Random Forests with R

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This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems. In addition...

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This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems. In addition...

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  • Formats: pdf
  • ISBN: 9783030564858
  • Publication Date: 10 Sept 2020
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM