Table 4. Classifiers performance of PSD-based feature extraction with oversampling using SAM and HAM-A labeling.
| HAM-A label | SAM label | |||||
|---|---|---|---|---|---|---|
| Accuracy | Recall | Precision | Accuracy | Recall | Precision | |
| KNN | 70.09% | 70.09% | 72.59% | 68.04% | 68.04% | 69.26% |
| LDA | 70.74% | 70.04% | 72.25% | 62.27% | 62.27% | 63.03% |
| SVM | 67.50% | 67.50% | 68.63% | 59.15% | 59.15% | 59.89% |
| RF | 84.07% | 84.07% | 84.15% | 79.40% | 79.40% | 79.50% |
| AdaBoost bagging | 76.11% | 76.11% | 76.29% | 69.32% | 69.32% | 69.41% |
| Gradient Bagging | 76.20% | 76.20% | 76.37% | 69.14% | 69.14% | 69.25% |