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A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining
PaperCitations, authors & open-access status
A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 354 citations, 2023 year and gold oa status.
354
Citations
2023
Year
gold
OA Status