Data leakage jeopardizes ecological applications of machine learning

Nat Ecol Evol. 2023 Nov;7(11):1743-1745. doi: 10.1038/s41559-023-02162-1.

Authors

Andy Stock¹, Edward J Gregr^{2

3}, Kai M A Chan²

Affiliations

¹ Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, British Columbia, Canada. astock@alumni.stanford.edu.
² Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, British Columbia, Canada.
³ SciTech Environmental Consulting, Vancouver, British Columbia, Canada.

PMID: 37528205
DOI: 10.1038/s41559-023-02162-1

No abstract available

MeSH terms

Algorithms*
Machine Learning*

Grants and funding

RGPIN-2020-05032/Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada)