"no"	"male"	"yes"	5	1.1578	"no"	"no"	"no"	"other"	"other"
7	7	0	0	0	0	4	0	6.6	"no"	"female"	"no"	16	2.1191	"yes"	"yes"	"no"	"other"	"other"
8	2	0	0	0	0	2	0	7.2	"no"	"female"	"no"	12	1.8792	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	12	1.6661	"yes"	"yes"	"no"	"other"	"other"
9	0	0	0	1	0	1	0	6.8	"no"	"male"	"yes"	12	2.4854	"yes"	"yes"	"no"	"other"	"other"
8	0	0	1	0	0	5	0	8	"no"	"male"	"no"	8	0.9632	"no"	"yes"	"no"	"other"	"poor"
5	1	0	0	1	0	3	0	6.8	"no"	"male"	"yes"	7	1.3102	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	11	1.3102	"no"	"yes"	"no"	"other"	"excellent"
4	2	1	0	0	0	0	0	7.4	"no"	"male"	"yes"	7	1.776	"no"	"yes"	"no"	"other"	"excellent"
2	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	8	1.776	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	10	9.4592	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	7	9.4592	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	2	0	2	1	7.2	"yes"	"male"	"no"	2	1.0104	"yes"	"yes"	"no"	"other"	"other"
38	0	1	0	2	4	2	1	7.6	"yes"	"female"	"no"	8	0.031184	"no"	"yes"	"yes"	"other"	"poor"
5	0	2	0	0	0	2	0	6.8	"yes"	"male"	"yes"	1	1.188	"no"	"yes"	"no"	"other"	"other"
7	2	0	2	0	1	0	0	7.4	"no"	"male"	"yes"	9	1.0222	"no"	"yes"	"no"	"other"	"other"
8	1	0	1	0	0	1	0	7	"no"	"female"	"yes"	12	1.0222	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.8	"no"	"female"	"no"	10	0.341352	"no"	"yes"	"no"	"other"	"other"
0	1	16	1	5	4	8	1	6.9	"no"	"female"	"no"	10	0.468	"no"	"no"	"no"	"other"	"poor"
1	0	0	0	0	0	1	1	7.6	"no"	"female"	"no"	8	0.5532	"no"	"no"	"no"	"other"	"poor"
4	0	0	0	0	0	2	0	7	"no"	"female"	"no"	13	1.1374	"no"	"yes"	"no"	"other"	"other"
6	4	0	1	0	0	1	0	7.1	"no"	"female"	"no"	12	1.0798	"no"	"yes"	"no"	"other"	"other"
10	4	0	2	0	0	1	0	7.3	"no"	"female"	"no"	12	0.7409	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	0	0	7	"no"	"female"	"no"	14	1.2536	"no"	"yes"	"no"	"other"	"other"
10	1	1	1	0	1	0	0	7.2	"no"	"male"	"yes"	13	3.8757	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	1	3	0	6.9	"no"	"female"	"yes"	12	3.8757	"no"	"yes"	"no"	"other"	"poor"
2	0	1	0	0	0	1	0	7.2	"no"	"male"	"yes"	9	2.7864	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	7	2.7864	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	8.2	"no"	"male"	"yes"	12	1.4986	"no"	"yes"	"no"	"other"	"other"
5	11	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	14	1.4986	"no"	"yes"	"no"	"other"	"poor"
11	1	2	0	0	0	2	0	6.8	"no"	"male"	"yes"	18	4.4299	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	13	5.4934	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	6.6	"no"	"female"	"yes"	16	5.4934	"no"	"yes"	"no"	"other"	"other"
2	0	3	0	0	1	2	0	6.6	"no"	"male"	"yes"	7	2.022	"no"	"yes"	"no"	"other"	"excellent"
9	0	0	0	0	0	5	1	8.1	"no"	"male"	"yes"	7	1.732	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	1.732	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	12	1.2473	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	1	0	8.8	"no"	"female"	"no"	17	2.9536	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	0	0	2	0	7.6	"no"	"female"	"no"	8	0.6405	"no"	"yes"	"no"	"other"	"other"
0	2	3	0	0	0	1	0	7.6	"no"	"female"	"no"	8	0.5821	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	3.2061	"no"	"yes"	"no"	"other"	"other"
2	0	0	1	1	0	2	0	6.7	"no"	"female"	"yes"	10	3.2061	"yes"	"yes"	"no"	"other"	"excellent"
12	0	0	0	0	0	2	0	6.9	"no"	"female"	"no"	12	1.8172	"no"	"yes"	"no"	"other"	"other"
6	0	2	0	0	1	1	1	7.7	"yes"	"female"	"yes"	14	0.8436	"no"	"yes"	"no"	"other"	"other"
6	0	1	0	0	0	1	1	8.8	"yes"	"male"	"yes"	12	0.8436	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	1	1	0	7.9	"yes"	"male"	"yes"	4	2.465642	"no"	"yes"	"no"	"other"	"other"
9	2	0	0	0	1	1	1	7.9	"no"	"female"	"no"	10	0.48	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	7.2	"no"	"female"	"no"	12	1.7879	"no"	"yes"	"no"	"other"	"other"
17	0	0	3	0	1	1	0	8.1	"no"	"female"	"no"	15	2.2728	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	3	0	7.4	"no"	"male"	"yes"	8	3.7936	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	9	3.7936	"no"	"yes"	"no"	"midwest"	"other"
5	12	0	0	0	0	3	0	7.7	"no"	"male"	"yes"	12	4.7448	"no"	"yes"	"no"	"midwest"	"poor"
11	1	1	0	0	0	3	0	7.2	"no"	"female"	"yes"	12	4.7448	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	2	0	2	1	9.3	"no"	"female"	"no"	7	1.0451	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	2	0	7.8	"no"	"female"	"no"	12	0.8412	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	0	0	8	"no"	"female"	"no"	10	1.862	"no"	"yes"	"no"	"midwest"	"other"
10	3	0	0	0	0	3	0	7.6	"no"	"female"	"no"	6	1.433	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	6	0	7	"no"	"female"	"no"	8	0.7374	"no"	"yes"	"no"	"midwest"	"poor"
8	0	0	0	0	0	6	1	7.2	"no"	"male"	"yes"	12	2.1928	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	0	0	3	1	6.9	"no"	"female"	"yes"	12	2.1928	"no"	"yes"	"no"	"midwest"	"poor"
6	0	0	0	0	0	0	0	7.3	"no"	"male"	"no"	8	1.4171	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	1	0	0	3	0	6.6	"no"	"male"	"yes"	12	0.5753	"yes"	"no"	"no"	"midwest"	"poor"
19	0	0	0	1	0	1	1	7.3	"no"	"female"	"no"	12	0.9827	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	14	4.1753	"no"	"no"	"no"	"midwest"	"excellent"
1	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	14	4.1753	"no"	"no"	"no"	"midwest"	"excellent"
1	0	1	0	0	0	2	0	7.2	"no"	"male"	"no"	8	1.0946	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	8	0.4811	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	1	0	0	0	7.9	"no"	"female"	"no"	8	1.088	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	3	1	7	"no"	"female"	"no"	10	0	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	2	0	7.4	"no"	"female"	"no"	16	1.3721	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	1	7.1	"no"	"female"	"no"	9	0.4848	"no"	"yes"	"yes"	"midwest"	"other"
5	0	0	0	0	0	3	0	7.6	"no"	"male"	"yes"	12	3.775	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	6	0	0	2	0	7.1	"no"	"female"	"yes"	8	3.775	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	4	1	7.8	"no"	"male"	"yes"	8	0.6372	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	0	0	3	0	7.9	"no"	"male"	"yes"	7	1.3114	"no"	"no"	"no"	"midwest"	"other"
17	1	0	4	0	1	5	1	6.8	"no"	"female"	"no"	12	1.7994	"no"	"yes"	"no"	"midwest"	"poor"
2	0	1	1	0	0	3	0	6.7	"no"	"male"	"yes"	12	2.112	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7.4	"no"	"female"	"no"	8	0.2088	"no"	"yes"	"no"	"midwest"	"other"
5	1	1	0	0	0	2	0	7.6	"no"	"male"	"yes"	12	2.5716	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	1	7.2	"no"	"male"	"no"	6	0.5832	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	1	1	3	1	6.6	"no"	"male"	"no"	6	0.6972	"no"	"yes"	"no"	"midwest"	"poor"
3	0	0	1	1	0	3	0	7.6	"no"	"female"	"no"	8	1.1696	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	8.3	"no"	"male"	"yes"	8	2.6339	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	7.8	"no"	"female"	"yes"	8	2.6339	"no"	"yes"	"no"	"midwest"	"other"
21	1	0	0	0	1	1	1	6.6	"no"	"female"	"no"	8	0.4632	"no"	"no"	"no"	"midwest"	"poor"
3	0	0	0	0	0	0	0	8.3	"no"	"female"	"no"	8	0.7914	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	2	2	1	8.1	"no"	"female"	"no"	15	1.3941	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	0	0	2	0	7.5	"no"	"female"	"no"	8	0.432	"no"	"yes"	"yes"	"midwest"	"poor"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	11	0.384	"no"	"yes"	"no"	"midwest"	"excellent"
2	0	0	0	0	0	1	0	7	"no"	"male"	"no"	8	0.8328	"yes"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	8	0.8018	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	7	0.6252	"no"	"no"	"no"	"midwest"	"excellent"
11	0	0	0	0	2	1	1	8.3	"no"	"female"	"no"	8	0.6732	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.7	"no"	"female"	"no"	10	1.7294	"no"	"yes"	"no"	"midwest"	"other"
15	1	0	0	0	0	3	0	7.4	"no"	"male"	"yes"	18	54.8351	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	0	7.3	"no"	"female"	"yes"	16	54.8351	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	8.3	"no"	"male"	"yes"	16	2.0603	"no"	"yes"	"no"	"midwest"	"other"
6	1	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	2.0603	"no"	"yes"	"no"	"midwest"	"other"
12	3	0	0	1	2	4	1	7.7	"no"	"female"	"no"	3	4.3541	"no"	"no"	"yes"	"midwest"	"other"
2	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	12	2.4064	"yes"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	8	1.094	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	1	0	1	0	6.6	"no"	"female"	"yes"	8	1.094	"yes"	"no"	"no"	"midwest"	"other"
17	0	0	0	1	1	0	0	6.8	"no"	"female"	"no"	8	1.05	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	2	0	0	1	0	8.3	"no"	"male"	"yes"	16	3.0608	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	2	0	0	1	0	7.3	"no"	"female"	"yes"	9	3.0608	"no"	"yes"	"no"	"midwest"	"excellent"
6	0	0	0	0	0	2	0	7.7	"no"	"female"	"no"	10	0.5886	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	8.4	"no"	"male"	"yes"	12	3.3237	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	12	5.8888	"yes"	"yes"	"no"	"midwest"	"other"
10	0	5	3	0	0	2	0	6.8	"no"	"female"	"yes"	12	5.8888	"no"	"yes"	"no"	"midwest"	"other"
5	3	0	0	0	0	3	1	8.3	"no"	"male"	"yes"	8	1.7336	"no"	"yes"	"no"	"midwest"	"other"
7	12	2	2	0	0	1	0	7.9	"no"	"female"	"yes"	10	1.7336	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	2	0	6.8	"no"	"female"	"no"	9	0.618	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	3	1	7.6	"no"	"male"	"no"	10	1.0365	"no"	"yes"	"no"	"midwest"	"poor"
8	11	1	1	0	0	1	0	8.6	"no"	"male"	"yes"	6	1.52	"no"	"yes"	"no"	"midwest"	"other"
1	11	0	0	0	0	3	0	8.3	"no"	"female"	"yes"	8	1.52	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	3	2	0	7.4	"no"	"female"	"no"	4	5.0031	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	4	5.4572	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	6	1.1496	"no"	"no"	"no"	"midwest"	"other"
2	0	3	1	0	1	3	0	6.8	"no"	"female"	"yes"	7	1.1496	"no"	"no"	"yes"	"midwest"	"other"
2	1	0	1	0	0	2	0	7.4	"no"	"female"	"no"	7	0.2487	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	2.7559	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	12	2.7559	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	8	1.8873	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	3	1	2	1	9.3	"no"	"male"	"yes"	6	2.2115	"no"	"yes"	"no"	"midwest"	"poor"
5	0	1	1	0	0	4	0	7.4	"no"	"female"	"yes"	6	2.2115	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	2	0	7.6	"no"	"male"	"yes"	12	3.4038	"no"	"yes"	"no"	"midwest"	"other"
9	3	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	11	3.4038	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	2.373	"no"	"no"	"no"	"midwest"	"other"
8	2	0	2	0	0	2	0	6.9	"no"	"female"	"no"	10	1.0444	"no"	"yes"	"no"	"midwest"	"other"
9	0	2	0	0	0	2	0	7.6	"no"	"male"	"yes"	16	2.8277	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	1	8.9	"no"	"female"	"no"	8	0.48	"no"	"no"	"no"	"midwest"	"other"
4	1	0	1	0	0	2	0	6.8	"no"	"female"	"yes"	14	3.9779	"no"	"yes"	"no"	"midwest"	"other"
10	2	0	4	0	0	3	0	7.3	"no"	"female"	"no"	12	3.9779	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.4	"no"	"female"	"no"	12	1.1	"no"	"no"	"no"	"midwest"	"other"
3	1	29	1	1	5	2	1	6.7	"no"	"male"	"yes"	12	5.8936	"no"	"yes"	"no"	"midwest"	"other"
5	0	3	0	0	0	2	0	6.7	"no"	"female"	"yes"	12	5.8936	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	12	1.362	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	9	1.362	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	2.1403	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	1	0	0	1	0	7	"no"	"female"	"yes"	12	2.1403	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	1	0	1	0	0	6.6	"no"	"male"	"yes"	16	1.7572	"no"	"yes"	"no"	"other"	"excellent"
3	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	1.7572	"no"	"yes"	"no"	"other"	"excellent"
2	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	14	2.7562	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	8	2.7562	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.7	"no"	"male"	"yes"	8	3.3568	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	2	1	6.8	"no"	"male"	"yes"	6	1.092	"no"	"no"	"yes"	"other"	"other"
4	0	0	7	1	2	2	0	7	"no"	"female"	"yes"	4	1.092	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	0	0	6.7	"yes"	"male"	"yes"	7	5.695	"yes"	"no"	"no"	"other"	"excellent"
0	0	0	0	0	0	2	0	7.1	"yes"	"male"	"no"	5	1.21	"yes"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	7.2	"yes"	"female"	"no"	2	0.426	"no"	"no"	"yes"	"other"	"other"
7	0	0	0	1	1	2	0	7.7	"no"	"female"	"no"	12	10.4379	"no"	"no"	"no"	"other"	"poor"
3	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	8	7.834	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	12	8.7657	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	12	8.7657	"no"	"yes"	"no"	"other"	"other"
10	0	1	1	1	1	1	0	6.6	"no"	"male"	"no"	12	3.1092	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	2	2	3	0	8.4	"yes"	"female"	"no"	12	0.7776	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	3	0	7.4	"yes"	"female"	"no"	4	0.324	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.9	"yes"	"female"	"no"	5	1.9	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	0	0	6.8	"yes"	"male"	"yes"	4	7.2908	"no"	"no"	"no"	"other"	"other"
6	0	0	0	0	0	2	1	7.1	"no"	"female"	"no"	10	4.3908	"no"	"no"	"yes"	"other"	"other"
7	3	0	0	0	0	4	0	6.6	"no"	"female"	"yes"	16	4.2597	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	12	3.9731	"no"	"yes"	"no"	"other"	"other"
5	14	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	13	3.9731	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	8	0.8664	"yes"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	3	1	7.8	"no"	"female"	"no"	13	1.3832	"no"	"yes"	"no"	"other"	"other"
11	17	2	0	1	0	4	0	6.6	"no"	"male"	"yes"	12	3.2946	"no"	"yes"	"no"	"other"	"other"
13	2	2	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	3.2946	"no"	"yes"	"no"	"other"	"other"
7	1	0	0	0	0	2	1	8.5	"no"	"female"	"no"	7	0.5148	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	3	0	7.5	"yes"	"female"	"no"	4	1.0595	"no"	"yes"	"no"	"midwest"	"excellent"
7	0	1	0	0	1	4	0	7.5	"no"	"male"	"no"	16	4.8871	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	0	0	0	6.6	"no"	"male"	"yes"	11	3.285929	"yes"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	2	0	6.8	"no"	"female"	"yes"	11	6.5923	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	2	1	9.1	"no"	"male"	"no"	6	6.5923	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	1	8.8	"no"	"female"	"no"	0	6.8811	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	2	0	7	"no"	"male"	"yes"	12	0.7697	"no"	"yes"	"no"	"midwest"	"other"
9	4	0	0	1	0	2	1	7.8	"yes"	"female"	"no"	4	0.408	"no"	"no"	"yes"	"other"	"other"
0	30	1	37	0	0	3	0	6.7	"yes"	"male"	"yes"	12	1.268	"yes"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	3	0	7.5	"no"	"female"	"yes"	12	1.505	"yes"	"yes"	"no"	"other"	"other"
8	0	0	0	0	1	1	0	7.9	"no"	"female"	"no"	12	3.535403	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.7	"no"	"female"	"no"	12	0.7983	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	2	0	7	"no"	"female"	"no"	12	1.4006	"yes"	"yes"	"no"	"other"	"excellent"
17	0	0	1	0	1	2	0	6.8	"no"	"male"	"yes"	12	3.3084	"no"	"yes"	"no"	"other"	"other"
5	0	1	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	3.3084	"no"	"yes"	"no"	"other"	"other"
2	0	1	0	0	0	1	0	7	"yes"	"female"	"no"	8	2.264	"yes"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	8.2	"yes"	"male"	"yes"	7	1.6176	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	2	2	5	0	7.9	"yes"	"female"	"yes"	10	1.6176	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	7.9	"yes"	"female"	"no"	3	1.6176	"no"	"yes"	"no"	"other"	"other"
9	0	0	0	1	0	2	0	6.6	"no"	"male"	"yes"	16	1.9991	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.9	"yes"	"female"	"no"	5	8.2864	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.7	"no"	"female"	"yes"	12	0.972	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.9	"yes"	"female"	"no"	16	0.9352	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.3	"yes"	"male"	"yes"	9	1.2234	"no"	"yes"	"no"	"other"	"other"
