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Könyv Evaluating Learning Algorithms Nathalie Japkowicz

Evaluating Learning Algorithms

Szerző: Nathalie Japkowicz, Mohak Shah
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Cambridge University Press
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
28 360 Ft
The field of machine learning has matured to the point where many sophisticated learning approaches...

Információk a könyvről

Szerző
Nathalie Japkowicz, Mohak Shah
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2014
oldal
424
EAN
9781107653115
ISBN
1107653118
Enbook ID
02432013
Kiadó
Cambridge University Press
Súly
660
Méretek
147 x 234 x 23

Teljes leírás

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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