Table 10.
Best performance of PLM models on the validation dataset, models were fine-tuned on the training dataset.
| Model name | Sensitivity | Specificity | Accuracy | AUC | MCC |
|---|---|---|---|---|---|
| ProtBERT | 0.81 | 0.58 | 0.73 | 0.71 | 0.40 |
| BioBERT | 0.69 | 0.58 | 0.65 | 0.67 | 0.26 |
Best performance of PLM models on the validation dataset, models were fine-tuned on the training dataset.
| Model name | Sensitivity | Specificity | Accuracy | AUC | MCC |
|---|---|---|---|---|---|
| ProtBERT | 0.81 | 0.58 | 0.73 | 0.71 | 0.40 |
| BioBERT | 0.69 | 0.58 | 0.65 | 0.67 | 0.26 |