Table 5.
Model | Accuracy | F1 Score | prAUC | Precision | Recall |
---|---|---|---|---|---|
Random forest | 0.003 | 0.003 | 0.001 | 0.027 | 0.003 |
SVM | 0.049 | 0.049 | 0.140 | 0.500 | 0.087 |
GBM | 0.500 | 0.500 | 0.047 | 0.500 | 1.000 |
XGBoost | 0.500 | 0.500 | 0.007 | 1.000 | 0.500 |
C5.0 | 0.007 | 0.007 | 0.001 | 0.024 | 0.007 |
k-NN | 0.003 | 0.001 | 0.001 | 0.003 | 0.001 |
Logistic regression | 0.091 | 0.087 | 0.248 | 0.500 | 0.186 |