Model | (AUC) | Classification accuracy (CA) | F1 | Precision | Recall |
---|---|---|---|---|---|
Random Forest | 0.860 | 0.746 | 0.721 | 0.752 | 0.746 |
Neural Network | 0.863 | 0.746 | 0.723 | 0.748 | 0.746 |
SVM | 0.804 | 0.735 | 0.704 | 0.735 | 0.735 |
Logistic Regression | 0.826 | 0.717 | 0.685 | 0.700 | 0.717 |
Naïve Bayes | 0.810 | 0.713 | 0.692 | 0.706 | 0.713 |
kNN | 0.810 | 0.699 | 0.694 | 0.691 | 0.699 |