Matematyka_Bayes/chol_sex_heart_attack.csv

1	chol	sex	heart attack	no heart attack
2	[120, 150]	0	0.7900763358778626	0.20992366412213742
3	[120, 150]	1	0.5057933317569164	0.4942066682430835
4	[150, 180]	0	0.7150259067357513	0.28497409326424866
5	[150, 180]	1	0.40557451649601817	0.5944254835039818
6	[180, 210]	0	0.8168701442841287	0.18312985571587126
7	[180, 210]	1	0.5481189641089703	0.4518810358910296
8	[210, 240]	0	0.7900763358778626	0.2099236641221374
9	[210, 240]	1	0.5057933317569164	0.4942066682430835
10	[240, 270]	0	0.7594186538732892	0.2405813461267109
11	[240, 270]	1	0.46189495365602473	0.5381050463439754
12	[270, 300]	0	0.5654082528533801	0.43459174714661986
13	[270, 300]	1	0.26132942377673635	0.7386705762232636
14	[300, 330]	0	0.7553882996920972	0.24461170030790286
15	[300, 330]	1	0.45644780538550794	0.5435521946144921
16	[330, 360]	0	0.5564516129032259	0.4435483870967742
17	[330, 360]	1	0.2543703175169461	0.745629682483054
18	[360, 390]	0	1.0	0.0
19	[360, 390]	1	1.0	0.0
20	[390, 420]	0	0.7150259067357513	0.2849740932642487
21	[390, 420]	1	0.4055745164960181	0.5944254835039817
22	[420, 450]	0	nan	nan
23	[420, 450]	1	nan	nan
24	[450, 480]	0	nan	nan
25	[450, 480]	1	nan	nan
26	[480, 510]	0	nan	nan
27	[480, 510]	1	nan	nan
28	[510, 540]	0	nan	nan
29	[510, 540]	1	nan	nan
30	[540, 570]	0	1.0	0.0
31	[540, 570]	1	1.0	0.0