Table A5.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.9375 | 0.9583 | 0.9291 | 0.9787 | 0.9387 |
SVM | 1 | 1 | 0.9597 | 1 | 1 |
GBM | 1 | 1 | 0.9194 | 1 | 1 |
XGBoost | 1 | 1 | 0.9173 | 1 | 1 |
C5.0 | 0.9523 | 0.9648 | 0.6030 | 1 | 0.9387 |
NNET | 1 | 1 | 0.9615 | 1 | 1 |
k-NN | 0.9206 | 0.9462 | 0.6924 | 0.9565 | 0.9361 |
Logistic regression | 0.9843 | 0.9892 | 0.9560 | 0.9787 | 1 |