A Review of Class Imbalance Problem

Authors

  • Shaza M. Abd Elrahman Faculty of Computer Science & Information Technology, Sudan University of Science and Technology
  • Ajith Abraham Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence

Abstract

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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Published

2013-10-01

How to Cite

Shaza M. Abd Elrahman, & Ajith Abraham. (2013). A Review of Class Imbalance Problem. Journal of Network and Innovative Computing, 1, 9. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/42

Issue

Vol. 1 (2013)

Section

Review

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