Table 5. Classifiers performance of PSD-based feature extraction without oversampling using SAM and HAM-A labeling.
| HAM-A label | SAM Label | |||||
|---|---|---|---|---|---|---|
| Accuracy | Recall | Precision | Accuracy | Recall | Precision | |
| KNN | 64.37% | 64.37% | 67.74% | 58.57% | 58.57% | 58.11% |
| LDA | 68.35% | 68.35% | 67.74% | 60.39% | 60.39% | 58.00% |
| SVM | 67.15% | 67.15% | 72.46% | 64.25% | 64.25% | 59.63% |
| RF | 78.74% | 78.74% | 78.67% | 68.36% | 68.36% | 67.47% |
| AdaBoost bagging | 74.52% | 74.52% | 74.20% | 67.03% | 67.03% | 65.60% |
| Gradient Bagging | 73.06% | 73.06% | 72.66% | 64.13% | 64.13% | 62.44% |