… , and crop productions prediction and in various other fields. The main aim of this study is …
prediction of students’ performance using various machine learning algorithms and ensemble …

… enhances the accuracy of prior student performance prediction by identifying and providing
an … robust machine learning ensemble models, we propose and evaluate a prediction model. …

… ensemble model to predict and analyze student performance … These studies have confirmed
that the ensemble model is … done to predict students’ academic performance in traditional …

… a student performance prediction model that predicts the performance of high school students
… In this study, we are building a machine learning model that predicts the performance by …

… ensemble classification which combines prediction of a number base classifier trained by
various machine … student performance is made by an ensemble of heterogeneous classifiers. …

… students' performance prediction model for higher education institution by identifying features
of students’ … machine learning techniques by training the data, applying base learning and …

… problem to predict student academic performance with demographic, social, school-related
fea… three challenges in the problem, (1) the predictions are highly dependent on the students’ …

… to predict student outcomes in this paper. The impact of a student's learning behavioral
characteristics on academic … Vector Machine (SVM) as classifiers. To improve the accuracy of the …

… [19] proposed a technique named the combinational incremental ensemble of classifiers
for student performance prediction. In the proposed technique, three classifiers are combined …

… techniques to predict student performance and analyzed the … a student predictive model with
the use of ensemble classifiers. … use of Machine Learning, as a tool to help school managers …