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
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Introduction to Classifier Performance Analysis with R 作者:Saw 出版社:CRC Press 出版日期:2024-12-03 語言:英文 規格:精裝 / 224頁 / 普通級/ 初版 |
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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
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 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.
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