Split (2)

train · 44.8k rows

age int64 10.8k 23.7k	height int64 57 250	weight float64 10 200	ap_hi int64 -150 14k	ap_lo int64 -70 11k	gender stringclasses 2 values	cholesterol stringclasses 3 values	gluc stringclasses 3 values	smoke stringclasses 2 values	alco stringclasses 2 values	active stringclasses 2 values	target stringclasses 2 values
19,739	155	55	100	70	1	1	1	0	0	1	0
22,003	164	68	130	90	1	1	1	0	0	1	1
20,528	160	54	130	90	1	1	1	0	0	1	0
16,651	174	71	120	80	2	1	1	1	0	1	0
15,858	173	75	120	80	2	1	1	0	0	1	0
19,132	166	59	130	70	2	1	1	0	0	1	1
19,659	164	80	130	90	1	1	1	1	0	1	1
15,927	172	78	160	100	2	1	1	0	0	0	1
22,158	164	92	90	70	1	1	1	0	0	1	1
21,753	147	59	150	80	1	1	1	0	0	1	1
18,866	175	65	120	80	1	1	1	0	0	1	0
19,607	163	62	90	70	1	1	1	0	0	1	0
19,491	162	68	120	80	2	1	1	0	1	1	1
17,413	168	72	140	90	1	2	1	0	0	1	1
23,388	172	68	140	1,000	2	1	1	0	0	1	1
16,661	180	91	140	90	2	3	3	0	0	1	1
16,928	160	58	110	80	1	1	1	0	0	1	0
16,054	168	75	90	60	1	1	1	0	0	1	0
23,399	176	85	140	100	2	3	1	0	0	0	1
22,610	164	82	140	87	1	1	1	0	0	1	1
22,894	162	63	120	80	1	3	3	0	0	1	0
18,091	165	64	120	9	2	1	1	0	0	1	0
20,436	152	50	120	70	1	2	1	0	0	1	0
22,412	154	79	130	90	1	1	1	0	0	1	1
18,054	168	89	120	80	2	1	1	0	0	0	0
18,180	157	60	130	100	1	1	1	0	0	1	1
23,391	159	61	120	80	1	1	1	0	0	1	1
20,162	164	62	130	90	1	1	1	0	0	1	0
15,938	170	68	120	80	1	1	1	0	0	0	0
20,414	160	99	130	80	1	2	1	0	0	1	1
18,087	166	130	130	70	1	2	3	1	0	1	0
16,558	161	69	120	80	1	1	1	0	0	1	0
23,488	166	69	120	80	1	1	1	0	0	1	1
17,339	162	65	140	90	1	1	1	0	0	0	1
18,462	158	62	150	90	1	2	1	0	0	1	1
21,119	165	65	130	80	1	1	1	0	0	1	1
22,028	175	75	185	120	2	3	3	0	0	1	1
21,183	168	65	80	120	2	1	3	0	0	1	1
18,194	166	78	120	80	1	1	1	0	0	0	0
21,944	170	90	110	80	2	2	2	0	0	0	1
14,371	165	72	100	80	2	3	3	0	0	1	0
14,587	161	71	120	80	1	1	1	0	0	0	0
20,645	165	68	120	80	1	1	1	0	0	1	0
21,942	169	70	150	80	1	1	1	0	0	1	1
19,871	154	54	120	80	1	1	1	0	0	1	0
14,620	158	73	120	80	1	2	1	0	0	1	0
19,880	158	85	110	70	1	1	1	0	0	1	0
21,294	152	42	160	90	1	1	1	0	0	1	1
18,086	167	65	120	80	1	1	3	0	0	0	0
15,151	171	74	140	90	2	1	1	0	0	1	1
15,910	173	84	110	70	2	1	1	1	0	1	0
15,983	160	94	140	90	1	1	1	0	0	0	1
15,258	175	83	100	60	1	1	1	0	0	1	0
20,516	162	82	120	60	1	3	3	0	0	1	0
21,094	154	62	120	80	1	1	1	0	0	0	0
16,636	158	60	120	90	1	1	1	0	0	1	0
19,707	160	56	150	80	1	1	1	0	0	1	1
15,377	165	87	110	70	1	2	2	0	0	1	0
19,429	167	85	130	90	1	2	1	0	0	1	1
16,067	174	84	80	120	1	1	1	0	0	1	0
21,428	170	69	120	80	1	1	1	0	0	0	0
19,222	168	71	110	80	1	1	1	0	0	1	0
23,500	165	75	110	70	2	1	1	0	0	0	1
17,531	157	73	120	80	1	1	1	0	0	1	0
19,637	162	66	110	70	2	1	1	0	0	1	0
21,946	176	79	180	90	2	2	2	0	0	1	1
18,196	158	63	90	60	1	1	1	0	0	1	0
21,184	166	70	120	80	1	1	1	0	0	1	1
22,663	166	64	130	80	1	1	1	0	0	0	0
23,242	159	92	170	1,000	1	1	1	0	0	1	1
23,188	152	69	120	79	1	1	1	0	0	1	1
17,482	157	67	160	90	1	1	1	0	0	1	1
19,672	178	87	140	90	2	3	3	0	0	1	1
18,959	157	58	150	90	1	1	1	0	0	1	1
19,027	172	75	140	90	2	1	1	1	0	1	1
16,846	162	58	120	80	1	1	1	0	0	1	1
18,798	162	54	110	80	2	1	1	0	0	1	0
18,310	161	78	130	80	1	1	1	0	0	1	1
21,944	160	95	140	80	1	1	1	0	0	1	1
18,261	160	58	120	80	1	1	1	0	0	1	1
20,588	147	50	100	70	1	2	1	0	0	1	0
18,343	176	89	120	80	2	1	1	0	0	1	0
21,792	173	74	150	90	2	1	1	0	0	1	1
14,696	165	56	120	80	1	1	1	0	0	0	0
18,865	164	91	150	90	1	1	1	0	0	1	1
15,174	173	79	140	90	2	3	1	0	0	0	1
20,661	168	60	130	80	2	2	1	0	0	0	1
18,222	162	56	120	80	2	1	1	0	0	1	0
23,277	168	87	120	80	2	1	1	0	0	0	1
20,469	169	82	105	80	1	1	1	0	0	1	0
14,729	168	65	120	80	2	1	1	0	0	1	0
16,782	170	92	140	90	2	1	1	1	0	0	0
18,324	174	54	120	80	2	2	2	0	0	1	1
19,011	180	104	120	80	2	2	2	1	0	1	0
15,379	176	92	130	90	2	2	1	0	0	1	1
15,335	165	65	110	70	1	1	1	0	0	1	0
15,992	174	93	140	90	2	1	1	0	0	1	1
20,336	167	60	180	1,100	1	2	1	0	0	1	1
15,977	159	82	140	90	1	3	1	0	0	1	0
22,660	170	70	120	80	1	1	1	0	0	1	1

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