Research Article
i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning
Table 3
The contrast of performance for dissimilar classifiers under 10-fold crossvalidation.
| Classifiers | ACC | MCC | Sn | Sp |
| BayesNet | 0.727 | 0.453 | 0.739 | 0.714 | NaiveBayes | 0.752 | 0.504 | 0.751 | 0.753 | SGD | 0.712 | 0.424 | 0.710 | 0.713 | SimpleLogistic | 0.761 | 0.522 | 0.753 | 0.768 | SMO | 0.702 | 0.405 | 0.706 | 0.698 | IBk | 0.637 | 0.276 | 0.584 | 0.690 | JRip | 0.707 | 0.414 | 0.692 | 0.723 | J48 | 0.665 | 0.330 | 0.674 | 0.655 | RandomForest | 0.770 | 0.541 | 0.753 | 0.787 | AdaBoostM1 | 0.713 | 0.427 | 0.739 | 0.688 | Bagging | 0.729 | 0.459 | 0.744 | 0.714 | Our method | 0.803 | 0.606 | 0.784 | 0.822 |
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