An investigation into student performance prediction using regularized logistic regression

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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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Bibliographic Details
Main Authors:	Kurniadi, Felix Indra, Dewi, Meta Amalya, Murad, Dina Fitria, Rabiha, Sucianna Ghadati, Awanis, Romli
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/41898/ 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

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