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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