INTRODUCTION TO CLASSIFIER PERFORMANCE ANALYSIS WITH R

By SUTAIP LC SAW

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Description

Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA). Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning.

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Book Details

ISBN: 9781032850108
Categories:
Ad, In Stock Books Oct 12, 2026, All Products, Computer Sciences, Electrical Engineering, New Trends, Non Fiction, Scientific and Techincal, Scientific and Technical, Statistics
Format: Paperback
Publication Date: 2025
Number of Pages: 201
Author:
SUTAIP LC SAW
Publisher: CRC PRESS
Language: English
Weight: 0.34 g

About the Author

Sutaip L. C. Saw holds a PhD from the The Wharton School, University of Pennsylvania. Prior to earning his PhD, he served as a statistician in the public sector. His subsequent career was spent as an academic with research interests and publications in engineering statistics and statistical computing, and he has significant teaching experience in statistical/mathematical subjects at undergraduate and postgraduate levels. Since leaving academia, he has been focused on applications of R to data mining and machine learning problems. Although his interest in classification problems and performance analysis of classifiers started while he was still an academic, it has intensified in recent years and this book is the result of time spent on the topic at hand.