An investigation into student performance prediction using regularized logistic regression
The problem of university dropout poses a significant challenge to education systems worldwide, affecting administrators, teachers, and students. Early identification and intervention strategies are crucial for addressing this issue. In addition, advances in machine learning have paved the way for m...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41898/1/An%20investigation%20into%20student%20performance%20prediction.pdf http://umpir.ump.edu.my/id/eprint/41898/2/An%20investigation%20into%20student%20performance%20prediction%20using%20regularized%20logistic%20regression_ABS.pdf http://umpir.ump.edu.my/id/eprint/41898/ https://doi.org/10.1109/ICCED60214.2023.10425782 |
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Internet
http://umpir.ump.edu.my/id/eprint/41898/1/An%20investigation%20into%20student%20performance%20prediction.pdfhttp://umpir.ump.edu.my/id/eprint/41898/2/An%20investigation%20into%20student%20performance%20prediction%20using%20regularized%20logistic%20regression_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41898/
https://doi.org/10.1109/ICCED60214.2023.10425782