Method | Accuracy | Specificity | Precision | Recall | F1-score | MCC | AUC-ROC | AUC-PR |
---|---|---|---|---|---|---|---|---|
SAMME | 0.665 | 0.705 | 0.680 | 0.624 | 0.650 | 0.331 | 0.665 | 0.746 |
DT | 0.635 | 0.775 | 0.689 | 0.494 | 0.574 | 0.282 | 0.635 | 0.718 |
GPC | 0.701 | 0.717 | 0.709 | 0.685 | 0.696 | 0.403 | 0.701 | 0.776 |
KNN | 0.661 | 0.553 | 0.633 | 0.769 | 0.694 | 0.329 | 0.661 | 0.759 |
GNB | 0.616 | 0.509 | 0.596 | 0.723 | 0.653 | 0.238 | 0.616 | 0.729 |
QDA | 0.567 | 0.662 | 0.613 | 0.473 | 0.453 | 0.161 | 0.567 | 0.675 |
RF | 0.611 | 0.683 | 0.631 | 0.539 | 0.580 | 0.225 | 0.611 | 0.700 |
Linear-SVM | 0.678 | 0.672 | 0.676 | 0.685 | 0.680 | 0.357 | 0.678 | 0.759 |
RBF-SVM | 0.578 | 0.869 | 0.687 | 0.286 | 0.403 | 0.191 | 0.578 | 0.665 |
SNF-NN | 0.846 | 0.780 | 0.821 | 0.793 | 0.807 | 0.617 | 0.936 | 0.903 |