Table 8.
Model | Accuracy | Precision | Recall | F1 | |
---|---|---|---|---|---|
1 | XGB *_Classifier | 91.48% | 91.07% | 91.88% | 91.23% |
2 | Random_Forest_Classifier | 92.02% | 91.48% | 92.14% | 91.52% |
3 | Linear_SVM ** | 83.44% | 82.88% | 82.64% | 82.31% |
4 | Decision_Tree_Classifier | 88.03% | 87.58% | 88.61% | 87.57% |
5 | Logistic_Regression | 85.64% | 85.45% | 85.38% | 85.01% |
6 | K-Neighbors_Classifier | 73.94% | 73.85% | 74.13% | 72.37% |
7 | Naive_Bayes_Classifier | 71.93% | 70.54% | 74.52% | 76.21% |
Overall Average | 83.78% | 83.26% | 84.19% | 83.75% |
* XGB—eXtreme Gradient Boosting. ** SVM—Support Vector Machine.