Datasets:

mstz
/

heart_failure

age int64	has_anaemia bool	creatinine_phosphokinase_concentration_in_blood float64	has_diabetes bool	heart_ejection_fraction float64	has_high_blood_pressure bool	platelets_concentration_in_blood float64	serum_creatinine_concentration_in_blood float64	serum_sodium_concentration_in_blood float64	is_male bool	is_smoker bool	days_in_study int64	is_dead int64
75	false	582	false	20	true	265,000	1.9	130	true	false	4	1
55	false	7,861	false	38	false	263,358.03	1.1	136	true	false	6	1
65	false	146	false	20	false	162,000	1.3	129	true	true	7	1
50	true	111	false	20	false	210,000	1.9	137	true	false	7	1
65	true	160	true	20	false	327,000	2.7	116	false	false	8	1
90	true	47	false	40	true	204,000	2.1	132	true	true	8	1
75	true	246	false	15	false	127,000	1.2	137	true	false	10	1
60	true	315	true	60	false	454,000	1.1	131	true	true	10	1
65	false	157	false	65	false	263,358.03	1.5	138	false	false	10	1
80	true	123	false	35	true	388,000	9.4	133	true	true	10	1
75	true	81	false	38	true	368,000	4	131	true	true	10	1
62	false	231	false	25	true	253,000	0.9	140	true	true	10	1
45	true	981	false	30	false	136,000	1.1	137	true	false	11	1
50	true	168	false	38	true	276,000	1.1	137	true	false	11	1
49	true	80	false	30	true	427,000	1	138	false	false	12	0
82	true	379	false	50	false	47,000	1.3	136	true	false	13	1
87	true	149	false	38	false	262,000	0.9	140	true	false	14	1
45	false	582	false	14	false	166,000	0.8	127	true	false	14	1
70	true	125	false	25	true	237,000	1	140	false	false	15	1
48	true	582	true	55	false	87,000	1.9	121	false	false	15	1
65	true	52	false	25	true	276,000	1.3	137	false	false	16	0
65	true	128	true	30	true	297,000	1.6	136	false	false	20	1
68	true	220	false	35	true	289,000	0.9	140	true	true	20	1
53	false	63	true	60	false	368,000	0.8	135	true	false	22	0
75	false	582	true	30	true	263,358.03	1.83	134	false	false	23	1
80	false	148	true	38	false	149,000	1.9	144	true	true	23	1
95	true	112	false	40	true	196,000	1	138	false	false	24	1
70	false	122	true	45	true	284,000	1.3	136	true	true	26	1
58	true	60	false	38	false	153,000	5.8	134	true	false	26	1
82	false	70	true	30	false	200,000	1.2	132	true	true	26	1
94	false	582	true	38	true	263,358.03	1.83	134	true	false	27	1
85	false	23	false	45	false	360,000	3	132	true	false	28	1
50	true	249	true	35	true	319,000	1	128	false	false	28	1
50	true	159	true	30	false	302,000	1.2	138	false	false	29	0
65	false	94	true	50	true	188,000	1	140	true	false	29	1
69	false	582	true	35	false	228,000	3.5	134	true	false	30	1
90	true	60	true	50	false	226,000	1	134	true	false	30	1
82	true	855	true	50	true	321,000	1	145	false	false	30	1
60	false	2,656	true	30	false	305,000	2.3	137	true	false	30	0
60	false	235	true	38	false	329,000	3	142	false	false	30	1
70	false	582	false	20	true	263,358.03	1.83	134	true	true	31	1
50	false	124	true	30	true	153,000	1.2	136	false	true	32	1
70	false	571	true	45	true	185,000	1.2	139	true	true	33	1
72	false	127	true	50	true	218,000	1	134	true	false	33	0
60	true	588	true	60	false	194,000	1.1	142	false	false	33	1
50	false	582	true	38	false	310,000	1.9	135	true	true	35	1
51	false	1,380	false	25	true	271,000	0.9	130	true	false	38	1
60	false	582	true	38	true	451,000	0.6	138	true	true	40	1
80	true	553	false	20	true	140,000	4.4	133	true	false	41	1
57	true	129	false	30	false	395,000	1	140	false	false	42	1
68	true	577	false	25	true	166,000	1	138	true	false	43	1
53	true	91	false	20	true	418,000	1.4	139	false	false	43	1
60	false	3,964	true	62	false	263,358.03	6.8	146	false	false	43	1
70	true	69	true	50	true	351,000	1	134	false	false	44	1
60	true	260	true	38	false	255,000	2.2	132	false	true	45	1
