Table 2.

Performance Comparison of Different Classifiers for Identifying m7G Sites by the 10-Fold Cross-Validation Test

Classifiers	Sn (%)	Sp (%)	Acc (%)	MCC
Naive Bayes	72.47	87.85	80.16	0.61
Random Forest	83.27	89.88	86.57	0.73
LogitBoost	81.38	86.23	83.81	0.68
BayesNet	77.19	87.04	82.12	0.65
SVM	88.66	90.96	89.81	0.80

Sn, sensitivity; Sp, specificity; Acc, accuracy; MCC, Mathew’s correlation coefficient; SVM, support vector machine.