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Performance (specificity and sensitivity) of the 5 classifiers on diabetes-prediction balanced and unbalanced data.
| Classifier | Specificity (%) | Sensitivity (%) | ||||
|---|---|---|---|---|---|---|
| Without SMOTE-NC | With SMOTE-NC | % Change | Without SMOTE-NC | With SMOTE-NC | % Change | |
| XGB | 13.8% | 35% | +21.2% | 84% | 71% | −13% |
| CGB | 36.8% | 51.9% | +15.1% | 85% | 82% | −3% |
| RF | 18.9% | 43.9% | +25% | 84% | 78% | −6% |
| LR | 11.8% | 33.1% | +21.3% | 81% | 69% | −12% |
| SVM | 21.2% | 33.3% | +12.1% | 84% | 67% | −17% |
