[Retracted] Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques

Table 4

Classification techniques results using proposed method in DS2.

Techniques	Classifier	Accuracy	Precision	Recall	-measure
Classical classification	DT	90.38%	0.905	0.904	0.903
	ANN	83.54%	0.835	0.835	0.835
	NB	84.05%	0.845	0.843	0.841
Boosting+2Algorithms	DT+MLP	90.13%	0.901	0.901	0.901
	MLP+NB	87.59%	0.876	0.876	0.876
	NB+DT	91.14%	0.913	0.911	0.911
Bagging+2Algorithms	DT+MLP	90.38%	0.905	0.904	0.904
	MLP+NB	88.10%	0.881	0.882	0.882
	NB+DT	90.63%	0.908	0.907	0.907