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Encyclopedia of Machine Learning and Data Mining pp 1–2Cite as

Model Evaluation

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Abstract

Model evaluation is the process of assessing a property or properties of a model.

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Recommended Reading

  • Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning. Springer, New York

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  • Mitchell TM (1997) Machine learning. McGraw-Hill, New York

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  • Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, Amsterdam/Boston

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Monash University, Victoria, Australia

    Geoffrey I Webb

Authors
  1. Geoffrey I Webb
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Corresponding author

Correspondence to Geoffrey I Webb .

Editor information

Editors and Affiliations

  1. Engineering (CSE), University of New South Wales School of Computer Science &, Sydney, New South Wales, Australia

    Claude Sammut

  2. Software Engineering, Monash University School of Computer Science &, Melbourne, Victoria, Australia

    Geoffrey I. Webb

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© 2016 Springer Science+Business Media New York

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Webb, G.I. (2016). Model Evaluation. In: Sammut, C., Webb, G. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7502-7_555-1

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  • DOI: https://doi.org/10.1007/978-1-4899-7502-7_555-1

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  • Publisher Name: Springer, Boston, MA

  • Online ISBN: 978-1-4899-7502-7

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Model Evaluation
    Published:
    28 September 2023

    DOI: https://doi.org/10.1007/978-1-4899-7502-7_555-2

  2. Original

    Model Evaluation
    Published:
    05 August 2016

    DOI: https://doi.org/10.1007/978-1-4899-7502-7_555-1

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