A Review of Class Imbalance Problem

نویسندگان

  • Shaza M. Abd Elrahman
  • Ajith Abraham
چکیده

Class imbalance is one of the challenges of machine learning and data mining fields. Imbalance data sets degrades the performance of data mining and machine learning techniques as the overall accuracy and decision making be biased to the majority class, which lead to misclassifying the minority class samples or furthermore treated them as noise. This paper proposes a general survey for class imbalance problem solutions and the most significant investigations recently introduced by researchers.

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تاریخ انتشار 2014