Table 4.
Transfer Learning Type | CNN | Batch Size | Accuracy | Precision | Recall | F1-Score | Time (Min) |
---|---|---|---|---|---|---|---|
Fine-Tuning | Resnet18 | 16 | 0.8517 | 0.98 | 0.60 | 0.75 | 12.7 |
32 | 0.8467 | 0.96 | 0.59 | 0.73 | 12.7 | ||
Resnet50 | 16 | 0.8628 | 0.99 | 0.63 | 0.77 | 17.2 | |
32 | 0.8576 | 0.99 | 0.61 | 0.75 | 17.2 | ||
Fixed Feature Extraction | Resnet18 | 16 | 0.7849 | 0.84 | 0.48 | 0.61 | 12.5 |
32 | 0.7849 | 0.86 | 0.44 | 0.58 | 12.7 | ||
Resnet50 | 16 | 0.7878 | 0.88 | 0.45 | 0.59 | 12.7 | |
32 | 0.7878 | 0.90 | 0.43 | 0.58 | 12.7 |