{"product_id":"evaluating-learning-algorithms-a-classification-perspective-paperback-9781107653115","title":"Evaluating Learning Algorithms; A Classification Perspective (Paperback \/ softback) 9781107653115","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eEvaluating Learning Algorithms\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Classification Perspective\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eGives a solid basis for conducting performance evaluations of learning algorithms in practical settings with an emphasis on classification algorithms.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eNathalie Japkowicz (Author), Mohak Shah (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781107653115, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 6 March 2014\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e424 pages, 40 b\/w illus.  45 tables\u003cbr\u003e23.4 x 15.6 x 2.2 cm, 0.59 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"This book has the merit of organizing most of the material about the evaluation of learning algorithms into a homogeneous description, covering both theoretical aspects and pragmatic issues. It is a useful resource for researchers in machine learning, and provides adequate material for graduate courses in machine learning and related fields.\"  \u003cbr\u003eCorrado Mencar, Computing Reviews\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThe field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for conducting performance evaluations of algorithms in practical settings.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e 2. Machine learning and statistics overview\u003cbr\u003e 3. Performance measures I\u003cbr\u003e 4. Performance measures II\u003cbr\u003e 5. Error estimation\u003cbr\u003e 6. Statistical significance testing\u003cbr\u003e 7. Data sets and experimental framework\u003cbr\u003e 8. Recent developments\u003cbr\u003e 9. Conclusion\u003cbr\u003e Appendix A: statistical tables\u003cbr\u003e Appendix B: additional information on the data\u003cbr\u003e Appendix C: two case studies.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Pattern recognition [\u003ca title=\"See our other books on Pattern recognition\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Pattern%20recognition%20%5BUYQP%5D%22\"\u003eUYQP\u003c\/a\u003e], Machine learning [\u003ca title=\"See our other books on Machine learning\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Machine%20learning%20%5BUYQM%5D%22\"\u003eUYQM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46002704154904,"sku":"9781107653115","price":47.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781107653115i_7f796c9a-5ad3-40f0-9721-4ecdab0fcfd1.jpg?v=1696781342","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/evaluating-learning-algorithms-a-classification-perspective-paperback-9781107653115","provider":"Freshly Printed Books","version":"1.0","type":"link"}