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Table 5 Performance rates for RF with two alternative ROC cutoffs

From: A machine learning approach for predicting methionine oxidation sites

Feature set Accuracy Sensitivity Specificity F-measure MCC
Alternative cutoff: 0.392
Primary (52) 0.5969 0.8125 0.5664 0.3333 0.2500
Tertiary (24) 0.6357 0.8750 0.6018 0.3733 0.3155
Whole (76) 0.7597 0.8125 0.7522 0.4561 0.3998
mRMR (54) 0.7597 0.7500 0.7611 0.4364 0.3668
Standard cutoff: 0.5
Primary (52) 0.8062 0.1875 0.8938 0.1935 0.0836
Tertiary (24) 0.7907 0.5625 0.8230 0.4000 0.3044
Whole (76) 0.8372 0.5625 0.8761 0.4615 0.3777
mRMR (54) 0.8372 0.6250 0.8673 0.4878 0.4105