This book 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
This book provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysisHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
