Table 5 SVM-based prediction performances for four different types of prediction methods using equal positive and negative instances
Prediction | Binary approach | PSSM approach | ||||||
|---|---|---|---|---|---|---|---|---|
| Â | Sensitivity | Specificity | Accuracy | MCC | Sensitivity | Specificity | Accuracy | MCC |
VIRs | 65.98 ± 0.85 | 65.85 ± 0.52 | 65.91 ± 0.60 | 0.32 ± 0.01 | 75.80 ± 0.35 | 77.07 ± 0.69 | 76.43 ± 0.47 | 0.53 ± 0.01 |
VAIRs | 62.09 ± 2.01 | 61.87 ± 2.92 | 61.99 ± 1.30 | 0.24 ± 0.03 | 73.25 ± 2.43 | 73.83 ± 0.95 | 73.54 ± 1.47 | 0.47 ± 0.03 |
VBIRs | 68.55 ± 0.75 | 68.37 ± 0.83 | 68.47 ± 0.44 | 0.37 ± 0.01 | 80.08 ± 0.61 | 82.49 ± 0.79 | 81.29 ± 0.23 | 0.63 ± 0.01 |
PLPIRs | 76.74 ± 1.73 | 74.91 ± 1.42 | 75.82 ± 1.32 | 0.52 ± 0.03 | 89.85 ± 0.87 | 89.85 ± 1.16 | 89.84 ± 0.70 | 0.80 ± 0.01 |