Small to train, small to test: Dealing with low sample size in model evaluation-Reference-Cited by-同舟云学术

Small to train, small to test: Dealing with low sample size in model evaluation

Published:2023-07 Issue: Volume:75 Page:102106
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Collart Flavien,Guisan Antoine

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

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