Datasets:
Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Sub-tasks:
tabular-multi-label-classification
Languages:
English
Size:
1M - 10M
License:
Search is not available for this dataset
row_id
int64 | Age
int64 | Sex
int64 | Chest_Pain_Type
int64 | Resting_Blood_Pressure
int64 | Serum_Cholesterol
int64 | Fasting_Blood_Sugar
int64 | Resting_ECG
int64 | Max_Heart_Rate_Achieved
int64 | Exercise_Induced_Angina
int64 | ST_Depression_Exercise
float64 | Peak_Exercise_ST_Segment
int64 | Num_Major_Vessels_Flouro
int64 | Thalassemia
int64 | Diagnosis_Heart_Disease
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1
| 60
| 1
| 4
| 140
| 271
| 0
| 2
| 143
| 1
| 2
| 2
| 3
| 7
| 1
|
2
| 39
| 0
| 3
| 126
| 306
| 0
| 0
| 163
| 0
| 0
| 1
| 0
| 3
| 0
|
3
| 47
| 1
| 4
| 140
| 256
| 0
| 2
| 126
| 1
| 4.2
| 3
| 3
| 7
| 1
|
4
| 48
| 1
| 3
| 138
| 255
| 0
| 2
| 125
| 1
| 1.9
| 1
| 1
| 3
| 0
|
5
| 55
| 1
| 2
| 120
| 197
| 0
| 0
| 158
| 0
| 0.6
| 1
| 0
| 7
| 0
|
6
| 44
| 0
| 3
| 118
| 141
| 0
| 0
| 182
| 0
| 0
| 1
| 1
| 3
| 0
|
7
| 45
| 1
| 2
| 135
| 315
| 0
| 2
| 175
| 0
| 0
| 1
| 0
| 3
| 0
|
8
| 63
| 0
| 3
| 120
| 269
| 0
| 0
| 115
| 0
| 2.6
| 2
| 1
| 3
| 0
|
9
| 44
| 0
| 3
| 126
| 242
| 0
| 0
| 132
| 0
| 0.6
| 1
| 0
| 3
| 0
|
10
| 61
| 0
| 4
| 174
| 288
| 0
| 2
| 114
| 1
| 1.1
| 2
| 0
| 3
| 1
|
11
| 51
| 1
| 3
| 100
| 188
| 0
| 0
| 123
| 0
| 0.8
| 1
| 1
| 7
| 0
|
12
| 54
| 1
| 4
| 140
| 266
| 0
| 2
| 116
| 1
| 2
| 2
| 1
| 7
| 1
|
13
| 51
| 1
| 4
| 130
| 274
| 0
| 0
| 186
| 1
| 0
| 1
| 0
| 3
| 0
|
14
| 60
| 1
| 1
| 120
| 302
| 0
| 0
| 151
| 0
| 0.9
| 2
| 0
| 7
| 1
|
15
| 51
| 1
| 4
| 144
| 200
| 0
| 2
| 186
| 1
| 0
| 1
| 1
| 3
| 1
|
16
| 59
| 0
| 4
| 174
| 327
| 0
| 2
| 145
| 1
| 3.4
| 2
| 2
| 7
| 1
|
17
| 50
| 1
| 3
| 129
| 149
| 0
| 2
| 139
| 0
| 2.6
| 3
| 0
| 3
| 0
|
18
| 58
| 0
| 3
| 130
| 256
| 1
| 2
| 153
| 0
| 0.6
| 3
| 0
| 3
| 0
|
19
| 51
| 1
| 3
| 130
| 188
| 0
| 2
| 123
| 0
| 1.4
| 2
| 1
| 6
| 0
|
20
| 65
| 0
| 1
| 150
| 360
| 1
| 2
| 125
| 0
| 3
| 2
| 0
| 7
| 0
|
21
| 35
| 1
| 4
| 118
| 172
| 0
| 2
| 114
| 0
| 0.1
| 2
| 0
| 6
| 1
|
22
| 64
| 0
| 3
| 140
| 313
| 0
| 0
| 158
| 0
| 0.8
| 1
| 0
| 3
| 0
|
23
| 63
| 0
| 4
| 140
| 241
| 0
| 0
| 165
| 0
| 1.5
| 2
| 0
| 3
| 0
|
24
| 49
| 1
| 2
| 135
| 222
| 0
| 2
| 180
| 0
| 1.2
| 2
| 1
| 3
| 0
|
25
| 45
| 1
| 4
