Table 4.
Performance comparison with individual and combined feature encoding schemes for pT site prediction on the independent dataset
| Attributes | Methods | Accuracy (%) | Sensitivity (%) | Specificity (%) | Precision (%) | F-measure (%) | MCC | AUC |
|---|---|---|---|---|---|---|---|---|
| Physiochemical property | RF | 77.54 | 92.1 | 47.1 | 78.5 | 84.7 | 0.45 | 0.76 |
| SVM | 67.05 | 77.7 | 55.9 | 64.9 | 70.7 | 0.34 | 0.66 | |
| Structure | RF | 89.58 | 94.8 | 78.8 | 90.3 | 92.5 | 0.75 | 0.96 |
| SVM | 77.66 | 99 | 33 | 75.6 | 85.7 | 0.47 | 0.66 | |
| Sequence | RF | 71.79 | 86 | 42.1 | 75.7 | 80.5 | 0.31 | 0.69 |
| SVM | 73.74 | 94.4 | 69.5 | 70.3 | 79.9 | 0.16 | 0.57 | |
| Functional features | RF | 72.75 | 92.1 | 32.3 | 74.0 | 82.1 | 0.31 | 0.63 |
| SVM | 72.43 | 93.0 | 29.3 | 73.4 | 82.0 | 0.29 | 0.61 | |
| Functional annotation | RF | 68.5 | 92.6 | 18.1 | 70.3 | 79.9 | 0.16 | 0.57 |
| SVM | 68.34 | 92.3 | 31.7 | 70.3 | 79.8 | 0.15 | 0.55 | |
| Combined | RF | 90.28 | 97.8 | 74.4 | 88.9 | 93.2 | 0.77 | 0.97 |
| SVM | 73.96 | 100 | 19.4 | 72.2 | 83.9 | 0.37 | 0.59 |
Performance metrics for best results are highlighted in bold