Pima
Hugging Facepima The pima dataset from the UCI ML repository. Predict diabetes of a patient. Configurations and tasks Configuration Task Description pima Binary classification Does the patient have diabetes? Usage from datasets import load_dataset dataset = load_dataset("mstz/pima")["train"]
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Data preview
500 rows · 9 columns · showing first 12| # | number_of_pregnancies integer | plasma_glucose_concentration float | diastolic_blood_pressure float | triceps_thickness float | serum_insulin float | bmi float | diabetes_pedigree float | age float | has_diabetes integer |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 6 | 148 | 72 | 35 | 0 | 33.6 | 0.627 | 50 | 1 |
| 2 | 1 | 85 | 66 | 29 | 0 | 26.6 | 0.351 | 31 | 0 |
| 3 | 8 | 183 | 64 | 0 | 0 | 23.3 | 0.672 | 32 | 1 |
| 4 | 1 | 89 | 66 | 23 | 94 | 28.1 | 0.167 | 21 | 0 |
| 5 | 0 | 137 | 40 | 35 | 168 | 43.1 | 2.288 | 33 | 1 |
| 6 | 5 | 116 | 74 | 0 | 0 | 25.6 | 0.201 | 30 | 0 |
| 7 | 3 | 78 | 50 | 32 | 88 | 31 | 0.248 | 26 | 1 |
| 8 | 10 | 115 | 0 | 0 | 0 | 35.3 | 0.134 | 29 | 0 |
| 9 | 2 | 197 | 70 | 45 | 543 | 30.5 | 0.158 | 53 | 1 |
| 10 | 8 | 125 | 96 | 0 | 0 | 0 | 0.232 | 54 | 1 |
| 11 | 4 | 110 | 92 | 0 | 0 | 37.6 | 0.191 | 30 | 0 |
| 12 | 10 | 168 | 74 | 0 | 0 | 38 | 0.537 | 34 | 1 |
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Columns
- number_of_pregnancies numeric
- plasma_glucose_concentration numeric
- diastolic_blood_pressure numeric
- triceps_thickness numeric
- serum_insulin numeric
- bmi numeric
- diabetes_pedigree numeric
- age numeric
- has_diabetes numeric