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Ensemble-SMOTE: Mitigating Class Imbalance in Graduate on Time Detection

In education, detecting students graduating on time is difficult due to high data complexity. Researchers have employed various approaches in identifying on-time graduation with Machine Learning, but it remains a challenging task due to the class imbalance in the dataset. This study has aimed to (i...

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Auteurs principaux: Theng-Jia Law, Choo-Yee Ting, Hu Ng, Hui-Ngo Goh, Albert Quek
Format: Artigo
Langue:Inglês
Publié: MMU Press 2024-06-01
Collection:Journal of Informatics and Web Engineering
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Accès en ligne:https://journals.mmupress.com/index.php/jiwe/article/view/1076
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