Table 3.

Comparison of accuracy (%) of four classifiers for three partition protocols

Classifier types	Protocol types
	K2	K5	K10
NB	86.42	86.61	86.70
DT	89.90	89.97	89.65
AB	91.32	92.72	92.93
RF	93.12	94.15	94.25

Bold values indicate the proposed method results

NB naïve Bayes, DT decision tree, AB adaboost, RF random forest, ACC accuracy, K2 twofold cross-validation protocol, K5 fivefold cross-validation protocol, K10 tenfold cross-validation protocol