Table 6.
Classification Report with Oversampling.
Model | Accuracy | Precision | F1 Score | TPR | TNR | auROC | auPR | MCC |
---|---|---|---|---|---|---|---|---|
SVM | 88.94 | 88.62 | 0.8876 | 0.65 | 0.93 | 0.878 | 0.666 | 0.5564 |
RF | 89.65 | 90.05 | 0.8982 | 0.65 | 0.95 | 0.933 | 0.731 | 0.625 |
MLP | 87.21 | 87.2 | 0.8721 | 0.59 | 0.92 | 0.9 | 0.631 | 0.4931 |
DT | 89.4 | 89.96 | 0.8964 | 0.65 | 0.95 | 0.919 | 0.689 | 0.6127 |
XGBoost | 90.21 | 90.11 | 0.9016 | 0.69 | 0.94 | 0.93 | 0.724 | 0.6243 |