Research Article
BERT-PPII: The Polyproline Type II Helix Structure Prediction Model Based on BERT and Multichannel CNN
Table 4
The comparative experiments on balanced Strict_data dataset.
| Methods | Sens | Spec | MCC | ACC | AUC |
| ANN [25] | 0.749 | 0.736 | 0.485 | 0.742 | 0.742 | SVM [26] | 0.673 | 0.841 | 0.493 | 0.744 | 0.822 | RF | 0.738 | 0.841 | 0.554 | 0.776 | 0.776 | KNN | 0.558 | 0.739 | 0.302 | 0.648 | 0.648 | FAD-BERT [19] | 0.660 | 0.821 | 0.492 | 0.741 | 0.752 | EECL [10] | 0.765 | 0.776 | 0.540 | 0.770 | 0.770 | Adapt_Kcr [40] | 0.792 | 0.767 | 0.559 | 0.779 | 0.855 | BERT4Bitter [20] | 0.661 | 0.825 | 0.493 | 0.744 | 0.762 | OUR | 0.661 | 0.838 | 0.198 | 0.834 | 0.826 |
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