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Table 3 Performance of methylation status prediction using different classifiers

From: Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements

Classifier Accuracy (%) AUC Specificity (%) Sensitivity (%) MCC
k-NN 73.2 0.80 72.6 73.7 0.46
Naive Bayes 80.8 0.91 64.4 94.2 0.62
Logistic regression 91.1 0.96 87.3 94.1 0.82
SVM 91.3 0.96 86.6 95.1 0.82
Random forest 91.8 0.96 87.9 95.1 0.84
  1. AUC, area under the receiver operating characteristic curve; k-NN, k-nearest neighbors classifier; MCC, Matthew’s correlation coefficient; SVM, support vector machine.