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Navigate through a family of related statistics, each with its loyal supporters. While every measure has its merits, this book demystifies why one statistic stands out as the gold standard for evaluating predictive models. From understanding their strengths and weaknesses to mastering calculation and interpretation techniques, you'll gain a comprehensive understanding of each method.
Written in clear, plain English and free from technical jargon, "Errors of Regression Models" is designed to empower beginners and enthusiasts alike. Whether you're a researcher, analyst, or student, this book equips you with practical skills to assess model accuracy with ease.
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