Datasets:
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age
int64 | is_male
bool | total_bilirubin
float64 | direct_ribilubin
float64 | alkaline_phosphotase
int64 | alamine_aminotransferasi
int64 | aspartate_aminotransferase
int64 | total_proteins
float64 | albumin
float64 | albumin_to_globulin_ratio
float64 | class
class label |
|---|---|---|---|---|---|---|---|---|---|---|
65
| false
| 0.7
| 0.1
| 187
| 16
| 18
| 6.8
| 3.3
| 0.9
| 0no
|
62
| true
| 10.9
| 5.5
| 699
| 64
| 100
| 7.5
| 3.2
| 0.74
| 0no
|
62
| true
| 7.3
| 4.1
| 490
| 60
| 68
| 7
| 3.3
| 0.89
| 0no
|
58
| true
| 1
| 0.4
| 182
| 14
| 20
| 6.8
| 3.4
| 1
| 0no
|
72
| true
| 3.9
| 2
| 195
| 27
| 59
| 7.3
| 2.4
| 0.4
| 0no
|
46
| true
| 1.8
| 0.7
| 208
| 19
| 14
| 7.6
| 4.4
| 1.3
| 0no
|
26
| false
| 0.9
| 0.2
| 154
| 16
| 12
| 7
| 3.5
| 1
| 0no
|
29
| false
| 0.9
| 0.3
| 202
| 14
| 11
| 6.7
| 3.6
| 1.1
| 0no
|
17
| true
| 0.9
| 0.3
| 202
| 22
| 19
| 7.4
| 4.1
| 1.2
| 1yes
|
55
| true
| 0.7
| 0.2
| 290
| 53
| 58
| 6.8
| 3.4
| 1
| 0no
|
57
| true
| 0.6
| 0.1
| 210
| 51
| 59
| 5.9
| 2.7
| 0.8
| 0no
|
72
| true
| 2.7
| 1.3
| 260
| 31
| 56
| 7.4
| 3
| 0.6
| 0no
|
64
| true
| 0.9
| 0.3
| 310
| 61
| 58
| 7
| 3.4
| 0.9
| 1yes
|
74
| false
| 1.1
| 0.4
| 214
| 22
| 30
| 8.1
| 4.1
| 1
| 0no
|
61
| true
| 0.7
| 0.2
| 145
| 53
| 41
| 5.8
| 2.7
| 0.87
| 0no
|
25
| true
| 0.6
| 0.1
| 183
| 91
| 53
| 5.5
| 2.3
| 0.7
| 1yes
|
38
| true
| 1.8
| 0.8
| 342
| 168
| 441
| 7.6
| 4.4
| 1.3
| 0no
|
33
| true
| 1.6
| 0.5
| 165
| 15
| 23
| 7.3
| 3.5
| 0.92
| 1yes
|
40
| false
| 0.9
| 0.3
| 293
| 232
| 245
| 6.8
| 3.1
| 0.8
| 0no
|
40
| false
| 0.9
| 0.3
| 293
| 232
| 245
| 6.8
| 3.1
| 0.8
| 0no
|
51
| true
| 2.2
| 1
| 610
| 17
| 28
| 7.3
| 2.6
| 0.55
| 0no
|
51
| true
| 2.9
| 1.3
| 482
| 22
| 34
| 7
| 2.4
| 0.5
| 0no
|
62
| true
| 6.8
| 3
| 542
| 116
| 66
| 6.4
| 3.1
| 0.9
| 0no
|
40
| true
| 1.9
| 1
| 231
| 16
| 55
| 4.3
| 1.6
| 0.6
| 0no
|
63
| true
| 0.9
| 0.2
| 194
| 52
| 45
| 6
| 3.9
| 1.85
| 1yes
|
34
| true
| 4.1
| 2
| 289
| 875
| 731
| 5
| 2.7
| 1.1
| 0no
|
34
| true
| 4.1
| 2
| 289
| 875
| 731
| 5
| 2.7
| 1.1
| 0no
|
34
| true
| 6.2
| 3
| 240
| 1,680
| 850
| 7.2
| 4
| 1.2
| 0no
|
20
| true
| 1.1
| 0.5
| 128
| 20
| 30
| 3.9
| 1.9
| 0.95
| 1yes
|
84
| false
| 0.7
| 0.2
| 188
| 13
| 21
| 6
| 3.2
| 1.1
| 1yes
|
57
| true
| 4
| 1.9
| 190
| 45
| 111
| 5.2
| 1.5
| 0.4
| 0no
|
52
| true
| 0.9
| 0.2
| 156
| 35
