Table 12 Comparison of our proposed model with existing state-of-the-art models.
Classifiers | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|
GRUATT-AVP | 0.948 | 0.956 | 0.942 | 0.949 |
Deep-AVPiden22 | 0.898 | 0.902 | 0.900 | 0.901 |
iACVP8 | 0.658 | 0.773 | 0.465 | 0.581 |
AVPIden6 | 0.599 | 0.572 | 0.737 | 0.644 |
Meta-iAVP9 | 0.576 | 0.587 | 0.587 | 0.587 |
DeepAVP13 | 0.530 | 0.539 | 0.589 | 0.563 |
iAMP-CA2L14 | 0.523 | 0.888 | 0.662 | 0.759 |
PreTP-Stack10 | 0.520 | 0.547 | 0.388 | 0.454 |
ENNAVIA17 | 0.512 | 0.557 | 0.515 | 0.535 |