AB-SMOTE: An Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification

undefined; Hisham Al Majzoub; Islam Elgedawy

Journal ArticleOPEN ACCESS

AB-SMOTE: An Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification

Majzoub H
Elgedawy I

International Journal of Machine Learning and Computing (2020) 10(1) 31-37

DOI: 10.18178/ijmlc.2020.10.1.894

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Abstract

SMOTE is an oversampling approach previously proposed to solve the imbalanced data binary classification problem. SMOTE managed to improve the classification accuracy …

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APA

Majzoub, H. A., & Elgedawy, I. (2020). AB-SMOTE: An Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification. International Journal of Machine Learning and Computing, 10(1), 31–37. https://doi.org/10.18178/ijmlc.2020.10.1.894

AB-SMOTE: An Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification

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