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All Journal Proceeding of The International Conference on Management, Entrepreneurship, and Business
Weishen Wu
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Decision Sciences, Operations Research & Management

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Balancing Time and Success: A Machine Learning Model for GPA Prediction Huy Hoang Doan; Weishen Wu
Proceeding of the International Conference on Management, Entrepreneurship, and Business Vol. 1 No. 1 (2024): June : Proceeding of the International Conference on Management, Entrepreneursh
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/icmeb.v1i1.105

Abstract

This study explores the application of machine learning to predict students' GPA based on behavioral and time-related factors, including study hours, extracurricular activities, sleep, social interactions, and physical activity. Seven regression algorithms were employed to evaluate predictive accuracy using metrics such as MAE, RMSE, and R2 Among these, Regularized Linear Regression demonstrated the highest accuracy and interpretability, highlighting its suitability for this dataset. The findings emphasize the potential of machine learning in identifying key predictors of academic performance and offer practical applications for personalized academic advising and time management. This research provides a data-driven framework to support students and educators in optimizing learning outcomes.
Co-Authors Huy Hoang Doan