| 模型 | 采样方式 | Accuracy | Precision | Recall | F1 Score | Auc |
| LR | Random Undersampling | 0.675 | 0.662 | 0.714 | 0.687 | 0.739 |
| Random Oversampling | 0.677 | 0.663 | 0.718 | 0.689 | 0.740 | |
| SMOTE | 0.679 | 0.665 | 0.723 | 0.693 | 0.742 | |
| ADASYN | 0.658 | 0.641 | 0.688 | 0.664 | 0.716 | |
| DT | Random Undersampling | 0.594 | 0.596 | 0.587 | 0.591 | 0.594 |
| Random Oversampling | 0.831 | 0.773 | 0.936 | 0.846 | 0.831 | |
| SMOTE | 0.717 | 0.704 | 0.726 | 0.708 | 0.717 | |
| ADASYN | 0.707 | 0.691 | 0.707 | 0.692 | 0.707 | |
| SVM | Random Undersampling | 0.681 | 0.661 | 0.743 | 0.699 | 0.74 |
| Random Oversampling | 0.712 | 0.687 | 0.776 | 0.729 | 0.782 | |
| SMOTE | 0.723 | 0.697 | 0.789 | 0.740 | 0.795 | |
| ADASYN | 0.703 | 0.670 | 0.777 | 0.720 | 0.769 |