Logistic regression in data analysis: an overview
Maher MaaloufSchool of Industrial Engineering, University of Oklahoma, 202 W. Boyd St., Room 124, Norman, OK, 73019, USA
2011en
ABI
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.
Identifiers
Citations and references
Cited by 20 references