HIGHLIGHTS
- who: SITI DIANAH ABDUL BUJANG and colleagues from the Malaysia , Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic have published the Article: Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review, in the Journal: (JOURNAL)
- what: This study aims to review the existing research Article by providing a state-of-the-art approach for handling imbalanced classification in higher education including the best practices of dataset characteristics methods and comparative analysis of the proposed algorithms focusing on student grade prediction context problems.
- how: This paper presents . . .
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