1st Edition

Introduction to Classifier Performance Analysis with R

By Sutaip L.C. Saw Copyright 2025
222 Pages 41 B/W Illustrations
by Chapman & Hall

222 Pages 41 B/W Illustrations
by Chapman & Hall

222 Pages 41 B/W Illustrations
by Chapman & Hall

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... Read more

Chapter 01 Introduction to Classification

Chapter 02 Classifier Performance Measures

Chapter 03 Classifier Performance Curves

Chapter 04 Comparative Analysis of Classifiers

Chapter 05 Multiclass CPA

Chapter 06 Additional Topics in CPA 

Appendix

Bibliography 

Index

Biography

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.