Staff Members - Benha University
improving the accuracy for logistic regression parameters estimation in practical problems
Int. Conf. in computer and technology : Kazan • 2004
Publication Information
Authors
Dubov I.R., Diab T.O
Keywords
Logistic regression
Journal
Int. Conf. in computer and technology : Kazan
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
21-23
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Logistic Regression (LR) is a well known classification method in the field of statistical learning. It allows probabilistic classification and shows promising results on several benchmark problems. Logistic regression enables us to investigate the relationship between a categorical outcome and a set of explanatory variables. In this paper, different modification is presented to improve the accuracy for logistic regression parameters estimation in practical problems