15	0	0	0	1	1	3	0	7.8	"yes"	"male"	"yes"	2	4.7594	"no"	"yes"	"no"	"other"	"poor"
16	0	0	0	0	0	3	0	7.5	"yes"	"female"	"yes"	5	4.7594	"no"	"yes"	"no"	"other"	"poor"
2	0	0	0	0	0	0	0	7	"no"	"female"	"no"	12	1.1157	"no"	"yes"	"no"	"other"	"other"
0	0	3	0	0	0	1	0	6.9	"no"	"female"	"no"	13	0.6936	"no"	"no"	"no"	"other"	"poor"
4	3	0	1	0	0	5	1	8.7	"no"	"male"	"yes"	14	1.7066	"no"	"yes"	"no"	"other"	"other"
2	1	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	12	1.7066	"no"	"yes"	"no"	"other"	"other"
6	0	1	0	2	1	4	1	8.2	"no"	"female"	"no"	12	2.3674	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	1	7	"no"	"female"	"no"	6	0.5276	"no"	"yes"	"no"	"midwest"	"other"
3	5	0	0	0	0	1	0	8.7	"no"	"female"	"no"	12	1.793	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7	"no"	"male"	"no"	12	6.4928	"yes"	"yes"	"no"	"midwest"	"excellent"
8	3	0	0	0	0	1	0	8.6	"no"	"female"	"no"	10	1.5508	"no"	"yes"	"no"	"midwest"	"other"
0	0	5	2	0	0	3	0	7.3	"no"	"male"	"yes"	12	3.0961	"no"	"yes"	"no"	"midwest"	"poor"
1	1	0	0	0	0	0	0	7	"no"	"female"	"yes"	12	3.0961	"no"	"yes"	"no"	"midwest"	"other"
1	2	0	0	0	0	0	0	7.2	"no"	"female"	"no"	16	3.0277	"no"	"yes"	"no"	"midwest"	"other"
3	1	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	18	6.1095	"yes"	"yes"	"no"	"midwest"	"other"
4	1	2	0	0	0	2	0	6.7	"no"	"female"	"yes"	12	1.718	"yes"	"yes"	"no"	"midwest"	"other"
0	1	2	0	0	0	2	0	8.1	"no"	"male"	"yes"	13	1.1544	"no"	"no"	"no"	"midwest"	"other"
5	3	0	0	0	1	1	0	7.1	"no"	"female"	"yes"	12	1.1544	"no"	"no"	"no"	"midwest"	"other"
3	1	0	0	0	0	0	0	7	"no"	"female"	"no"	12	2.4644	"no"	"yes"	"no"	"midwest"	"excellent"
7	9	0	0	0	0	3	0	8.9	"no"	"female"	"no"	8	0.4585	"no"	"no"	"no"	"midwest"	"other"
3	0	1	0	0	1	4	0	6.8	"no"	"male"	"yes"	11	0.397	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	3	0	7.4	"no"	"female"	"yes"	11	0.397	"no"	"yes"	"no"	"midwest"	"other"
22	3	0	1	0	0	1	0	7.7	"no"	"female"	"no"	18	3.4442	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	3	0	6.7	"no"	"male"	"no"	13	2.3768	"yes"	"yes"	"no"	"midwest"	"other"
1	3	0	0	0	0	0	0	7.7	"no"	"male"	"no"	11	0.9223	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	1	0	0	0	6.6	"no"	"male"	"yes"	16	2.7404	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	2.7404	"no"	"yes"	"no"	"midwest"	"other"
10	0	0	0	1	1	5	1	8.5	"no"	"female"	"no"	7	2.7617	"no"	"no"	"yes"	"midwest"	"other"
4	0	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	13	4.6331	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	1	0	0	1	0	7.5	"no"	"female"	"yes"	16	4.6331	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	1	6.6	"no"	"male"	"no"	4	1.2396	"no"	"yes"	"no"	"midwest"	"other"
4	25	0	0	0	0	3	0	7.9	"no"	"male"	"yes"	8	1.9635	"no"	"yes"	"no"	"midwest"	"other"
9	26	2	1	1	0	1	0	7.4	"no"	"female"	"yes"	10	1.9635	"no"	"yes"	"no"	"midwest"	"other"
6	3	0	0	2	2	1	1	8.6	"no"	"female"	"no"	9	1.1376	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	0	0	2	0	8.2	"yes"	"female"	"no"	0	0.6984	"no"	"no"	"yes"	"midwest"	"poor"
2	0	0	0	0	0	1	0	8.4	"no"	"female"	"no"	10	1.2411	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	1	7.4	"no"	"male"	"yes"	12	1.8576	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	4	0	7.6	"no"	"female"	"yes"	12	1.8576	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	1	1	1	9.4	"no"	"female"	"no"	6	1.1119	"no"	"no"	"yes"	"midwest"	"other"
1	0	0	1	0	0	0	0	6.8	"no"	"female"	"no"	8	1.1119	"no"	"yes"	"no"	"midwest"	"other"
13	1	0	0	2	2	3	0	6.6	"no"	"male"	"yes"	13	3.3629	"yes"	"yes"	"no"	"midwest"	"excellent"
3	0	2	0	0	0	3	0	6.7	"no"	"female"	"yes"	15	3.3629	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	0	0	7.4	"yes"	"male"	"no"	7	0.6624	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.3	"yes"	"male"	"yes"	8	5.1321	"no"	"no"	"no"	"west"	"excellent"
1	0	0	0	0	0	0	0	8	"yes"	"female"	"yes"	9	5.1321	"no"	"no"	"no"	"west"	"other"
22	0	0	0	0	0	2	1	7.3	"yes"	"female"	"yes"	11	0.9084	"no"	"yes"	"yes"	"west"	"other"
1	0	0	0	0	0	0	0	7.6	"yes"	"male"	"yes"	11	0.9084	"no"	"no"	"no"	"west"	"other"
9	0	0	0	1	4	2	1	9.1	"no"	"male"	"yes"	6	0.6336	"no"	"no"	"no"	"west"	"other"
5	0	5	0	0	1	2	1	7.4	"no"	"female"	"no"	6	0.696	"no"	"no"	"yes"	"west"	"poor"
6	4	0	0	0	0	1	1	7.4	"no"	"male"	"no"	10	0.792	"no"	"yes"	"yes"	"west"	"other"
14	0	0	0	0	1	4	1	8.6	"no"	"female"	"no"	16	0.8206	"no"	"no"	"yes"	"west"	"poor"
6	2	0	0	0	0	1	1	9	"no"	"male"	"no"	0	1.5768	"no"	"yes"	"yes"	"west"	"other"
3	0	0	0	0	0	1	0	8.1	"yes"	"female"	"no"	12	0.6	"no"	"no"	"yes"	"west"	"other"
13	6	0	0	0	2	6	0	8.3	"no"	"female"	"no"	12	0	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	4	1	8	"no"	"female"	"no"	12	4.6707	"no"	"no"	"no"	"west"	"poor"
0	12	0	0	0	0	0	0	8	"no"	"male"	"yes"	10	1.7833	"no"	"no"	"no"	"west"	"other"
0	26	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	10	1.7833	"no"	"no"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	12	1.63	"yes"	"no"	"no"	"west"	"other"
17	0	2	0	0	0	3	0	7	"no"	"female"	"yes"	13	0.756	"no"	"yes"	"no"	"west"	"other"
8	0	0	0	0	0	2	0	8	"no"	"female"	"no"	7	0.5844	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	12	1.0868	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	4	1	9.2	"no"	"female"	"no"	10	4.4649	"no"	"yes"	"yes"	"west"	"other"
5	2	0	0	0	0	1	0	6.9	"no"	"female"	"no"	14	1.2836	"yes"	"yes"	"no"	"west"	"other"
6	1	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	13	4.6915	"yes"	"yes"	"no"	"west"	"excellent"
7	6	1	0	0	0	1	0	6.9	"no"	"female"	"yes"	14	4.6915	"no"	"yes"	"no"	"west"	"excellent"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	15	18.0676	"yes"	"yes"	"no"	"west"	"other"
7	1	1	0	0	0	2	0	7.5	"no"	"female"	"yes"	12	18.0676	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	3	0	8.3	"no"	"female"	"no"	12	7.3232	"yes"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	5	0	6.6	"no"	"female"	"yes"	13	3.1363	"no"	"no"	"no"	"west"	"other"
11	0	1	0	0	0	1	0	8.1	"no"	"female"	"no"	12	1.1764	"no"	"yes"	"no"	"west"	"other"
7	1	1	0	1	2	4	0	6.8	"no"	"female"	"no"	12	0.9588	"no"	"yes"	"no"	"west"	"other"
14	0	0	1	1	1	2	1	7	"no"	"female"	"no"	4	2.7424	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	0	0	2	0	7.5	"no"	"female"	"no"	8	0.783	"no"	"yes"	"no"	"west"	"other"
5	0	1	0	0	0	1	0	7	"no"	"female"	"no"	11	0.5058	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	1	1	3	0	8	"no"	"male"	"yes"	12	0.39046	"no"	"no"	"yes"	"west"	"other"
13	1	0	0	0	0	2	0	6.8	"no"	"female"	"no"	12	2.7472	"no"	"yes"	"no"	"west"	"other"
7	4	0	0	0	0	1	0	6.8	"no"	"male"	"no"	9	1.356	"no"	"no"	"no"	"west"	"other"
1	3	0	1	0	0	2	0	7.7	"no"	"female"	"no"	15	1.4076	"no"	"yes"	"no"	"west"	"other"
9	4	0	0	0	1	0	0	7.3	"no"	"male"	"yes"	14	5.8148	"no"	"yes"	"no"	"west"	"other"
4	5	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	5.8148	"no"	"yes"	"no"	"west"	"other"
7	49	0	0	1	0	1	0	7.5	"no"	"female"	"yes"	12	3.1277	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	13	3.1277	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	1	0	7	"no"	"female"	"no"	16	1.6635	"no"	"yes"	"no"	"west"	"excellent"
0	0	0	0	0	0	0	0	8.3	"no"	"female"	"no"	16	1.19	"no"	"yes"	"no"	"west"	"excellent"
7	0	0	0	1	2	0	0	7.2	"no"	"male"	"no"	9	2.566411	"no"	"yes"	"no"	"west"	"other"
14	9	0	1	0	0	2	0	7.1	"yes"	"male"	"yes"	12	2.5351	"no"	"yes"	"no"	"west"	"other"
16	2	0	0	0	0	0	0	7.1	"yes"	"female"	"yes"	14	2.5351	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	12	2.53	"no"	"yes"	"no"	"west"	"other"
5	1	0	1	1	0	0	0	6.8	"no"	"female"	"yes"	13	2.53	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	3	0	6.8	"no"	"female"	"no"	11	0.6569	"no"	"yes"	"no"	"west"	"other"
3	0	3	0	0	0	2	0	7	"no"	"male"	"no"	12	2.5894	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	12	1.7652	"no"	"yes"	"no"	"west"	"other"
18	1	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	3.5029	"no"	"yes"	"no"	"west"	"other"
31	0	0	1	0	0	3	0	6.6	"no"	"male"	"yes"	14	3.5029	"yes"	"yes"	"no"	"west"	"other"
1	0	0	0	1	1	2	0	6.9	"no"	"male"	"yes"	12	4.2804	"no"	"yes"	"no"	"west"	"other"
8	0	0	0	0	1	2	0	7.4	"yes"	"female"	"yes"	7	1.2448	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	8.1	"yes"	"male"	"yes"	9	1.2448	"no"	"no"	"no"	"other"	"other"
1	0	1	0	0	0	2	0	7.4	"yes"	"female"	"yes"	8	0	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7.4	"yes"	"male"	"yes"	8	0	"no"	"no"	"yes"	"other"	"other"
10	0	1	0	0	0	0	0	8	"yes"	"male"	"no"	12	1.7556	"yes"	"no"	"no"	"other"	"other"
4	0	0	0	0	0	1	0	7.1	"yes"	"female"	"no"	9	2.7656	"yes"	"yes"	"no"	"other"	"other"
8	0	0	0	8	2	7	0	6.7	"yes"	"female"	"no"	9	0.387945	"no"	"no"	"no"	"other"	"poor"
0	0	6	0	0	0	1	1	7.1	"yes"	"male"	"no"	10	0.6818	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	0	0	3	0	6.7	"no"	"male"	"yes"	8	4.572	"no"	"yes"	"no"	"other"	"other"
9	0	0	0	0	1	3	0	6.7	"no"	"female"	"no"	3	2.804	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	8.3	"no"	"female"	"no"	8	0.3648	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	0	0	8	"no"	"female"	"no"	12	0.4001	"no"	"no"	"no"	"other"	"poor"
7	0	0	4	0	0	3	0	7.7	"no"	"female"	"no"	15	1.09	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	3	0	6.8	"no"	"male"	"no"	14	2.8803	"yes"	"yes"	"no"	"other"	"other"
6	4	0	3	3	2	4	0	6.6	"no"	"male"	"yes"	12	5.812	"yes"	"yes"	"no"	"other"	"other"
4	0	1	1	0	1	4	1	7.8	"no"	"male"	"yes"	10	2.1233	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	8	2.1233	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	1	0	0	0	9.4	"no"	"female"	"no"	11	3.1171	"no"	"yes"	"no"	"midwest"	"other"
3	2	0	1	0	0	0	0	9	"no"	"female"	"no"	9	3.1171	"no"	"yes"	"no"	"midwest"	"other"
4	0	1	0	0	1	1	0	6.8	"no"	"male"	"no"	8	1.5376	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	2	1	7.3	"no"	"male"	"yes"	12	0.9252	"no"	"no"	"no"	"midwest"	"other"
24	0	0	0	2	2	4	1	6.8	"no"	"female"	"yes"	11	0.9252	"no"	"no"	"yes"	"midwest"	"poor"
0	0	0	0	0	0	1	1	7.9	"no"	"female"	"no"	12	0.48	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	8.5	"no"	"female"	"no"	8	0.3996	"no"	"yes"	"no"	"midwest"	"other"
17	0	0	0	0	0	3	0	8.1	"no"	"male"	"yes"	8	3.2164	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	12	3.2164	"no"	"yes"	"no"	"midwest"	"other"
2	4	1	0	0	0	1	0	7.1	"no"	"female"	"yes"	15	2.7628	"no"	"yes"	"no"	"midwest"	"excellent"
14	14	1	1	0	0	1	0	7	"no"	"male"	"yes"	12	2.7628	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	11	2.2728	"yes"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	2	0	8.2	"no"	"male"	"yes"	8	4.0857	"yes"	"yes"	"no"	"midwest"	"excellent"
12	0	2	0	0	3	3	0	8.1	"no"	"female"	"yes"	8	4.0857	"no"	"yes"	"no"	"midwest"	"other"
3	7	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	8	1.8267	"no"	"no"	"no"	"midwest"	"other"
0	0	2	0	0	0	1	0	7	"no"	"male"	"yes"	12	1.8267	"no"	"no"	"no"	"midwest"	"other"
2	1	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	3.0683	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	0	0	0	1	1	8.8	"no"	"female"	"no"	8	2.351724	"no"	"yes"	"no"	"midwest"	"other"
5	0	2	0	0	1	1	0	7.4	"no"	"male"	"yes"	13	3.8082	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	3.8082	"no"	"yes"	"no"	"midwest"	"other"
13	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	8	0.4848	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	0	1	9.7	"yes"	"female"	"no"	8	0.4085	"no"	"no"	"no"	"midwest"	"other"
3	0	2	0	0	0	1	0	7.1	"no"	"female"	"no"	8	0.8568	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	14	0.3952	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	8	0.9137	"no"	"yes"	"no"	"midwest"	"excellent"
2	0	0	0	1	0	1	0	7.4	"no"	"male"	"yes"	8	2.3086	"yes"	"yes"	"no"	"midwest"	"other"
17	5	2	3	0	1	1	0	7.2	"no"	"female"	"yes"	12	2.3086	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	6	1.0152	"no"	"no"	"no"	"midwest"	"other"
9	0	0	0	0	0	2	0	8.2	"no"	"male"	"yes"	8	4.3478	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	2	0	7.1	"no"	"female"	"yes"	12	4.3478	"no"	"yes"	"no"	"midwest"	"other"
8	0	1	1	0	0	2	0	8.3	"no"	"male"	"yes"	8	0.9015	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	12	0.9015	"no"	"yes"	"no"	"midwest"	"other"
12	0	1	0	0	0	1	0	7.3	"no"	"male"	"yes"	12	5.2041	"no"	"yes"	"no"	"midwest"	"other"
6	0	2	0	0	1	0	0	6.9	"no"	"female"	"yes"	12	5.2041	"no"	"yes"	"no"	"midwest"	"other"
0	0	2	0	1	1	0	0	8.1	"no"	"male"	"yes"	8	4.5881	"no"	"yes"	"no"	"midwest"	"other"
5	0	2	0	0	0	2	1	7.7	"no"	"female"	"yes"	16	4.5881	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	9.2	"no"	"female"	"no"	8	4.5448	"no"	"no"	"no"	"midwest"	"other"
1	0	2	0	0	1	0	0	7.5	"no"	"female"	"no"	9	0.7206	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	12	1.0278	"no"	"yes"	"no"	"midwest"	"excellent"
3	0	0	0	0	0	2	0	7.2	"no"	"male"	"yes"	12	1.7606	"no"	"yes"	"no"	"midwest"	"other"
2	1	1	0	1	1	1	0	6.7	"no"	"female"	"yes"	8	1.7606	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	2	0	7.1	"no"	"male"	"no"	8	1.2032	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	0	7.1	"no"	"female"	"no"	17	1.4392	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	0	8.2	"no"	"female"	"no"	11	2.2096	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	1	2	1	7.6	"no"	"female"	"no"	8	0.6228	"no"	"yes"	"yes"	"midwest"	"other"
7	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	17	1.0826	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7	"no"	"female"	"no"	8	1.3808	"yes"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	0	0	6.8	"no"	"male"	"no"	8	1.3808	"no"	"yes"	"no"	"midwest"	"other"
1	0	1	0	0	0	0	0	8.3	"no"	"male"	"yes"	8	3.2552	"no"	"yes"	"no"	"midwest"	"other"
2	0	14	0	0	2	3	0	7.5	"no"	"male"	"yes"	8	0.84	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	8	0.84	"no"	"yes"	"no"	"midwest"	"other"
17	18	0	0	1	0	3	0	7.5	"no"	"female"	"no"	8	1.5931	"no"	"yes"	"no"	"midwest"	"other"
19	1	0	0	1	0	5	1	7.1	"no"	"male"	"yes"	12	4.2637	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	5	0	0	1	0	7.4	"no"	"female"	"yes"	12	4.2637	"no"	"yes"	"no"	"midwest"	"other"
9	0	1	0	0	2	1	0	8.1	"no"	"female"	"no"	13	2.5057	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	1	0	1	0	8.2	"no"	"female"	"no"	12	1.1766	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	0	2	1	9.1	"no"	"male"	"yes"	14	3.0348	"no"	"yes"	"no"	"midwest"	"other"
8	0	3	0	0	0	1	1	9	"no"	"female"	"yes"	16	3.0348	"no"	"yes"	"no"	"midwest"	"other"
4	12	0	0	0	0	0	0	7	"no"	"female"	"no"	12	1.0824	"no"	"yes"	"no"	"midwest"	"excellent"
4	0	14	51	0	1	3	0	7.5	"no"	"male"	"yes"	12	2.4253	"no"	"yes"	"no"	"midwest"	"other"
3	5	1	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	2.4253	"no"	"yes"	"no"	"midwest"	"other"
5	0	1	0	0	0	1	0	6.8	"no"	"male"	"yes"	8	2.5363	"yes"	"yes"	"no"	"midwest"	"other"
8	9	0	0	0	0	0	0	6.8	"no"	"female"	"no"	16	1.166	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	0	0	0	0	7.3	"no"	"female"	"no"	12	0.994623	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.6	"no"	"male"	"no"	12	1.8345	"no"	"no"	"no"	"midwest"	"other"
10	0	0	0	0	1	1	0	7.1	"no"	"female"	"no"	7	1.3631	"yes"	"yes"	"no"	"midwest"	"other"
7	0	0	32	0	0	1	1	7.4	"no"	"female"	"no"	8	0.4488	"no"	"no"	"yes"	"midwest"	"other"
4	0	0	0	0	1	1	0	7.1	"no"	"male"	"yes"	14	1	"no"	"yes"	"no"	"midwest"	"excellent"
5	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	12	1	"no"	"yes"	"no"	"midwest"	"excellent"
1	0	0	0	0	0	0	0	7	"no"	"female"	"no"	13	1.8421	"no"	"yes"	"no"	"midwest"	"excellent"
6	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	9	1.0084	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	0	1	0	7.2	"no"	"female"	"yes"	5	1.0084	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	1	0	0	0	7.1	"no"	"male"	"no"	12	1.2292	"no"	"yes"	"no"	"midwest"	"other"
11	0	5	0	0	0	2	0	8.2	"no"	"female"	"no"	9	0.4625	"no"	"yes"	"no"	"midwest"	"other"
3	35	3	34	0	0	1	1	6.9	"no"	"male"	"no"	7	1.8312	"no"	"yes"	"no"	"midwest"	"other"
