An effective procedure for feature subset selection in logistic regression based on information criteria
type: Item
instance of: scholarly article
title: An effective procedure for feature subset selection in logistic regression based on information criteria
zbMATH Open document ID: 1472.62120
author: Enrico Civitelli
author: Matteo Lapucci
author: Alessio Sortino
author: Fabio Schoen
published in: Computational Optimization and Applications
publication date: 2021-08-09T00:00:00Z
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 90C11
Mathematics Subject Classification ID: 90C05
zbMATH DE Number: 7379931
zbMATH Keywords: logistic regression
zbMATH Keywords: information criterion
zbMATH Keywords: best subset selection
zbMATH Keywords: sparse optimization
zbMATH Keywords: block coordinate descent
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describes a project that uses: LIBLINEAR
describes a project that uses: L-BFGS
describes a project that uses: PRMLT
describes a project that uses: Scikit
describes a project that uses: Gurobi
describes a project that uses: UCI-ml
describes a project that uses: ElemStatLearn
describes a project that uses: SciPy
describes a project that uses: aplore3
describes a project that uses: Bonmin
describes a project that uses: Python
MaRDI profile type: Publication
full work available at URL: s10589-021-00288-1
OpenAlex ID: W3175414514
DOI: 10.1007/S10589-021-00288-1
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description: scientific article; zbMATH DE number 7379931