Comparison of performance between DeepIRES and other deep learning models with different model architectures on imbalanced testing data.
| Model . | Sn (%) . | Sp (%) . | ACC (%) . | MCC . | F1-score . | AUROC . |
|---|---|---|---|---|---|---|
| CNN | 44.23 | 85.21 | 64.72 | 0.2331 | 0.3220 | 0.7496 |
| CNN-GRU | 53.49 | 84.12 | 68.80 | 0.2865 | 0.3651 | 0.7760 |
| CNN-GRU-ATT | 71.64 | 79.73 | 75.68 | 0.3572 | 0.4098 | 0.8470 |
| DeepIRES | 72.12 | 81.93 | 77.02 | 0.3865 | 0.4366 | 0.8582 |
| Model . | Sn (%) . | Sp (%) . | ACC (%) . | MCC . | F1-score . | AUROC . |
|---|---|---|---|---|---|---|
| CNN | 44.23 | 85.21 | 64.72 | 0.2331 | 0.3220 | 0.7496 |
| CNN-GRU | 53.49 | 84.12 | 68.80 | 0.2865 | 0.3651 | 0.7760 |
| CNN-GRU-ATT | 71.64 | 79.73 | 75.68 | 0.3572 | 0.4098 | 0.8470 |
| DeepIRES | 72.12 | 81.93 | 77.02 | 0.3865 | 0.4366 | 0.8582 |
Comparison of performance between DeepIRES and other deep learning models with different model architectures on imbalanced testing data.
| Model . | Sn (%) . | Sp (%) . | ACC (%) . | MCC . | F1-score . | AUROC . |
|---|---|---|---|---|---|---|
| CNN | 44.23 | 85.21 | 64.72 | 0.2331 | 0.3220 | 0.7496 |
| CNN-GRU | 53.49 | 84.12 | 68.80 | 0.2865 | 0.3651 | 0.7760 |
| CNN-GRU-ATT | 71.64 | 79.73 | 75.68 | 0.3572 | 0.4098 | 0.8470 |
| DeepIRES | 72.12 | 81.93 | 77.02 | 0.3865 | 0.4366 | 0.8582 |
| Model . | Sn (%) . | Sp (%) . | ACC (%) . | MCC . | F1-score . | AUROC . |
|---|---|---|---|---|---|---|
| CNN | 44.23 | 85.21 | 64.72 | 0.2331 | 0.3220 | 0.7496 |
| CNN-GRU | 53.49 | 84.12 | 68.80 | 0.2865 | 0.3651 | 0.7760 |
| CNN-GRU-ATT | 71.64 | 79.73 | 75.68 | 0.3572 | 0.4098 | 0.8470 |
| DeepIRES | 72.12 | 81.93 | 77.02 | 0.3865 | 0.4366 | 0.8582 |
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