模型 | 采样方式 | Accuracy | Precision | Recall | F1 Score | Auc |
LR | Random Undersampling | 0.712 | 0.682 | 0.796 | 0.735 | 0.800 |
Random Oversampling | 0.711 | 0.682 | 0.790 | 0.732 | 0.800 | |
SMOTE | 0.712 | 0.683 | 0.794 | 0.734 | 0.801 | |
ADASYN | 0.692 | 0.655 | 0.783 | 0.713 | 0.774 | |
DT | Random Undersampling | 0.867 | 0.839 | 0.908 | 0.872 | 0.871 |
Random Oversampling | 0.948 | 0.917 | 0.985 | 0.950 | 0.954 | |
SMOTE | 0.909 | 0.901 | 0.919 | 0.910 | 0.913 | |
ADASYN | 0.894 | 0.892 | 0.893 | 0.892 | 0.899 | |
SVM | Random Undersampling | 0.745 | 0.697 | 0.867 | 0.773 | 0.825 |
Random Oversampling | 0.762 | 0.719 | 0.863 | 0.784 | 0.840 | |
SMOTE | 0.763 | 0.717 | 0.870 | 0.786 | 0.842 | |
ADASYN | 0.740 | 0.684 | 0.876 | 0.768 | 0.812 |