Table A3.
Machine learning prediction performance.
| Method | Accuracy | Sensitivity | Precision | Specificity | f1 | AUC |
|---|---|---|---|---|---|---|
| SVM | 0.757 | 0.515 | 0.515 | 0.838 | 0.515 | 0.779 (0.774, 0.787) |
| Random Forest | 0.726 | 0.451 | 0.451 | 0.817 | 0.451 | 0.768 (0.756, 0.781) |
| KNN | 0.735 | 0.469 | 0.469 | 0.823 | 0.469 | 0.767 (0.754, 0.770) |
| XGBoost | 0.722 | 0.444 | 0.444 | 0.815 | 0.444 | 0.740 (0.720, 0.760) |
AUC: Area under the curve.