EMT: Ensemble Meta-Based Tree Model for Predicting Student Performance

Table 6

Voting between boosted J48 and tree family algorithms.

Techniques	Algorithm name	Dataset
		Accuracy	F-measure	ROC area
Combination of classifiers	BFTree + Adaboost_J48	0.950	0.950	0.996
	CDT + Adaboost_J48	0.973	0.972	0.996
	ForestPA + Adaboost_J48	0.980	0.980	0.997
	LADTree + Adaboost_J48	0.983	0.982	0.997
	LMT + Adaboost_J48	0.983	0.982	0.998
	NBTree + Adaboost_J48	0.985	0.985	0.998
	RandomForest + Adaboost_J48	0.980	0.980	0.997

+ means using voting method of the bagging technique.