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Performance of classifiers trained to predict C-linked glycosylation sites |
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| Performance Measure |
SingleSVM |
EnsembleSVM |
BalancedSVM |
|
|
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| Accuracy |
0.83 |
0.83 |
0.83 |
| MCC |
0.63 |
0.63 |
0.63 |
| Sensitivity |
0.74 |
0.79 |
0.77 |
| Specificity |
0.80 |
0.77 |
0.78 |
| F-Measure |
0.77 |
0.78 |
0.77 |
| AUC |
0.88 |
0.91 |
0.89 |
|
Results obtained for C-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. | |||
Caragea et al. BMC Bioinformatics 2007 8:438 doi:10.1186/1471-2105-8-438 |
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