Table 3.
Classification result.
| ImageNet Pretrained | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|
| ResNet50 | 98.74% | 95.93% | 97.32% | 97.38% |
| RANet | 99.58% | 96.75% | 98.14% | 98.19% |
| RANet + ELM | 100% | 98.37% | 99.18% | 99.19% |
| RANet + PCA + ELM | 100% | 99.18% | 99.59% | 99.59% |
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