Performance ability | Indicators | Logistic | Random Forest | XGBoost |
---|---|---|---|---|
Discrimination | Optimal cutoff (Youden) | 0.144 | 0.182 | 0.167 |
 | True negative | 1332 | 1424 | 1461 |
 | False positive | 444 | 352 | 315 |
 | False negative | 79 | 75 | 83 |
 | True positive | 266 | 270 | 262 |
 | Specificity | 0.750 | 0.802 | 0.823 |
 | Sensitivity | 0.771 | 0.782 | 0.760 |
 | Precision | 0.375 | 0.434 | 0.454 |
 | Recall | 0.771 | 0.782 | 0.760 |
 | F1 score | 0.505 | 0.558 | 0.568 |
 | Accuracy | 0.753 | 0.799 | 0.812 |
 | AUROC | 0.848 | 0.877 | 0.887 |
 | AUPR | 0.670 | 0.727 | 0.750 |
Calibration | Brier score | 0.085 | 0.093 | 0.072 |