4	1	1	0	0	0	0	0	6.9	"no"	"male"	"yes"	12	5.2874	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7.3	"no"	"female"	"no"	10	3.6244	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	1	3	0	8.8	"no"	"female"	"no"	13	4.12	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	12	1.7692	"no"	"yes"	"no"	"midwest"	"other"
21	4	2	1	0	0	2	0	6.8	"no"	"female"	"yes"	9	1.7692	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.9	"no"	"female"	"no"	12	1.9115	"no"	"yes"	"no"	"midwest"	"other"
12	0	1	5	0	0	3	0	7	"no"	"male"	"yes"	12	7.8697	"no"	"yes"	"no"	"midwest"	"other"
1	0	1	0	0	0	0	0	7.8	"no"	"male"	"no"	16	2.402	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	4	0	7.2	"no"	"male"	"yes"	8	1.8819	"yes"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	8	1.8819	"no"	"yes"	"no"	"midwest"	"other"
13	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	8	2.964	"yes"	"yes"	"no"	"midwest"	"other"
7	0	0	6	0	0	3	0	6.9	"no"	"male"	"yes"	12	2.94	"yes"	"yes"	"no"	"midwest"	"other"
0	1	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	12	2.94	"no"	"yes"	"no"	"midwest"	"other"
4	0	1	2	0	0	3	0	7	"no"	"female"	"no"	10	0.7044	"no"	"yes"	"no"	"midwest"	"other"
19	5	0	1	0	0	2	1	8.1	"no"	"female"	"no"	8	3.2077	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	1	0	0	0	1	6.7	"no"	"male"	"yes"	12	1.1684	"no"	"yes"	"no"	"midwest"	"other"
7	2	0	1	0	0	4	0	6.8	"no"	"female"	"yes"	12	1.1684	"no"	"yes"	"no"	"midwest"	"other"
5	0	1	0	1	0	0	0	6.8	"no"	"male"	"no"	12	2.0316	"no"	"yes"	"no"	"midwest"	"other"
14	6	0	0	0	0	1	0	7.5	"no"	"female"	"no"	8	1.2476	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7	"no"	"male"	"no"	7	1.6624	"no"	"yes"	"no"	"midwest"	"other"
5	4	0	0	0	0	1	1	7.5	"no"	"female"	"yes"	7	0.6336	"no"	"no"	"yes"	"midwest"	"other"
7	0	0	0	1	0	1	0	8.2	"no"	"female"	"no"	12	0.7476	"no"	"yes"	"no"	"midwest"	"other"
16	10	0	0	0	1	1	1	6.9	"no"	"female"	"no"	10	0.9184	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	7	2.188	"no"	"yes"	"no"	"midwest"	"other"
10	0	2	0	1	8	5	1	7.4	"no"	"male"	"yes"	8	3.648647	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	3.648647	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	0	0	0	6.9	"no"	"female"	"no"	11	0.5508	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	12	5.7622	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	11	5.7622	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.7	"no"	"female"	"no"	8	0.8638	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	6	2.2926	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	1	9.1	"no"	"female"	"no"	14	1.9064	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	6	1.1302	"no"	"yes"	"no"	"midwest"	"excellent"
1	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	6	1.1302	"no"	"yes"	"no"	"midwest"	"excellent"
5	0	0	1	0	1	2	1	7.3	"no"	"male"	"yes"	12	2.1556	"no"	"yes"	"no"	"midwest"	"poor"
7	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	2.1556	"no"	"yes"	"no"	"midwest"	"other"
11	14	0	0	2	0	5	1	8	"no"	"female"	"no"	8	0.2772	"no"	"yes"	"no"	"midwest"	"poor"
12	3	0	8	2	0	1	0	7.2	"no"	"female"	"no"	11	14.133	"yes"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	0	8.8	"no"	"female"	"no"	5	0.48	"no"	"yes"	"no"	"midwest"	"other"
10	0	0	1	2	2	6	1	7.4	"no"	"male"	"yes"	8	0.6436	"no"	"yes"	"no"	"midwest"	"poor"
4	0	0	0	0	0	2	0	7.6	"no"	"female"	"yes"	12	0.6436	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	6	1.4238	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	1	0	3	1	7.2	"no"	"male"	"yes"	8	0.9095	"no"	"no"	"no"	"midwest"	"poor"
6	0	0	3	1	1	0	0	6.8	"no"	"female"	"yes"	11	0.9095	"no"	"no"	"no"	"midwest"	"other"
0	0	3	0	0	0	2	0	7.5	"no"	"male"	"yes"	12	2.1635	"yes"	"yes"	"no"	"midwest"	"other"
4	15	0	1	0	0	1	0	6.8	"no"	"female"	"yes"	12	2.1635	"yes"	"yes"	"no"	"midwest"	"other"
3	0	0	1	0	0	5	1	6.9	"no"	"male"	"yes"	12	2.8822	"no"	"yes"	"no"	"midwest"	"other"
1	10	2	0	0	0	1	0	7.2	"no"	"male"	"yes"	10	1.1804	"no"	"yes"	"no"	"midwest"	"poor"
6	0	1	4	0	1	2	0	7.3	"no"	"female"	"no"	7	0.3744	"no"	"yes"	"no"	"midwest"	"other"
13	0	0	1	0	0	4	1	8.1	"no"	"female"	"no"	12	1.08	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	10	4.9392	"no"	"yes"	"no"	"midwest"	"other"
8	0	1	1	0	0	5	0	7.3	"no"	"female"	"yes"	8	4.9392	"no"	"yes"	"no"	"midwest"	"other"
2	1	0	0	0	0	0	0	6.6	"no"	"female"	"no"	10	1.86	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	3	0	7.3	"no"	"male"	"yes"	14	1.7705	"no"	"yes"	"no"	"midwest"	"other"
9	0	1	0	0	1	2	0	7.5	"no"	"female"	"yes"	12	1.7705	"no"	"yes"	"no"	"midwest"	"other"
5	1	0	0	0	0	0	0	7.5	"no"	"male"	"yes"	10	3.1596	"no"	"no"	"no"	"midwest"	"other"
15	0	0	0	0	2	1	0	6.9	"no"	"female"	"yes"	12	3.1596	"no"	"no"	"no"	"midwest"	"other"
5	0	1	0	0	0	1	0	7.3	"no"	"female"	"no"	16	2.6459	"no"	"yes"	"no"	"midwest"	"other"
9	4	0	0	0	0	2	0	7.6	"no"	"male"	"no"	18	8.6687	"yes"	"yes"	"no"	"west"	"other"
6	0	0	0	0	0	5	1	8.4	"no"	"male"	"yes"	8	0.6624	"no"	"no"	"yes"	"west"	"poor"
11	0	0	0	0	0	2	1	7.5	"no"	"female"	"yes"	8	0.6624	"no"	"no"	"yes"	"west"	"other"
0	0	0	0	0	0	3	0	6.9	"no"	"male"	"yes"	8	2.1888	"no"	"yes"	"no"	"west"	"other"
6	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	0	1.0146	"no"	"no"	"yes"	"west"	"other"
6	1	16	1	4	0	3	1	7.6	"no"	"female"	"no"	8	1.3017	"no"	"no"	"yes"	"west"	"poor"
4	5	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	4	3.1806	"no"	"yes"	"no"	"west"	"other"
12	4	0	0	0	0	1	0	7.5	"no"	"male"	"yes"	18	2.6494	"no"	"yes"	"no"	"west"	"excellent"
11	3	0	0	0	0	2	0	7.2	"no"	"female"	"yes"	16	2.6494	"no"	"yes"	"no"	"west"	"other"
2	1	0	0	0	0	0	0	7.7	"no"	"female"	"no"	10	2.2616	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	14	6.6646	"yes"	"yes"	"no"	"west"	"other"
8	1	0	0	0	0	5	0	8.3	"no"	"male"	"yes"	10	2.46	"no"	"yes"	"no"	"west"	"other"
5	1	0	1	0	1	1	0	7.4	"no"	"female"	"yes"	12	2.46	"no"	"yes"	"no"	"west"	"other"
15	2	2	2	0	1	1	0	6.9	"no"	"male"	"yes"	6	1.41	"no"	"no"	"yes"	"west"	"other"
22	1	0	0	2	2	4	1	6.7	"no"	"female"	"yes"	8	1.41	"no"	"no"	"yes"	"west"	"poor"
4	0	1	0	2	0	0	0	7.3	"no"	"male"	"yes"	12	1.7717	"no"	"yes"	"no"	"west"	"other"
28	0	2	2	0	1	2	1	7.4	"no"	"female"	"yes"	8	1.7717	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	11	2.8847	"yes"	"yes"	"no"	"west"	"other"
12	0	3	0	1	1	4	1	6.9	"no"	"female"	"yes"	12	2.8847	"yes"	"yes"	"no"	"west"	"poor"
6	1	0	0	0	0	1	1	8.7	"no"	"female"	"no"	9	0.6468	"no"	"no"	"yes"	"west"	"other"
5	7	0	0	0	0	2	0	7.6	"no"	"male"	"yes"	8	3.4176	"no"	"yes"	"no"	"west"	"other"
2	15	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	8	3.4176	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	6	2.0656	"no"	"no"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	9.1	"no"	"male"	"no"	12	2.0656	"no"	"no"	"no"	"west"	"other"
1	0	0	2	0	0	1	0	6.6	"no"	"female"	"no"	8	2.5	"no"	"no"	"yes"	"west"	"other"
3	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	0	2.5	"no"	"no"	"yes"	"west"	"other"
0	1	0	0	0	0	4	0	7.8	"no"	"male"	"no"	18	0.872	"no"	"no"	"no"	"west"	"other"
12	1	2	2	0	0	2	1	7.4	"no"	"female"	"no"	13	0.6987	"no"	"no"	"yes"	"west"	"other"
14	0	0	0	5	0	0	1	8	"no"	"female"	"no"	8	0.942	"no"	"no"	"yes"	"west"	"other"
14	4	0	0	0	1	6	0	7.6	"no"	"female"	"no"	14	0.6268	"no"	"no"	"yes"	"west"	"other"
14	1	0	1	0	0	1	1	7.6	"no"	"female"	"no"	7	0.6972	"no"	"no"	"yes"	"west"	"poor"
4	43	0	0	0	0	1	0	7	"no"	"female"	"no"	14	0.3828	"no"	"no"	"yes"	"west"	"other"
23	0	1	2	0	0	1	1	8.4	"no"	"male"	"no"	17	2.0365	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	2	2	0	6.8	"no"	"female"	"no"	12	6.4861	"yes"	"yes"	"no"	"west"	"excellent"
4	0	3	0	0	0	1	0	6.8	"no"	"male"	"yes"	17	3.5662	"no"	"yes"	"no"	"west"	"other"
13	0	1	0	0	1	2	0	7.4	"no"	"female"	"no"	18	0.6851	"no"	"no"	"yes"	"west"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	7	0.9998	"no"	"yes"	"no"	"west"	"excellent"
2	1	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	6.3	"yes"	"yes"	"no"	"west"	"other"
5	2	0	0	0	0	5	0	7.4	"no"	"female"	"no"	14	1	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	2	0	7.8	"no"	"female"	"yes"	13	3.2585	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	2	1	8.6	"no"	"male"	"yes"	16	3.2585	"no"	"yes"	"no"	"west"	"poor"
0	0	0	0	0	0	1	0	6.7	"no"	"male"	"no"	18	1.257	"yes"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	2	0	8	"no"	"male"	"no"	18	1.2338	"yes"	"yes"	"no"	"west"	"other"
10	1	1	0	0	1	2	0	7.2	"no"	"male"	"no"	12	1.941	"yes"	"yes"	"no"	"west"	"other"
26	7	3	0	0	1	3	0	7.1	"no"	"male"	"no"	11	1.988	"no"	"yes"	"no"	"west"	"poor"
12	0	0	0	0	0	2	0	7.7	"no"	"male"	"yes"	17	2.768	"no"	"yes"	"no"	"west"	"other"
6	7	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	16	2.768	"no"	"yes"	"no"	"west"	"other"
6	0	1	0	0	0	0	0	7.1	"no"	"male"	"yes"	12	4.1123	"yes"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	14	4.1123	"yes"	"yes"	"no"	"west"	"excellent"
2	0	1	0	0	0	0	0	7.7	"no"	"female"	"yes"	13	6.7008	"no"	"yes"	"no"	"west"	"excellent"
3	0	0	0	0	0	0	0	7.8	"no"	"male"	"no"	12	0.7404	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	2	1	9.1	"no"	"female"	"no"	7	0.3	"no"	"yes"	"no"	"west"	"poor"
3	2	0	0	1	1	1	0	7.3	"no"	"male"	"yes"	8	3.086	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	1	0	1	0	6.6	"no"	"female"	"yes"	9	3.086	"no"	"yes"	"no"	"west"	"other"
11	3	0	1	0	1	1	0	7.4	"no"	"male"	"yes"	8	4.3134	"no"	"yes"	"no"	"west"	"other"
6	0	0	2	0	0	2	0	7.7	"no"	"female"	"yes"	11	4.3134	"no"	"yes"	"no"	"west"	"other"
2	1	4	3	0	0	2	0	6.8	"no"	"female"	"no"	13	3.6227	"yes"	"yes"	"no"	"west"	"other"
5	2	0	0	0	0	3	1	8.5	"no"	"male"	"yes"	15	3	"no"	"yes"	"no"	"west"	"other"
10	0	1	0	0	0	2	0	8.1	"no"	"female"	"yes"	12	3	"no"	"yes"	"no"	"west"	"other"
5	1	0	0	0	0	3	0	7.9	"no"	"male"	"yes"	6	1.3869	"no"	"no"	"yes"	"west"	"poor"
8	2	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	7	1.3869	"no"	"no"	"yes"	"west"	"poor"
4	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	1.4349	"yes"	"yes"	"no"	"west"	"other"
8	0	0	2	0	0	0	1	7	"no"	"female"	"yes"	12	1.62814	"no"	"yes"	"no"	"west"	"poor"
11	1	0	1	0	0	0	0	6.6	"no"	"female"	"no"	13	2.3528	"no"	"yes"	"no"	"west"	"other"
2	3	0	0	0	0	0	0	8.5	"no"	"female"	"no"	8	0.7964	"no"	"yes"	"no"	"west"	"other"
21	12	0	0	0	0	2	1	7.3	"no"	"female"	"no"	9	0.586	"no"	"yes"	"no"	"west"	"poor"
4	0	0	0	1	0	1	0	8.3	"no"	"female"	"no"	14	1.1551	"no"	"yes"	"no"	"west"	"other"
0	1	0	0	0	0	0	0	7.8	"no"	"female"	"no"	11	0.9752	"yes"	"yes"	"no"	"west"	"excellent"
0	0	0	0	0	1	0	0	7.9	"no"	"male"	"no"	10	0.486	"no"	"yes"	"no"	"west"	"excellent"
2	5	0	0	0	0	2	0	7.8	"no"	"male"	"yes"	11	1.6932	"no"	"yes"	"no"	"west"	"other"
1	1	0	0	4	5	3	1	7.6	"no"	"female"	"yes"	10	1.6932	"no"	"yes"	"no"	"west"	"poor"
0	0	0	0	0	0	1	1	6.9	"no"	"male"	"yes"	8	0.7354	"no"	"yes"	"no"	"west"	"other"
0	1	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	10	0.7354	"no"	"yes"	"no"	"west"	"excellent"
10	0	4	0	0	2	4	1	8.2	"no"	"male"	"yes"	12	2.295	"no"	"yes"	"no"	"west"	"poor"
6	0	0	0	0	0	2	0	7.6	"no"	"female"	"yes"	8	2.295	"no"	"yes"	"no"	"west"	"other"
6	0	0	0	0	0	1	0	7.2	"no"	"male"	"no"	12	2.7114	"no"	"yes"	"no"	"west"	"excellent"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	16	1.0088	"no"	"yes"	"no"	"west"	"excellent"
11	0	0	1	1	1	0	0	7.2	"no"	"female"	"no"	12	1.9352	"no"	"yes"	"no"	"west"	"excellent"
1	0	0	4	0	0	1	0	6.9	"no"	"female"	"no"	17	1.358	"no"	"yes"	"no"	"west"	"excellent"
11	0	1	1	3	5	2	1	8.6	"no"	"male"	"yes"	16	10.51	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	3	0	7.4	"no"	"male"	"yes"	15	6.0457	"yes"	"yes"	"no"	"west"	"excellent"
2	0	0	0	0	0	1	0	7.5	"no"	"female"	"yes"	14	6.0457	"no"	"yes"	"no"	"west"	"excellent"
5	0	1	0	0	0	2	0	7.7	"no"	"male"	"yes"	12	5.332	"no"	"yes"	"no"	"west"	"other"
8	4	0	1	0	0	2	0	7.3	"no"	"female"	"yes"	17	1.8698	"no"	"yes"	"no"	"west"	"other"
1	0	6	0	0	0	0	0	8.9	"yes"	"female"	"no"	9	3.4512	"no"	"yes"	"no"	"west"	"poor"
2	0	0	0	0	0	4	1	8	"no"	"male"	"no"	2	0.624	"no"	"yes"	"no"	"west"	"other"
4	10	0	0	0	0	1	0	6.9	"no"	"female"	"no"	12	1.2091	"no"	"yes"	"no"	"west"	"other"
9	1	0	0	0	1	1	0	7.5	"no"	"male"	"yes"	16	1.1582	"no"	"yes"	"no"	"west"	"excellent"
5	0	0	0	0	0	1	1	7.4	"no"	"female"	"yes"	14	1.1582	"no"	"yes"	"no"	"west"	"other"
15	0	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	18	6.4473	"no"	"yes"	"no"	"west"	"other"
4	1	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	16	6.4473	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	2	0	6.9	"no"	"male"	"no"	16	6.012	"yes"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	16	7.9564	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	12	1.1585	"no"	"yes"	"no"	"west"	"excellent"
6	2	0	0	0	0	0	0	7.8	"no"	"female"	"yes"	12	2.8927	"no"	"yes"	"no"	"west"	"other"
1	7	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	18	4.0677	"no"	"yes"	"no"	"west"	"other"
6	7	0	1	0	0	0	0	6.9	"no"	"female"	"yes"	16	4.0677	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	1	1	7.7	"no"	"female"	"no"	3	1.1904	"no"	"no"	"yes"	"west"	"other"
1	0	0	0	0	0	3	0	7	"no"	"female"	"yes"	12	2.4084	"no"	"yes"	"no"	"west"	"other"
2	3	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	17	13.3875	"yes"	"yes"	"no"	"west"	"excellent"
2	25	0	0	0	0	3	0	6.8	"no"	"female"	"yes"	17	13.3875	"no"	"yes"	"no"	"west"	"excellent"
18	7	0	0	0	1	3	0	6.6	"no"	"male"	"yes"	12	2.8029	"yes"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	1	0	6.7	"no"	"male"	"no"	12	2.6556	"no"	"yes"	"no"	"west"	"other"
10	0	2	0	0	0	4	1	6.9	"no"	"male"	"yes"	8	1.9063	"no"	"yes"	"no"	"west"	"poor"
10	0	5	0	1	1	2	0	7.3	"no"	"female"	"yes"	11	1.9063	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	1	1	2	0	8.6	"no"	"male"	"yes"	0	0.787	"no"	"no"	"no"	"west"	"excellent"
1	0	12	0	0	0	1	0	7.5	"no"	"female"	"no"	8	4.01	"no"	"yes"	"no"	"west"	"other"
9	7	4	0	0	0	3	0	7.1	"no"	"female"	"no"	14	1.7669	"no"	"yes"	"no"	"west"	"other"
23	0	4	4	0	8	3	1	7.8	"no"	"female"	"no"	12	0.8536	"no"	"yes"	"no"	"west"	"other"
6	1	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	16	4.8902	"yes"	"yes"	"no"	"west"	"excellent"
6	0	0	0	0	1	2	0	9	"no"	"female"	"no"	3	4.8902	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	12	6.05	"yes"	"no"	"no"	"west"	"excellent"
1	0	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	9	3.6156	"no"	"yes"	"no"	"west"	"other"
7	0	0	3	0	0	2	1	8.5	"no"	"male"	"yes"	8	3.6156	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	1	1	0	8.3	"no"	"female"	"no"	9	0.685	"no"	"no"	"no"	"west"	"other"
11	2	0	0	0	1	2	0	7	"no"	"male"	"yes"	8	4.403	"no"	"yes"	"no"	"west"	"other"
14	28	1	1	1	1	1	1	7	"no"	"female"	"yes"	17	4.403	"no"	"yes"	"no"	"west"	"other"
4	11	0	0	2	0	4	1	8.2	"no"	"male"	"yes"	14	8.214	"no"	"yes"	"no"	"west"	"poor"
1	0	0	0	0	0	1	0	7.7	"no"	"female"	"yes"	12	8.214	"no"	"yes"	"no"	"west"	"other"
3	1	4	0	0	0	3	0	8.5	"no"	"male"	"yes"	16	12.5866	"no"	"yes"	"no"	"west"	"other"
3	0	2	1	0	0	1	0	7.5	"no"	"female"	"yes"	14	12.5866	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	15	1.2291	"no"	"no"	"no"	"west"	"other"
16	6	0	0	0	0	3	0	8	"no"	"female"	"yes"	15	1.198	"no"	"yes"	"no"	"west"	"other"
11	0	0	0	1	1	1	1	8	"no"	"female"	"no"	12	0.8731	"no"	"yes"	"no"	"west"	"other"
2	3	1	1	0	0	1	0	8.1	"no"	"female"	"no"	12	1.1552	"no"	"yes"	"no"	"west"	"other"
2	5	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	2.2552	"no"	"yes"	"no"	"west"	"other"
24	2	0	0	0	0	2	0	7	"no"	"female"	"no"	12	24.2161	"yes"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	12	1.2324	"no"	"yes"	"no"	"west"	"other"
23	11	4	0	0	0	2	0	7.5	"no"	"male"	"no"	8	2.4196	"no"	"yes"	"no"	"west"	"other"
8	0	0	0	0	0	2	0	7.7	"no"	"female"	"yes"	0	0	"no"	"yes"	"no"	"west"	"other"
2	0	2	0	0	0	1	1	8.2	"yes"	"female"	"no"	6	0.89589	"no"	"yes"	"yes"	"west"	"poor"
12	0	0	0	0	0	2	0	7.2	"no"	"male"	"yes"	11	3.5	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	2	1	7.2	"no"	"female"	"yes"	11	3.5	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	1	2	2	1	9.3	"no"	"female"	"no"	0	3.5	"no"	"no"	"yes"	"west"	"poor"
2	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	12	2.44	"yes"	"no"	"no"	"west"	"excellent"
