Evaluating Learning Algorithms

Name: Evaluating Learning Algorithms
Brand: Cambridge University Press
SKU: 9781107653115
Price: 1721 CZK
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Autor: Nathalie Japkowicz, Mohak Shah

Jazyk:

Vazba: Brožovaná

Vydavatel: Cambridge University Press

Dostupnost: Skladem u dodavatele

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The field of machine learning has matured to the point where many sophisticated learning approaches...

Informace o knize

Autor

Nathalie Japkowicz, Mohak Shah

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2014

Stránek

424

EAN

9781107653115

ISBN

1107653118

Enbook ID

02432013

Vydavatel

Cambridge University Press

Hmotnost

660

Rozměry

147 x 234 x 23

Kompletní popis

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.

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