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- W3085223657 abstract "The two algorithms discussed in this book were proposed by Leo Breiman: CART trees, which were introduced in the mid-1980s, and random forests, which emerged just under 20 years later in the early 2000s. This chapter offers an introduction to the subject matter, beginning with a historical overview. Some notations, used to define the various statistical objectives addressed in the book, are also introduced: classification, regression, prediction, and variable selection. In turn, the three R packages used in the book are listed, and some competitors are mentioned. Lastly, the four datasets used to illustrate the methods’ application are presented: the running example (spam), a genomic dataset, and two pollution datasets (ozone and dust)." @default.
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- W3085223657 date "2020-01-01" @default.
- W3085223657 modified "2023-09-26" @default.
- W3085223657 title "Introduction to Random Forests with R" @default.
- W3085223657 doi "https://doi.org/10.1007/978-3-030-56485-8_1" @default.
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