Models | AUC (95% CI) | Kappa | Sensitivity | Specificity |
---|---|---|---|---|
Logistic regression | 0.898 (0.860–0.936) | 0.794 | 0.831 | 0.965 |
Random forest | 0.940 (0.910–0.970) | 0.880 | 0.966 | 0.913 |
Gradient boosting machine | 0.910 (0.873–0.947) | 0.820 | 0.898 | 0.922 |
Decision tree | 0.842 (0.796–0.888) | 0.683 | 0.779 | 0.904 |
Support vector machine | 0.902 (0.864–0.940) | 0.803 | 0.856 | 0.948 |
Neural network | 0.923 (0.889–0.957) | 0.846 | 0.907 | 0.939 |
Regularized discriminant analysis | 0.915 (0.879–0.950) | 0.828 | 0.881 | 0.947 |