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Table 3 Performance of the SVM using different feature subsets selected by mRMR

From: BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection

Feature subset Sensitivity
(%)
Specificity
(%)
MCC Test Accuracy (%) CV Accuracy
100 features 65.96 84.21 0.5134 76.44 78.33
200 features 65.25 84.74 0.5132 76.44 78.5
300 features 65.96 83.68 0.5072 76.13 78.5
400 features 65.96 83.68 0.5072 76.13 78.33
500 features 65.96 83.68 0.5072 76.13 78.5
All features 63.12 78.19 0.4182 71.73 75.16
  1. MCC - Matthew's correlation coefficient, CV-Cross validation