A random forest guided tour

The random forest algorithm, proposed by L. Breiman in 2001, has been extremely successful as a general-purpose classification and regression method. The approach, which combines several randomized decision trees and aggregates their predictions by averaging, has shown excellent performance in setti...

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Vydáno v:	Test (Madrid, Spain) Ročník 25; číslo 2; s. 197 - 227
Hlavní autoři:	Biau, Gérard, Scornet, Erwan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2016 Springer Nature B.V Spanish Society of Statistics and Operations Research/Springer
Témata:	Aggregates Algorithms Classification Datasets Decision trees Distance learning Economics Finance Insurance Invited Paper Learning Management Mathematical analysis Mathematics Mathematics and Statistics Regression Regression analysis Statistical Theory and Methods Statistics Statistics for Business Studies Survival analysis Tasks United States > US Randomization Resampling Variable importance 62G02 Parameter tuning Random forests
ISSN:	1133-0686, 1863-8260
On-line přístup:	Získat plný text
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