Variable ranking and selection with random forest for unbalanced data

Bradter, U, Altringham, JD, Kunin, WE orcid.org/0000-0002-9812-2326 et al. (3 more authors) (2022) Variable ranking and selection with random forest for unbalanced data. Environmental Data Science, 1. e30. ISSN 2634-4602

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s), 2022. Published by Cambridge University Press. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Multi-scale, random forest, spatial scale, species distribution model, unbalanced data
Dates:
  • Accepted: 9 November 2022
  • Published (online): 20 December 2022
  • Published: 20 December 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Feb 2023 10:44
Last Modified: 20 Feb 2023 10:44
Status: Published
Publisher: Cambridge University Press
Identification Number: https://doi.org/10.1017/eds.2022.34

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