Model | AUC | Precision | Recall | F1 Score |
---|---|---|---|---|
XGBoost | 0.94 | 0.882 | 0.918 | 0.937 |
Sofa score | 0.687 | 0.849 | 0.879 | 0.914 |
Logistic regression | 0.707 | 0.850 | 0.878 | 0.915 |
Random forest | 0.686 | 0.852 | 0.882 | 0.917 |
K-nearest Neighbor | 0.622 | 0.855 | 0.873 | 0.892 |
Naïve Bayes | 0.590 | 0.842 | 0.876 | 0.914 |
SVM | 0.648 | 0.855 | 0.873 | 0.892 |
Decision Tree | 0.595 | 0.853 | 0.861 | 0.871 |