Table 7.
Layer 4—accuracy.
| Model | Accuracy | Precision | Recall | F1 | |
|---|---|---|---|---|---|
| 1 | Random_Forest_Classifier | 93.60% | 93.42% | 93.70% | 93.36% |
| 2 | XGB *_Classifier | 93.45% | 93.24% | 93.44% | 93.41% |
| 3 | Logistic_Regression | 90.91% | 92.21% | 88.89% | 89.18% |
| 4 | Decision_Tree_Classifier | 90.91% | 89.68% | 91.11% | 90.13% |
| 5 | Linear_SVM ** | 85.00% | 83.33% | 83.81% | 83.22% |
| 6 | K-Neighbors_Classifier | 81.82% | 80.00% | 80.00% | 78.57% |
| 7 | Naive_Bayes_Classifier | 81.82% | 81.90% | 82.22% | 81.68% |
| Layer 4 Average | 88.21% | 87.68% | 87.60% | 87.08% | |
* XGB—eXtreme Gradient Boosting. ** SVM—Support Vector Machine.