Search is not available for this dataset
Pregnancies int64 | Glucose float64 | BloodPressure float64 | SkinThickness float64 | Insulin float64 | BMI float64 | DiabetesPedigree float64 | Age int64 | Outcome int64 |
|---|---|---|---|---|---|---|---|---|
6 | 148 | 72 | 35 | null | 33.6 | 0.627 | 50 | 1 |
1 | 85 | 66 | 29 | null | 26.6 | 0.351 | 31 | 0 |
8 | 183 | 64 | null | null | 23.3 | 0.672 | 32 | 1 |
1 | 89 | 66 | 23 | 94 | 28.1 | 0.167 | 21 | 0 |
0 | 137 | 40 | 35 | 168 | 43.1 | 2.288 | 33 | 1 |
5 | 116 | 74 | null | null | 25.6 | 0.201 | 30 | 0 |
3 | 78 | 50 | 32 | 88 | 31 | 0.248 | 26 | 1 |
10 | 115 | null | null | null | 35.3 | 0.134 | 29 | 0 |
2 | 197 | 70 | 45 | 543 | 30.5 | 0.158 | 53 | 1 |
8 | 125 | 96 | null | null | null | 0.232 | 54 | 1 |
4 | 110 | 92 | null | null | 37.6 | 0.191 | 30 | 0 |
10 | 168 | 74 | null | null | 38 | 0.537 | 34 | 1 |
10 | 139 | 80 | null | null | 27.1 | 1.441 | 57 | 0 |
1 | 189 | 60 | 23 | 846 | 30.1 | 0.398 | 59 | 1 |
5 | 166 | 72 | 19 | 175 | 25.8 | 0.587 | 51 | 1 |
7 | 100 | null | null | null | 30 | 0.484 | 32 | 1 |
0 | 118 | 84 | 47 | 230 | 45.8 | 0.551 | 31 | 1 |
7 | 107 | 74 | null | null | 29.6 | 0.254 | 31 | 1 |
1 | 103 | 30 | 38 | 83 | 43.3 | 0.183 | 33 | 0 |
1 | 115 | 70 | 30 | 96 | 34.6 | 0.529 | 32 | 1 |
3 | 126 | 88 | 41 | 235 | 39.3 | 0.704 | 27 | 0 |
8 | 99 | 84 | null | null | 35.4 | 0.388 | 50 | 0 |
7 | 196 | 90 | null | null | 39.8 | 0.451 | 41 | 1 |
9 | 119 | 80 | 35 | null | 29 | 0.263 | 29 | 1 |
11 | 143 | 94 | 33 | 146 | 36.6 | 0.254 | 51 | 1 |
10 | 125 | 70 | 26 | 115 | 31.1 | 0.205 | 41 | 1 |
7 | 147 | 76 | null | null | 39.4 | 0.257 | 43 | 1 |
1 | 97 | 66 | 15 | 140 | 23.2 | 0.487 | 22 | 0 |
13 | 145 | 82 | 19 | 110 | 22.2 | 0.245 | 57 | 0 |
5 | 117 | 92 | null | null | 34.1 | 0.337 | 38 | 0 |
5 | 109 | 75 | 26 | null | 36 | 0.546 | 60 | 0 |
3 | 158 | 76 | 36 | 245 | 31.6 | 0.851 | 28 | 1 |
3 | 88 | 58 | 11 | 54 | 24.8 | 0.267 | 22 | 0 |
6 | 92 | 92 | null | null | 19.9 | 0.188 | 28 | 0 |
10 | 122 | 78 | 31 | null | 27.6 | 0.512 | 45 | 0 |
4 | 103 | 60 | 33 | 192 | 24 | 0.966 | 33 | 0 |
11 | 138 | 76 | null | null | 33.2 | 0.42 | 35 | 0 |
9 | 102 | 76 | 37 | null | 32.9 | 0.665 | 46 | 1 |
2 | 90 | 68 | 42 | null | 38.2 | 0.503 | 27 | 1 |
4 | 111 | 72 | 47 | 207 | 37.1 | 1.39 | 56 | 1 |
3 | 180 | 64 | 25 | 70 | 34 | 0.271 | 26 | 0 |
7 | 133 | 84 | null | null | 40.2 | 0.696 | 37 | 0 |
7 | 106 | 92 | 18 | null | 22.7 | 0.235 | 48 | 0 |
9 | 171 | 110 | 24 | 240 | 45.4 | 0.721 | 54 | 1 |
7 | 159 | 64 | null | null | 27.4 | 0.294 | 40 | 0 |
0 | 180 | 66 | 39 | null | 42 | 1.893 | 25 | 1 |
1 | 146 | 56 | null | null | 29.7 | 0.564 | 29 | 0 |
2 | 71 | 70 | 27 | null | 28 | 0.586 | 22 | 0 |
7 | 103 | 66 | 32 | null | 39.1 | 0.344 | 31 | 1 |
7 | 105 | null | null | null | null | 0.305 | 24 | 0 |
1 | 103 | 80 | 11 | 82 | 19.4 | 0.491 | 22 | 0 |
1 | 101 | 50 | 15 | 36 | 24.2 | 0.526 | 26 | 0 |
5 | 88 | 66 | 21 | 23 | 24.4 | 0.342 | 30 | 0 |
8 | 176 | 90 | 34 | 300 | 33.7 | 0.467 | 58 | 1 |
7 | 150 | 66 | 42 | 342 | 34.7 | 0.718 | 42 | 0 |
1 | 73 | 50 | 10 | null | 23 | 0.248 | 21 | 0 |
7 | 187 | 68 | 39 | 304 | 37.7 | 0.254 | 41 | 1 |
0 | 100 | 88 | 60 | 110 | 46.8 | 0.962 | 31 | 0 |
0 | 146 | 82 | null | null | 40.5 | 1.781 | 44 | 0 |
0 | 105 | 64 | 41 | 142 | 41.5 | 0.173 | 22 | 0 |
2 | 84 | null | null | null | null | 0.304 | 21 | 0 |
8 | 133 | 72 | null | null | 32.9 | 0.27 | 39 | 1 |
