Research Article

Prediction of S-Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm

Table 3

Performances of six algorithms on the testing set with the respective optimal features.

ā€‰ SN SP ACC MCC

KSRC0.4727 0.8077 0.6978 0.2919
SRC0.2909 0.7988 0.6322 0.1000
KNN0.4061 0.7899 0.6649 0.2062
RF0.3636 0.8343 0.6799 0.2206
SMO0.23640.86690.66000.1299
Dagging0.28480.83430.65410.1386