Table 4.
Layer 1—Accuracy.
| Model | Accuracy | Precision | Recall | F1 | |
|---|---|---|---|---|---|
| 1 | XGB *_Classifier | 90.00% | 88.51% | 89.74% | 89.00% |
| 2 | Random_Forest_Classifier | 88.75% | 87.50% | 87.99% | 87.72% |
| 3 | Linear_SVM ** | 88.75% | 89.29% | 88.95% | 88.71% |
| 4 | Decision_Tree_Classifier | 87.50% | 87.27% | 87.09% | 86.89% |
| 5 | Logistic_Regression | 83.75% | 81.77% | 82.19% | 81.96% |
| 6 | K-Neighbors_Classifier | 82.50% | 83.84% | 82.75% | 81.91% |
| 7 | Naive_Bayes_Classifier | 77.50% | 82.48% | 80.98% | 78.33% |
| Layer 1 Average | 85.54% | 85.81% | 85.67% | 84.93% | |
* XGB—eXtreme Gradient Boosting. ** SVM—Support Vector Machine.