Table A9.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.9687 | 0.9787 | 0.9437 | 1 | 0.9583 |
SVM | 1 | 1 | 0.9597 | 1 | 1 |
GBM | 1 | 1 | 0.9305 | 1 | 1 |
XGBoost | 1 | 1 | 0.8836 | 1 | 1 |
C5.0 | 0.9682 | 0.9787 | 0.7966 | 1 | 0.9583 |
NNET | 1 | 1 | 0.9597 | 1 | 1 |
k-NN | 0.9365 | 0.9565 | 0.5708 | 0.9565 | 0.9565 |
Logistic regression | 0.9687 | 0.9787 | 0.9613 | 1 | 0.9583 |