Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet

Sylvain Arlot 1, 2 Robin Genuer 3, 4
2 SELECT - Model selection in statistical learning
Inria Saclay - Ile de France, LMO - Laboratoire de Mathématiques d'Orsay, CNRS - Centre National de la Recherche Scientifique : UMR
4 SISTM - Statistics In System biology and Translational Medicine
Epidémiologie et Biostatistique [Bordeaux], Inria Bordeaux - Sud-Ouest
Abstract : This paper is a comment on the survey paper by Biau and Scornet (2016) about random forests. We focus on the problem of quantifying the impact of each ingredient of random forests on their performance. We show that such a quantification is possible for a simple pure forest , leading to conclusions that could apply more generally. Then, we consider " hold-out " random forests, which are a good middle point between " toy " pure forests and Breiman's original random forests.
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Journal articles
Test, Spanish Society of Statistics and Operations Research/Springer, 2016, 25 (2), pp.228--238. <http://dx.doi.org/10.1007/s11749-016-0484-4>. <10.1007/s11749-016-0484-4>
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Sylvain Arlot, Robin Genuer. Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet. Test, Spanish Society of Statistics and Operations Research/Springer, 2016, 25 (2), pp.228--238. <http://dx.doi.org/10.1007/s11749-016-0484-4>. <10.1007/s11749-016-0484-4>. <hal-01297557>

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