Table A1.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.9523 | 0.9677 | 0.9405 | 0.9782 | 0.9574 |
SVM | 0.9687 | 0.9791 | 0.9493 | 1 | 0.9591 |
GBM | 1 | 1 | 0.9597 | 1 | 1 |
XGBoost | 1 | 1 | 0.9287 | 1 | 1 |
C5.0 | 1 | 1 | 0.6323 | 1 | 1 |
NNET | 1 | 1 | 0.9599 | 1 | 1 |
k-NN | 0.8281 | 0.8705 | 0.7232 | 0.8043 | 0.9487 |
Logistic regression | 1 | 1 | 0.9597 | 1 | 1 |