The Effects of Imbalanced Datasets on Machine Learning Algorithms in Predicting Student Performance

Predictive analytics technologies are becoming increasingly popular in higher education institutions. Students' grades are one of the most critical performance indicators educators can use to predict their academic achievement. Academics have developed numerous techniques and machine-learning approa...

詳細記述

書誌詳細

主要な著者:	Khaled Mahmud Sujon, Rohayanti Hassan, Alif Ridzuan Khairudin, Sim Hiew Moi, Muhammad Luqman Mohd Shafie, Zainuri Saringat, Aldo Erianda
フォーマット:	Artigo
言語:	Inglês
出版事項:	Society of Visual Informatics 2024-11-01
シリーズ:	JOIV: International Journal on Informatics Visualization
主題:	imbalanced dataset machine learning higher education institute multi-class prediction
オンライン･アクセス:	https://joiv.org/index.php/joiv/article/view/2449
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