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Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology

Random forest (RF) modeling has emerged as an important statistical learning method in ecology due to its exceptional predictive performance. However, for large and complex ecological data sets there is limited guidance on variable selection methods for RF modeling. Typically, either a preselected s...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Environ Monit Assess
Päätekijät: Fox, Eric W., Hill, Ryan A., Leibowitz, Scott G., Olsen, Anthony R., Thornbrugh, Darren J., Weber, Marc H.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2017
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6049094/
https://ncbi.nlm.nih.gov/pubmed/28589457
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10661-017-6025-0
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