Predicting engineering students' academic performance using ensemble classifiers- a preliminary finding / A’zraa Afhzan Ab Rahim and Norlida Buniyamin

• Main Authors: Ab Rahim, A’zraa Afhzan, Buniyamin, Norlida
• Format: Article
• Language: English
• Published: UiTM Press 2022
• Subjects: Performance. Competence. Academic achievement; Prediction analysis
• Online Access: https://ir.uitm.edu.my/id/eprint/63176/1/63176.pdf; https://doi.org/10.24191/jeesr.v20i1.013; https://ir.uitm.edu.my/id/eprint/63176/; https://jeesr.uitm.edu.my/v1/; https://doi.org/10.24191/jeesr.v20i1.013

Current literature review indicates a void of an accurate predictive tool to assist educators and administrators in analyzing and monitoring student performance in Malaysia. Wellknown data mining classifiers such as Decision Tree (DT), Support Vector Machine (SVM), Logistic Regression (LR), Naïve Ba...