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Table 6 Five-fold cross-validation results of the models trained with the combination of hybrid features obtaining best predictive performance in training datasets

From: Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features

Residue

Classifier

Hybrid features

Sn

Sp

Acc

MCC

K

SVM

PWM + AAC + AAindex

0.796

0.767

0.771

0.432

R

SVM

PWM + AAindex + AAPC

0.782

0.798

0.795

0.472

T

SVM

PWM + AAindex

0.750

0.795

0.788

0.443

P

RF

PWM + AAC + AAindex

0.787

0.777

0.779

0.467