Algorithm | Accuracy | Sensitivity | Specificity | AUROC (95%CI) |
---|---|---|---|---|
Logistic Regression | 0.791 | 0.792 | 0.791 | 0.856 (0.804–0.908) |
Random Forest | 0.760 | 0.750 | 0.760 | 0.844 (0.788–0.899) |
SVM | 0.706 | 0.708 | 0.706 | 0.730 (0.648–0.812) |
KNN | 0.658 | 0.542 | 0.662 | 0.630 (0.549–0.712) |
lightGBM | 0.769 | 0.771 | 0.769 | 0.842 (0.788–0.896) |
MLP | 0.734 | 0.812 | 0.731 | 0.829 (0.779–0.885) |
XGBoost | 0.709 | 0.708 | 0.709 | 0.825 (0.772–0.878) |