Table A7.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.9682 | 0.9787 | 0.9162 | 1 | 0.9583 |
SVM | 0.9841 | 0.9892 | 0.9560 | 1 | 0.9787 |
GBM | 1 | 1 | 0.9198 | 1 | 1 |
XGBoost | 1 | 1 | 0.9597 | 1 | 1 |
C5.0 | 1 | 1 | 0.4561 | 1 | 1 |
NNET | 1 | 1 | 0.9597 | 1 | 1 |
k-NN | 0.9062 | 0.9361 | 0.6021 | 0.9565 | 0.9166 |
Logistic regression | 1 | 1 | 0.9613 | 1 | 1 |