Model performance analysis and model validation in logistic regression

Authors

  • Rosa Arboretti Giancristofaro Università degli Studi di Ferrara
  • Luigi Salmaso Università degli Studi di Padova

DOI:

https://doi.org/10.6092/issn.1973-2201/358

Abstract

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.

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Published

2007-10-19

How to Cite

Arboretti Giancristofaro, R., & Salmaso, L. (2003). Model performance analysis and model validation in logistic regression. Statistica, 63(2), 375–396. https://doi.org/10.6092/issn.1973-2201/358

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Section

Articles