Table 2 Summary of performance measure... | Emerald Publishing

Table 2

Summary of performance measure of the classification using cross-validation and percentage split (80:20) methods

Method	F-measure	MCC	AOC RUC	PR AUC	Accuracy
Random forest (cross-validation)	0.983	0.9654	0.999	0.999	98.3055
Naïve Bayes (cross-validation)	0.8954	0.789	0.9564	0.9564	89.58324
KNN (cross-validation)	0.9792	0.9582	0.9866	0.9836	97.91668
J48 (cross-validation)	0.9674	0.9344	0.9688	0.9582	96.75006
Random forest (split method)	0.979	0.9582	0.9992	0.9992	97.91668
Naïve Bayes (split method)	0.916	0.835	0.9702	0.9698	91.66666
KNN (split method)	0.979	0.9584	0.9874	0.9836	97.91668
J48 (split method)	0.9552	0.9112	0.9576	0.9452	95.55556

Method	F-measure	MCC	AOC RUC	PR AUC	Accuracy
Random forest (cross-validation)	0.983	0.9654	0.999	0.999	98.3055
Naïve Bayes (cross-validation)	0.8954	0.789	0.9564	0.9564	89.58324
KNN (cross-validation)	0.9792	0.9582	0.9866	0.9836	97.91668
J48 (cross-validation)	0.9674	0.9344	0.9688	0.9582	96.75006
Random forest (split method)	0.979	0.9582	0.9992	0.9992	97.91668
Naïve Bayes (split method)	0.916	0.835	0.9702	0.9698	91.66666
KNN (split method)	0.979	0.9584	0.9874	0.9836	97.91668
J48 (split method)	0.9552	0.9112	0.9576	0.9452	95.55556