| 44
| 4.9
| 2.9
| 1.4
| 0no
|
57
| true
| 1
| 0.3
| 187
| 19
| 23
| 5.2
| 2.9
| 1.2
| 1yes
|
38
| false
| 2.6
| 1.2
| 410
| 59
| 57
| 5.6
| 3
| 0.8
| 1yes
|
38
| false
| 2.6
| 1.2
| 410
| 59
| 57
| 5.6
| 3
| 0.8
| 1yes
|
30
| true
| 1.3
| 0.4
| 482
| 102
| 80
| 6.9
| 3.3
| 0.9
| 0no
|
17
| false
| 0.7
| 0.2
| 145
| 18
| 36
| 7.2
| 3.9
| 1.18
| 1yes
|
46
| false
| 14.2
| 7.8
| 374
| 38
| 77
| 4.3
| 2
| 0.8
| 0no
|
48
| true
| 1.4
| 0.6
| 263
| 38
| 66
| 5.8
| 2.2
| 0.61
| 0no
|
47
| true
| 2.7
| 1.3
| 275
| 123
| 73
| 6.2
| 3.3
| 1.1
| 0no
|
45
| true
| 2.4
| 1.1
| 168
| 33
| 50
| 5.1
| 2.6
| 1
| 0no
|
62
| true
| 0.6
| 0.1
| 160
| 42
| 110
| 4.9
| 2.6
| 1.1
| 1yes
|
42
| true
| 6.8
| 3.2
| 630
| 25
| 47
| 6.1
| 2.3
| 0.6
| 1yes
|
50
| true
| 2.6
| 1.2
| 415
| 407
| 576
| 6.4
| 3.2
| 1
| 0no
|
85
| false
| 1
| 0.3
| 208
| 17
| 15
| 7
| 3.6
| 1
| 1yes
|
35
| true
| 1.8
| 0.6
| 275
| 48
| 178
| 6.5
| 3.2
| 0.9
| 1yes
|
21
| true
| 3.9
| 1.8
| 150
| 36
| 27
| 6.8
| 3.9
| 1.34
| 0no
|
40
| true
| 1.1
| 0.3
| 230
| 1,630
| 960
| 4.9
| 2.8
| 1.3
| 0no
|
32
| false
| 0.6
| 0.1
| 176
| 39
| 28
| 6
| 3
| 1
| 0no
|
55
| true
| 18.4
| 8.8
| 206
| 64
| 178
| 6.2
| 1.8
| 0.4
| 0no
|
45
| false
| 0.7
| 0.2
| 170
| 21
| 14
| 5.7
| 2.5
| 0.7
| 0no
|
34
| false
| 0.6
| 0.1
| 161
| 15
| 19
| 6.6
| 3.4
| 1
| 0no
|
38
| true
| 3.1
| 1.6
| 253
| 80
| 406
| 6.8
| 3.9
| 1.3
| 0no
|
38
| true
| 1.1
| 0.3
| 198
| 86
| 150
| 6.3
| 3.5
| 1.2
| 0no
|
42
| true
| 8.9
| 4.5
| 272
| 31
| 61
| 5.8
| 2
| 0.5
| 0no
|
42
| true
| 8.9
| 4.5
| 272
| 31
| 61
| 5.8
| 2
| 0.5
| 0no
|
33
| true
| 0.8
| 0.2
| 198
| 26
| 23
| 8
| 4
| 1
| 1yes
|
48
| false
| 0.9
| 0.2
| 175
| 24
| 54
| 5.5
| 2.7
| 0.9
| 1yes
|
51
| true
| 0.8
| 0.2
| 367
| 42
| 18
| 5.2
| 2
| 0.6
| 0no
|
64
| true
| 1.1
| 0.5
| 145
| 20
| 24
| 5.5
| 3.2
| 1.39
| 1yes
|
31
| false
| 0.8
| 0.2
| 158
| 21
| 16
| 6
| 3
| 1
| 0no
|
58
| true
| 1
| 0.5
| 158
| 37
| 43
| 7.2
| 3.6
| 1
| 0no
|
58
| true
| 1
| 0.5
| 158
| 37
| 43
| 7.2
| 3.6
| 1
| 0no
|
57
| true
| 0.7
| 0.2
| 208
| 35
| 97
| 5.1
| 2.1
| 0.7
| 0no
|
57
| true
| 1.3
| 0.4
| 259
| 40
| 86
| 6.5
| 2.5
| 0.6
| 0no
|
57
| true
| 1.4
| 0.7
| 470
| 62
| 88
| 5.6
| 2.5
| 0.8
| 0no
|
54
| true
| 2.2
| 1.2
| 195
| 55
| 95
| 6
| 3.7
| 1.6
| 0no
|
37
| true
| 1.8
| 0.8
| 215
| 53
| 58
| 6.4
| 3.8
| 1.4
| 0no
|
66
| true
| 0.7
| 0.2
| 239
| 27
| 26
| 6.3
| 3.7
| 1.4
| 0no
|
60
| true
