Tree-Based Methods for Statistical Learning in R
This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary.
juin 2022, env. 404 pages, Chapman & Hall/CRC Data Science Series, Anglais
Taylor and Francis
978-0-367-53246-8
Taylor and Francis
978-0-367-53246-8
This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary.
juin 2022, env. 404 pages, Chapman & Hall/CRC Data Science Series, Anglais
Taylor and Francis
978-0-367-53246-8
Taylor and Francis
978-0-367-53246-8
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