95	true	371	false	30	false	461,000	2	132	true	false	50	1
70	true	75	false	35	false	223,000	2.7	138	true	true	54	0
60	true	607	false	40	false	216,000	0.6	138	true	true	54	0
49	false	789	false	20	true	319,000	1.1	136	true	true	55	1
72	false	364	true	20	true	254,000	1.3	136	true	true	59	1
45	false	7,702	true	25	true	390,000	1	139	true	false	60	1
50	false	318	false	40	true	216,000	2.3	131	false	false	60	1
55	false	109	false	35	false	254,000	1.1	139	true	true	60	0
45	false	582	false	35	false	385,000	1	145	true	false	61	1
45	false	582	false	80	false	263,358.03	1.18	137	false	false	63	0
60	false	68	false	20	false	119,000	2.9	127	true	true	64	1
42	true	250	true	15	false	213,000	1.3	136	false	false	65	1
72	true	110	false	25	false	274,000	1	140	true	true	65	1
70	false	161	false	25	false	244,000	1.2	142	false	false	66	1
65	false	113	true	25	false	497,000	1.83	135	true	false	67	1
41	false	148	false	40	false	374,000	0.8	140	true	true	68	0
58	false	582	true	35	false	122,000	0.9	139	true	true	71	0
85	false	5,882	false	35	false	243,000	1	132	true	true	72	1
65	false	224	true	50	false	149,000	1.3	137	true	true	72	0
69	false	582	false	20	false	266,000	1.2	134	true	true	73	1
60	true	47	false	20	false	204,000	0.7	139	true	true	73	1
70	false	92	false	60	true	317,000	0.8	140	false	true	74	0
42	false	102	true	40	false	237,000	1.2	140	true	false	74	0
75	true	203	true	38	true	283,000	0.6	131	true	true	74	0
55	false	336	false	45	true	324,000	0.9	140	false	false	74	0
70	false	69	false	40	false	293,000	1.7	136	false	false	75	0
67	false	582	false	50	false	263,358.03	1.18	137	true	true	76	0
60	true	76	true	25	false	196,000	2.5	132	false	false	77	1
79	true	55	false	50	true	172,000	1.8	133	true	false	78	0
59	true	280	true	25	true	302,000	1	141	false	false	78	1
51	false	78	false	50	false	406,000	0.7	140	true	false	79	0
55	false	47	false	35	true	173,000	1.1	137	true	false	79	0
65	true	68	true	60	true	304,000	0.8	140	true	false	79	0
44	false	84	true	40	true	235,000	0.7	139	true	false	79	0
57	true	115	false	25	true	181,000	1.1	144	true	false	79	0
70	false	66	true	45	false	249,000	0.8	136	true	true	80	0
60	false	897	true	45	false	297,000	1	133	true	false	80	0
42	false	582	false	60	false	263,358.03	1.18	137	false	false	82	0
60	true	154	false	25	false	210,000	1.7	135	true	false	82	1
58	false	144	true	38	true	327,000	0.7	142	false	false	83	0
58	true	133	false	60	true	219,000	1	141	true	false	83	0
63	true	514	true	25	true	254,000	1.3	134	true	false	83	0
70	true	59	false	60	false	255,000	1.1	136	false	false	85	0
60	true	156	true	25	true	318,000	1.2	137	false	false	85	0
63	true	61	true	40	false	221,000	1.1	140	false	false	86	0

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Heart failure

The Heart failure dataset from Kaggle. Predict patient death from earth failure given some personal medical data .

Configurations and tasks

Configuration	Task	Description
death	Binary classification	Did the patient die?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/heart_failure", "death")["train"]

Features

Feature	Type
`age`	`int8`
`has_anaemia`	`int8`
`creatinine_phosphokinase_concentration_in_blood`	`float64`
`has_diabetes`	`int8`
`heart_ejection_fraction`	`float64`
`has_high_blood_pressure`	`int8`
`platelets_concentration_in_blood`	`float64`
`serum_creatinine_concentration_in_blood`	`float64`
`serum_sodium_concentration_in_blood`	`float64`
`sex`	`int8`
`is_smoker`	`int8`
`days_in_study`	`int64`

Downloads last month: 197

Size of downloaded dataset files:

20.1 kB

Size of the auto-converted Parquet files:

12.3 kB

Number of rows:

299