| 0.8
| 0.2
| 215
| 24
| 17
| 6.3
| 3
| 0.9
| 1yes
|
19
| false
| 0.7
| 0.2
| 186
| 166
| 397
| 5.5
| 3
| 1.2
| 0no
|
75
| false
| 0.8
| 0.2
| 188
| 20
| 29
| 4.4
| 1.8
| 0.6
| 0no
|
75
| false
| 0.8
| 0.2
| 205
| 27
| 24
| 4.4
| 2
| 0.8
| 0no
|
52
| true
| 0.6
| 0.1
| 171
| 22
| 16
| 6.6
| 3.6
| 1.2
| 0no
|
68
| true
| 0.7
| 0.1
| 145
| 20
| 22
| 5.8
| 2.9
| 1
| 0no
|
29
| false
| 0.7
| 0.1
| 162
| 52
| 41
| 5.2
| 2.5
| 0.9
| 1yes
|
31
| true
| 0.9
| 0.2
| 518
| 189
| 17
| 5.3
| 2.3
| 0.7
| 0no
|
68
| false
| 0.6
| 0.1
| 1,620
| 95
| 127
| 4.6
| 2.1
| 0.8
| 0no
|
70
| true
| 1.4
| 0.6
| 146
| 12
| 24
| 6.2
| 3.8
| 1.58
| 1yes
|
58
| false
| 2.8
| 1.3
| 670
| 48
| 79
| 4.7
| 1.6
| 0.5
| 0no
|
58
| false
| 2.4
| 1.1
| 915
| 60
| 142
| 4.7
| 1.8
| 0.6
| 0no
|
29
| true
| 1
| 0.3
| 75
| 25
| 26
| 5.1
| 2.9
| 1.3
| 0no
|
49
| true
| 0.7
| 0.1
| 148
| 14
| 12
| 5.4
| 2.8
| 1
| 1yes
|
33
| true
| 2
| 1
| 258
| 194
| 152
| 5.4
| 3
| 1.25
| 0no
|
32
| true
| 0.6
| 0.1
| 237
| 45
| 31
| 7.5
| 4.3
| 1.34
| 0no
|
14
| true
| 1.4
| 0.5
| 269
| 58
| 45
| 6.7
| 3.9
| 1.4
| 0no
|
13
| true
| 0.6
| 0.1
| 320
| 28
| 56
| 7.2
| 3.6
| 1
| 1yes
|
58
| true
| 0.8
| 0.2
| 298
| 33
| 59
| 6.2
| 3.1
| 1
| 0no
|
18
| true
| 0.6
| 0.2
| 538
| 33
| 34
| 7.5
| 3.2
| 0.7
| 0no
|
60
| true
| 4
| 1.9
| 238
| 119
| 350
| 7.1
| 3.3
| 0.8
| 0no
|
60
| true
| 5.7
| 2.8
| 214
| 412
| 850
| 7.3
| 3.2
| 0.78
| 0no
|
60
| true
| 6.8
| 3.2
| 308
| 404
| 794
| 6.8
| 3
| 0.7
| 0no
|
60
| true
| 8.6
| 4
| 298
| 412
| 850
| 7.4
| 3
| 0.6
| 0no
|
60
| true
| 5.8
| 2.7
| 204
| 220
| 400
| 7
| 3
| 0.7
| 0no
|
60
| true
| 5.2
| 2.4
| 168
| 126
| 202
| 6.8
| 2.9
| 0.7
| 0no
|
75
| true
| 0.9
| 0.2
| 282
| 25
| 23
| 4.4
| 2.2
| 1
| 0no
|
39
| true
| 3.8
| 1.5
| 298
| 102
| 630
| 7.1
| 3.3
| 0.8
| 0no
|
39
| true
| 6.6
| 3
| 215
| 190
| 950
| 4
| 1.7
| 0.7
| 0no
|
18
| true
| 0.6
| 0.1
| 265
| 97
| 161
| 5.9
| 3.1
| 1.1
| 0no
|
18
| true
| 0.7
| 0.1
| 312
| 308
| 405
| 6.9
| 3.7
| 1.1
| 0no
|
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Error:
"configs[0]" must be of type object
ILPD
The ILPD dataset from the UCI ML repository.
Configurations and tasks
| Configuration | Task | Description |
|---|---|---|
| liver | Binary classification | Does the patient have liver problems? |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/liver")["train"]
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