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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YAML Metadata
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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