ENGLISH

Evaluating Learning Algorithms: A Classification Perspective

By Nathalie Japkowicz , Mohak Shah

Book information

Publisher
Cambridge University Press
Year
2011
ISBN
0521196000, 9780521196000
Language
english
Format
PDF
Filesize
2 MB (2305084 bytes)
Pages
424\424
Scanned
yes
Time added
2014-01-02 15:23:11
Информатика и вычислительная техника;Искусственный

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.

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