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

Table 5

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

	SN	SP	ACC	MCC
KSRC	0.5196	0.7368	0.6915	0.2239
SRC	0.5588	0.7419	0.7038	0.2617
KNN	0.4069	0.7419	0.6721	0.1333
RF	0.4657	0.7535	0.6936	0.1958
SMO	0.1765	0.8645	0.7211	0.0474
Dagging	0.2745	0.7884	0.6813	0.0612
iSNO-AAPair	0.4020	0.7252	0.6578	0.1125
iSNO-PseAAC	0.5343	0.6103	0.5945	0.1190