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Table 1 Performance of the SVM using different feature subsets selected by ReliefF

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

Feature subset Sensitivity
(%)
Specificity
(%)
MCC Test Accuracy (%) CV Accuracy
75 features 69.50 77.13 0.4663 73.86 77.16
100 features 74.47 84.21 0.5904 80.06 80.00
200 features 68.09 81.58 0.5022 75.83 78.00
300 features 67.38 82.11 0.5017 75.83 78.67
400 features 64.54 86.32 0.5260 77.04 78.00
500 features 65.96 85.79 0.5323 77.34 78.00
All features 63.12 78.19 0.4182 71.73 75.16
  1. MCC - Matthew's correlation coefficient, CV-Cross validation