Logistic regression in data analysis: an overview

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.

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Year of publication:	2011
Authors:	Maalouf, Maher
Published in:	International Journal of Data Analysis Techniques and Strategies. - Inderscience Enterprises Ltd, ISSN 1755-8050. - Vol. 3.2011, 3, p. 281-299
Publisher:	Inderscience Enterprises Ltd
Subject:	data mining \| logistic regression \| data classification \| rare events \| imbalanced data \| data analysis \| machine learning

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

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