Table 2 Predictive model performance evaluation indicators
Sample method | Model | Accuracy | Precision | Recall | F1 Score | AUC |
|---|---|---|---|---|---|---|
Random | RF | 0.798 | 0.764 | 0.808 | 0.785 | 0.844 |
Random | KNN | 0.754 | 0.700 | 0.808 | 0.750 | 0.826 |
Random | XGBoost | 0.781 | 0.721 | 0.846 | 0.779 | 0.849 |
Random | SVM | 0.789 | 0.726 | 0.865 | 0.789 | 0.814 |
Random | LR | 0.737 | 0.690 | 0.769 | 0.727 | 0.808 |
Kernel Density | RF | 0.912 | 0.892 | 0.951 | 0.921 | 0.958 |
Kernel Density | KNN | 0.912 | 0.881 | 0.967 | 0.922 | 0.940 |
Kernel Density | XGBoost | 0.930 | 0.896 | 0.984 | 0.938 | 0.936 |
Kernel Density | SVM | 0.912 | 0.892 | 0.951 | 0.921 | 0.966 |
Kernel Density | LR | 0.895 | 0.866 | 0.951 | 0.906 | 0.944 |