Table 6.
Layer 3—Accuracy.
| Model | Accuracy | Precision | Recall | F1 | |
|---|---|---|---|---|---|
| 1 | Random_Forest_Classifier | 94.12% | 92.67% | 95.21% | 93.72% |
| 2 | XGB *_Classifier | 91.18% | 90.24% | 92.65% | 91.21% |
| 3 | Logistic_Regression | 85.29% | 85.24% | 87.86% | 86.32% |
| 4 | Decision_Tree_Classifier | 82.35% | 82.08% | 84.96% | 81.98% |
| 5 | K-Neighbors_Classifier | 70.59% | 69.65% | 72.39% | 68.41% |
| 6 | Linear_SVM ** | 70.00% | 67.25% | 67.79% | 67.43% |
| 7 | Naive_Bayes_Classifier | 58.82% | 43.67% | 64.44% | NaN |
| Layer 3 Average | 78.91% | 75.83% | 80.76% | 81.51% | |
* XGB—eXtreme Gradient Boosting. ** SVM—Support Vector Machine.