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Logistic regression in data analysis: an overview

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  • Maher Maalouf

Abstract

Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and machine learning perspective and how LR can be applied to imbalanced and rare events data.

Suggested Citation

  • Maher Maalouf, 2011. "Logistic regression in data analysis: an overview," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 3(3), pages 281-299.
  • Handle: RePEc:ids:injdan:v:3:y:2011:i:3:p:281-299
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