A new variable selection approach using Random Forests
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DOI: 10.1016/j.csda.2012.09.020
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- Silke Janitza & Ender Celik & Anne-Laure Boulesteix, 2018. "A computationally fast variable importance test for random forests for high-dimensional data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(4), pages 885-915, December.
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Keywords
Random Forests; Variable selection; Permutation tests; Multiple testing;All these keywords.
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