3	0	0	0	0	0	4	0	6.8	"no"	"female"	"yes"	16	2.44	"yes"	"no"	"no"	"west"	"excellent"
0	0	4	0	0	0	3	0	7.8	"no"	"male"	"no"	12	1.4865	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"no"	14	1.2355	"no"	"yes"	"no"	"west"	"other"
0	0	2	0	1	0	2	1	7.8	"no"	"female"	"no"	16	0.906	"yes"	"no"	"no"	"west"	"other"
0	0	1	0	0	0	0	0	6.7	"no"	"male"	"no"	12	1.62	"no"	"yes"	"no"	"west"	"excellent"
4	1	0	0	1	0	1	0	6.6	"no"	"male"	"yes"	18	23.0272	"no"	"yes"	"no"	"west"	"other"
5	0	0	0	1	2	3	1	8.8	"no"	"female"	"no"	0	0.9816	"no"	"no"	"yes"	"west"	"other"
5	0	0	0	0	0	2	1	9.3	"no"	"female"	"no"	0	0.456	"no"	"no"	"no"	"west"	"poor"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"no"	12	3.7708	"no"	"yes"	"no"	"west"	"other"
1	3	0	0	0	0	1	0	7.7	"no"	"female"	"no"	8	0.4956	"no"	"yes"	"no"	"west"	"other"
11	6	0	0	0	0	1	0	8.2	"no"	"female"	"yes"	0	1.2934	"no"	"yes"	"no"	"noreast"	"other"
20	6	0	0	0	0	1	0	8.6	"no"	"male"	"yes"	0	1.2934	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	2	1	2	0	7.1	"no"	"male"	"yes"	12	5.3035	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	1	0	7	"no"	"female"	"no"	11	0.4908	"no"	"yes"	"yes"	"noreast"	"other"
15	0	0	0	0	1	1	0	7.5	"no"	"male"	"yes"	13	2.0933	"no"	"yes"	"no"	"noreast"	"other"
7	0	1	0	0	0	1	0	7.2	"no"	"female"	"yes"	16	2.0933	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7	"no"	"male"	"no"	2	0.5111	"no"	"no"	"yes"	"noreast"	"other"
43	5	2	3	2	0	4	1	8.8	"no"	"female"	"no"	8	1.096	"no"	"yes"	"no"	"noreast"	"other"
22	2	0	0	2	2	7	1	6.8	"no"	"female"	"no"	11	1.2089	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	11	3.173	"no"	"yes"	"no"	"noreast"	"other"
3	1	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	8	1.4787	"no"	"no"	"no"	"noreast"	"other"
7	1	22	0	0	3	1	1	7.2	"no"	"male"	"yes"	12	1.4787	"no"	"no"	"no"	"noreast"	"poor"
14	37	0	0	0	0	3	0	7.1	"no"	"male"	"yes"	12	4.9723	"no"	"yes"	"no"	"noreast"	"other"
18	49	0	1	0	0	2	0	7.2	"no"	"female"	"yes"	8	4.9723	"no"	"yes"	"no"	"noreast"	"other"
2	4	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	11	6.564	"no"	"yes"	"no"	"noreast"	"other"
3	6	0	0	0	0	2	0	7	"no"	"male"	"yes"	12	6.564	"yes"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	12	1.0452	"no"	"yes"	"no"	"noreast"	"excellent"
2	0	0	0	0	0	0	0	7.2	"no"	"female"	"no"	12	0.8322	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	15	5.6124	"yes"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	16	5.6124	"yes"	"yes"	"no"	"noreast"	"other"
11	1	3	0	0	0	3	0	6.6	"yes"	"female"	"no"	9	0.5412	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	3	0	6.9	"yes"	"female"	"no"	8	3.05	"no"	"yes"	"no"	"noreast"	"poor"
18	0	0	0	0	0	2	1	8.7	"yes"	"female"	"no"	9	0.9756	"no"	"no"	"yes"	"noreast"	"other"
9	1	0	0	1	0	2	0	7.1	"yes"	"female"	"no"	3	1.0356	"no"	"no"	"no"	"noreast"	"other"
0	0	8	0	0	0	1	1	6.9	"yes"	"female"	"no"	5	1.0356	"no"	"no"	"yes"	"noreast"	"other"
0	0	0	0	3	2	1	1	8	"yes"	"female"	"no"	0	0.5372	"no"	"no"	"yes"	"noreast"	"other"
13	0	0	0	0	1	2	1	8.8	"yes"	"male"	"no"	12	3.4189	"no"	"no"	"yes"	"noreast"	"other"
1	1	0	0	0	0	1	0	7.2	"no"	"male"	"no"	10	1.1944	"no"	"yes"	"no"	"noreast"	"other"
11	0	3	0	1	2	3	1	8.4	"no"	"female"	"no"	5	0.5004	"no"	"no"	"yes"	"noreast"	"poor"
1	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	6.3428	"yes"	"yes"	"no"	"noreast"	"other"
8	0	0	0	1	0	2	1	7	"no"	"female"	"yes"	17	6.3428	"no"	"yes"	"no"	"noreast"	"other"
1	0	3	0	0	0	3	0	7.4	"no"	"female"	"no"	11	1.038	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	1	8.6	"no"	"male"	"yes"	8	2.001	"no"	"no"	"no"	"noreast"	"other"
4	0	0	0	0	0	0	0	7.9	"no"	"female"	"yes"	10	2.001	"no"	"no"	"no"	"noreast"	"other"
0	0	4	0	1	0	0	0	7.1	"yes"	"male"	"no"	8	0.7008	"no"	"no"	"no"	"noreast"	"other"
0	0	6	0	0	0	1	0	7	"yes"	"male"	"no"	3	0.558	"no"	"no"	"no"	"noreast"	"other"
3	0	7	0	1	1	0	0	7	"yes"	"female"	"no"	12	0.6219	"no"	"no"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	7.3	"yes"	"female"	"no"	8	1.8458	"no"	"no"	"yes"	"noreast"	"other"
2	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	16	4.5698	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	6.6399	"yes"	"yes"	"no"	"noreast"	"other"
4	9	0	0	1	0	1	0	6.6	"no"	"female"	"yes"	12	6.6399	"yes"	"yes"	"no"	"noreast"	"excellent"
2	1	0	0	1	0	0	0	6.6	"no"	"male"	"no"	8	1.4304	"no"	"yes"	"no"	"midwest"	"other"
10	20	0	0	1	1	0	0	7.9	"no"	"male"	"no"	6	1.4304	"no"	"no"	"yes"	"midwest"	"other"
10	1	0	0	0	1	3	0	8.4	"no"	"female"	"no"	16	1.1443	"no"	"yes"	"no"	"midwest"	"other"
1	1	4	5	5	1	4	1	6.8	"no"	"male"	"no"	6	4.4469	"yes"	"no"	"no"	"midwest"	"poor"
5	0	0	0	0	0	0	0	8.9	"no"	"male"	"yes"	10	4.45402	"no"	"yes"	"no"	"midwest"	"other"
10	77	0	0	0	0	1	1	7	"no"	"female"	"no"	8	0.5571	"no"	"no"	"yes"	"midwest"	"other"
2	0	0	0	0	1	1	0	6.9	"no"	"female"	"no"	6	1.2624	"no"	"no"	"no"	"midwest"	"other"
1	0	0	0	0	0	2	0	6.7	"no"	"female"	"no"	16	7.3899	"yes"	"yes"	"no"	"midwest"	"other"
0	0	5	1	0	1	1	0	6.8	"yes"	"female"	"no"	4	0.6176	"yes"	"yes"	"no"	"midwest"	"other"
8	0	1	0	3	2	4	0	6.7	"no"	"female"	"yes"	12	2.4646	"no"	"yes"	"no"	"midwest"	"other"
4	2	1	3	0	0	2	0	6.6	"no"	"female"	"no"	12	7.8908	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	1	0	0	2	0	6.8	"no"	"male"	"yes"	10	2.3139	"yes"	"yes"	"no"	"midwest"	"other"
1	0	0	0	1	1	0	0	9.1	"no"	"female"	"no"	12	5.125	"no"	"no"	"yes"	"midwest"	"other"
5	0	2	0	0	0	2	1	7.5	"no"	"female"	"no"	12	0.6324	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	14	3.4032	"no"	"yes"	"no"	"midwest"	"other"
0	1	0	0	0	0	1	1	9.5	"no"	"female"	"no"	8	3.4032	"no"	"no"	"no"	"midwest"	"poor"
10	1	1	1	0	0	1	0	7	"no"	"female"	"no"	14	2.6871	"no"	"yes"	"no"	"midwest"	"other"
17	0	1	0	0	1	1	0	6.6	"no"	"male"	"yes"	8	1.2493	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	8	9.6799	"yes"	"yes"	"no"	"midwest"	"other"
2	0	1	1	0	0	1	0	7.4	"no"	"male"	"no"	8	1.3564	"no"	"yes"	"no"	"midwest"	"other"
0	3	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	7	1.5644	"no"	"no"	"no"	"midwest"	"other"
1	16	1	0	0	0	0	0	7	"no"	"female"	"yes"	9	1.5644	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	2	1	0	0	6.7	"no"	"male"	"yes"	0	3.0852	"no"	"yes"	"no"	"midwest"	"other"
10	3	2	0	0	0	3	0	6.6	"no"	"female"	"yes"	8	6.048	"no"	"yes"	"no"	"midwest"	"poor"
6	0	2	1	1	1	2	0	8.2	"no"	"male"	"yes"	8	6.048	"no"	"yes"	"no"	"midwest"	"poor"
3	1	4	0	0	0	5	1	7.9	"no"	"male"	"yes"	0	3.1715	"no"	"yes"	"no"	"midwest"	"other"
13	0	1	14	0	8	2	1	7.8	"no"	"female"	"yes"	0	3.1715	"no"	"yes"	"no"	"midwest"	"poor"
3	1	0	1	0	0	1	0	7.8	"no"	"female"	"no"	16	2.5863	"no"	"yes"	"no"	"midwest"	"other"
9	0	1	3	1	1	2	1	8.6	"no"	"female"	"no"	8	2.307	"no"	"yes"	"no"	"midwest"	"poor"
15	0	1	0	0	0	3	0	7.4	"no"	"male"	"yes"	12	1.6724	"no"	"yes"	"no"	"midwest"	"other"
16	1	1	2	1	1	5	0	7.3	"no"	"female"	"yes"	13	1.6724	"no"	"yes"	"no"	"midwest"	"other"
12	6	0	0	1	1	1	0	7.3	"yes"	"female"	"no"	10	1.5753	"no"	"no"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7.9	"no"	"male"	"yes"	16	3.75	"no"	"yes"	"no"	"midwest"	"other"
5	3	0	0	0	0	0	0	7.8	"no"	"female"	"yes"	12	3.75	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	1	0	0	3	0	6.7	"no"	"male"	"yes"	12	0.9159	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	7	"no"	"male"	"no"	12	0.6384	"no"	"yes"	"no"	"midwest"	"other"
4	0	1	0	0	0	0	0	7.2	"no"	"male"	"yes"	11	2.0977	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	2.0977	"no"	"yes"	"no"	"midwest"	"other"
5	1	0	0	0	0	2	0	7	"no"	"male"	"yes"	12	5.1421	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	5.1421	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	4	0.6516	"no"	"no"	"no"	"midwest"	"other"
5	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	12	1.921	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	1.921	"no"	"yes"	"no"	"midwest"	"other"
13	0	0	0	0	0	1	0	7.4	"no"	"female"	"no"	14	1.3079	"no"	"yes"	"no"	"midwest"	"other"
0	0	1	0	1	0	0	1	7.7	"no"	"male"	"no"	9	1.3079	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	8.3	"yes"	"female"	"no"	3	0.4324	"no"	"yes"	"no"	"midwest"	"excellent"
63	11	31	49	0	0	1	0	7.7	"yes"	"male"	"yes"	12	2.0652	"no"	"yes"	"no"	"midwest"	"other"
2	2	1	0	0	1	4	0	7.8	"yes"	"female"	"yes"	9	2.0652	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	0	0	6.8	"yes"	"male"	"no"	6	0.6936	"no"	"no"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	14	1.7561	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	12	1.7561	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	8.1	"no"	"female"	"no"	12	2.48	"no"	"yes"	"no"	"midwest"	"excellent"
1	0	6	0	0	2	3	1	6.8	"no"	"male"	"yes"	12	5.2582	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	11	5.2582	"no"	"yes"	"no"	"west"	"excellent"
7	0	0	0	1	0	4	1	8	"no"	"male"	"no"	8	1.3152	"no"	"yes"	"no"	"west"	"other"
27	0	1	2	0	0	2	0	6.8	"no"	"male"	"yes"	14	4.7087	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	1	2	0	7.3	"no"	"male"	"yes"	10	4.4244	"yes"	"yes"	"no"	"west"	"other"
4	3	0	0	0	0	3	0	7	"no"	"female"	"yes"	12	4.4244	"no"	"yes"	"no"	"west"	"other"
6	3	0	0	0	0	1	1	7.6	"no"	"female"	"no"	9	0.9248	"no"	"yes"	"no"	"west"	"other"
3	0	2	0	0	0	3	0	6.6	"no"	"male"	"yes"	12	2.0296	"no"	"yes"	"no"	"west"	"other"
10	0	0	1	1	1	3	0	6.6	"no"	"female"	"yes"	12	2.0296	"no"	"yes"	"no"	"west"	"other"
2	66	0	0	0	0	0	0	7	"no"	"male"	"yes"	16	1.5847	"no"	"yes"	"no"	"west"	"excellent"
8	13	1	0	0	0	2	0	7.4	"no"	"female"	"yes"	13	1.5847	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	5.2553	"no"	"yes"	"no"	"west"	"other"
14	0	0	4	1	2	1	0	6.7	"no"	"female"	"yes"	12	5.2553	"no"	"yes"	"no"	"west"	"other"
5	1	2	0	0	0	1	1	7.8	"no"	"male"	"no"	16	1.0452	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	7	4.1199	"no"	"yes"	"no"	"west"	"excellent"
8	15	0	0	0	0	2	0	8.2	"no"	"female"	"no"	13	1.1996	"no"	"yes"	"no"	"west"	"other"
8	19	1	0	0	1	3	0	8	"no"	"male"	"yes"	12	2.6245	"no"	"yes"	"no"	"west"	"other"
2	0	0	0	0	0	1	1	7.7	"no"	"female"	"yes"	16	2.6245	"no"	"yes"	"no"	"west"	"other"
6	0	0	0	1	3	1	0	7.3	"no"	"female"	"no"	13	2.6308	"no"	"yes"	"no"	"west"	"other"
1	5	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	12	1.065	"no"	"yes"	"no"	"west"	"excellent"
2	4	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	1.065	"no"	"yes"	"no"	"west"	"excellent"
2	0	0	0	0	0	1	0	7.3	"no"	"female"	"no"	14	0.9956	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	2	0	8.7	"no"	"male"	"no"	12	0.456	"no"	"yes"	"no"	"west"	"other"
16	0	0	0	0	0	3	0	6.8	"no"	"male"	"yes"	9	1.9808	"yes"	"no"	"no"	"west"	"other"
10	1	1	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	1.9808	"no"	"no"	"no"	"west"	"other"
0	0	0	0	0	0	0	0	8	"no"	"female"	"no"	12	0.4776	"no"	"no"	"yes"	"west"	"excellent"
0	0	2	0	0	0	0	0	7	"no"	"male"	"yes"	9	10.1823	"no"	"yes"	"no"	"west"	"other"
5	1	0	0	1	1	2	0	7.7	"no"	"female"	"no"	12	4.7564	"no"	"yes"	"no"	"west"	"other"
7	0	0	0	0	0	2	0	7	"no"	"female"	"no"	12	4.7564	"no"	"yes"	"no"	"west"	"other"
6	0	0	1	1	2	2	0	6.6	"no"	"female"	"no"	10	0.6012	"no"	"yes"	"no"	"west"	"other"
0	0	0	0	0	0	2	0	7.4	"no"	"male"	"yes"	15	1.598	"no"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	1	1	7.2	"no"	"female"	"yes"	12	1.598	"no"	"yes"	"no"	"west"	"poor"
0	0	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	11	2.3165	"no"	"yes"	"no"	"west"	"other"
7	13	0	0	5	2	5	0	6.9	"no"	"female"	"yes"	7	0.6408	"no"	"no"	"yes"	"west"	"poor"
1	0	0	0	2	1	1	1	7.4	"no"	"male"	"yes"	1	0.6408	"no"	"no"	"yes"	"west"	"poor"
10	0	0	0	1	0	6	0	6.7	"no"	"male"	"yes"	5	1.2696	"no"	"no"	"no"	"west"	"poor"
0	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	17	0.4388	"no"	"yes"	"no"	"west"	"other"
1	1	0	0	0	0	0	0	7.3	"no"	"female"	"no"	15	1.0105	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	12	3.56	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	13	3.56	"no"	"yes"	"no"	"other"	"other"
8	0	2	0	0	0	1	0	7.3	"yes"	"male"	"yes"	6	0.7928	"no"	"no"	"no"	"other"	"other"
1	0	0	0	1	0	0	0	6.8	"no"	"male"	"yes"	8	3.5247	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	7	3.5247	"yes"	"yes"	"no"	"other"	"other"
3	0	1	0	0	2	2	0	7.2	"no"	"female"	"no"	6	0.5436	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	12	1.9	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	12	1.9	"no"	"yes"	"no"	"other"	"other"
12	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	4	3.4487	"no"	"no"	"no"	"other"	"other"
2	1	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	9	3.4487	"no"	"no"	"no"	"other"	"other"
2	0	0	0	2	2	2	0	8	"no"	"male"	"no"	4	2.0419	"no"	"yes"	"no"	"other"	"poor"
5	0	0	0	0	0	2	1	7.9	"no"	"male"	"yes"	0	0.6384	"no"	"no"	"yes"	"other"	"other"
3	0	0	0	0	0	3	0	8	"no"	"male"	"yes"	8	1.2156	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	1	1	0	0	7.9	"no"	"female"	"yes"	8	1.2156	"no"	"yes"	"no"	"other"	"poor"
3	15	2	0	0	0	0	0	6.7	"no"	"female"	"no"	14	1.237	"yes"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	16	4.2909	"no"	"yes"	"no"	"other"	"other"
4	4	0	0	2	0	0	0	6.8	"no"	"female"	"yes"	16	4.2909	"no"	"yes"	"no"	"other"	"other"
5	0	0	2	0	0	0	0	6.8	"no"	"female"	"no"	13	1.316	"yes"	"yes"	"no"	"other"	"other"
8	0	0	0	0	0	2	1	6.9	"no"	"female"	"no"	12	3.0829	"no"	"yes"	"no"	"other"	"other"
10	1	0	4	1	2	1	0	8.1	"no"	"male"	"no"	7	1.0368	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	8.3	"no"	"female"	"no"	5	0.3288	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	2	0	1	7.7	"no"	"female"	"no"	7	2.590586	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	1	2	1	9	"no"	"female"	"no"	7	0.4116	"no"	"yes"	"no"	"other"	"poor"
0	0	8	0	0	0	4	0	7	"no"	"male"	"yes"	7	0.9776	"no"	"no"	"yes"	"other"	"poor"
6	0	0	0	0	0	4	1	8.3	"no"	"male"	"yes"	0	0.7096	"no"	"no"	"no"	"other"	"poor"
3	0	0	1	0	0	1	1	7.9	"no"	"female"	"yes"	0	0.7096	"no"	"no"	"no"	"other"	"poor"
11	0	2	0	0	0	0	0	7.5	"no"	"male"	"no"	12	7.6691	"no"	"yes"	"no"	"other"	"other"
3	13	0	3	0	0	2	0	6.6	"no"	"male"	"no"	12	1.3352	"no"	"yes"	"no"	"other"	"other"
8	2	0	1	0	0	1	0	7.2	"no"	"female"	"no"	12	1.7424	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	6.7	"no"	"male"	"no"	5	0.8387	"yes"	"yes"	"no"	"other"	"poor"
4	2	1	0	0	0	1	0	6.6	"no"	"male"	"yes"	9	1.0653	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	8	0.6535	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	7	1.407	"no"	"yes"	"no"	"other"	"other"
7	0	0	1	0	1	1	0	6.9	"no"	"female"	"yes"	12	1.407	"no"	"yes"	"no"	"other"	"other"
7	0	1	0	0	0	3	0	6.7	"yes"	"male"	"yes"	5	0.64	"yes"	"yes"	"no"	"other"	"poor"
1	0	1	0	0	0	0	0	7.4	"no"	"male"	"yes"	15	1.8316	"yes"	"yes"	"no"	"other"	"other"
4	0	0	2	0	0	1	0	7.4	"no"	"female"	"yes"	13	1.8316	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	9	1.3156	"yes"	"yes"	"no"	"other"	"excellent"
3	0	2	0	0	0	2	0	7.6	"no"	"male"	"yes"	6	1.0586	"no"	"no"	"no"	"other"	"poor"
5	0	0	0	0	1	3	0	7	"no"	"female"	"yes"	3	1.0586	"no"	"no"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	7.4	"yes"	"male"	"yes"	6	0.7907	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	1	1	0	7.4	"yes"	"male"	"yes"	2	2.0228	"no"	"no"	"yes"	"other"	"other"
17	0	0	0	8	3	4	1	6.7	"yes"	"female"	"yes"	8	2.0228	"no"	"no"	"yes"	"other"	"poor"
11	0	0	0	0	0	2	1	6.9	"yes"	"female"	"no"	4	1.1656	"no"	"no"	"yes"	"other"	"poor"
5	0	0	1	0	0	2	0	7.2	"no"	"female"	"no"	12	6.533	"no"	"yes"	"no"	"other"	"other"
9	0	0	2	0	0	4	0	8.5	"no"	"female"	"yes"	10	0.901	"no"	"yes"	"no"	"other"	"poor"
5	1	0	0	0	0	6	0	8.4	"no"	"male"	"yes"	3	0.901	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	1	0	0	0	6.8	"no"	"male"	"yes"	12	0.8004	"no"	"yes"	"no"	"other"	"other"
6	3	0	0	0	0	2	1	8.3	"no"	"female"	"no"	8	0.444	"no"	"no"	"yes"	"other"	"poor"
0	0	0	0	0	0	0	0	7.2	"no"	"female"	"no"	7	0.7188	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	1	0	1	1	8.5	"no"	"female"	"no"	14	5.036	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	0	0	7	"no"	"female"	"no"	10	0.6516	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	1	1	2	0	6.9	"no"	"female"	"no"	8	1.277	"no"	"yes"	"no"	"noreast"	"other"