| 112
| 208
| 0
| 0
| 181
| 0
| 0.2
| 3
| 0
| 3
| 0
|
26
| 58
| 1
| 3
| 125
| 258
| 0
| 2
| 167
| 0
| 0
| 1
| 0
| 3
| 0
|
27
| 54
| 1
| 4
| 110
| 260
| 1
| 2
| 116
| 1
| 1.8
| 2
| 2
| 3
| 1
|
28
| 67
| 1
| 1
| 160
| 273
| 0
| 0
| 150
| 0
| 3.8
| 3
| 0
| 7
| 1
|
29
| 47
| 1
| 2
| 130
| 200
| 0
| 2
| 162
| 0
| 0
| 2
| 0
| 3
| 0
|
30
| 52
| 1
| 4
| 142
| 212
| 0
| 2
| 166
| 0
| 1.5
| 1
| 0
| 7
| 1
|
31
| 46
| 1
| 4
| 112
| 233
| 0
| 0
| 177
| 0
| 0
| 1
| 0
| 3
| 0
|
32
| 54
| 0
| 3
| 132
| 252
| 1
| 2
| 161
| 0
| 0.2
| 2
| 2
| 7
| 1
|
33
| 50
| 0
| 4
| 140
| 307
| 0
| 0
| 136
| 1
| 0.2
| 2
| 0
| 3
| 0
|
34
| 58
| 1
| 1
| 160
| 176
| 0
| 0
| 163
| 0
| 1.2
| 1
| 2
| 7
| 0
|
35
| 57
| 1
| 3
| 150
| 168
| 0
| 0
| 165
| 0
| 1.2
| 2
| 1
| 7
| 1
|
36
| 54
| 1
| 4
| 122
| 239
| 0
| 0
| 126
| 1
| 1.6
| 2
| 1
| 3
| 1
|
37
| 61
| 0
| 4
| 174
| 201
| 1
| 0
| 143
| 1
| 2.6
| 2
| 1
| 7
| 1
|
38
| 59
| 1
| 4
| 126
| 230
| 0
| 0
| 132
| 1
| 1.8
| 1
| 1
| 7
| 0
|
39
| 53
| 1
| 2
| 152
| 201
| 0
| 0
| 195
| 0
| 0
| 1
| 0
| 3
| 0
|
40
| 41
| 0
| 4
| 110
| 265
| 0
| 0
| 140
| 1
| 2
| 3
| 0
| 6
| 1
|
41
| 52
| 1
| 4
| 108
| 233
| 1
| 0
| 144
| 1
| 1.8
| 1
| 2
| 3
| 1
|
42
| 67
| 1
| 3
| 160
| 212
| 0
| 2
| 131
| 1
| 2
| 2
| 2
| 7
| 1
|
43
| 34
| 1
| 1
| 118
| 182
| 0
| 0
| 174
| 0
| 1.4
| 2
| 0
| 7
| 0
|
44
| 59
| 1
| 3
| 170
| 212
| 1
| 2
| 171
| 0
| 1.6
| 1
| 0
| 3
| 1
|
45
| 62
| 0
| 2
| 108
| 244
| 0
| 0
| 146
| 0
| 1.4
| 2
| 1
| 3
| 0
|
46
| 53
| 1
| 3
| 108
| 240
| 0
| 0
| 165
| 0
| 0.8
| 2
| 3
| 7
| 1
|
47
| 58
| 1
| 4
| 128
| 216
| 1
| 2
| 148
| 1
| 1
| 2
| 2
| 7
| 1
|
48
| 51
| 1
| 3
| 110
| 227
| 0
| 0
| 179
| 0
| 1.9
| 1
| 3
| 7
| 0
|
49
| 48
| 1
| 3
| 124
| 180
| 0
| 0
| 123
| 0
| 1.8
| 2
| 2
| 3
| 1
|
50
| 48
| 1
| 3
| 130
| 315
| 0
| 0
| 156
| 0
| 0.6
| 1
| 0
| 3
| 0
|
51
| 61
| 1
| 4
| 125
| 177
| 0
| 0
| 125
| 1
| 1.4
| 2
| 1
| 6
| 0
|
52
| 67
| 1
| 4
| 110
| 304
| 0
| 2
| 147
| 0
| 1
| 2
| 2
| 3
| 1
|
53
| 58
| 1
| 4
| 100
| 234
| 0
| 2
| 148
| 0
| 0.3
| 2
| 1
| 6
| 0
|
54
| 68
| 1
| 3
| 140
| 274
| 0
| 0
| 120
| 1
| 1.9
| 2
| 2
| 3
| 0
|
55
| 64
| 0
| 4
| 178
| 226
| 1
| 2
| 145
| 1
| 1.5
| 1
| 3
| 3
| 1
|
56
| 52
| 1
| 4
| 130
| 201
| 1
| 0
| 150
| 1
| 0
| 1
| 2
| 7
| 1
|
57
| 52
| 1
| 2
| 150
| 205
| 0
| 2
| 172
| 0
| 0
| 1
| 1
| 3
| 0
|
58
| 35
| 1
| 4
| 126
