IEEE

Support Vector Machine and Boosted Regression Tree as Effective Data Mining Tools for Predicting Students’ Academic Performance

Abstract: This paper reports the application of data mining techniques; Support Vector Regression (SVR) and Boosted Regression Tree (BRT) in prediction of students’ academic performance in schools.
IEEE

A Deep Learning Regression Model for Predicting Students’ Performance with Shapley Additive Explanations-based Interpretability

Abstract: Predicting student performance is crucial for identifying at-risk students, guiding educational interventions, and improving student outcomes. In this study, we developed a deep learning ...