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Model performance based on number of features (14 and 5 features) and method used (NIDDK test dataset)
| Performance | Logistic Regression | CART | Random Forest | XGBoost |
|---|---|---|---|---|
| 14-Feature Model | ||||
| AUC | 77% | 72% | 82% | 82% |
| Accuracy | 73% | 70% | 75% | 75% |
| Precision | 79% | 76% | 80% | 81% |
| Sensitivity | 79% | 78% | 82% | 81% |
| 5-Feature Model | ||||
| AUC | 75% | 73% | 78% | 79% |
| Accuracy | 73% | 69% | 70% | 74% |
| Precision | 78% | 77% | 77% | 80% |
| Sensitivity | 80% | 75% | 77% | 80% |
Abbreviations: Classification and regression trees (CART), area under the curve (AUC).