9	0	1	2	0	0	0	0	6.6	"no"	"female"	"no"	8	1.5373	"no"	"yes"	"no"	"noreast"	"other"
1	1	1	0	0	0	1	0	6.9	"no"	"male"	"yes"	9	2.558	"no"	"no"	"no"	"noreast"	"other"
13	34	0	6	0	1	2	0	6.9	"no"	"male"	"yes"	12	8.1288	"yes"	"yes"	"no"	"noreast"	"other"
0	1	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	8.1288	"yes"	"yes"	"no"	"noreast"	"other"
9	0	0	0	0	0	1	0	7.2	"no"	"male"	"no"	12	1.4316	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	4.127	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.9	"no"	"female"	"no"	12	0.8698	"no"	"no"	"no"	"noreast"	"poor"
0	0	0	0	0	0	1	0	7.7	"no"	"female"	"no"	12	0.8698	"no"	"no"	"no"	"noreast"	"poor"
12	0	0	0	0	0	3	0	7.4	"yes"	"female"	"no"	8	0.8179	"no"	"no"	"yes"	"noreast"	"excellent"
1	0	2	0	0	0	2	0	6.7	"yes"	"female"	"yes"	10	2.1895	"no"	"yes"	"no"	"noreast"	"other"
18	7	1	0	1	1	2	0	6.7	"no"	"male"	"yes"	12	2.3242	"no"	"yes"	"no"	"noreast"	"other"
11	1	0	1	0	0	3	0	8.2	"no"	"female"	"no"	11	1.3597	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	1	0	1	1	0	6.6	"no"	"male"	"yes"	12	6.0361	"no"	"yes"	"no"	"noreast"	"excellent"
11	0	0	1	0	0	4	0	6.7	"no"	"male"	"yes"	12	1.8714	"no"	"yes"	"no"	"noreast"	"poor"
10	3	0	0	0	1	5	0	7.8	"no"	"female"	"yes"	8	1.8714	"no"	"yes"	"no"	"noreast"	"other"
6	1	0	0	0	0	0	0	8.2	"no"	"female"	"no"	8	2.0726	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	4	1	9.6	"no"	"male"	"yes"	8	1.6723	"no"	"yes"	"no"	"noreast"	"excellent"
3	0	1	0	0	0	1	0	6.8	"no"	"female"	"yes"	7	1.6723	"no"	"yes"	"no"	"noreast"	"excellent"
1	1	14	1	3	2	5	0	7.2	"no"	"male"	"yes"	12	4.1862	"no"	"yes"	"no"	"noreast"	"poor"
0	2	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	4.1862	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	1	1	2	0	6.9	"no"	"male"	"yes"	8	4.169	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	8	4.169	"no"	"yes"	"no"	"noreast"	"other"
7	4	0	0	0	0	4	1	8.4	"no"	"female"	"no"	8	3.3669	"no"	"yes"	"no"	"noreast"	"other"
8	2	23	53	0	0	3	0	6.6	"no"	"male"	"yes"	10	3.701	"no"	"yes"	"no"	"noreast"	"other"
9	0	9	2	0	1	2	0	7.5	"no"	"male"	"yes"	8	1.6581	"no"	"yes"	"no"	"noreast"	"other"
39	0	71	5	0	2	2	0	7.4	"no"	"female"	"yes"	8	1.6581	"no"	"yes"	"no"	"noreast"	"poor"
7	4	0	0	0	0	2	0	6.9	"no"	"female"	"yes"	12	2.6369	"no"	"yes"	"no"	"noreast"	"other"
39	1	6	0	0	1	4	0	6.8	"no"	"male"	"yes"	12	2.6369	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	12	1.08	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	22	1	0	2	0	7	"no"	"female"	"yes"	8	1.08	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.8	"no"	"female"	"no"	18	1.2732	"no"	"yes"	"no"	"noreast"	"other"
6	1	2	0	0	0	2	0	6.8	"no"	"female"	"no"	12	1.3134	"no"	"yes"	"no"	"noreast"	"other"
11	0	0	0	0	0	1	0	8.7	"no"	"female"	"no"	2	1.604	"no"	"yes"	"no"	"noreast"	"other"
11	0	1	1	0	0	2	1	8.3	"no"	"female"	"no"	10	1.9272	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	2	1	7.7	"no"	"male"	"yes"	12	8.3781	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	1	0	1	1	7.4	"no"	"female"	"yes"	12	8.3781	"no"	"yes"	"no"	"noreast"	"other"
6	2	0	0	0	0	0	1	7	"no"	"female"	"no"	12	1.5553	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	2	0	8.4	"no"	"male"	"yes"	12	1.7586	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	1	2	0	7.2	"no"	"female"	"no"	11	1.3344	"no"	"yes"	"no"	"noreast"	"other"
10	9	1	43	3	1	0	1	7.6	"no"	"female"	"no"	9	1.0227	"no"	"yes"	"no"	"noreast"	"other"
5	6	1	2	0	0	2	0	6.7	"no"	"female"	"no"	9	1.662865	"no"	"yes"	"no"	"noreast"	"other"
7	0	0	0	0	0	2	1	7.4	"no"	"male"	"yes"	8	2.0099	"no"	"yes"	"no"	"noreast"	"other"
6	1	1	1	0	0	1	0	7	"no"	"female"	"yes"	12	2.0099	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	3	1	7.9	"no"	"female"	"no"	8	1.8999	"no"	"yes"	"no"	"noreast"	"other"
8	3	0	0	2	0	1	0	7.3	"no"	"male"	"yes"	8	1.7348	"yes"	"yes"	"no"	"noreast"	"other"
4	4	0	1	0	0	1	0	7.1	"no"	"female"	"yes"	8	1.7348	"no"	"yes"	"no"	"noreast"	"other"
10	0	0	0	0	0	2	0	7.3	"no"	"female"	"no"	9	0.6744	"no"	"yes"	"no"	"noreast"	"other"
2	1	2	2	0	4	2	1	6.9	"yes"	"female"	"no"	2	0.882	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	4.2432	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	0	1	7.6	"no"	"female"	"yes"	12	1.210381	"no"	"no"	"no"	"other"	"excellent"
0	8	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	16	4.7888	"yes"	"yes"	"no"	"other"	"excellent"
5	15	0	1	0	1	0	0	7.2	"no"	"female"	"yes"	12	4.7888	"yes"	"yes"	"no"	"other"	"excellent"
3	0	2	2	0	0	1	0	6.8	"no"	"female"	"yes"	14	3.299297	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	8	0.5072	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	0	0	2	0	6.8	"no"	"male"	"no"	7	0.4272	"no"	"no"	"no"	"other"	"poor"
11	0	0	2	0	0	4	0	7.9	"no"	"male"	"yes"	8	0.0155	"no"	"yes"	"no"	"other"	"other"
3	6	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	0.0155	"no"	"yes"	"no"	"other"	"other"
3	5	0	0	0	0	1	0	8.2	"no"	"male"	"yes"	13	4.8068	"no"	"yes"	"no"	"other"	"other"
1	1	0	0	1	0	0	0	8.1	"no"	"female"	"yes"	14	4.8068	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	2	0	7.5	"no"	"female"	"no"	16	1.2205	"no"	"yes"	"no"	"other"	"other"
0	2	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	16	6.5643	"yes"	"yes"	"no"	"other"	"other"
2	1	2	0	1	0	2	0	7.3	"no"	"male"	"no"	16	3.6504	"yes"	"yes"	"no"	"other"	"other"
2	4	0	0	0	0	2	0	6.6	"no"	"male"	"no"	4	0.4625	"no"	"no"	"no"	"other"	"other"
4	2	0	1	0	0	0	0	7.2	"yes"	"female"	"no"	10	5.1673	"no"	"yes"	"no"	"other"	"other"
7	1	0	0	2	2	5	0	7.3	"no"	"male"	"yes"	12	6.4928	"no"	"yes"	"no"	"other"	"poor"
6	0	1	0	0	0	2	0	6.6	"no"	"female"	"yes"	12	6.4928	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	0	0	6.9	"yes"	"female"	"no"	12	0.4848	"no"	"yes"	"no"	"midwest"	"other"
11	0	1	0	0	0	1	0	7.5	"yes"	"female"	"no"	0	1.7672	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	0	0	5	1	6.8	"no"	"male"	"yes"	12	1.0568	"no"	"no"	"no"	"midwest"	"other"
11	0	4	3	0	0	3	0	6.6	"no"	"male"	"yes"	12	2.0108	"yes"	"yes"	"no"	"midwest"	"other"
0	8	2	0	0	0	1	0	7	"no"	"female"	"no"	9	0.9396	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	2	0	7.2	"no"	"female"	"no"	11	0.8232	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	6	6	4	1	7.7	"no"	"female"	"yes"	8	8.878188	"no"	"yes"	"no"	"other"	"poor"
1	0	1	0	0	0	3	0	7.3	"no"	"male"	"yes"	8	8.878188	"no"	"yes"	"no"	"other"	"other"
4	2	0	0	0	0	1	0	7.5	"no"	"male"	"yes"	7	0.76	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	3	2	2	1	7	"no"	"female"	"yes"	9	0.76	"no"	"yes"	"no"	"other"	"poor"
9	0	2	0	0	0	4	0	7.9	"no"	"female"	"no"	14	0.5676	"no"	"yes"	"no"	"other"	"other"
9	1	0	0	0	0	6	1	8.2	"no"	"male"	"yes"	9	1.3748	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	8	1.3748	"no"	"yes"	"no"	"other"	"other"
6	0	1	0	0	0	1	0	7.8	"no"	"male"	"yes"	8	1.9588	"no"	"yes"	"no"	"other"	"other"
7	0	3	0	0	0	2	0	7.5	"no"	"female"	"yes"	11	1.9588	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	1	3	1	8	"no"	"female"	"no"	16	0.552	"no"	"yes"	"no"	"other"	"other"
0	1	1	0	0	0	2	0	8	"no"	"female"	"no"	8	0.6408	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	2	1	8.1	"no"	"male"	"yes"	5	1.8928	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	2	5	7	1	8	"no"	"female"	"yes"	9	1.8928	"no"	"yes"	"no"	"midwest"	"poor"
1	9	3	0	3	1	0	0	7.7	"no"	"male"	"yes"	8	1.9557	"no"	"yes"	"no"	"midwest"	"other"
4	9	2	1	0	0	0	0	6.6	"no"	"female"	"yes"	9	1.9557	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	1	7	"no"	"female"	"no"	8	0.972	"no"	"yes"	"no"	"midwest"	"other"
10	1	1	0	0	0	1	0	7.5	"no"	"male"	"yes"	12	1.6986	"no"	"yes"	"no"	"midwest"	"poor"
3	1	0	0	0	0	0	0	7.2	"no"	"female"	"yes"	6	1.6986	"no"	"yes"	"no"	"midwest"	"excellent"
6	0	0	0	0	1	4	0	7.2	"no"	"male"	"yes"	11	1.5588	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	1	1	0	1	7.8	"no"	"female"	"no"	5	7.5822	"no"	"no"	"no"	"other"	"other"
0	1	0	0	1	0	1	0	6.7	"no"	"female"	"no"	12	0.0676	"no"	"yes"	"no"	"midwest"	"other"
5	0	1	1	0	0	1	0	7.5	"no"	"male"	"yes"	8	1.717007	"no"	"yes"	"no"	"midwest"	"other"
4	3	0	1	0	1	0	0	7.4	"no"	"male"	"yes"	12	4.111	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	0	0	3	1	8.6	"no"	"female"	"no"	8	0.3996	"no"	"yes"	"yes"	"midwest"	"other"
7	0	3	0	3	6	2	0	8	"no"	"female"	"no"	9	1.9898	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	1	5	0	7.7	"no"	"female"	"no"	10	0.762	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	1	0	0	6.6	"no"	"female"	"no"	6	0.6788	"no"	"yes"	"no"	"midwest"	"excellent"
8	5	0	0	1	0	2	0	6.8	"no"	"female"	"yes"	8	2.2126	"no"	"yes"	"no"	"midwest"	"other"
5	0	2	0	0	0	0	0	8.4	"no"	"female"	"no"	8	0.4891	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	10	0.6981	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	1	1	5	2	0	8.2	"no"	"female"	"no"	12	0.408	"no"	"no"	"no"	"midwest"	"other"
12	0	0	0	0	3	4	0	7.6	"no"	"female"	"no"	8	0.4272	"no"	"no"	"yes"	"midwest"	"other"
4	5	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	8	1.6076	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	1	0	1	0	6.6	"no"	"male"	"yes"	10	6.8557	"yes"	"no"	"no"	"midwest"	"other"
11	3	1	0	0	0	6	1	7.1	"no"	"female"	"no"	8	0.9848	"no"	"yes"	"no"	"midwest"	"other"
2	44	0	0	0	0	1	0	6.8	"no"	"male"	"no"	14	4.92	"no"	"yes"	"no"	"midwest"	"other"
16	2	1	1	0	0	0	0	6.7	"no"	"male"	"yes"	12	1.8048	"yes"	"yes"	"no"	"midwest"	"other"
2	4	0	0	0	0	3	0	7.6	"no"	"male"	"yes"	14	3.1368	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	8.1	"no"	"male"	"yes"	8	2.6148	"yes"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	2	0	7	"no"	"female"	"yes"	12	2.6148	"no"	"yes"	"no"	"midwest"	"other"
8	1	0	1	0	0	0	0	7.1	"no"	"male"	"yes"	12	6.9526	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	6.9526	"no"	"yes"	"no"	"midwest"	"other"
1	1	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	10	2.9197	"no"	"yes"	"no"	"midwest"	"other"
1	48	0	0	0	0	1	1	7.7	"no"	"female"	"no"	6	3.7967	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	4	1	8.2	"yes"	"female"	"no"	3	0.9138	"no"	"no"	"yes"	"midwest"	"other"
2	1	0	0	0	0	1	0	7.2	"yes"	"male"	"yes"	4	1.9747	"yes"	"yes"	"no"	"midwest"	"excellent"
8	1	0	0	0	0	3	1	6.9	"no"	"male"	"yes"	12	2.2365	"no"	"yes"	"no"	"midwest"	"poor"
7	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	12	2.2365	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	0.9399	"no"	"yes"	"no"	"midwest"	"other"
17	0	0	0	1	0	0	0	7.3	"yes"	"female"	"no"	10	0.7399	"yes"	"yes"	"no"	"midwest"	"other"
18	3	1	1	0	4	3	0	7.7	"no"	"male"	"yes"	12	1.4326	"no"	"yes"	"no"	"midwest"	"poor"
12	14	1	0	0	1	1	0	7.3	"no"	"female"	"yes"	12	1.4326	"no"	"yes"	"no"	"midwest"	"other"
6	4	0	0	1	1	1	0	8.1	"no"	"male"	"yes"	9	3.3244	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	1	0	1	0	7.6	"no"	"female"	"yes"	12	3.3244	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	2	1	3	1	8.5	"no"	"female"	"no"	14	7.6173	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	8	0.9189	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	12	0.9189	"no"	"no"	"no"	"other"	"other"
15	0	1	1	2	2	3	1	8.3	"no"	"female"	"no"	6	0.2936	"yes"	"yes"	"no"	"other"	"poor"
7	0	1	0	0	4	1	0	8	"no"	"male"	"yes"	14	1.8632	"no"	"yes"	"no"	"other"	"other"
5	3	0	0	0	0	1	0	7.4	"no"	"female"	"yes"	11	1.8632	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	11	1.2984	"yes"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.5	"yes"	"male"	"yes"	11	0.9764	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.5	"yes"	"female"	"yes"	11	0.9764	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	3	0	6.7	"yes"	"male"	"no"	7	0.42	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	1	0	6.9	"yes"	"male"	"yes"	5	3.55	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	5	1	6.8	"yes"	"female"	"yes"	3	3.55	"no"	"yes"	"no"	"other"	"poor"
2	0	0	0	0	2	1	0	7	"yes"	"male"	"no"	12	1.64	"yes"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	2	0	7.4	"no"	"male"	"yes"	8	4.1151	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	8.3	"no"	"male"	"yes"	12	1.926	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	8	"no"	"female"	"yes"	16	1.926	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	4	0	7.4	"no"	"female"	"no"	6	0.84	"no"	"yes"	"no"	"other"	"other"
4	0	1	0	0	0	1	1	7.8	"no"	"female"	"no"	4	0.432	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	2	0	7	"no"	"male"	"yes"	8	3.0935	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	1	1	1	0	6.8	"no"	"female"	"no"	8	6.7204	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	18	2.1205	"no"	"yes"	"no"	"other"	"excellent"
1	0	2	0	0	0	1	0	6.7	"no"	"male"	"yes"	13	0.672	"yes"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	3	1	8.2	"no"	"female"	"no"	12	0.6064	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.7	"no"	"male"	"no"	12	1.334	"yes"	"yes"	"no"	"other"	"other"
20	0	0	0	0	0	3	1	7.5	"no"	"female"	"no"	10	0.4596	"no"	"no"	"no"	"other"	"other"
2	4	1	0	0	0	1	0	7	"no"	"male"	"yes"	12	5.3701	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"yes"	"female"	"no"	12	3.6268	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	4	1	8.3	"no"	"male"	"no"	6	3.1316	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	2	0	6.6	"yes"	"male"	"no"	16	0.7428	"no"	"yes"	"no"	"other"	"other"
0	0	1	0	0	0	1	0	6.7	"yes"	"male"	"yes"	11	3.6194	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	4	1	2	1	7.4	"yes"	"male"	"yes"	3	1.1808	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	0	0	6.7	"yes"	"female"	"no"	15	1.5276	"no"	"no"	"no"	"other"	"other"
6	0	0	0	0	0	4	1	6.7	"yes"	"female"	"no"	7	0.4152	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	0	0	7.6	"no"	"female"	"yes"	9	6.755098	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.4	"no"	"female"	"no"	12	0.8551	"no"	"yes"	"no"	"other"	"other"
20	10	0	1	1	0	3	1	7.1	"no"	"female"	"no"	12	1.5317	"no"	"yes"	"no"	"midwest"	"other"
11	0	0	0	0	0	1	0	7.1	"yes"	"female"	"no"	12	0.8539	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	6.7	"yes"	"male"	"no"	7	1.9948	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	1	0	7	"no"	"male"	"yes"	8	1.1636	"no"	"yes"	"no"	"midwest"	"other"
0	8	0	0	0	0	1	0	7.9	"yes"	"female"	"no"	12	0.9164	"no"	"no"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	8	"yes"	"female"	"no"	9	1.5688	"no"	"yes"	"no"	"midwest"	"excellent"
2	5	20	0	0	0	0	0	7	"yes"	"male"	"yes"	12	10.4208	"yes"	"no"	"no"	"midwest"	"excellent"
8	4	1	10	0	0	1	0	6.6	"yes"	"female"	"yes"	15	10.4208	"yes"	"yes"	"no"	"midwest"	"other"
12	0	1	0	0	0	3	0	7.7	"no"	"female"	"yes"	8	0.3096	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	4	1	6.7	"no"	"female"	"no"	8	0.5832	"no"	"no"	"no"	"midwest"	"poor"
8	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	2	2.3135	"no"	"no"	"no"	"midwest"	"other"
8	2	0	0	0	0	3	0	7.4	"no"	"female"	"no"	12	0.4576	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7	"no"	"female"	"no"	8	1.5836	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	8.2	"no"	"female"	"no"	14	0.4452	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	7.5	"no"	"female"	"no"	12	1.3624	"yes"	"yes"	"no"	"midwest"	"other"
13	3	0	0	0	0	5	0	7.4	"no"	"female"	"no"	10	0.8073	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	2	1	1	7.5	"no"	"female"	"yes"	8	2.093908	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"no"	10	2.0762	"no"	"yes"	"no"	"midwest"	"other"
0	23	0	0	0	0	1	0	7	"no"	"female"	"no"	10	2.0762	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	12	0.7632	"no"	"yes"	"no"	"midwest"	"other"
10	0	25	0	0	2	5	0	7.7	"no"	"female"	"yes"	12	0.7632	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	0.8791	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.5	"no"	"male"	"yes"	10	3.5982	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	2	0	6.6	"no"	"female"	"yes"	12	3.5982	"yes"	"yes"	"no"	"midwest"	"other"
1	1	0	0	0	0	0	0	7.2	"no"	"male"	"yes"	12	10.1979	"no"	"yes"	"no"	"midwest"	"excellent"
2	0	0	0	0	0	0	0	7.3	"no"	"female"	"yes"	12	10.1979	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	1	8.7	"no"	"female"	"yes"	12	1.3584	"no"	"yes"	"no"	"midwest"	"poor"
