Table 2. Performance assessment of different types of supervised classifiers.
| Classifiers | OA (Overall Accuracy) | Precision | Recall | F1 Score |
|---|---|---|---|---|
| SAM | 87.068 | 85.371 | 88.44 | 86.879 |
| SID | 76.263 | 70.815 | 73.369 | 72.069 |
| BIN | 37.278 | 30.664 | 35.282 | 32.811 |
| MIN | 80.776 | 72.122 | 84.175 | 77.683 |
| SVM | 84.783 | 70.887 | 78.176 | 74.353 |
| Ensemble (Bagging) | 76.264 | 72.338 | 73.579 | 73.158 |
| Ensemble (Boosting) | 79.862 | 75.674 | 69.91 | 74.929 |
| Ensemble (Discriminant) | 62.356 | 59.674 | 60.241 | 54.702 |
| Ensemble (RUS Boost) | 79.459 | 77.821 | 72.573 | 75.471 |
| CNN | 89.065 | 87.565 | 89.541 | 88.678 |