{"product_id":"9781032850108-introduction-to-classifier-performance","title":"Introduction to Classifier Performance Analysis with R","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003eClassification 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).\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003eIntroduction to Classifier Performance Analysis with R \u003c\/i\u003e\u003c\/b\u003eprovides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the \u003cb\u003eR\u003c\/b\u003e 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.\u003c\/p\u003e\n\u003cp\u003eKey Features:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAn introduction to binary and multiclass classification problems is provided, including some classifiers based on statistical, machine and ensemble learning\u003c\/li\u003e\n\u003cli\u003eCommonly used techniques for binary and multiclass CPA are covered, some from less well-known but useful points of view. Coverage also includes important topics that have not received much attention in textbook accounts of CPA\u003c\/li\u003e\n\u003cli\u003eLimitations of some commonly used performance measures are highlighted\u003c\/li\u003e\n\u003cli\u003eCoverage includes performance parameters and inferential techniques for them\u003c\/li\u003e\n\u003cli\u003eAlso covered are techniques for comparative analysis of competing classifiers\u003c\/li\u003e\n\u003cli\u003eA key contribution involves the use of key \u003cb\u003eR\u003c\/b\u003e meta-packages like \u003cb\u003etidyverse\u003c\/b\u003e and \u003cb\u003etidymodels\u003c\/b\u003e for CPA, particularly the very useful \u003cb\u003eyardstick \u003c\/b\u003epackage\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThis is a useful resource for upper level undergraduate and masters level students in data science, machine learning and related disciplines. Practitioners interested in learning how to use \u003cb\u003eR\u003c\/b\u003e to evaluate classifier performance can also potentially benefit from the book. The material and references in the book can also serve the needs of researchers in CPA.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":54828830032246,"sku":"9781032850108","price":60.54,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_31538703.jpg?v=1733337393","url":"https:\/\/www.rarewaves.com\/products\/9781032850108-introduction-to-classifier-performance","provider":"Rarewaves.com","version":"1.0","type":"link"}