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

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...

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Bibliographic Details
Main Authors: Ab Rahim, A’zraa Afhzan, Buniyamin, Norlida
Format: Article
Language:English
Published: UiTM Press 2022
Subjects:
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
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