Table 4 Classification accuracy comparison.
Model | Accuracy (%) | Precision (%) | Recall (%) | F1-Score (%) |
|---|---|---|---|---|
Mobile-Net (No Feature Selection) | 94.09 | 94.44 | 94.09 | 94.02 |
Mobile-Net + PCA + MLP | 95.52 | 95.57 | 95.52 | 95.51 |
Mobile-Net + Mutual Information + MLP | 93.01 | 93.42 | 93.01 | 93.13 |
Mobile-Net Lasso Feature Selection + MLP | 95.13 | 95.19 | 95.13 | 95.15 |
Mobile-Net + QAOA + MLP | 90.17 | 90.43 | 90.17 | 90.25 |
Auto encoder-Based Feature Selection | 93.60 | 93.72 | 93.60 | 93.61 |
Proposed (DG-QFS) | 96.73 | 96.87 | 96.70 | 96.67 |
