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Table 3 Prediction performance of self-consistency, 5-fold cross validation and 10-fold cross-validation tests on the training set.

From: Predicting sumoylation sites using support vector machines based on various sequence features, conformational flexibility and disorder

Evaluation Method Accuracy Specificity Sensitivity MCC
Self Consistency 0.97 0.98 0.76 0.68
5-fold Cross-validation 0.97 0.98 0.73 0.66
10-fold Cross-validation 0.97 0.98 0.73 0.66
Regular Expressions 0.96 0.97 0.72 0.58
  1. An average of 25 repeats are reported for 5-fold and 10-fold cross validation tests. Standard deviations were less than 0.01, so they were not reported. Regular expressions scan is done by searching [IVLMAP]K.[DE] pattern in the sequence window centering the lysine residue.