Table 2.

The prediction performances of various machine learning methods.

Machine learning methods	Sn (%)	Sp (%)	Acc (%)	MCC
Support vector machine	88.46	85.58	87.02	0.74
Naive Bayes	83.70	82.70	83.20	0.66
Logistic Function	76.90	86.50	81.70	0.64
Random Forest	73.10	82.70	77.90	0.56
LibD3C	78.72	73.68	75.96	0.52
Decision Tree J48	48.10	74.00	61.05	0.23