5 | 44 | 62 | null | null | 25 | 0.587 | 36 | 0 |
2 | 141 | 58 | 34 | 128 | 25.4 | 0.699 | 24 | 0 |
7 | 114 | 66 | null | null | 32.8 | 0.258 | 42 | 1 |
5 | 99 | 74 | 27 | null | 29 | 0.203 | 32 | 0 |
0 | 109 | 88 | 30 | null | 32.5 | 0.855 | 38 | 1 |
2 | 109 | 92 | null | null | 42.7 | 0.845 | 54 | 0 |
1 | 95 | 66 | 13 | 38 | 19.6 | 0.334 | 25 | 0 |
4 | 146 | 85 | 27 | 100 | 28.9 | 0.189 | 27 | 0 |
2 | 100 | 66 | 20 | 90 | 32.9 | 0.867 | 28 | 1 |
5 | 139 | 64 | 35 | 140 | 28.6 | 0.411 | 26 | 0 |
13 | 126 | 90 | null | null | 43.4 | 0.583 | 42 | 1 |
4 | 129 | 86 | 20 | 270 | 35.1 | 0.231 | 23 | 0 |
1 | 79 | 75 | 30 | null | 32 | 0.396 | 22 | 0 |
1 | null | 48 | 20 | null | 24.7 | 0.14 | 22 | 0 |
7 | 62 | 78 | null | null | 32.6 | 0.391 | 41 | 0 |
5 | 95 | 72 | 33 | null | 37.7 | 0.37 | 27 | 0 |
0 | 131 | null | null | null | 43.2 | 0.27 | 26 | 1 |
2 | 112 | 66 | 22 | null | 25 | 0.307 | 24 | 0 |
3 | 113 | 44 | 13 | null | 22.4 | 0.14 | 22 | 0 |
2 | 74 | null | null | null | null | 0.102 | 22 | 0 |
7 | 83 | 78 | 26 | 71 | 29.3 | 0.767 | 36 | 0 |
0 | 101 | 65 | 28 | null | 24.6 | 0.237 | 22 | 0 |
5 | 137 | 108 | null | null | 48.8 | 0.227 | 37 | 1 |
2 | 110 | 74 | 29 | 125 | 32.4 | 0.698 | 27 | 0 |
13 | 106 | 72 | 54 | null | 36.6 | 0.178 | 45 | 0 |
2 | 100 | 68 | 25 | 71 | 38.5 | 0.324 | 26 | 0 |
15 | 136 | 70 | 32 | 110 | 37.1 | 0.153 | 43 | 1 |
1 | 107 | 68 | 19 | null | 26.5 | 0.165 | 24 | 0 |
1 | 80 | 55 | null | null | 19.1 | 0.258 | 21 | 0 |
4 | 123 | 80 | 15 | 176 | 32 | 0.443 | 34 | 0 |
7 | 81 | 78 | 40 | 48 | 46.7 | 0.261 | 42 | 0 |
4 | 134 | 72 | null | null | 23.8 | 0.277 | 60 | 1 |
2 | 142 | 82 | 18 | 64 | 24.7 | 0.761 | 21 | 0 |
6 | 144 | 72 | 27 | 228 | 33.9 | 0.255 | 40 | 0 |
2 | 92 | 62 | 28 | null | 31.6 | 0.13 | 24 | 0 |
1 | 71 | 48 | 18 | 76 | 20.4 | 0.323 | 22 | 0 |
6 | 93 | 50 | 30 | 64 | 28.7 | 0.356 | 23 | 0 |
1 | 122 | 90 | 51 | 220 | 49.7 | 0.325 | 31 | 1 |
End of preview. Expand in Data Studio
Pima Indians Diabetes
Classic biostatistics dataset for predicting diabetes onset in Pima Indian women based on clinical and demographic variables. Originally from the National Institute of Diabetes and Digestive and Kidney Diseases.
Feature Summary
| Feature | Type | Role |
|---|---|---|
Pregnancies |
numeric | predictor |
Glucose |
numeric | predictor |
BloodPressure |
numeric | predictor |
SkinThickness |
numeric | predictor |
Insulin |
numeric | predictor |
BMI |
numeric | predictor |
DiabetesPedigree |
numeric | predictor |
Age |
numeric | predictor |
Outcome |
numeric | target |
Statistics
- Target distribution: 0 (no diabetes): 500, 1 (diabetes): 268
- Missing values: Insulin 48.7%, SkinThickness 29.6% (biologically impossible zeros set to NaN)
Benchmark Results (5-Fold CV)
| Model | ROC-AUC | F1 | Accuracy | Sensitivity | Precision |
|---|---|---|---|---|---|
| logistic_regression | 0.8376 | 0.6836 | 0.7590 | 0.7387 | 0.6409 |
| random_forest | 0.8299 | 0.6757 | 0.7512 | 0.7425 | 0.6215 |
| xgboost | 0.8131 | 0.6226 | 0.7265 | 0.6491 | 0.5997 |
Preprocessing Notes
- Missing values imputed with median (numeric) / most frequent (categorical)
- SMOTE applied during cross-validation to handle class imbalance
- Numeric features standardized (z-score normalization)
Citation
See source reference above. This dataset is repackaged for HF datasets format.
- Downloads last month
- 17