Table 3.
Model evaluation results.
Models | Accuracy | Precision | Recall | F1 score | AUC | |
---|---|---|---|---|---|---|
No RF-RFE | KNN | 0.930 | 0.944 | 0.890 | 0.917 | 0.925 |
LR | 0.873 | 0.867 | 0.835 | 0.851 | 0.869 | |
GNB | 0.865 | 0.861 | 0.821 | 0.841 | 0.860 | |
RF | 0.962 | 0.972 | 0.940 | 0.955 | 0.960 | |
BP | 0.959 | 0.964 | 0.940 | 0.952 | 0.957 | |
RF-RFE | KNN | 0.934 | 0.942 | 0.903 | 0.922 | 0.930 |
LR | 0.872 | 0.865 | 0.834 | 0.849 | 0.867 | |
GNB | 0.866 | 0.863 | 0.819 | 0.840 | 0.860 | |
RF | 0.963 | 0.973 | 0.942 | 0.957 | 0.961 | |
BP | 0.954 | 0.936 | 0.960 | 0.948 | 0.955 |