TABLE 3.
Classification results for the Top-1 evaluation of predictions.
| ResNet50 base model | VGG16 base model | Xception base model | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Class | Precision | Recall | F1-Score | Precision | Recall | F1-Score | Precision | Recall | F1-Score |
| Dead | 0.93 | 0.88 | 0.90 | 0.68 | 0.81 | 0.74 | 0.17 | 1 | 0.29 |
| Normal | 0.77 | 0.91 | 0.83 | 0.80 | 0.73 | 0.76 | 0.00 | 0.00 | 0.00 |
| Blood stasis | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| Necrosed_Yolk_Sac | 0.38 | 0.64 | 0.47 | 0.32 | 0.29 | 0.30 | 0.00 | 0.00 | 0.00 |
| Edema | 0.33 | 0.22 | 0.27 | 0.31 | 0.48 | 0.38 | 0.00 | 0.00 | 0.00 |
| Average | 0.48 | 0.53 | 0.50 | 0.42 | 0.46 | 0.44 | 0.03 | 0.20 | 0.06 |
| Accuracy | 0.50 | 0.44 | 0.17 | ||||||
Bold values in the tables indicate the best performance.