Table 9.
Test set accuracy.
| Model | Layer 1 | Layer 2 | Layer 3 | Layer 4 | |
|---|---|---|---|---|---|
| 1 | XGB *_Classifier | 89.00% | 91.29% | 91.21% | 93.41% |
| 2 | Random_Forest_Classifier | 87.72% | 91.29% | 93.72% | 93.36% |
| 3 | Linear_SVM ** | 88.71% | 89.90% | 67.43% | 83.22% |
| 4 | Decision_Tree_Classifier | 86.89% | 91.29% | 81.98% | 90.13% |
| 5 | Logistic_Regression | 81.96% | 82.58% | 86.32% | 89.18% |
| 6 | K-Neighbors_Classifier | 81.91% | 60.57% | 68.41% | 78.57% |
| 7 | Naive_Bayes_Classifier | 78.33% | 68.62% | NaN | 81.68% |
| Average | 84.93% | 82.22% | 81.51% | 87.08% |
* XGB—eXtreme Gradient Boosting. ** SVM—Support Vector Machine.