Table 3.
AUC | Precision | Recall | F1 Score | Accuracy | |
---|---|---|---|---|---|
Best model from previous research | N/A | 0.35 | 0.36 | 0.35 | N/A |
Logistic Regression | 0.70 | 0.42 | 0.68 | 0.52 | 0.64 |
Support Vector Machine | 0.66 | 0.37 | 0.69 | 0.48 | 0.57 |
Random Forest | 0.69 | 0.40 | 0.71 | 0.51 | 0.61 |
Extreme Gradient Boosted Tree | 0.70 | 0.41 | 0.76 | 0.53 | 0.61 |
Weighted Voting Classifier | 0.71 | 0.43 | 0.70 | 0.53 | 0.64 |