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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
UiTM Press
2025
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| Subjects: | |
| 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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