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文章基本信息

  • 标题:Model performance analysis and model validation in logistic regression
  • 本地全文:下载
  • 作者:Rosa Arboretti Giancristofaro ; Luigi Salmaso
  • 期刊名称:Statistica
  • 印刷版ISSN:1973-2201
  • 出版年度:2007
  • 卷号:63
  • 期号:2
  • 页码:375-396
  • 语种:Italian
  • 出版社:Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna
  • 摘要: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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