Table 3.
Performance comparison with individual and combined feature encoding schemes for pS site prediction on the independent dataset
| Attributes | Methods | Accuracy (%) | Sensitivity (%) | Specificity (%) | Precision (%) | F-measure (%) | MCC | AUC |
|---|---|---|---|---|---|---|---|---|
| Physiochemical property | RF | 71.5 | 79 | 62.3 | 72.1 | 75.4 | 0.42 | 0.74 |
| SVM | 64.31 | 79.9 | 45.0 | 64.2 | 71.2 | 0.26 | 0.62 | |
| Structure | RF | 87.34 | 86.5 | 80.6 | 90.2 | 88.3 | 0.74 | 0.94 |
| SVM | 70.12 | 96.4 | 37.7 | 65.6 | 78.1 | 0.43 | 0.67 | |
| Sequence | RF | 70.3 | 80.1 | 58.2 | 70.3 | 74.9 | 0.39 | 0.73 |
| SVM | 77.65 | 99.1 | 51.2 | 77.5 | 83.1 | 0.59 | 0.75 | |
| Functional features | RF | 62.87 | 93.9 | 24.6 | 60.6 | 73.6 | 0.26 | 0.59 |
| SVM | 62.58 | 93.4 | 24.6 | 60.5 | 73.4 | 0.25 | 0.59 | |
| Functional annotation | RF | 62.75 | 90.7 | 28.2 | 60.9 | 72.9 | 0.24 | 0.60 |
| SVM | 62.50 | 93.6 | 24.1 | 60.4 | 73.4 | 0.25 | 0.58 | |
| Combined | RF | 89.16 | 89.4 | 88.9 | 90.8 | 90.1 | 0.78 | 0.95 |
| SVM | 88.50 | 79.9 | 99.1 | 99.1 | 88.5 | 0.79 | 0.89 |
Performance metrics for best results are highlighted in bold