Research Article
Prediction of S-Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm
Table 2
Performances of six algorithms on the training set with the respective optimal features using 10-fold cross validation.
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KSRC: kernel sparse representation classification; SRC: sparse representation classification; KNN: -nearest neighbor algorithm; RF: random forest method; SMO: sequential minimal optimization; Dagging refers to the use of majority vote to combine multiple models derived from a single learning algorithm using disjoint samples. |