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The behaviour of random forest permutation-based variable importance measures under predictor correlation
BACKGROUND: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observed. Recent works on permutation-based variable importance measures (VIMs) used in RF have come to apparently contradictor...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848005/ https://www.ncbi.nlm.nih.gov/pubmed/20187966 http://dx.doi.org/10.1186/1471-2105-11-110 |