The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets

Animal-borne tagging (bio-logging) generates large and complex datasets. In particular, accelerometer tags, which provide information on behaviour and energy expenditure of wild animals, produce high-resolution multi-dimensional data, and can be challenging to analyse. We tested the performance of c...

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Detalles Bibliográficos
Autores principales: Chimienti, Marianna, Kato, Akiko, Hicks, Olivia, Angelier, Frédéric, Beaulieu, Michaël, Ouled-Cheikh, Jazel, Marciau, Coline, Raclot, Thierry, Tucker, Meagan, Wisniewska, Danuta Maria, Chiaradia, André, Ropert-Coudert, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672113/
https://www.ncbi.nlm.nih.gov/pubmed/36396680
http://dx.doi.org/10.1038/s41598-022-22258-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672113/
https://www.ncbi.nlm.nih.gov/pubmed/36396680
http://dx.doi.org/10.1038/s41598-022-22258-1

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