Table 2.

Classifiers accuracy for the different classification methods of each attribute selection method.

Attribute selection	Classifiers	Correctly classified instances	Incorrectly classified instances	Kappa statistic
Cfs	Decision tree (J48)	97.23%	2.78%	0.88
	k-Nearest Neighbors (IBk)	97.76%	2.24%	0.91
	Multilayer Perceptron (NNs)	96.68%	3.32%	0.86
Filter	Decision tree (J48)	97.21%	2.78%	0.88
	k-Nearest Neighbors (IBk)	97.49%	2.51%	0.90
	Multilayer Perceptron (NNs)	97.39%	2.60%	0.89
Wrapper	Decision tree (J48)	85.11%	14.89%	0
	k-Nearest Neighbors (IBk)	85.11%	14.89%	0
	Multilayer Perceptron (NNs)	85.11%	14.89%	0

Bold values indicates the best True Positive Rate and their kappa statistics.