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 |
| KSRC | 0.4727 | 0.8077 | 0.6978 | 0.2919 | SRC | 0.2909 | 0.7988 | 0.6322 | 0.1000 | KNN | 0.4061 | 0.7899 | 0.6649 | 0.2062 | RF | 0.3636 | 0.8343 | 0.6799 | 0.2206 | SMO | 0.2364 | 0.8669 | 0.6600 | 0.1299 | Dagging | 0.2848 | 0.8343 | 0.6541 | 0.1386 |
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