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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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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

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