| 250
| 0
| 2
| 171
| 0
| 0.2
| 1
| 0
| 3
| 0
|
59
| 53
| 1
| 4
| 128
| 201
| 0
| 2
| 113
| 1
| 2.2
| 2
| 0
| 7
| 1
|
60
| 62
| 1
| 1
| 145
| 233
| 0
| 2
| 125
| 0
| 0
| 1
| 0
| 3
| 0
|
61
| 45
| 1
| 4
| 142
| 226
| 0
| 2
| 126
| 1
| 1.5
| 2
| 2
| 6
| 1
|
62
| 47
| 0
| 4
| 140
| 307
| 0
| 0
| 136
| 1
| 2
| 2
| 0
| 7
| 1
|
63
| 76
| 0
| 3
| 110
| 265
| 1
| 0
| 146
| 0
| 1.2
| 2
| 0
| 3
| 0
|
64
| 58
| 1
| 4
| 146
| 282
| 0
| 2
| 171
| 0
| 1.5
| 2
| 0
| 7
| 1
|
65
| 41
| 0
| 2
| 126
| 213
| 0
| 0
| 179
| 0
| 1.4
| 2
| 0
| 3
| 0
|
66
| 55
| 0
| 4
| 132
| 241
| 0
| 0
| 122
| 1
| 0.2
| 1
| 0
| 3
| 1
|
67
| 55
| 1
| 1
| 178
| 227
| 1
| 2
| 164
| 0
| 1
| 2
| 0
| 7
| 1
|
68
| 58
| 0
| 4
| 130
| 264
| 1
| 2
| 117
| 1
| 0.4
| 2
| 2
| 7
| 0
|
69
| 39
| 0
| 2
| 118
| 268
| 0
| 0
| 149
| 0
| 0
| 2
| 0
| 7
| 1
|
70
| 42
| 1
| 4
| 152
| 309
| 0
| 1
| 125
| 0
| 0
| 2
| 2
| 3
| 1
|
71
| 45
| 0
| 3
| 112
| 204
| 0
| 0
| 175
| 0
| 0
| 1
| 0
| 3
| 0
|
72
| 50
| 1
| 3
| 140
| 243
| 0
| 2
| 158
| 0
| 2.6
| 3
| 0
| 3
| 0
|
73
| 60
| 1
| 4
| 125
| 281
| 0
| 2
| 182
| 0
| 0
| 1
| 0
| 3
| 0
|
74
| 64
| 1
| 4
| 120
| 253
| 0
| 2
| 144
| 0
| 2.1
| 2
| 3
| 7
| 1
|
75
| 51
| 1
| 2
| 140
| 298
| 0
| 2
| 172
| 0
| 1.5
| 1
| 2
| 3
| 1
|
76
| 37
| 0
| 3
| 118
| 215
| 0
| 0
| 192
| 0
| 0
| 1
| 0
| 3
| 0
|
77
| 41
| 0
| 4
| 120
| 341
| 0
| 1
| 147
| 1
| 4.4
| 3
| 0
| 7
| 1
|
78
| 59
| 1
| 1
| 160
| 276
| 1
| 2
| 137
| 0
| 1
| 2
| 2
| 7
| 1
|
79
| 41
| 1
| 4
| 132
| 321
| 0
| 2
| 136
| 1
| 3.4
| 2
| 0
| 7
| 1
|
80
| 37
| 1
| 3
| 130
| 214
| 0
| 2
| 192
| 0
| 0
| 1
| 0
| 3
| 0
|
81
| 58
| 1
| 4
| 128
| 318
| 0
| 2
| 142
| 1
| 3
| 2
| 1
| 3
| 1
|
82
| 54
| 1
| 4
| 110
| 290
| 0
| 2
| 109
| 1
| 3
| 2
| 0
| 3
| 0
|
83
| 59
| 1
| 4
| 164
| 232
| 1
| 2
| 112
| 1
| 0.6
| 1
| 2
| 7
| 1
|
84
| 63
| 1
| 4
| 120
| 263
| 0
| 0
| 71
| 1
| 1.4
| 2
| 1
| 7
| 1
|
85
| 65
| 1
| 3
| 130
| 212
| 0
| 2
| 151
| 0
| 0
| 1
| 0
| 3
| 0
|
86
| 55
| 1
| 1
| 178
| 270
| 0
| 2
| 162
| 1
| 1
| 2
| 0
| 7
| 0
|
87
| 57
| 1
| 4
| 150
| 176
| 0
| 0
| 111
| 1
| 1.5
| 2
| 0
| 6
| 1
|
88
| 64
| 0
| 3
| 160
| 277
| 0
| 0
| 125
| 0
| 2.6
| 2
| 1
| 6
| 1
|
89
| 57
| 1
| 3
| 130
| 258
| 1
| 2
| 142
| 1
| 1
| 2
| 1
| 7
| 1
|
90
| 42
| 1
| 3
| 140
| 226
| 0
| 0
| 162
| 0
| 0
| 1
| 0
| 3
| 0
|
91
| 44
| 1
| 2
| 135
| 219
| 0
| 2
| 180
