Model performance analysis and model validation in logistic regression

In this paper a new model validation procedure for a logistic regression model is presented. At first, we illustrate a brief review of different techniques of model validation. Next, we define a number of properties required for a model to be considered "good", and a number of quantitative...

Full description

Bibliographic Details
Main Authors: Rosa Arboretti Giancristofaro, Luigi Salmaso
Format: Article
Language:English
Published: University of Bologna 2007-10-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/358
_version_ 1818561063566704640
author Rosa Arboretti Giancristofaro
Luigi Salmaso
author_facet Rosa Arboretti Giancristofaro
Luigi Salmaso
author_sort Rosa Arboretti Giancristofaro
collection DOAJ
description In this paper a new model validation procedure for a logistic regression model is presented. At first, we illustrate a brief review of different techniques of model validation. Next, we define a number of properties required for a model to be considered "good", and a number of quantitative performance measures. Lastly, we describe a methodology for the assessment of the performance of a given model by using an example taken from a management study.
first_indexed 2024-12-14T00:46:13Z
format Article
id doaj.art-005e4b302abe4fa1887b2db257e52523
institution Directory Open Access Journal
issn 0390-590X
1973-2201
language English
last_indexed 2024-12-14T00:46:13Z
publishDate 2007-10-01
publisher University of Bologna
record_format Article
series Statistica
spelling doaj.art-005e4b302abe4fa1887b2db257e525232022-12-21T23:24:06ZengUniversity of BolognaStatistica0390-590X1973-22012007-10-0163237539610.6092/issn.1973-2201/358350Model performance analysis and model validation in logistic regressionRosa Arboretti GiancristofaroLuigi SalmasoIn this paper a new model validation procedure for a logistic regression model is presented. At first, we illustrate a brief review of different techniques of model validation. Next, we define a number of properties required for a model to be considered "good", and a number of quantitative performance measures. Lastly, we describe a methodology for the assessment of the performance of a given model by using an example taken from a management study.http://rivista-statistica.unibo.it/article/view/358
spellingShingle Rosa Arboretti Giancristofaro
Luigi Salmaso
Model performance analysis and model validation in logistic regression
Statistica
title Model performance analysis and model validation in logistic regression
title_full Model performance analysis and model validation in logistic regression
title_fullStr Model performance analysis and model validation in logistic regression
title_full_unstemmed Model performance analysis and model validation in logistic regression
title_short Model performance analysis and model validation in logistic regression
title_sort model performance analysis and model validation in logistic regression
url http://rivista-statistica.unibo.it/article/view/358
work_keys_str_mv AT rosaarborettigiancristofaro modelperformanceanalysisandmodelvalidationinlogisticregression
AT luigisalmaso modelperformanceanalysisandmodelvalidationinlogisticregression