Table 4.
Performance analysis of pretrained models on GIT classification.
| Model name | Top_1 ACC (%) | Top_5 ACC (%) | Recall (%) | Precision (%) | F1-measure (%) | Kappa score |
|---|---|---|---|---|---|---|
| VGG16 | 96.33 | 100 | 96.37 | 96.50 | 96.50 | 0.96 |
| GoogLeNet | 90.27 | 100 | 90.33 | 90.27 | 90.37 | 0.89 |
| ResNet-18 | 78.77 | 99.99 | 78.91 | 78.77 | 78.75 | 0.75 |