| 0
| 0
| 1
| 0
| 3
| 0
|
92
| 37
| 1
| 4
| 118
| 192
| 1
| 0
| 130
| 0
| 1
| 2
| 3
| 7
| 1
|
93
| 42
| 1
| 4
| 140
| 309
| 1
| 1
| 125
| 1
| 0.6
| 1
| 2
| 7
| 1
|
94
| 49
| 0
| 3
| 142
| 252
| 0
| 0
| 125
| 0
| 0.6
| 2
| 0
| 3
| 0
|
95
| 58
| 1
| 2
| 140
| 204
| 0
| 2
| 152
| 0
| 3.6
| 1
| 0
| 7
| 0
|
96
| 37
| 1
| 1
| 126
| 199
| 0
| 2
| 202
| 0
| 1.9
| 3
| 0
| 3
| 0
|
97
| 44
| 1
| 4
| 138
| 315
| 0
| 0
| 120
| 1
| 5.6
| 3
| 0
| 7
| 1
|
98
| 52
| 0
| 2
| 108
| 295
| 1
| 1
| 190
| 0
| 0.6
| 3
| 1
| 3
| 1
|
99
| 70
| 1
| 3
| 160
| 309
| 0
| 2
| 172
| 0
| 0
| 1
| 0
| 3
| 1
|
100
| 54
| 1
| 3
| 150
| 168
| 0
| 0
| 162
| 0
| 0.5
| 1
| 0
| 7
| 0
|
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Название датасета
Краткое описание датасета для предсказания сердечных заболеваний
Описание
Этот датасет содержит клинические параметры пациентов для диагностики сердечных заболеваний. Всего в наборе данных представлено 14 медицинских признаков и целевая переменная (диагноз).
Структура данных
Данные представлены в формате CSV со следующими столбцами:
- Unnamed: 0 (int64) - технический индекс строки
- Age (int64) - возраст пациента в годах
- Sex (int64) - пол пациента (0: женский, 1: мужской)
- Chest_Pain_Type (int64) - тип боли в груди (1-4)
- Resting_Blood_Pressure (int64) - артериальное давление в покое (мм рт.ст.)
- Serum_Cholesterol (int64) - уровень холестерина (мг/дл)
- Fasting_Blood_Sugar (int64) - сахар натощак (0/1)
- Resting_ECG (int64) - результаты ЭКГ в покое (0-2)
- Max_Heart_Rate_Achieved (int64) - максимальный пульс
- Exercise_Induced_Angina (int64) - стенокардия при нагрузке (0/1)
- ST_Depression_Exercise (float64) - депрессия ST-сегмента
- Peak_Exercise_ST_Segment (int64) - пиковый ST-сегмент (1-3)
- Num_Major_Vessels_Flouro (int64) - число крупных сосудов (0-3)
- Thalassemia (int64) - тип талассемии (3,6,7)
- Diagnosis_Heart_Disease (int64) - диагноз (0: здоров, 1: заболевание)
Пример записи
Unnamed: 0,Age,Sex,Chest_Pain_Type,Resting_Blood_Pressure,Serum_Cholesterol,Fasting_Blood_Sugar,Resting_ECG,Max_Heart_Rate_Achieved,Exercise_Induced_Angina,ST_Depression_Exercise,Peak_Exercise_ST_Segment,Num_Major_Vessels_Flouro,Thalassemia,Diagnosis_Heart_Disease
1,60,1,4,140,271,0,2,143,1,2.0,2,3,7,1
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