Table A10.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.9531 | 0.9677 | 0.9015 | 0.9782 | 0.9574 |
SVM | 0.9843 | 0.9890 | 0.9613 | 0.9782 | 1 |
GBM | 1 | 1 | 0.9597 | 1 | 1 |
XGBoost | 1 | 1 | 0.9178 | 1 | 1 |
C5.0 | 0.9365 | 0.9574 | 0.6453 | 0.9782 | 0.9375 |
NNET | 1 | 1 | 0.9597 | 1 | 1 |
k-NN | 0.8750 | 0.9200 | 0.5928 | 0.9787 | 0.8679 |
Logistic regression | 1 | 1 | 0.9597 | 1 | 1 |