Table 5.

Average performance of the classifiers using UCI public dataset

Methods	Measures	Classifiers
		DT	NB	RF	SVM
Relief-F	Precision	88.93%	89.44%	91.24%	92.41%
	Recall	89.16%	89.67%	91.47%	92.88%
	F-score	89.04%	90.06%	91.35%	92.64%
	Accuracy	90.86%	91.57%	93.57%	94.23%
GRF	Precision	92.41%	93.62%	93.72%	95.38%
	Recall	92.65%	93.74%	93.77%	95.71%
	F-score	92.53%	93.68%	93.74%	95.54%
	Accuracy	94.44%	94.98%	95.48%	96.83%
GRRF	Precision	94.17%	95.27%	97.28%	97.90%
	Recall	94.35%	95.39%	97.37%	98.00%
	F-score	94.26%	95.33%	97.32%	97.93%
	Accuracy	95.74%	97.54%	98.79%	99.30%