Logistic regression in data analysis: an overview
AbstractLogistic 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.
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Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal Int. J. of Data Analysis Techniques and Strategies.
Volume (Year): 3 (2011)
Issue (Month): 3 ()
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Web page: http://www.inderscience.com/browse/index.php?journalID=282
data mining; logistic regression; data classification; rare events; imbalanced data; data analysis; machine learning.;
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