Impact of optimizer on the MLP-based models for student performance classification

Effectively predicting student academic performance is a critical challenge in engineering education, where enhancing the performance and generalization of machine learning models can significantly aid early intervention strategies, which are crucial for engineering students as they help identify an...

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Bibliographic Details

Main Authors:	Osman, Fairul Nazmie, Abdul Aziz, Mohd Azri, Mohd Yassin, Ihsan, Taib, Mohd Nasir
Format:	Article
Language:	en
Published:	UiTM Press 2025
Subjects:	Performance. Competence. Academic achievement Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/126331/1/126331.pdf https://ir.uitm.edu.my/id/eprint/126331/ https://jeesr.uitm.edu.my
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