Table A8.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.9365 | 0.9574 | 0.9201 | 0.9782 | 0.9375 |
SVM | 1 | 1 | 0.9597 | 1 | 1 |
GBM | 1 | 1 | 0.9613 | 1 | 1 |
XGBoost | 1 | 1 | 0.9488 | 1 | 1 |
C5.0 | 0.9682 | 0.9782 | 0.6529 | 0.9782 | 0.9782 |
NNET | 1 | 1 | 0.9597 | 1 | 1 |
k-NN | 0.9206 | 0.9473 | 0.6730 | 0.9782 | 0.9183 |
Logistic regression | 1 | 1 | 0.9597 | 1 | 1 |