Trees, forests, and impurity-based variable importance in regression-Reference-Cited by-同舟云学术

Trees, forests, and impurity-based variable importance in regression

Published:2023-02-01 Issue:1 Volume:59 Page:
ISSN:0246-0203
Container-title:Annales de l'Institut Henri Poincaré, Probabilités et Statistiques
language:
Short-container-title:Ann. Inst. H. Poincaré Probab. Statist.

Author:

Scornet Erwan¹

Affiliation:

1. Centre de Mathématiques Appliquées, Ecole Polytechnique, CNRS, Institut Polytechnique de Paris, Palaiseau, France

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference44 articles.

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2. C. Bénard, S. Da Veiga and E. Scornet MDA for random forests: Inconsistency, and a practical solution via the Sobol-MDA. arXiv preprint, 2021. Available at arXiv:2102.13347.

3. G. Biau. Analysis of a random forests model. J. Mach. Learn. Res. 13 (2012) 1063–1095.

4. A.-L. Boulesteix, A. Bender, J. L. Bermejo and C. Strobl. Random forest Gini importance favours snps with large minor allele frequency: Impact, sources and recommendations. Brief. Bioinform. 13 (2011) 292–304.

5. L. Breiman. Random forests. Mach. Learn. 45 (2001) 5–32.

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