Table A6.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.9047 | 0.9361 | 0.8983 | 0.9565 | 0.9166 |
SVM | 1 | 1 | 0.9597 | 1 | 1 |
GBM | 1 | 1 | 0.9597 | 1 | 1 |
XGBoost | 1 | 1 | 0.9271 | 1 | 1 |
C5.0 | 0.9531 | 0.9684 | 0.6547 | 0.9787 | 0.9583 |
NNET | 1 | 1 | 0.9597 | 1 | 1 |
k-NN | 0.9206 | 0.9450 | 0.6106 | 0.9347 | 0.9555 |
Logistic regression | 1 | 1 | 0.9599 | 1 | 1 |