Table 2.
The performance of SVM modules developed for discriminating aaRSs and non-aaRSs.
S. No. | Name of Approach | Sensitivity | Specificity | Accuracy | MCC |
---|---|---|---|---|---|
1 | Domain-based model | 61.41 | 90.65 | 76.08 | 0.54 |
2 | Amino acid Composition | 74.38 | 82.97 | 78.63 | 0.6 |
3 | Dipeptide composition | 87.14 | 80.15 | 83.74 | 0.68 |
4 | Hybrid approach1* | 80.36 | 79.64 | 79.93 | 0.6 |
5 | Hybrid approach2** | 83.73 | 87.1 | 85.49 | 0.72 |
* Hybrid approach1 SVM model based on amino acid composition domain features
**Hybrid approach2 SVM model based on selected dipeptide composition and domain features