3	0	3	0	1	2	2	0	6.6	"no"	"male"	"yes"	14	1.3212	"no"	"no"	"no"	"midwest"	"other"
20	14	3	0	0	0	1	0	7	"no"	"female"	"no"	16	1.2974	"no"	"yes"	"no"	"midwest"	"other"
11	11	0	0	0	0	4	0	7.1	"no"	"female"	"no"	13	0.5568	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	11	3.5718	"no"	"yes"	"no"	"midwest"	"other"
5	0	1	0	0	0	1	0	7.7	"no"	"female"	"yes"	12	3.5718	"no"	"yes"	"no"	"midwest"	"excellent"
6	1	0	0	0	0	1	0	8.3	"no"	"female"	"no"	9	3.5718	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.9	"no"	"male"	"no"	9	0.5724	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	2	1	0	0	9.1	"no"	"female"	"no"	11	0.5172	"no"	"yes"	"no"	"midwest"	"other"
1	0	1	1	0	0	2	0	7	"no"	"male"	"yes"	12	2.6718	"no"	"yes"	"no"	"midwest"	"other"
5	1	0	0	0	0	2	0	6.8	"no"	"female"	"no"	16	0.9531	"no"	"no"	"no"	"midwest"	"other"
7	8	1	0	0	0	2	0	6.9	"no"	"female"	"no"	11	0.8432	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	1	3	0	7.3	"no"	"male"	"yes"	8	0.9772	"no"	"yes"	"no"	"midwest"	"other"
53	0	0	0	0	0	3	0	7.3	"no"	"female"	"yes"	8	0.9772	"no"	"yes"	"no"	"midwest"	"other"
42	32	0	1	0	5	1	1	7.4	"no"	"female"	"no"	12	1.3644	"no"	"yes"	"no"	"midwest"	"other"
1	1	0	0	1	0	1	1	8.8	"no"	"female"	"no"	10	2.164	"no"	"yes"	"no"	"midwest"	"poor"
8	0	2	0	0	0	3	0	7	"no"	"female"	"no"	9	2.0068	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	6.8	"no"	"male"	"no"	12	2.0952	"no"	"yes"	"no"	"midwest"	"other"
18	3	2	10	0	0	1	0	8	"no"	"female"	"no"	16	4.4203	"no"	"yes"	"no"	"midwest"	"other"
7	1	0	0	0	0	0	0	9	"no"	"female"	"no"	9	1.5267	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	3	0	8.3	"no"	"female"	"no"	12	3.0234	"no"	"yes"	"no"	"midwest"	"poor"
6	8	1	0	0	1	1	1	6.6	"no"	"male"	"yes"	12	4.934	"no"	"yes"	"no"	"midwest"	"poor"
12	0	0	0	0	0	0	0	7.8	"no"	"male"	"yes"	8	1.5923	"no"	"yes"	"no"	"midwest"	"other"
10	0	2	0	0	0	1	0	6.9	"no"	"male"	"yes"	11	1.9936	"no"	"yes"	"no"	"midwest"	"other"
11	13	0	1	0	0	1	0	6.7	"no"	"female"	"yes"	8	1.9936	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"no"	8	1.2536	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	0	0	2	0	7.1	"no"	"female"	"no"	15	2.2975	"yes"	"yes"	"no"	"midwest"	"other"
2	0	0	4	0	1	1	0	8	"yes"	"female"	"no"	14	3.354625	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	2	0	7.9	"yes"	"male"	"no"	9	2.2847	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	1.6774	"no"	"yes"	"no"	"midwest"	"excellent"
12	0	0	1	0	4	1	0	7.4	"no"	"male"	"yes"	18	5.2584	"yes"	"yes"	"no"	"midwest"	"other"
2	2	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	16	5.2584	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	4	0	1	1	0	7.5	"no"	"male"	"no"	9	1.9248	"no"	"yes"	"no"	"midwest"	"other"
1	1	0	0	0	0	0	1	8.8	"no"	"female"	"no"	12	0.2148	"no"	"yes"	"no"	"midwest"	"other"
2	6	0	0	1	2	2	0	7.2	"no"	"female"	"no"	11	0.552	"no"	"yes"	"no"	"midwest"	"excellent"
3	2	0	0	0	0	1	0	7.5	"no"	"female"	"no"	12	0.6799	"no"	"yes"	"no"	"midwest"	"other"
4	1	0	1	0	1	3	1	6.6	"no"	"female"	"no"	12	0.6	"no"	"yes"	"no"	"midwest"	"other"
7	2	0	0	0	0	1	0	6.8	"no"	"female"	"no"	15	1.3856	"no"	"yes"	"no"	"midwest"	"other"
5	1	0	0	0	0	4	0	7.6	"no"	"male"	"yes"	13	1.6163	"no"	"yes"	"no"	"midwest"	"other"
8	7	0	1	2	0	2	0	6.7	"no"	"female"	"yes"	14	1.6163	"no"	"yes"	"no"	"midwest"	"other"
6	0	1	1	0	0	4	0	7.1	"no"	"female"	"no"	12	1.4152	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	0	0	1	0	8.3	"no"	"female"	"no"	9	1.0032	"no"	"yes"	"no"	"midwest"	"other"
4	12	0	3	1	1	4	0	7.7	"no"	"male"	"yes"	12	1.9764	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	12	1.9764	"no"	"yes"	"no"	"midwest"	"other"
16	0	0	0	0	0	5	1	7.8	"yes"	"female"	"no"	8	0.5136	"no"	"no"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	0	7.6	"yes"	"female"	"no"	13	0.5232	"no"	"yes"	"no"	"midwest"	"other"
13	1	3	0	1	0	1	0	6.6	"yes"	"female"	"no"	7	0.432	"no"	"no"	"yes"	"midwest"	"other"
15	3	1	0	0	0	4	1	7.1	"yes"	"female"	"no"	8	1.2348	"no"	"yes"	"yes"	"midwest"	"other"
4	1	0	0	0	0	3	0	6.6	"no"	"female"	"no"	12	2.7444	"no"	"yes"	"no"	"midwest"	"excellent"
2	1	0	0	0	0	1	1	9.3	"no"	"male"	"no"	3	2.7444	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	1	0	3	0	7.4	"no"	"female"	"yes"	11	0.54	"no"	"no"	"no"	"midwest"	"other"
7	1	0	0	0	1	2	1	8.6	"no"	"female"	"no"	10	0.5843	"yes"	"no"	"no"	"midwest"	"poor"
5	0	3	2	0	0	4	0	7.1	"no"	"male"	"yes"	12	2.1278	"no"	"yes"	"no"	"midwest"	"other"
8	0	1	1	0	1	3	0	6.6	"no"	"female"	"yes"	11	2.1278	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	9	0.6012	"yes"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	1	8.7	"no"	"female"	"no"	0	0.66	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.6	"no"	"male"	"yes"	16	8.9063	"no"	"yes"	"no"	"midwest"	"other"
7	0	0	0	0	0	2	0	7.9	"no"	"female"	"yes"	16	8.9063	"no"	"yes"	"no"	"midwest"	"other"
9	47	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	0	3.2628	"no"	"yes"	"no"	"midwest"	"other"
0	2	0	0	0	0	0	0	6.8	"no"	"female"	"yes"	0	3.2628	"no"	"yes"	"no"	"midwest"	"other"
4	0	4	0	0	0	3	0	7.2	"no"	"male"	"yes"	9	3.2053	"yes"	"yes"	"no"	"midwest"	"other"
8	2	1	0	0	0	4	1	7	"no"	"female"	"yes"	15	3.2053	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	1	1	1	7.2	"no"	"male"	"yes"	12	2.823	"no"	"no"	"no"	"noreast"	"other"
1	3	0	0	0	0	1	1	6.9	"no"	"female"	"yes"	10	2.823	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"male"	"yes"	8	1.9159	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	8	1.9159	"no"	"yes"	"no"	"noreast"	"other"
6	1	2	0	1	2	0	0	6.6	"no"	"male"	"yes"	8	2.925	"yes"	"yes"	"no"	"noreast"	"other"
16	0	1	3	0	1	3	0	7.1	"no"	"female"	"no"	10	0.366	"no"	"yes"	"no"	"noreast"	"other"
8	0	0	1	0	0	4	0	7.1	"no"	"male"	"yes"	9	2.3136	"no"	"no"	"no"	"noreast"	"other"
18	0	0	1	2	1	1	0	7.8	"yes"	"male"	"yes"	8	2.9168	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	1	0	0	1	0	7	"yes"	"female"	"yes"	12	2.9168	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	7.6	"yes"	"male"	"yes"	11	2.4848	"no"	"yes"	"no"	"noreast"	"other"
8	0	0	0	1	1	1	1	7.6	"yes"	"female"	"yes"	6	2.4848	"no"	"yes"	"no"	"noreast"	"other"
7	0	3	0	1	1	2	0	6.6	"yes"	"male"	"no"	12	0.6468	"no"	"no"	"no"	"noreast"	"other"
2	0	0	0	1	0	0	0	7.5	"no"	"male"	"yes"	0	3.4786	"no"	"yes"	"no"	"noreast"	"other"
9	47	0	0	1	0	2	0	7.3	"no"	"female"	"yes"	13	3.4786	"no"	"yes"	"no"	"noreast"	"other"
11	8	1	0	0	0	1	0	7.6	"no"	"male"	"yes"	3	4.7652	"no"	"yes"	"no"	"noreast"	"poor"
5	2	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	8	4.7652	"no"	"yes"	"no"	"noreast"	"other"
4	5	0	0	0	0	2	0	7.8	"no"	"female"	"no"	9	0.998	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	7.2	"no"	"female"	"no"	12	1.0221	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	2	0	6.7	"no"	"female"	"yes"	12	18.281	"yes"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	1	0	8	"no"	"female"	"no"	8	0.6792	"no"	"yes"	"no"	"noreast"	"other"
5	3	0	0	0	0	2	1	7.4	"no"	"female"	"yes"	8	1.5844	"no"	"yes"	"no"	"noreast"	"other"
5	0	0	0	0	0	1	0	7.9	"no"	"female"	"no"	12	0.9225	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	12	1.6626	"no"	"yes"	"no"	"noreast"	"excellent"
13	0	0	0	0	0	4	0	8.3	"no"	"female"	"no"	8	7.5426	"no"	"no"	"no"	"noreast"	"other"
8	1	0	0	1	1	2	0	7.2	"no"	"male"	"yes"	14	1.6299	"no"	"yes"	"no"	"noreast"	"other"
14	3	1	1	0	0	1	0	7.8	"no"	"female"	"yes"	14	1.6299	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	2	0	5	0	7.1	"no"	"female"	"no"	12	2.4157	"no"	"no"	"no"	"noreast"	"excellent"
9	1	0	0	0	0	0	0	7.2	"no"	"female"	"no"	11	1.0946	"no"	"yes"	"no"	"noreast"	"other"
14	0	0	2	0	0	1	1	7.3	"no"	"female"	"no"	12	1.198	"no"	"yes"	"no"	"noreast"	"other"
39	0	2	0	0	0	0	0	6.7	"no"	"female"	"no"	12	9.9904	"yes"	"yes"	"no"	"noreast"	"other"
1	0	3	0	0	0	2	0	7.8	"yes"	"female"	"no"	4	0.516	"no"	"no"	"yes"	"noreast"	"other"
13	0	0	0	0	2	3	0	7	"no"	"male"	"yes"	13	2.3729	"no"	"yes"	"no"	"noreast"	"other"
13	1	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	13	2.3729	"no"	"yes"	"no"	"noreast"	"excellent"
2	0	0	1	0	1	0	0	8.6	"no"	"male"	"no"	9	1.3281	"no"	"yes"	"no"	"noreast"	"other"
10	0	0	0	1	0	1	0	6.7	"no"	"female"	"no"	12	4.3792	"no"	"yes"	"no"	"noreast"	"other"
6	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	14	5.0754	"yes"	"yes"	"no"	"noreast"	"excellent"
5	0	0	0	0	0	1	0	7.9	"no"	"male"	"no"	12	1.1936	"no"	"yes"	"no"	"noreast"	"excellent"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"no"	12	0.432	"no"	"no"	"no"	"noreast"	"excellent"
10	7	0	0	0	0	0	1	7.3	"yes"	"female"	"no"	8	1.0524	"no"	"no"	"no"	"noreast"	"other"
4	0	0	0	0	0	1	0	7.9	"no"	"male"	"no"	12	1.896	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	12	5.8004	"no"	"yes"	"no"	"noreast"	"excellent"
10	0	1	0	1	2	1	1	7.4	"no"	"female"	"no"	12	6.316	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	10	3.48	"no"	"yes"	"no"	"noreast"	"other"
7	0	34	0	0	0	3	0	7.5	"no"	"male"	"yes"	12	1.9876	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	0	0	7	"no"	"female"	"no"	13	3.224263	"no"	"yes"	"no"	"noreast"	"other"
1	0	0	0	0	0	0	0	6.8	"no"	"male"	"yes"	12	8.2273	"yes"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	13	8.2273	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	2.0762	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	0	0	0	1	0	7.6	"yes"	"female"	"no"	14	0.6636	"no"	"yes"	"no"	"noreast"	"other"
7	1	0	0	0	0	1	0	6.8	"yes"	"female"	"no"	6	3.3848	"no"	"yes"	"no"	"noreast"	"other"
3	6	0	1	1	0	2	0	7	"no"	"female"	"no"	11	6.785	"no"	"no"	"no"	"noreast"	"other"
1	3	0	0	0	0	2	0	6.6	"no"	"female"	"yes"	14	3.8863	"no"	"yes"	"no"	"noreast"	"other"
6	3	0	0	0	0	1	0	7.7	"no"	"female"	"no"	8	0.3108	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	3	0	7.5	"no"	"female"	"no"	8	4.0253	"no"	"yes"	"no"	"noreast"	"other"
18	7	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	1.2716	"no"	"yes"	"no"	"noreast"	"other"
5	16	0	0	0	0	0	0	6.7	"no"	"female"	"yes"	12	1.2716	"no"	"yes"	"no"	"noreast"	"other"
1	1	0	1	0	0	1	0	7.2	"no"	"male"	"yes"	9	2.01	"no"	"yes"	"no"	"noreast"	"other"
19	7	0	0	1	1	1	0	7.9	"no"	"female"	"yes"	8	2.01	"no"	"yes"	"no"	"noreast"	"other"
14	6	1	0	0	0	2	0	8.2	"no"	"male"	"yes"	13	5.5401	"no"	"yes"	"no"	"noreast"	"other"
4	1	0	0	0	0	1	0	7.2	"no"	"female"	"no"	7	0.9724	"no"	"yes"	"no"	"noreast"	"excellent"
2	0	0	0	0	0	1	0	6.6	"no"	"female"	"no"	7	1.2155	"no"	"yes"	"no"	"noreast"	"other"
6	1	0	2	0	0	3	0	7.6	"no"	"female"	"no"	6	7.17	"no"	"yes"	"no"	"noreast"	"other"
6	0	1	0	0	0	2	0	6.9	"no"	"male"	"yes"	12	2.927	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	13	2.927	"no"	"yes"	"no"	"noreast"	"other"
15	3	0	1	0	1	3	0	7.8	"no"	"female"	"no"	7	1.4659	"no"	"yes"	"no"	"noreast"	"other"
1	1	0	0	0	0	2	0	7.5	"no"	"male"	"no"	7	1.4659	"no"	"yes"	"no"	"noreast"	"other"
15	3	1	1	0	0	1	1	7.4	"no"	"female"	"no"	8	0.7296	"no"	"yes"	"no"	"noreast"	"other"
2	11	0	0	0	0	1	0	6.7	"no"	"female"	"no"	12	1.99	"no"	"yes"	"no"	"noreast"	"other"
3	1	0	0	0	0	3	1	7	"no"	"male"	"yes"	12	1.9779	"no"	"yes"	"no"	"noreast"	"other"
2	1	0	0	0	0	3	1	6.8	"no"	"female"	"yes"	11	1.9779	"no"	"yes"	"no"	"noreast"	"other"
8	1	0	1	0	0	2	0	6.9	"no"	"male"	"yes"	16	4.8586	"no"	"yes"	"no"	"noreast"	"other"
37	0	1	0	1	1	3	0	6.6	"no"	"female"	"yes"	13	4.8586	"no"	"yes"	"no"	"noreast"	"poor"
0	0	0	0	0	0	2	0	6.8	"no"	"male"	"yes"	12	2.68	"no"	"yes"	"no"	"noreast"	"other"
2	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	12	3.551	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	3	0	0	3	0	7	"no"	"female"	"no"	12	1.02	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	3	0	8.5	"no"	"male"	"yes"	16	2.1577	"no"	"yes"	"no"	"midwest"	"other"
9	5	1	2	0	0	4	0	8.2	"no"	"female"	"yes"	16	2.1577	"no"	"yes"	"no"	"midwest"	"other"
7	0	1	10	0	1	1	1	6.8	"no"	"female"	"no"	8	0.5942	"no"	"yes"	"no"	"midwest"	"poor"
15	5	0	1	0	2	3	0	7.6	"no"	"male"	"yes"	12	1.1352	"no"	"yes"	"no"	"midwest"	"other"
3	8	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	12	1.1352	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	2	0	1	8.8	"no"	"female"	"no"	9	0.4512	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	1	9.1	"no"	"male"	"no"	6	3.4792	"no"	"yes"	"no"	"midwest"	"other"
2	5	0	0	0	0	1	0	6.8	"no"	"female"	"no"	17	3.4792	"no"	"yes"	"no"	"midwest"	"other"
1	1	0	0	0	0	1	0	6.6	"no"	"female"	"no"	12	0.4872	"no"	"yes"	"no"	"midwest"	"other"
0	1	0	0	0	0	4	0	8.6	"yes"	"female"	"no"	8	1.086	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	0	0	3	0	7.8	"yes"	"female"	"no"	7	0.54	"no"	"yes"	"no"	"midwest"	"other"
19	0	0	0	0	0	1	0	6.6	"yes"	"male"	"yes"	9	1.152	"no"	"no"	"no"	"midwest"	"other"
3	2	0	1	0	0	0	0	7.6	"yes"	"female"	"no"	8	0.633	"no"	"yes"	"no"	"midwest"	"other"
8	0	1	0	2	0	3	0	6.9	"yes"	"male"	"no"	7	4.6984	"no"	"yes"	"no"	"midwest"	"other"
11	0	0	0	0	0	3	1	8.1	"no"	"female"	"no"	4	2.502	"no"	"no"	"yes"	"midwest"	"poor"
4	0	3	2	0	0	0	0	7.1	"no"	"male"	"yes"	12	2.5586	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	6.9	"no"	"female"	"yes"	8	2.5586	"no"	"yes"	"no"	"midwest"	"other"
6	1	0	0	0	0	0	0	8.4	"no"	"male"	"yes"	18	3.9041	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	1	0	8	"no"	"female"	"yes"	15	3.9041	"no"	"yes"	"no"	"midwest"	"excellent"
0	0	10	0	1	2	4	0	7.1	"no"	"male"	"no"	9	2.2544	"no"	"yes"	"no"	"midwest"	"other"
10	2	0	0	0	0	3	0	6.8	"no"	"male"	"yes"	12	7.3253	"no"	"yes"	"no"	"midwest"	"other"
6	2	0	0	0	0	1	0	6.6	"no"	"female"	"yes"	12	7.3253	"no"	"yes"	"no"	"midwest"	"other"
1	1	0	0	0	0	0	0	6.8	"no"	"female"	"no"	13	1.389	"yes"	"yes"	"no"	"midwest"	"other"
0	0	1	1	0	0	1	0	9.6	"no"	"male"	"yes"	8	3.4326	"no"	"yes"	"no"	"midwest"	"other"
14	1	1	11	2	2	1	0	7.6	"no"	"male"	"yes"	8	2.3977	"no"	"yes"	"no"	"midwest"	"excellent"
5	0	0	2	2	0	0	0	7.2	"no"	"female"	"yes"	12	2.3977	"no"	"yes"	"no"	"midwest"	"other"
19	26	0	0	1	0	1	0	7	"no"	"female"	"no"	12	1.2375	"no"	"yes"	"no"	"midwest"	"other"
9	2	2	1	0	0	4	0	7.3	"no"	"female"	"no"	16	4.6731	"no"	"yes"	"no"	"midwest"	"other"
3	0	1	0	0	0	1	0	6.7	"no"	"male"	"yes"	14	4.3869	"no"	"yes"	"no"	"midwest"	"other"
15	0	1	9	0	0	2	1	7	"no"	"female"	"yes"	12	3.804977	"no"	"yes"	"no"	"midwest"	"poor"
4	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	16	5.2868	"no"	"yes"	"no"	"midwest"	"other"
8	1	0	2	0	0	3	0	7.7	"no"	"male"	"yes"	8	6.9118	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	8	6.9118	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	0	1	0	0	0	6.6	"no"	"male"	"yes"	9	8.0907	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	1	1	2	0	6.9	"no"	"male"	"yes"	9	2.1672	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	2	3	2	0	6.9	"no"	"female"	"yes"	12	2.1672	"no"	"yes"	"no"	"midwest"	"other"
4	0	2	0	2	1	5	1	8.5	"no"	"male"	"no"	8	14.8248	"no"	"no"	"no"	"midwest"	"other"
0	1	1	0	0	0	1	0	6.6	"no"	"female"	"no"	12	1.38	"no"	"no"	"no"	"midwest"	"other"
6	0	4	0	0	0	3	1	6.7	"no"	"female"	"no"	8	0.4659	"no"	"no"	"yes"	"midwest"	"other"
5	0	0	0	0	0	2	0	6.7	"no"	"male"	"yes"	9	1.3264	"no"	"yes"	"no"	"midwest"	"other"
14	0	0	0	2	1	1	1	7.2	"no"	"female"	"no"	11	1.235	"no"	"yes"	"no"	"midwest"	"other"
6	0	11	0	1	1	3	1	6.8	"yes"	"female"	"no"	10	0.5256	"no"	"no"	"yes"	"midwest"	"other"
0	0	0	0	1	0	0	0	7.2	"yes"	"male"	"yes"	4	1.856	"no"	"no"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	7.6	"yes"	"female"	"yes"	10	1.856	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	6.8	"yes"	"male"	"yes"	12	0.636	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	0	0	7	"yes"	"female"	"yes"	6	0.9624	"no"	"no"	"no"	"midwest"	"other"
3	0	0	0	0	0	1	0	7.5	"yes"	"male"	"yes"	4	0.9624	"no"	"no"	"no"	"midwest"	"other"
1	0	6	0	0	1	1	0	8.4	"yes"	"female"	"yes"	3	1.7408	"no"	"no"	"no"	"midwest"	"other"
1	0	6	0	0	0	0	0	8.2	"yes"	"male"	"yes"	12	1.7408	"no"	"no"	"no"	"midwest"	"other"
7	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	5	1.7062	"no"	"no"	"no"	"midwest"	"other"
2	0	0	0	0	0	0	0	7.8	"no"	"female"	"no"	10	0.8905	"no"	"yes"	"no"	"midwest"	"excellent"
