Table 6.
Model | AUC | Accuracy (%) | Sensitivity | Specificity |
---|---|---|---|---|
XGB | 0.5492 | 62.39 | 0.8329 | 0.1797 |
SVM | 0.5105 | 68.15 | 1.0000 | 0.0000 |
RF | 0.5426 | 64.25 | 0.9245 | 0.0436 |
XGB + SVM | 0.5698 | 67.78 | 0.9947 | 0.0000 |
XGB + RF | 0.5579 | 64.52 | 0.9317 | 0.0378 |
SVM + RF | 0.5457 | 67.41 | 0.9889 | 0.0000 |
XGB + RF + SVM | 0.5601 | 67.41 | 0.9897 | 0.0000 |
Logistic regression | 0.6350 | 70.97 | 0.8812 | 0.3889 |
Abbreviations: AUC = area under the curve; XGB = XGBoost; RF = random forest; SVM = support vector machine.