Table 11.

Overall performance evaluation of ensemble classifiers for the holdout method.

Overall Accuracy Rate
Holdout
Ensemble Method	SVM	RF	p-Value
Bagging	98.54%	97.18%	0.028
Adaboost	98.43%	98.07%	0.686
Rotation forest	98.07%	98.03%	0.893
END	98.61%	98.03%	0.028
Random subspace	98.74%	97.86%	0.028