Table 2.
Performance Comparison among Four Different Classifiers, which are Rotation Forest, SVM, Random Forest, and Decision Tree
| Method | Accuracy | Sensitivity | Precision | F1-Score |
|---|---|---|---|---|
| SVM | 83.73% | 83.56% | 83.33% | 83.45% |
| RF | 82.06% | 76.49% | 85.43% | 80.72% |
| DT | 80.33% | 78.12% | 81.10% | 79.58% |
| RoF | 85.00% | 85.60% | 84.11% | 84.85% |