Model | Accuracy | Precision | Recall | Specificity | F1-score |
---|---|---|---|---|---|
Resnet-101-8249 | 0.8249 | 0.8436 | 0.8983 | 0.6867 | 0.8701 |
Resnet-101-8184 | 0.8184 | 0.8624 | 0.8589 | 0.7423 | 0.8607 |
Resnet-101-8452 | 0.8452 | 0.8582 | 0.9139 | 0.716 | 0.8852 |
Resnet-101-8125 | 0.8125 | 0.8376 | 0.8843 | 0.6775 | 0.8603 |
Resnet-101-8061 | 0.8061 | 0.8562 | 0.845 | 0.733 | 0.8505 |
Resnet-101-8281 | 0.8281 | 0.8376 | 0.9139 | 0.6667 | 0.8741 |
Resnet-101-8307 | 0.8307 | 0.8536 | 0.8942 | 0.7114 | 0.8734 |
Resnet-101-8002 | 0.8002 | 0.8473 | 0.8466 | 0.7130 | 0.8469 |
Resnet-101-8216 | 0.8216 | 0.8377 | 0.9016 | 0.6713 | 0.8684 |
Resnet101-9 ensemble | 0.8511 | 0.8633 | 0.9171 | 0.7269 | 0.8894 |