A Weighted Voting Classifier Based on Differential Evolution

Table 2

Comparison of 4 single methods.

Dataset	C4.5	Naive Bayes	Bayes Nets	k-NN
Breast-cancer	0.755	0.717	0.720	0.724
Contact-lenses	0.833	0.708	0.708	0.792
Credit-g	0.705	0.754	0.755	0.720
Diabetes	0.738	0.743	0.763	0.702
Ionosphere	0.915	0.826	0.895	0.863
Iris	0.960	0.960	0.927	0.953
Iris.2D	0.960	0.960	0.947	0.960
Glass	0.668	0.486	0.706	0.706
Labor	0.737	0.895	0.877	0.825
Segment-challenge	0.957	0.811	0.904	0.962
Soybean	0.915	0.930	0.933	0.912
Supermarket	0.637	0.637	0.637	0.371
Unbalanced	0.986	0.908	0.986	0.977
Vote	0.963	0.901	0.901	0.924
Weather.numeric	0.643	0.643	0.571	0.786