Table 4 ROC-AUC values for machine learning models
S.No | Models | AUC |
|---|---|---|
1. | Logistic Regression | 0.90 |
2. | Random Forest | 0.95 |
3. | SVM regression | 0.91 |
4. | KNN | 0.91 |
5. | GBM | 0.92 |
6. | Neural Network | 0.91 |
7. | XGBoost | 0.94 |
8. | MANN | 0.91 |
9. | FDA | 0.91 |
10. | CIT | 0.91 |
11. | Bagged Tree | 0.95 |
12. | Navie Bayes | 0.91 |
13. | MARS | 0.90 |
14. | BGLM | 0.90 |
15. | BGGLM | 0.90 |