Table 6. Classifiers performance of DWT-based feature extraction with oversampling using SAM and HAM-A labeling.
| HAM-A label | SAM Label | |||||
|---|---|---|---|---|---|---|
| Accuracy | Recall | Precision | Accuracy | Recall | Precision | |
| KNN | 61.94% | 61.94% | 72.72% | 57.50% | 57.50% | 69.38% |
| LDA | 75.37% | 75.37% | 75.85% | 65.20% | 65.20% | 66.68% |
| SVM | 70.06% | 70.06% | 70.92% | 58.80% | 58.80% | 60.56% |
| RF | 87.50% | 87.50% | 87.65% | 82.14% | 82.14% | 82.32% |
| AdaBoost bagging | 78.98% | 78.98% | 79.03% | 74.43% | 74.43% | 72.54% |
| Gradient bagging | 77.87% | 77.87% | 77.92% | 73.44% | 73.44% | 73.52% |