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train · 1.03k rows

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age int64 29 77	sex int64 0 1	cp int64 0 3	trestbps int64 94 200	chol int64 126 564	fbs int64 0 1	restecg int64 0 2	thalach int64 71 202	exang int64 0 1	oldpeak float64 0 6.2	slope int64 0 2	ca int64 0 4	thal int64 0 3	target int64 0 1
52	1	0	125	212	0	1	168	0	1	2	2	3	0
53	1	0	140	203	1	0	155	1	3.1	0	0	3	0
70	1	0	145	174	0	1	125	1	2.6	0	0	3	0
61	1	0	148	203	0	1	161	0	0	2	1	3	0
62	0	0	138	294	1	1	106	0	1.9	1	3	2	0
58	0	0	100	248	0	0	122	0	1	1	0	2	1
58	1	0	114	318	0	2	140	0	4.4	0	3	1	0
55	1	0	160	289	0	0	145	1	0.8	1	1	3	0
46	1	0	120	249	0	0	144	0	0.8	2	0	3	0
54	1	0	122	286	0	0	116	1	3.2	1	2	2	0
71	0	0	112	149	0	1	125	0	1.6	1	0	2	1
43	0	0	132	341	1	0	136	1	3	1	0	3	0
34	0	1	118	210	0	1	192	0	0.7	2	0	2	1
51	1	0	140	298	0	1	122	1	4.2	1	3	3	0
52	1	0	128	204	1	1	156	1	1	1	0	0	0
34	0	1	118	210	0	1	192	0	0.7	2	0	2	1
51	0	2	140	308	0	0	142	0	1.5	2	1	2	1
54	1	0	124	266	0	0	109	1	2.2	1	1	3	0
50	0	1	120	244	0	1	162	0	1.1	2	0	2	1
58	1	2	140	211	1	0	165	0	0	2	0	2	1
60	1	2	140	185	0	0	155	0	3	1	0	2	0
67	0	0	106	223	0	1	142	0	0.3	2	2	2	1
45	1	0	104	208	0	0	148	1	3	1	0	2	1
63	0	2	135	252	0	0	172	0	0	2	0	2	1
42	0	2	120	209	0	1	173	0	0	1	0	2	1
61	0	0	145	307	0	0	146	1	1	1	0	3	0
44	1	2	130	233	0	1	179	1	0.4	2	0	2	1
58	0	1	136	319	1	0	152	0	0	2	2	2	0
56	1	2	130	256	1	0	142	1	0.6	1	1	1	0
55	0	0	180	327	0	2	117	1	3.4	1	0	2	0
44	1	0	120	169	0	1	144	1	2.8	0	0	1	0
50	0	1	120	244	0	1	162	0	1.1	2	0	2	1
57	1	0	130	131	0	1	115	1	1.2	1	1	3	0
70	1	2	160	269	0	1	112	1	2.9	1	1	3	0
50	1	2	129	196	0	1	163	0	0	2	0	2	1
46	1	2	150	231	0	1	147	0	3.6	1	0	2	0
51	1	3	125	213	0	0	125	1	1.4	2	1	2	1
59	1	0	138	271	0	0	182	0	0	2	0	2	1
64	1	0	128	263	0	1	105	1	0.2	1	1	3	1
57	1	2	128	229	0	0	150	0	0.4	1	1	3	0
65	0	2	160	360	0	0	151	0	0.8	2	0	2	1
54	1	2	120	258	0	0	147	0	0.4	1	0	3	1
61	0	0	130	330	0	0	169	0	0	2	0	2	0
46	1	0	120	249	0	0	144	0	0.8	2	0	3	0
55	0	1	132	342	0	1	166	0	1.2	2	0	2	1
42	1	0	140	226	0	1	178	0	0	2	0	2	1
41	1	1	135	203	0	1	132	0	0	1	0	1	1
66	0	0	178	228	1	1	165	1	1	1	2	3	0
66	0	2	146	278	0	0	152	0	0	1	1	2	1
60	1	0	117	230	1	1	160	1	1.4	2	2	3	0
58	0	3	150	283	1	0	162	0	1	2	0	2	1
57	0	0	140	241	0	1	123	1	0.2	1	0	3	0
38	1	2	138	175	0	1	173	0	0	2	4	2	1
49	1	2	120	188	0	1	139	0	2	1	3	3	0
55	1	0	140	217	0	1	111	1	5.6	0	0	3	0
55	1	0	140	217	0	1	111	1	5.6	0	0	3	0
56	1	3	120	193	0	0	162	0	1.9	1	0	3	1
48	1	1	130	245	0	0	180	0	0.2	1	0	2	1
67	1	2	152	212	0	0	150	0	0.8	1	0	3	0
57	1	1	154	232	0	0	164	0	0	2	1	2	0
29	1	1	130	204	0	0	202	0	0	2	0	2	1
66	0	2	146	278	0	0	152	0	0	1	1	2	1
67	1	0	100	299	0	0	125	1	0.9	1	2	2	0
59	1	2	150	212	1	1	157	0	1.6	2	0	2	1
29	1	1	130	204	0	0	202	0	0	2	0	2	1
59	1	3	170	288	0	0	159	0	0.2	1	0	3	0
53	1	2	130	197	1	0	152	0	1.2	0	0	2	1
42	1	0	136	315	0	1	125	1	1.8	1	0	1	0
37	0	2	120	215	0	1	170	0	0	2	0	2	1
62	0	0	160	164	0	0	145	0	6.2	0	3	3	0
59	1	0	170	326	0	0	140	1	3.4	0	0	3	0
61	1	0	140	207	0	0	138	1	1.9	2	1	3	0
56	1	0	125	249	1	0	144	1	1.2	1	1	2	0
59	1	0	140	177	0	1	162	1	0	2	1	3	0
48	1	0	130	256	1	0	150	1	0	2	2	3	0
47	1	2	138	257	0	0	156	0	0	2	0	2	1
48	1	2	124	255	1	1	175	0	0	2	2	2	1
63	1	0	140	187	0	0	144	1	4	2	2	3	0
52	1	1	134	201	0	1	158	0	0.8	2	1	2	1
52	1	1	134	201	0	1	158	0	0.8	2	1	2	1
50	1	2	140	233	0	1	163	0	0.6	1	1	3	0
49	1	2	118	149	0	0	126	0	0.8	2	3	2	0
46	1	2	150	231	0	1	147	0	3.6	1	0	2	0
38	1	2	138	175	0	1	173	0	0	2	4	2	1
37	0	2	120	215	0	1	170	0	0	2	0	2	1
44	1	1	120	220	0	1	170	0	0	2	0	2	1
58	1	2	140	211	1	0	165	0	0	2	0	2	1
59	0	0	174	249	0	1	143	1	0	1	0	2	0
62	0	0	140	268	0	0	160	0	3.6	0	2	2	0
68	1	0	144	193	1	1	141	0	3.4	1	2	3	0
54	0	2	108	267	0	0	167	0	0	2	0	2	1
62	0	0	124	209	0	1	163	0	0	2	0	2	1
63	1	0	140	187	0	0	144	1	4	2	2	3	0
44	1	0	120	169	0	1	144	1	2.8	0	0	1	0
62	1	1	128	208	1	0	140	0	0	2	0	2	1
45	0	0	138	236	0	0	152	1	0.2	1	0	2	1
57	0	0	128	303	0	0	159	0	0	2	1	2	1
53	1	0	123	282	0	1	95	1	2	1	2	3	0
65	1	0	110	248	0	0	158	0	0.6	2	2	1	0
76	0	2	140	197	0	2	116	0	1.1	1	0	2	1

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