Table 5.
Model | Classification Pipeline | Precision | Recall | F1-Score | Accuracy |
---|---|---|---|---|---|
Neural Net | No CG | 0.806 | 0.763 | 0.784 | 0.787 |
Efficientnet-B1 | No CG | 0.847 | 0.787 | 0.816 | 0.820 |
Resnet50 + Random Forest | CG | 0.825 | 0.893 | 0.858 | 0.850 |
The highest value for each metric is in bold.