Table 5.
Model | Accuracy | Precision | Recall | F1 | |
---|---|---|---|---|---|
1 | Random_Forest_Classifier | 91.60% | 92.31% | 91.67% | 91.29% |
2 | Decision_Tree_Classifier | 91.36% | 91.29% | 91.29% | 91.29% |
3 | XGB *_Classifier | 91.30% | 92.31% | 91.67% | 91.29% |
4 | Linear_SVM ** | 90.00% | 91.67% | 90.00% | 89.90% |
5 | Logistic_Regression | 82.61% | 82.58% | 82.58% | 82.58% |
6 | Naive_Bayes_Classifier | 69.57% | 74.11% | 70.45% | 68.62% |
7 | K-Neighbors_Classifier | 60.87% | 61.90% | 61.36% | 60.57% |
Layer 2 Average | 82.47% | 83.74% | 82.72% | 82.22% |
* XGB—eXtreme Gradient Boosting. ** SVM—Support Vector Machine.