Table 3.
The performance of SVM modules developed for discriminating class-1 and class-2 aaRSs.
S. No. | Name of Approach | Sensitivity | Specificity | Accuracy | MCC |
---|---|---|---|---|---|
1 | Domain-based model | 100 | 53.85 | 74.64 | 0.56 |
2 | Amino acid composition | 68 | 64.62 | 66.09 | 0.33 |
3 | Dipeptide composition | 85.27 | 92.31 | 88.99 | 0.79 |
4 | Hybrid approach1* | 81.09 | 83.08 | 82.18 | 0.65 |
5 | Hybrid approach2** | 94.55 | 92.31 | 93.19 | 0.87 |
* Hybrid approach1 SVM model based on amino acid composition domain features
** Hybrid approach2 SVM model based on selected dipeptide composition and domain features