Table 2.
Performance of classifiers trained to predict O-linked glycosylation sites
| Performance Measure | SingleSVM | EnsembleSVM | BalancedSVM |
| Accuracy | 0.88 | 0.89 | 0.85 |
| MCC | 0.55 | 0.59 | 0.57 |
| Sensitivity | 0.55 | 0.68 | 0.80 |
| Specificity | 0.67 | 0.64 | 0.53 |
| F-Measure | 0.61 | 0.66 | 0.64 |
| AUC | 0.88 | 0.91 | 0.90 |
Results obtained for O-linked glycosylation using single SVM from unbalanced data (singleSVM), ensemble of SVMs (EnsembleSVM), and single SVM from balanced data (BalancedSVM) for the classification threshold θ = 0.5 on the output probability of the classifier. The classifiers are trained on information derived from the target amino acid residue and its sequence neighbors.