22	0	2	2	0	0	2	0	6.8	"no"	"female"	"no"	8	0.5044	"yes"	"yes"	"no"	"midwest"	"other"
6	1	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	12	3.1831	"no"	"yes"	"no"	"midwest"	"other"
4	1	1	1	0	0	1	0	6.8	"no"	"female"	"yes"	12	3.1831	"no"	"yes"	"no"	"midwest"	"other"
8	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	16	6.5247	"yes"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	2	0	8	"no"	"male"	"yes"	12	6.0196	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	1	8	"no"	"female"	"yes"	12	6.0196	"no"	"yes"	"no"	"midwest"	"other"
3	3	0	1	0	0	3	0	7	"no"	"male"	"yes"	12	4.6035	"no"	"yes"	"no"	"midwest"	"other"
7	5	1	3	2	2	2	0	7.2	"no"	"male"	"no"	12	1.5901	"no"	"yes"	"no"	"midwest"	"other"
40	3	0	16	1	1	2	0	7.2	"no"	"female"	"no"	7	5.28	"no"	"yes"	"no"	"midwest"	"other"
11	0	1	1	0	0	0	0	7.8	"no"	"female"	"no"	0	1.7004	"no"	"yes"	"no"	"midwest"	"other"
2	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	8	0.9994	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	13	1.542	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	0	0	0	4	0	7.6	"no"	"male"	"no"	16	3.252	"no"	"yes"	"no"	"midwest"	"other"
3	0	2	0	0	0	5	0	7	"no"	"female"	"no"	5	1.314	"no"	"no"	"yes"	"midwest"	"poor"
17	3	0	2	0	0	1	0	8.1	"no"	"female"	"no"	14	1.0423	"no"	"yes"	"no"	"midwest"	"other"
12	0	0	0	1	0	1	1	6.8	"no"	"male"	"yes"	8	2.4656	"no"	"yes"	"no"	"midwest"	"other"
17	0	0	6	0	0	2	1	6.7	"no"	"female"	"yes"	12	2.4656	"no"	"yes"	"no"	"midwest"	"other"
3	5	0	0	1	0	0	0	6.6	"no"	"male"	"yes"	12	2.4677	"no"	"yes"	"no"	"midwest"	"excellent"
4	4	0	0	0	0	6	1	7.7	"no"	"male"	"yes"	6	5.126	"no"	"yes"	"no"	"midwest"	"other"
0	6	1	1	0	0	1	0	6.6	"no"	"female"	"yes"	17	5.126	"yes"	"yes"	"no"	"midwest"	"other"
7	0	1	0	0	1	1	0	8.1	"no"	"male"	"yes"	12	2.4589	"no"	"yes"	"no"	"midwest"	"other"
9	2	0	1	0	0	1	0	7.1	"no"	"female"	"yes"	12	2.4589	"no"	"yes"	"no"	"midwest"	"other"
7	0	1	0	1	1	2	0	7.2	"no"	"male"	"yes"	10	2.0014	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	10	2.0014	"no"	"yes"	"no"	"midwest"	"other"
1	5	0	0	0	0	3	1	8	"no"	"female"	"no"	11	12.6288	"no"	"yes"	"no"	"midwest"	"other"
4	0	2	0	2	1	4	0	7.4	"no"	"female"	"no"	12	0.8776	"no"	"yes"	"no"	"midwest"	"poor"
1	2	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	3.309366	"no"	"yes"	"no"	"midwest"	"other"
6	0	0	1	0	1	1	0	7.1	"no"	"male"	"yes"	12	1.5108	"no"	"yes"	"no"	"midwest"	"other"
3	3	4	1	1	1	3	1	6.8	"no"	"female"	"yes"	12	1.5108	"no"	"yes"	"no"	"midwest"	"poor"
3	2	3	4	3	0	1	0	7.4	"yes"	"male"	"no"	16	2.918966	"no"	"yes"	"no"	"midwest"	"other"
21	0	0	0	2	0	2	0	7.2	"yes"	"male"	"yes"	14	1.2928	"no"	"yes"	"no"	"midwest"	"other"
0	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	5	0.828	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	1	1	1	0	8.3	"no"	"male"	"yes"	12	1.3786	"no"	"yes"	"no"	"midwest"	"other"
7	2	1	1	0	1	2	0	7	"no"	"female"	"yes"	12	2.2526	"no"	"yes"	"no"	"midwest"	"other"
5	0	0	1	0	0	1	0	6.8	"no"	"male"	"yes"	10	2.2526	"no"	"yes"	"no"	"midwest"	"other"
5	1	0	1	0	0	2	0	6.7	"no"	"male"	"yes"	13	4.586	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	13	4.586	"no"	"yes"	"no"	"midwest"	"other"
4	0	0	2	0	0	2	1	7.7	"no"	"male"	"no"	12	2.2151	"no"	"yes"	"no"	"midwest"	"poor"
0	0	0	0	0	0	0	0	6.7	"no"	"male"	"yes"	12	3.2438	"no"	"yes"	"no"	"midwest"	"other"
9	0	0	0	1	1	3	1	6.6	"no"	"female"	"yes"	7	3.2438	"no"	"yes"	"no"	"midwest"	"other"
1	0	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	12	2.8156	"yes"	"yes"	"no"	"midwest"	"other"
6	5	0	1	0	0	1	0	7.1	"no"	"female"	"no"	17	8.559	"no"	"yes"	"no"	"midwest"	"other"
3	2	0	0	0	0	1	0	7.1	"no"	"female"	"no"	13	1.1798	"yes"	"yes"	"no"	"midwest"	"other"
8	6	0	2	0	0	2	0	6.6	"no"	"male"	"yes"	12	9.2488	"no"	"yes"	"no"	"midwest"	"other"
3	0	0	0	0	0	2	1	7.1	"no"	"female"	"no"	12	1.1124	"no"	"yes"	"no"	"noreast"	"other"
0	0	0	0	0	0	2	0	7.8	"no"	"male"	"no"	9	2.72	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	0	0	0	0	0	7.1	"no"	"male"	"yes"	12	5.9575	"no"	"yes"	"no"	"noreast"	"other"
5	18	0	0	0	0	0	1	8.4	"no"	"male"	"no"	7	0.4296	"no"	"yes"	"yes"	"noreast"	"excellent"
4	0	0	0	0	0	3	1	8.1	"no"	"female"	"no"	7	0.6396	"no"	"yes"	"no"	"noreast"	"other"
9	0	0	0	0	0	2	0	7.2	"no"	"female"	"no"	8	0.5876	"no"	"yes"	"no"	"noreast"	"other"
4	0	0	0	0	0	2	0	7.9	"no"	"female"	"no"	7	0.3948	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	2	2	1	1	0	7.2	"no"	"female"	"no"	9	0.4404	"no"	"no"	"no"	"noreast"	"other"
1	0	0	0	0	0	1	0	6.6	"no"	"male"	"yes"	12	2.2789	"yes"	"yes"	"no"	"noreast"	"excellent"
0	0	0	0	0	0	0	0	8.2	"no"	"female"	"no"	8	5.388	"no"	"no"	"no"	"noreast"	"other"
12	1	0	0	2	4	2	0	7.9	"no"	"female"	"no"	12	0.72	"no"	"yes"	"no"	"noreast"	"other"
3	0	0	0	0	1	2	0	6.8	"no"	"male"	"yes"	8	1.5117	"no"	"yes"	"no"	"noreast"	"other"
9	0	1	0	0	2	2	0	7.1	"no"	"male"	"yes"	14	1.0896	"no"	"yes"	"no"	"noreast"	"other"
4	0	1	0	1	0	2	0	6.9	"no"	"female"	"yes"	10	1.0896	"no"	"yes"	"no"	"noreast"	"other"
6	1	0	0	0	0	2	0	7.4	"no"	"female"	"no"	13	1.5824	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	4	1	7.9	"yes"	"female"	"no"	2	0.4488	"no"	"no"	"yes"	"other"	"other"
9	0	1	0	0	0	1	1	8.7	"no"	"female"	"no"	9	0.8152	"no"	"yes"	"no"	"other"	"poor"
17	0	2	0	1	0	0	0	7.7	"no"	"female"	"no"	12	0.6234	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	7.1	"no"	"male"	"yes"	12	3.16	"yes"	"yes"	"no"	"other"	"other"
4	1	0	1	0	1	2	0	6.9	"no"	"female"	"yes"	10	3.16	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	0	1	7.6	"yes"	"male"	"no"	2	1.3416	"no"	"no"	"no"	"other"	"other"
14	2	2	0	1	0	2	1	8.7	"yes"	"female"	"no"	3	1.3416	"no"	"no"	"yes"	"other"	"other"
6	0	2	0	0	0	1	0	7.4	"no"	"male"	"yes"	5	0.9252	"no"	"no"	"no"	"other"	"other"
5	0	0	0	1	1	5	0	7	"no"	"female"	"yes"	12	0.9252	"no"	"yes"	"no"	"other"	"poor"
9	1	0	0	2	1	3	1	7.7	"no"	"female"	"no"	7	0.4248	"no"	"no"	"yes"	"other"	"other"
15	5	0	1	0	0	1	0	7.3	"no"	"female"	"no"	10	0.5212	"no"	"yes"	"no"	"other"	"other"
14	0	0	4	0	0	3	1	8.2	"no"	"male"	"no"	6	0.4932	"no"	"yes"	"no"	"other"	"poor"
10	7	2	1	0	0	1	1	7	"no"	"female"	"no"	12	0.4332	"no"	"no"	"yes"	"other"	"poor"
7	0	0	0	0	0	3	0	7.8	"no"	"female"	"no"	8	0.9574	"no"	"yes"	"no"	"other"	"excellent"
1	0	0	0	0	0	1	0	7.5	"no"	"female"	"no"	3	0.4332	"no"	"no"	"yes"	"other"	"other"
8	0	0	0	0	0	1	0	6.9	"no"	"female"	"no"	10	0.4488	"no"	"no"	"yes"	"other"	"other"
9	0	0	0	1	0	1	1	7.1	"yes"	"female"	"no"	12	0.7968	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	1	0	7.5	"no"	"female"	"no"	12	0.4608	"no"	"yes"	"no"	"other"	"other"
8	0	0	0	0	2	5	1	8.1	"no"	"female"	"no"	16	2.2271	"no"	"yes"	"no"	"other"	"other"
18	0	1	1	1	1	2	0	7.1	"no"	"male"	"yes"	13	2.654	"no"	"yes"	"no"	"other"	"other"
12	0	0	0	0	0	0	0	7	"no"	"female"	"yes"	9	2.654	"no"	"yes"	"no"	"other"	"other"
9	1	0	1	0	0	2	0	7.2	"no"	"female"	"no"	13	1.2114	"no"	"yes"	"no"	"other"	"other"
18	1	0	4	1	1	1	0	7.9	"no"	"female"	"no"	18	2.3161	"no"	"yes"	"no"	"other"	"other"
7	0	2	0	0	0	3	0	7.2	"no"	"male"	"yes"	17	3.188	"yes"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	2	0	7.8	"no"	"female"	"no"	16	2.9373	"no"	"no"	"no"	"other"	"other"
9	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	12	0.69	"no"	"yes"	"no"	"other"	"other"
5	0	0	1	0	0	2	0	7.5	"no"	"female"	"no"	9	1.6672	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	8	0.432	"no"	"no"	"yes"	"other"	"other"
23	0	0	6	2	3	2	1	7.2	"no"	"male"	"yes"	6	1.3107	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	3	0	0	0	6.6	"no"	"male"	"yes"	8	1.584	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"male"	"yes"	14	4.44	"yes"	"no"	"no"	"other"	"excellent"
9	9	3	0	0	1	4	0	6.6	"no"	"female"	"yes"	4	0.6202	"no"	"no"	"yes"	"other"	"other"
8	0	0	0	0	0	4	1	7.4	"no"	"male"	"yes"	4	0.8939	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.2	"no"	"female"	"yes"	12	0.8939	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	1	2	3	0	7.2	"no"	"female"	"no"	14	3.58	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7	"yes"	"male"	"no"	4	0.4308	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	1	0	5	0	7.9	"yes"	"female"	"no"	6	0.8568	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	6	1	8	"yes"	"male"	"no"	0	0.8568	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	2	0	1	0	7.4	"yes"	"male"	"yes"	6	1.7128	"no"	"no"	"yes"	"other"	"other"
0	2	2	0	0	0	2	0	8.6	"no"	"female"	"no"	18	2.6303	"no"	"yes"	"no"	"other"	"excellent"
4	0	0	0	0	0	1	0	8.4	"no"	"female"	"no"	18	2.6303	"no"	"yes"	"no"	"other"	"excellent"
0	0	1	0	3	1	2	1	7.1	"yes"	"male"	"yes"	4	1.0669	"no"	"yes"	"no"	"other"	"poor"
0	0	0	0	0	0	1	0	6.8	"yes"	"female"	"yes"	4	1.0669	"no"	"yes"	"no"	"other"	"other"
17	0	4	0	4	4	4	1	7.3	"yes"	"female"	"no"	5	0.4284	"no"	"no"	"yes"	"other"	"poor"
0	0	0	0	0	0	0	0	6.9	"no"	"male"	"yes"	12	2.7188	"no"	"yes"	"no"	"other"	"excellent"
3	0	0	0	0	0	2	0	6.8	"no"	"female"	"no"	1	0.864	"no"	"no"	"yes"	"other"	"other"
14	0	0	0	0	0	4	0	6.8	"yes"	"male"	"yes"	1	4.4051	"yes"	"no"	"yes"	"other"	"other"
14	0	0	0	0	0	1	0	6.9	"yes"	"female"	"yes"	1	4.4051	"yes"	"yes"	"yes"	"other"	"other"
11	0	0	0	1	0	1	1	8.6	"yes"	"female"	"no"	0	4.4051	"no"	"no"	"yes"	"other"	"poor"
0	0	0	0	0	0	2	0	7.7	"yes"	"male"	"no"	0	0.2628	"no"	"no"	"yes"	"other"	"poor"
5	0	0	0	0	0	2	1	8.1	"yes"	"male"	"no"	3	4.5126	"no"	"no"	"yes"	"other"	"poor"
5	0	0	0	0	1	3	1	8.3	"yes"	"female"	"no"	16	2.0564	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	2	0	7.2	"yes"	"male"	"no"	7	1.6212	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	8.1	"yes"	"female"	"no"	7	1.6212	"no"	"no"	"yes"	"other"	"other"
3	0	1	0	1	0	2	0	7.7	"yes"	"female"	"no"	5	1.6212	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	0	0	6.8	"no"	"female"	"no"	6	1.7966	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.8	"no"	"male"	"yes"	16	1.7552	"no"	"yes"	"no"	"other"	"excellent"
6	0	3	0	0	0	2	0	7.4	"no"	"female"	"yes"	13	1.7552	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	3	6	3	1	9	"no"	"female"	"no"	11	3.8342	"no"	"yes"	"no"	"other"	"other"
2	1	0	0	0	0	3	1	7.9	"no"	"female"	"no"	8	0.6948	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	1	0	0	0	6.6	"no"	"male"	"yes"	16	2.0564	"no"	"no"	"no"	"other"	"other"
17	0	1	0	2	2	2	0	7.2	"no"	"female"	"yes"	10	3.7416	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	6.7	"no"	"female"	"no"	7	0.8916	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	3	1	6.8	"no"	"male"	"no"	0	3.9082	"no"	"no"	"yes"	"other"	"other"
17	0	0	2	1	1	4	1	8.3	"no"	"female"	"no"	16	0.954	"no"	"yes"	"no"	"other"	"poor"
0	0	1	0	0	1	2	0	7	"yes"	"male"	"yes"	9	0.588	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	1	1	7.6	"no"	"male"	"no"	11	0.6524	"no"	"yes"	"no"	"other"	"other"
13	0	1	0	1	0	2	0	7.4	"no"	"female"	"no"	8	1.004	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	0	0	2	0	6.7	"no"	"female"	"no"	8	0.4359	"no"	"yes"	"no"	"other"	"other"
6	3	0	0	1	6	3	0	7.5	"yes"	"female"	"no"	5	1.0248	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	0	0	7.5	"no"	"male"	"no"	8	0.6336	"no"	"no"	"no"	"other"	"other"
13	8	0	0	0	1	1	0	7.7	"no"	"male"	"yes"	8	0.7492	"no"	"yes"	"no"	"other"	"other"
19	5	0	0	0	0	1	1	7.5	"no"	"female"	"yes"	8	0.7492	"no"	"yes"	"no"	"other"	"poor"
15	3	1	4	0	2	5	0	7.2	"no"	"male"	"yes"	12	2.4488	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7.1	"no"	"female"	"yes"	13	2.4488	"no"	"yes"	"no"	"other"	"other"
9	0	0	1	0	0	2	0	7.8	"no"	"male"	"yes"	8	3.5354	"no"	"yes"	"no"	"other"	"other"
12	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	12	3.5354	"no"	"yes"	"no"	"other"	"other"
0	5	0	0	0	0	1	0	7.3	"no"	"male"	"yes"	8	1.3128	"yes"	"yes"	"no"	"other"	"other"
8	1	0	0	2	0	0	0	7.4	"no"	"female"	"yes"	14	1.3128	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	2	1	7.2	"no"	"female"	"no"	18	1.2953	"no"	"yes"	"no"	"other"	"excellent"
11	5	0	0	0	0	2	0	7.5	"no"	"male"	"yes"	8	1.4782	"no"	"yes"	"no"	"other"	"excellent"
1	5	0	0	0	0	4	0	7.1	"no"	"female"	"yes"	12	1.4782	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	8	3.0212	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.8	"no"	"female"	"yes"	12	3.0212	"yes"	"yes"	"no"	"other"	"other"
11	0	0	1	1	1	3	0	7.5	"no"	"male"	"yes"	8	1.2691	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	2	1	7.3	"no"	"female"	"yes"	6	0.6944	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	1	0	1	7.8	"no"	"female"	"yes"	16	7.4	"no"	"yes"	"no"	"other"	"other"
9	0	0	1	0	0	2	1	8.1	"no"	"female"	"no"	8	0.4266	"no"	"no"	"yes"	"other"	"poor"
13	0	3	6	0	3	2	0	7	"no"	"male"	"yes"	8	0.9572	"no"	"yes"	"no"	"other"	"other"
3	1	1	0	1	1	0	0	8.2	"no"	"male"	"yes"	6	1.985558	"yes"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	4	0	7.2	"no"	"female"	"yes"	7	1.985558	"no"	"yes"	"no"	"other"	"other"
7	1	1	0	3	0	3	1	7	"no"	"female"	"no"	6	0.7404	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	2	0	6.8	"yes"	"male"	"yes"	12	4.8896	"no"	"yes"	"no"	"other"	"other"
6	3	0	0	0	0	0	0	6.8	"yes"	"male"	"yes"	12	1.5494	"no"	"yes"	"no"	"other"	"other"
10	0	0	0	2	0	2	0	7	"yes"	"female"	"no"	0	4.0528	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	8.3	"yes"	"female"	"no"	7	0.948	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	0	0	1	0	8.1	"yes"	"female"	"no"	7	0.948	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	1	0	7.9	"yes"	"female"	"no"	7	0.948	"no"	"no"	"yes"	"other"	"other"
10	0	0	0	0	0	0	0	6.9	"yes"	"female"	"no"	12	0.3644	"no"	"yes"	"no"	"other"	"other"
7	1	0	0	0	0	6	1	7.5	"yes"	"female"	"no"	4	3.0628	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"yes"	"male"	"no"	7	3.815	"yes"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	6.7	"yes"	"male"	"yes"	12	0.6274	"yes"	"yes"	"no"	"other"	"other"
6	0	1	0	0	0	2	0	7.2	"no"	"male"	"yes"	8	2.08	"no"	"no"	"no"	"other"	"poor"
0	0	1	0	0	0	4	1	6.7	"no"	"male"	"yes"	5	1.2228	"no"	"no"	"no"	"other"	"poor"
6	0	0	0	1	0	2	1	8.6	"no"	"female"	"no"	11	0.534	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	14	3.8399	"no"	"yes"	"no"	"other"	"other"
1	0	1	0	0	0	2	0	7.5	"no"	"female"	"no"	7	0.886	"no"	"no"	"no"	"other"	"other"
7	0	2	0	0	0	0	0	8.5	"no"	"male"	"no"	1	0.6604	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	3	0	6.8	"no"	"male"	"yes"	12	2.3385	"no"	"no"	"no"	"other"	"poor"
16	0	0	0	0	0	1	1	7.7	"no"	"female"	"no"	6	0.4116	"no"	"yes"	"no"	"other"	"poor"
11	0	0	0	0	0	2	1	7.7	"no"	"male"	"yes"	11	2.9482	"no"	"yes"	"no"	"other"	"poor"
14	0	1	1	1	1	1	0	7.3	"no"	"female"	"yes"	11	2.9482	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	7.2	"no"	"male"	"yes"	8	2.6207	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	12	2.6207	"no"	"no"	"no"	"other"	"other"
4	0	1	0	0	0	1	0	7.4	"no"	"male"	"yes"	5	1.658	"yes"	"no"	"no"	"other"	"other"
5	0	0	1	0	0	1	0	6.8	"no"	"male"	"yes"	12	2.4534	"no"	"yes"	"no"	"other"	"other"
2	0	0	1	0	0	1	0	6.9	"no"	"female"	"yes"	12	2.4534	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	1	0	1	0	7.3	"no"	"female"	"yes"	11	2.6796	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	6.8	"yes"	"female"	"no"	0	3.5199	"no"	"no"	"yes"	"other"	"other"
10	1	1	0	0	0	3	0	6.6	"yes"	"female"	"no"	12	0.4608	"no"	"no"	"no"	"other"	"other"
10	0	0	0	0	0	3	0	7.8	"yes"	"female"	"no"	7	5.482	"no"	"no"	"no"	"other"	"other"
4	0	0	0	0	1	0	0	7.6	"no"	"female"	"no"	8	0.9392	"no"	"yes"	"no"	"other"	"excellent"
2	0	0	0	0	0	0	0	8.3	"no"	"female"	"no"	8	4.0972	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	1	0	4	1	8.8	"no"	"female"	"no"	5	1.070871	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	8.1	"no"	"male"	"yes"	5	0.9216	"no"	"no"	"no"	"other"	"other"
15	0	0	0	0	0	6	0	7.3	"no"	"female"	"yes"	5	0.9216	"no"	"no"	"no"	"other"	"poor"
1	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	7	1.6844	"no"	"no"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	6.8	"no"	"female"	"no"	0	0.6072	"no"	"yes"	"no"	"other"	"other"
16	0	0	0	0	1	2	0	7.1	"no"	"female"	"no"	7	6.7674	"no"	"yes"	"no"	"other"	"poor"
10	0	0	0	0	0	1	0	6.6	"no"	"male"	"no"	14	4.478355	"no"	"yes"	"no"	"other"	"other"
