Variable importance for sustaining macrophyte presence via random forests: data imputation and model settings

Data sets plagued with missing data and performance-affecting model parameters represent recurrent issues within the field of data mining. Via random forests, the influence of data reduction, outlier and correlated variable removal and missing data imputation technique on the performance of habitat...

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Detalles Bibliográficos
Autores principales: Van Echelpoel, Wout, Goethals, Peter L. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162213/
https://www.ncbi.nlm.nih.gov/pubmed/30266931
http://dx.doi.org/10.1038/s41598-018-32966-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162213/
https://www.ncbi.nlm.nih.gov/pubmed/30266931
http://dx.doi.org/10.1038/s41598-018-32966-2

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