Assessing the predictive value of morphological traits on primary lifestyle of birds through the extreme gradient boosting algorithm

The relationship between morphological traits and ecological performance in birds is an important area of research, as it can help us to understand how birds are able to adapt and how they are affected by changes in their environment. Many studies have investigated the relationship between morpholog...

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Veröffentlicht in:	PloS one Jg. 19; H. 1; S. e0295182
1. Verfasser:	Madrigal-Roca, Luis Javier
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 05.01.2024 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Behavior Biological diversity Birds Classification Data mining Datasets Ecological models Ecological niches Foraging behavior Identification and classification Learning algorithms Lifestyles Machine learning Morphology Niche (Ecology) Physical characteristics Skewness Statistical analysis Taxonomy Variables United States
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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