21	1	0	0	0	0	0	0	7.8	"no"	"female"	"no"	16	0.6716	"no"	"no"	"no"	"other"	"other"
1	0	0	0	0	0	2	0	6.7	"yes"	"male"	"yes"	4	2.3224	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	4	1	8.3	"yes"	"female"	"no"	3	0.7884	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	1	0	6.9	"yes"	"male"	"yes"	4	1.0848	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	8.9	"yes"	"female"	"no"	5	1.0848	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	1	1	8.3	"no"	"female"	"no"	7	2.4828	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	1	0	1	0	7.3	"yes"	"female"	"no"	7	0.9468	"yes"	"no"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	6.7	"no"	"male"	"yes"	8	2.6198	"yes"	"yes"	"no"	"other"	"other"
16	6	5	4	2	1	5	1	7.9	"no"	"male"	"yes"	12	1.628	"no"	"no"	"no"	"other"	"poor"
8	30	0	0	0	0	2	1	6.6	"no"	"female"	"yes"	12	1.628	"no"	"yes"	"no"	"other"	"other"
3	14	0	0	0	0	1	0	8.1	"yes"	"male"	"no"	4	0.4416	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.9	"yes"	"female"	"no"	7	0.432	"no"	"no"	"no"	"other"	"other"
6	0	0	0	1	1	0	0	7.4	"yes"	"male"	"no"	9	1.0212	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	1	0	2	0	6.7	"yes"	"male"	"yes"	3	0.3991	"yes"	"yes"	"no"	"other"	"other"
4	0	0	6	0	0	1	1	6.6	"yes"	"male"	"no"	4	0.78	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.9	"yes"	"female"	"yes"	5	1.102	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.6	"yes"	"male"	"yes"	12	1.102	"no"	"no"	"no"	"other"	"other"
1	1	0	0	0	0	0	0	7.6	"yes"	"female"	"no"	4	0.6288	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	7.2	"no"	"male"	"yes"	14	1.392	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	6.7	"no"	"female"	"yes"	13	1.392	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	14	2.6486	"no"	"no"	"no"	"other"	"excellent"
4	0	1	0	0	1	4	0	7.9	"no"	"male"	"yes"	7	0.8412	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	2	0	8	"no"	"female"	"yes"	10	0.8412	"no"	"no"	"no"	"other"	"other"
2	0	0	0	0	0	2	0	6.7	"no"	"male"	"no"	7	0.6397	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.9	"no"	"male"	"yes"	8	0.6264	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	4	0	7.4	"no"	"female"	"yes"	9	0.6264	"no"	"yes"	"no"	"other"	"other"
7	0	1	0	2	2	2	1	6.8	"no"	"male"	"yes"	6	1.8376	"no"	"yes"	"no"	"other"	"poor"
3	9	0	0	0	0	0	0	6.8	"no"	"female"	"no"	13	2.8685	"yes"	"yes"	"no"	"other"	"excellent"
3	0	0	0	0	0	2	0	7.6	"no"	"female"	"no"	11	0.6309	"no"	"yes"	"no"	"other"	"other"
14	1	0	1	0	0	1	0	7	"no"	"male"	"yes"	4	0.9084	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"male"	"no"	10	1.3003	"no"	"yes"	"no"	"other"	"excellent"
0	0	0	0	1	1	3	0	6.8	"no"	"male"	"yes"	1	0.6384	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	2	0.6384	"no"	"no"	"no"	"other"	"other"
3	0	0	1	0	0	3	1	8.2	"no"	"female"	"no"	12	1.0364	"no"	"yes"	"no"	"other"	"poor"
9	0	0	0	0	0	0	0	8.2	"no"	"male"	"yes"	14	10.0928	"no"	"yes"	"no"	"other"	"other"
7	7	0	0	0	0	2	0	8.1	"no"	"female"	"yes"	14	10.0928	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	10	0.91	"no"	"yes"	"no"	"other"	"other"
4	1	0	0	0	0	3	1	7.7	"no"	"female"	"no"	0	0.438	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	0	0	1	1	8.5	"no"	"male"	"no"	0	0.4748	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	1	7.1	"no"	"female"	"no"	0	0.222	"no"	"no"	"no"	"other"	"other"
4	1	0	0	0	1	1	1	7.3	"no"	"female"	"no"	2	0.438	"no"	"no"	"yes"	"other"	"other"
3	0	0	0	0	0	0	0	6.7	"no"	"female"	"no"	3	0.4488	"no"	"no"	"yes"	"other"	"other"
11	0	0	0	0	0	1	0	7.6	"no"	"female"	"no"	11	0.372	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	1	0	0	0	7.4	"no"	"male"	"yes"	0	1.86	"yes"	"yes"	"no"	"other"	"other"
0	1	0	0	0	0	0	0	7.4	"no"	"female"	"yes"	2	1.86	"no"	"yes"	"no"	"other"	"other"
5	0	0	0	0	0	2	0	6.6	"no"	"male"	"yes"	12	0.7185	"no"	"no"	"no"	"other"	"other"
8	0	0	0	1	0	1	0	6.7	"no"	"female"	"yes"	2	0.7185	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	6.9	"no"	"male"	"no"	6	0.8854	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	8.3	"no"	"male"	"yes"	8	1.208	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	2	0	7.4	"no"	"female"	"yes"	8	1.208	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	9	0.5943	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	0	0	6.6	"no"	"female"	"no"	12	0.9908	"yes"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	8.3	"no"	"male"	"yes"	0	0.3324	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	1	0	4	0	7.8	"no"	"female"	"yes"	0	0.3324	"no"	"no"	"yes"	"other"	"other"
56	104	0	0	4	3	4	0	6.7	"no"	"male"	"yes"	16	0.4629	"no"	"yes"	"no"	"other"	"poor"
2	1	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	12	2.6644	"no"	"yes"	"no"	"other"	"other"
6	0	1	0	0	0	1	0	7.3	"no"	"female"	"yes"	11	2.6644	"no"	"yes"	"no"	"other"	"other"
24	0	0	24	0	1	2	0	7.5	"yes"	"female"	"no"	16	0.8484	"no"	"no"	"no"	"other"	"poor"
0	0	0	0	0	0	1	0	6.8	"yes"	"female"	"yes"	6	1.244	"no"	"no"	"no"	"other"	"other"
0	0	6	0	0	1	1	0	6.6	"no"	"male"	"yes"	12	2.7344	"no"	"no"	"no"	"other"	"other"
7	0	0	0	0	1	1	0	7.8	"no"	"male"	"yes"	13	1.5774	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	1	0	6	1	8.1	"no"	"female"	"no"	3	0.516	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	0	0	7.7	"no"	"female"	"no"	12	2.0668	"no"	"yes"	"no"	"other"	"excellent"
5	1	0	0	0	0	3	0	7.7	"no"	"male"	"yes"	16	3.7428	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	4	0	6.7	"no"	"female"	"yes"	12	3.7428	"no"	"yes"	"no"	"other"	"other"
11	0	1	0	0	0	0	0	8.6	"no"	"male"	"no"	18	2.6997	"no"	"yes"	"no"	"other"	"excellent"
6	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	5.9015	"no"	"yes"	"no"	"other"	"other"
7	8	2	1	0	0	3	0	7	"no"	"female"	"yes"	12	5.9015	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.5	"no"	"male"	"yes"	10	1.1878	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	3	1	7	"no"	"female"	"yes"	12	1.1878	"no"	"yes"	"no"	"other"	"other"
2	0	0	1	0	1	0	0	7.5	"no"	"male"	"yes"	12	4.1128	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.3	"no"	"male"	"yes"	5	1.2842	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	1	6.8	"no"	"female"	"yes"	8	1.2842	"no"	"yes"	"no"	"other"	"other"
14	3	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	9	1.5484	"yes"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	1	0	6.7	"no"	"female"	"yes"	12	1.5484	"no"	"yes"	"no"	"other"	"other"
4	0	0	0	0	0	0	0	7.8	"no"	"male"	"yes"	3	0.9892	"no"	"no"	"no"	"other"	"excellent"
2	0	3	0	0	0	2	0	7.7	"no"	"female"	"yes"	10	0.9892	"no"	"no"	"no"	"other"	"excellent"
5	2	0	0	0	0	1	0	7	"no"	"male"	"yes"	18	4.0465	"no"	"yes"	"no"	"other"	"other"
3	1	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	16	4.0465	"no"	"yes"	"no"	"other"	"other"
11	0	0	1	0	4	3	0	7.3	"no"	"female"	"yes"	12	1.0548	"yes"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	1	6.8	"yes"	"female"	"no"	8	0.0014	"no"	"no"	"yes"	"other"	"other"
11	0	0	0	1	1	3	1	8.2	"yes"	"female"	"no"	5	0.3984	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	3	0	7.1	"no"	"male"	"yes"	5	0.7719	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	0.7719	"no"	"no"	"no"	"other"	"other"
7	2	0	0	0	0	1	0	6.6	"yes"	"male"	"yes"	4	0.6636	"no"	"no"	"yes"	"other"	"poor"
12	1	1	2	0	3	2	0	6.8	"no"	"male"	"yes"	0	1.4545	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	2	1	1	1	8	"yes"	"female"	"no"	5	0.8372	"no"	"no"	"yes"	"other"	"poor"
2	0	0	0	0	0	1	0	7.4	"yes"	"female"	"no"	7	0.6344	"no"	"no"	"no"	"other"	"other"
3	0	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	10	0.6231	"no"	"no"	"yes"	"other"	"poor"
3	0	0	0	0	0	1	1	7.2	"yes"	"female"	"no"	7	3.3983	"no"	"no"	"yes"	"other"	"poor"
5	0	0	0	0	0	2	0	6.9	"no"	"male"	"yes"	7	0.7069	"no"	"no"	"no"	"other"	"other"
10	0	0	0	0	0	1	1	8.1	"no"	"female"	"no"	16	4.0479	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	5	0	6.6	"no"	"male"	"yes"	4	0.6636	"no"	"no"	"yes"	"other"	"poor"
13	1	0	0	0	0	2	0	6.8	"no"	"female"	"yes"	7	0.6636	"no"	"no"	"yes"	"other"	"poor"
1	1	0	0	0	0	0	0	6.9	"no"	"male"	"no"	4	1.8923	"no"	"no"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	12	1.7628	"no"	"yes"	"no"	"other"	"other"
5	0	1	1	0	0	2	0	6.9	"no"	"male"	"yes"	8	1.2242	"no"	"yes"	"no"	"other"	"other"
15	0	16	0	1	0	4	0	8.2	"no"	"female"	"no"	17	1.0017	"no"	"no"	"no"	"other"	"other"
9	1	6	0	0	1	1	0	6.7	"yes"	"female"	"no"	11	0.3744	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	1	1	1	9.2	"yes"	"female"	"no"	1	0.6536	"no"	"no"	"yes"	"other"	"poor"
14	0	0	0	1	1	5	0	7.8	"yes"	"female"	"no"	12	1.2632	"no"	"no"	"yes"	"other"	"poor"
1	0	0	0	0	0	2	1	8.4	"yes"	"female"	"no"	6	0.3936	"no"	"no"	"no"	"other"	"other"
5	0	0	0	0	0	3	1	7.1	"yes"	"female"	"no"	12	0.6624	"no"	"yes"	"no"	"other"	"poor"
4	0	0	0	0	0	2	0	7.4	"yes"	"female"	"no"	10	1.0016	"no"	"no"	"yes"	"other"	"other"
3	0	0	0	0	0	3	0	8.8	"yes"	"female"	"no"	4	1.0016	"no"	"no"	"no"	"other"	"other"
2	0	11	0	0	2	1	0	6.6	"yes"	"male"	"no"	7	1.0016	"no"	"yes"	"no"	"other"	"poor"
3	0	0	0	0	0	0	0	7	"no"	"male"	"yes"	3	1.6032	"yes"	"yes"	"no"	"other"	"other"
9	0	0	0	1	1	2	1	9	"yes"	"male"	"yes"	4	0.3972	"no"	"no"	"yes"	"other"	"poor"
13	0	0	0	0	0	2	1	8.2	"yes"	"female"	"yes"	4	0.3972	"no"	"no"	"yes"	"other"	"poor"
6	0	0	0	0	0	1	1	6.9	"no"	"female"	"no"	8	1.3141	"no"	"no"	"yes"	"other"	"poor"
12	1	0	0	0	0	3	1	8.1	"no"	"female"	"no"	8	0.4488	"no"	"no"	"yes"	"other"	"poor"
15	0	0	0	0	0	3	1	8.3	"no"	"male"	"yes"	7	1.3188	"no"	"yes"	"no"	"other"	"poor"
11	0	0	0	0	0	2	1	7.6	"no"	"female"	"yes"	7	1.3188	"no"	"yes"	"no"	"other"	"poor"
2	0	0	0	1	1	2	1	6.6	"no"	"male"	"yes"	6	4.639634	"no"	"no"	"no"	"other"	"other"
14	0	0	0	0	3	1	1	8.8	"no"	"male"	"yes"	8	4.1138	"no"	"no"	"no"	"other"	"other"
12	0	0	0	0	0	1	1	8.3	"no"	"female"	"yes"	8	4.1138	"no"	"no"	"no"	"other"	"poor"
16	0	0	0	1	2	4	1	8.1	"no"	"female"	"no"	6	0.4488	"no"	"no"	"yes"	"other"	"poor"
3	0	0	0	0	0	2	0	8.3	"no"	"female"	"no"	3	0.408	"no"	"no"	"yes"	"other"	"other"
3	0	0	0	0	0	1	1	8.4	"no"	"female"	"no"	6	0.414	"no"	"no"	"yes"	"other"	"other"
0	0	0	0	0	0	0	0	7.8	"no"	"male"	"no"	6	0.45	"no"	"yes"	"no"	"other"	"other"
3	2	0	0	0	1	3	0	7.1	"no"	"female"	"no"	6	0.3876	"no"	"no"	"no"	"other"	"other"
8	0	0	0	3	1	5	1	8.1	"no"	"male"	"yes"	6	0.6624	"no"	"no"	"yes"	"other"	"poor"
9	0	0	0	0	0	4	1	7.6	"no"	"female"	"yes"	8	0.6624	"no"	"no"	"yes"	"other"	"poor"
2	0	0	0	0	0	0	0	7.7	"yes"	"female"	"no"	8	0.4556	"no"	"no"	"yes"	"other"	"other"
2	0	0	0	0	0	1	0	6.9	"yes"	"male"	"yes"	8	1.6866	"no"	"no"	"yes"	"other"	"other"
5	0	0	0	0	0	3	0	7.2	"yes"	"female"	"yes"	7	1.6866	"no"	"no"	"yes"	"other"	"other"
6	0	1	0	1	0	2	1	9	"yes"	"female"	"no"	3	0.4248	"no"	"yes"	"yes"	"other"	"poor"
3	0	0	0	2	0	1	1	8	"yes"	"female"	"no"	9	0.4248	"no"	"no"	"yes"	"other"	"other"
4	0	0	0	0	0	1	0	6.6	"yes"	"female"	"no"	6	0.594	"no"	"no"	"yes"	"other"	"other"
10	6	0	0	0	0	2	1	7.9	"yes"	"male"	"yes"	11	6.8778	"no"	"no"	"no"	"west"	"other"
11	10	0	0	0	0	3	1	7.3	"yes"	"female"	"yes"	11	6.8778	"no"	"no"	"no"	"west"	"other"
7	1	0	0	0	0	5	1	8.3	"no"	"female"	"yes"	12	5.2492	"no"	"yes"	"no"	"west"	"poor"
0	1	13	0	0	0	4	1	6.6	"no"	"male"	"yes"	12	1.5155	"no"	"yes"	"no"	"west"	"other"
1	0	1	0	0	0	0	0	6.8	"no"	"female"	"yes"	12	1.5155	"no"	"yes"	"no"	"west"	"excellent"
3	0	0	0	0	0	1	0	8.8	"no"	"female"	"no"	6	0.336	"no"	"no"	"no"	"west"	"other"
1	0	0	0	0	0	0	0	7.6	"no"	"female"	"no"	8	0.7128	"no"	"yes"	"yes"	"west"	"excellent"
0	0	0	0	0	0	2	0	7.2	"no"	"male"	"yes"	16	2.14	"no"	"no"	"no"	"west"	"other"
11	5	1	0	1	2	3	0	8.1	"no"	"female"	"no"	14	3.254	"no"	"yes"	"no"	"west"	"other"
10	0	0	0	0	0	1	0	8.7	"no"	"female"	"no"	14	9.1296	"no"	"yes"	"no"	"west"	"other"
21	2	0	0	0	0	2	0	9.3	"no"	"male"	"no"	16	4.158692	"no"	"yes"	"no"	"west"	"other"
4	1	0	0	0	1	0	1	9.5	"no"	"female"	"no"	16	4.158692	"no"	"yes"	"no"	"west"	"poor"
3	0	0	0	0	0	0	0	8.1	"no"	"female"	"no"	12	3.246	"no"	"yes"	"no"	"west"	"other"
1	0	0	0	0	0	1	0	7.1	"no"	"male"	"yes"	12	1.8504	"no"	"yes"	"no"	"west"	"other"
1	0	1	0	0	0	1	0	6.9	"no"	"female"	"yes"	12	1.8504	"no"	"yes"	"no"	"west"	"other"
0	6	0	0	0	0	0	0	7.8	"no"	"male"	"no"	8	1.1985	"no"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	0	0	7.1	"no"	"female"	"no"	12	2.1053	"no"	"yes"	"no"	"west"	"excellent"
5	0	0	0	1	1	0	0	8.3	"no"	"female"	"no"	12	1.0259	"yes"	"yes"	"no"	"west"	"other"
4	0	0	0	0	0	2	0	7	"no"	"female"	"no"	12	0.6214	"no"	"no"	"no"	"west"	"other"
2	0	0	0	0	0	3	0	8.6	"no"	"male"	"no"	0	10.3301	"no"	"yes"	"no"	"west"	"other"
6	0	0	0	1	1	2	0	7	"no"	"male"	"yes"	15	7.7374	"no"	"yes"	"no"	"west"	"other"
7	25	3	0	0	0	2	0	8	"no"	"female"	"no"	14	1.0076	"no"	"yes"	"no"	"west"	"other"
2	2	0	0	0	0	0	0	7.4	"no"	"male"	"yes"	12	4.2428	"no"	"no"	"no"	"west"	"other"
4	10	0	0	0	0	0	1	7.3	"no"	"female"	"yes"	12	4.2428	"no"	"no"	"no"	"west"	"other"
15	0	0	0	1	1	7	1	8.9	"no"	"female"	"no"	17	7.8972	"no"	"no"	"no"	"west"	"other"
13	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	14	2.8674	"no"	"yes"	"no"	"west"	"other"
2	1	0	0	0	0	1	1	6.7	"no"	"female"	"yes"	14	2.8674	"no"	"yes"	"no"	"west"	"other"
14	1	1	0	0	2	2	0	6.7	"no"	"female"	"no"	13	1.4521	"yes"	"yes"	"no"	"west"	"other"
3	0	0	0	0	0	1	0	7.1	"yes"	"female"	"no"	3	0.192	"no"	"no"	"yes"	"other"	"other"
1	0	0	0	1	0	0	0	6.6	"yes"	"female"	"no"	10	1.064	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	6.6	"no"	"male"	"yes"	9	1.228	"yes"	"yes"	"no"	"other"	"other"
7	0	0	0	1	1	2	0	7.3	"no"	"female"	"yes"	11	1.228	"no"	"yes"	"no"	"other"	"poor"
1	0	0	0	0	0	2	0	7.8	"no"	"female"	"no"	10	0.5244	"no"	"no"	"no"	"other"	"other"
11	0	0	0	0	0	1	0	7.4	"no"	"male"	"yes"	15	18.4728	"no"	"yes"	"no"	"other"	"other"
10	0	0	1	0	0	0	0	6.7	"no"	"female"	"yes"	14	18.4728	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	3	0	7.7	"no"	"male"	"no"	12	3.0508	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	1	0	7.7	"no"	"male"	"yes"	16	3.4336	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.9	"no"	"female"	"yes"	12	3.4336	"no"	"yes"	"no"	"other"	"other"
1	0	0	0	0	0	0	0	7.8	"no"	"female"	"no"	11	0.8868	"no"	"yes"	"no"	"other"	"excellent"
2	0	0	0	1	1	2	0	7.8	"no"	"male"	"yes"	12	2.0184	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	13	12.9012	"yes"	"yes"	"no"	"other"	"other"
10	0	0	0	0	1	1	0	6.7	"no"	"female"	"yes"	12	12.9012	"no"	"yes"	"no"	"other"	"other"
7	0	0	0	0	0	1	0	8.7	"no"	"female"	"no"	18	1.8408	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	1	0	7.8	"no"	"male"	"yes"	15	2.0832	"no"	"yes"	"no"	"other"	"other"
1	1	1	0	0	0	1	0	7.5	"no"	"female"	"yes"	15	2.0832	"no"	"yes"	"no"	"other"	"other"
16	0	1	0	0	0	2	0	7.6	"no"	"male"	"yes"	8	2.4367	"no"	"yes"	"no"	"other"	"other"
6	0	0	0	0	0	1	0	7.3	"no"	"female"	"yes"	11	2.4367	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	1	2	0	8	"no"	"male"	"yes"	12	1.513	"no"	"yes"	"no"	"other"	"excellent"
8	0	0	0	0	0	0	0	7.9	"no"	"female"	"yes"	12	1.513	"no"	"yes"	"no"	"other"	"other"
11	0	0	1	0	0	1	0	7.1	"no"	"male"	"yes"	12	3.5648	"no"	"yes"	"no"	"other"	"other"
3	0	0	0	0	0	1	0	7.1	"no"	"female"	"yes"	10	3.5648	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	0	0	8.8	"no"	"female"	"no"	12	1.06	"no"	"yes"	"no"	"other"	"excellent"
1	0	0	0	0	0	3	1	8.2	"no"	"female"	"no"	16	3.47	"no"	"no"	"no"	"other"	"poor"
2	0	0	0	1	0	0	0	7.1	"no"	"male"	"yes"	12	2.22	"yes"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7	"no"	"female"	"yes"	12	2.22	"no"	"yes"	"no"	"other"	"other"
11	0	1	0	0	1	2	1	8.4	"no"	"male"	"yes"	4	1.9539	"no"	"yes"	"no"	"other"	"other"
2	0	0	0	0	0	1	0	7.6	"no"	"female"	"yes"	8	1.9539	"no"	"yes"	"no"	"other"	"other"
12	4	1	0	0	0	3	0	8.2	"no"	"male"	"yes"	7	2.2497	"no"	"yes"	"no"	"other"	"other"
11	0	0	0	0	0	0	0	8.4	"no"	"female"	"yes"	8	2.2497	"no"	"yes"	"no"	"other"	"other"
12	0	0	0	0	0	2	0	7.8	"no"	"female"	"no"	11	5.8132	"no"	"yes"	"no"	"other"	"other"
10	0	20	0	1	1	5	0	7.3	"no"	"male"	"yes"	12	3.877916	"no"	"yes"	"no"	"other"	"other"
16	1	0	0	0	0	0	0	6.6	"no"	"female"	"yes"	12	3.877916	"no"	"yes"	"no"	"other"	"other"
0	0	0	0	0	0	0	0	7.1	"no"	"male"	"yes"	0	6.5968	"yes"	"no"	"no"	"other"	"excellent"