Binary Diabetes Detection on NCSU Diabetes Dataset (Stratified 5-Fold CV)
76.2AccuracyRandom Forest
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Random ForestCross-Validation=Stratified 5-Fold2026.05 | 76.2 | 71.4 | 70.6 | 55.6 | 62 | 82.1 | |
| Gradient BoostingCross-Validation=Stratified 5-Fold2026.05 | 75.2 | 71.8 | 66.4 | 60.3 | 63 | 80.7 | |
| SVM-RBFCross-Validation=Stratified 5-Fold2026.05 | 75.1 | 74.5 | 62.3 | 72.4 | 67 | 82.5 | |
| Extra TreesCross-Validation=Stratified 5-Fold2026.05 | 75.1 | 68.8 | 71.9 | 48.2 | 57.4 | 81.4 | |
| three-stage machine learning frameworkCross-Validation=Stratified 5-Fold2026.05 | 75.1 | 74.3 | 63.1 | 71.6 | 66.9 | 83.4 | |
| Logistic RegressionCross-Validation=Stratified 5-Fold2026.05 | 74.9 | 74.1 | 62.4 | 71.5 | 66.5 | 82.5 |