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Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival()
Random forests is a popular nonparametric tree ensemble procedure with broad applications to data analysis. While RF’s widespread popularity stems from its prediction performance, an equally important feature is that it provides a fully nonparametric measure of variable importance (VIMP). A current...
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| Publicado no: | Stat Med |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6279615/ https://ncbi.nlm.nih.gov/pubmed/29869423 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7803 |
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