Random Forests with R

Language: English

Published by Springer, Springer Sep 2020, 2020

3030564843 / 9783030564841

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This item is printed on demand - Print on Demand Titel. Neuware -This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems. In addition, they allow us to consider qualitative and quantitative explanatory variables together, without pre-processing. Moreover, they can be used to process standard data for which the number of observations is higher than the number of variables, while also performing very well in the high dimensional case, where the number of variables is quite large in comparison to the number of observations. Consequently, they are now among the preferred methods in the toolbox of statisticians and data scientists. The book is primarily intended for students in academic fields such as statistical education, but also for practitioners in statistics and machine learning. A scientific undergraduate degree is quite sufficient to take full advantage of the concepts, methods, and tools discussed. In terms of computer science skills, little background knowledge is required, though an introduction to the R language is recommended.Random forests are part of the family of tree-based methods; accordingly, after an introductory chapter, Chapter 2 presents CART trees. The next three chapters are devoted to random forests. They focus on their presentation (Chapter 3), on the variable importance tool (Chapter 4), and on the variable selection problem (Chapter 5), respectively. After discussing the concepts and methods, we illustrate their implementation on a running example. Then, various complements are provided before examining additional examples. Throughout the book, each result is given together with the code (in R) that can be used to reproduce it. Thus, the book offers readersessential information and concepts, together with examples and the software tools needed to analyse data using random forests.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 108 pp. Englisch.…

Seller Inventory # 9783030564841

Title
Random Forests with R
Author
Robin Genuer
Publisher
Springer, Springer Sep 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030564843
ISBN 13
9783030564841
Item weight
178 grams
Dimensions
235x155x7 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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