Table 4 Overall model performance.
Model | Training Accuracy (%) | Validation Accuracy (%) | Test Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
|---|---|---|---|---|---|---|
Baseline CNN | 93.67 ± 0.24 | 93.5 ± 0.31 | 92.61 ± 0.28 | 92.5 ± 0.22 | 92.5 ± 0.25 | 92.5 ± 0.24 |
AlexNet | 91.3 ± 0.27 | 90.8 ± 0.33 | 90.2 ± 0.29 | 90.6 ± 0.26 | 90.4 ± 0.23 | 90.9 ± 0.25 |
ResNet | 97.1 ± 0.18 | 96.9 ± 0.21 | 96.7 ± 0.20 | 95.9 ± 0.17 | 95.7 ± 0.18 | 95.8 ± 0.19 |
EfficientNet | 98.2 ± 0.16 | 97.9 ± 0.18 | 97.8 ± 0.17 | 97.6 ± 0.15 | 97.5 ± 0.14 | 97.6 ± 0.15 |