Models | Accuracy (Overall) | Accuracy (Weighted) | F1-score | Precision | Specificity | Error rate | AUC |
---|---|---|---|---|---|---|---|
RF + VGG | 0.7882 | 0.82 | 0.7882 | 0.7882 | 0.7882 | 0.2117 | 0.95 |
FS + RF + VGG | 0.8188 | 0.83 | 0.8188 | 0.8188 | 0.8188 | 0.18117 | 0.96 |
RF + EFNET | 0.5529 | 0.61 | 0.5529 | 0.5529 | 0.5529 | 0.4471 | 0.84 |
FS + RF + EFNET | 0.5906 | 0.61 | 0.5906 | 0.5906 | 0.5906 | 0.4094 | 0.85 |
SVM + VGG | 0.7718 | 0.81 | 0.7718 | 0.7718 | 0.7718 | 0.2282 | 0.81 |
FS + SVM + VGG | 0.7906 | 0.81 | 0.7906 | 0.7906 | 0.7906 | 0.2094 | 0.84 |
SVM + EFNET | 0.7200 | 0.75 | 0.7200 | 0.7200 | 0.7200 | 0.2800 | 0.85 |
FS + SVM + EFNET | 0.7671 | 0.79 | 0.7671 | 0.7671 | 0.7671 | 0.2329 | 0.85 |