An ensemble-based decision support system for the students’ academic performance prediction

Abstract

Students’ academic performance analysis and prediction activities enable the educators to prevent their students from failure by providing necessary support and counseling. With this necessity, an analysis-based Decision Support System (DSS) is proposed for the prediction of the students’ performance using ensemble methods. Nowadays ensemble methods becoming more popular in classification and prediction. In ensemble-based methods, a set of classifiers are used to construct a single composite classifier and the decisions of the individual classifiers are combined using some combination rules to classify the new instances. We proposed an ensemble-based Decision Support System (DSS) for the prediction of students’ performance particularly in the engineering discipline.