£48.38

Cambridge University Press Evaluating Learning Algorithms: A Classification Perspective

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£53.99 £45.44 £47.31 £49.17 £51.04 £52.90 £54.77 09 June 2024 14 November 2024 21 April 2025 26 September 2025 04 March 2026

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Description

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for conducting performance evaluations of algorithms in practical settings.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
06 March 2014
Listed Since
16 January 2014

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