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Heart-Disease-Dataset-_Comprehensive

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Tabular Regression

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train · 833 rows

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row_idx int64	f_0 float64	f_1 float64	f_2 float64	f_3 float64	f_4 float64	f_5 float64	f_6 float64	f_7 float64	f_8 float64	f_9 float64	f_10 float64	target uint8
0	50	1	4	133	218	0	0	128	1	1.1	2	1
1	37	1	4	120	223	0	0	168	0	0	1	0
4	39	0	3	94	199	0	0	179	0	0	1	0
5	48	1	2	130	245	0	2	180	0	0.2	2	0
7	41	1	4	120	336	0	0	118	1	3	2	1
8	42	1	1	148	244	0	2	178	0	0.8	1	0
9	42	1	4	105	0	1	0	128	1	-1.5	3	1
11	66	1	2	160	246	0	0	120	1	0	2	1
13	67	0	3	115	564	0	2	160	0	1.6	2	0
14	46	1	4	110	236	0	0	125	1	2	2	1
15	51	1	1	125	213	0	2	125	1	1.4	1	0
16	59	1	1	170	288	0	2	159	0	0.2	2	1
17	60	1	4	125	0	1	0	110	0	0.1	1	1
18	51	1	4	132	218	1	2	139	0	0.1	1	0
19	65	1	4	115	0	0	0	93	1	0	2	1
20	41	1	4	104	0	0	1	111	0	0	1	0
21	51	1	4	140	261	0	2	186	1	0	1	0
22	67	1	4	160	384	1	1	130	1	0	2	1
24	69	1	4	130	0	1	1	129	0	1	2	1
26	60	1	4	160	0	1	0	149	0	0.4	2	1
28	58	1	3	140	211	1	2	165	0	0	1	0
29	42	1	4	145	0	0	0	99	1	0	2	1
32	41	1	3	130	214	0	2	168	0	2	2	0
33	62	1	4	150	0	1	1	78	0	2	2	1
34	37	1	2	130	283	0	1	98	0	0	1	0
35	46	1	4	120	249	0	2	144	0	0.8	1	1
36	50	1	4	144	200	0	2	126	1	0.9	2	1
37	62	1	2	128	208	1	2	140	0	0	1	0
38	40	1	4	110	167	0	2	114	1	2	2	1
40	39	1	2	120	200	0	0	160	1	1	2	0
41	40	1	3	106	240	0	0	80	1	0	1	0
42	52	1	4	120	182	0	0	150	0	0	2	1
45	48	0	4	150	227	0	0	130	1	1	2	0
46	53	1	3	120	195	0	0	140	0	0	1	0
48	56	1	4	150	230	0	1	124	1	1.5	2	1
50	63	1	4	185	0	0	0	98	1	0	1	1
52	58	1	4	114	318	0	1	140	0	4.4	3	1
53	51	0	4	130	305	0	0	142	1	1.2	2	1
57	63	1	1	145	233	1	2	150	0	2.3	3	0
60	52	1	4	135	0	1	0	128	1	2	2	1
61	55	1	2	140	0	0	1	150	0	0.2	1	0
62	53	1	4	130	0	0	2	135	1	1	2	1
64	47	1	4	160	291	0	1	158	1	3	2	1
65	69	1	1	160	234	1	2	131	0	0.1	2	0
68	56	1	4	130	0	0	2	122	1	1	2	1
69	59	1	1	134	204	0	0	162	0	0.8	1	1
71	54	1	4	110	206	0	2	108	1	0	2	1
73	52	1	4	130	225	0	0	120	1	2	2	1
74	53	1	4	144	300	1	1	128	1	1.5	2	1
75	55	1	4	132	353	0	0	132	1	1.2	2	1
77	62	0	4	140	268	0	2	160	0	3.6	3	1
79	59	0	2	130	188	0	0	124	0	1	2	0
80	64	1	3	125	309	0	0	131	1	1.8	2	1
82	47	1	4	110	0	1	1	149	0	2.1	1	1
84	67	1	4	160	286	0	2	108	1	1.5	2	1
85	49	1	4	130	206	0	0	170	0	0	2	1
87	54	1	4	130	242	0	0	91	1	1	2	1
89	46	1	3	150	231	0	0	147	0	3.6	2	1
90	44	1	2	120	263	0	0	173	0	0	1	0
91	51	1	4	140	298	0	0	122	1	4.2	2	1
92	37	0	4	130	173	0	1	184	0	0	1	0
93	70	1	4	130	322	0	2	109	0	2.4	2	1
94	41	1	4	130	172	0	1	130	0	2	2	1
95	57	1	4	130	131	0	0	115	1	1.2	2	1
97	54	0	2	140	309	0	1	140	0	0	1	0
98	59	1	4	140	0	0	1	117	1	1	2	1
99	74	1	4	150	258	1	1	130	1	4	3	1
102	36	1	3	150	160	0	0	172	0	0	1	0
103	59	1	4	154	0	0	1	131	1	1.5	1	0
104	59	1	1	170	288	0	2	159	0	0.2	2	1
105	58	0	4	100	248	0	2	122	0	1	2	0
108	59	1	4	110	239	0	2	142	1	1.2	2	1
110	61	1	4	148	203	0	0	161	0	0	1	1
111	58	1	3	137	232	0	1	124	1	1.4	2	1
112	63	0	4	108	269	0	0	169	1	1.8	2	1
114	52	0	3	136	196	0	2	169	0	0.1	2	0
115	41	0	2	105	198	0	0	168	0	0	1	0
116	44	1	3	120	226	0	0	169	0	0	1	0
117	54	0	4	138	274	0	0	105	1	1.5	2	1
118	44	1	4	150	412	0	0	170	0	0	1	0
119	53	0	2	140	216	0	0	142	1	2	2	0
121	47	1	4	150	226	0	0	98	1	1.5	2	1
122	50	0	4	160	0	1	0	110	0	0	2	1
123	52	0	2	140	225	0	0	140	0	0	1	0
124	60	1	3	120	246	0	2	135	0	0	1	0
125	35	1	4	120	0	1	0	130	1	1.2	2	1
126	62	1	4	120	267	0	0	99	1	1.8	2	1
127	44	1	2	120	220	0	0	170	0	0	1	0
130	59	1	1	178	270	0	2	145	0	4.2	3	0
131	40	1	4	110	167	0	2	114	1	2	2	1
132	53	0	3	128	216	0	2	115	0	0	1	0
133	61	1	4	138	166	0	2	125	1	3.6	2	1
134	59	1	4	164	176	1	2	90	0	1	2	1
137	63	0	2	140	195	0	0	179	0	0	1	0
142	52	0	2	120	210	0	0	148	0	0	1	0
143	42	0	3	120	209	0	0	173	0	0	2	0
144	45	1	3	110	0	0	0	138	0	-0.1	1	0
145	57	1	4	110	335	0	0	143	1	3	2	1
146	62	1	4	135	297	0	0	130	1	1	2	1
147	53	1	4	140	203	1	2	155	1	3.1	3	1

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