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Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features
MOTIVATION: Random forest is a popular machine learning approach for the analysis of high-dimensional data because it is flexible and provides variable importance measures for the selection of relevant features. However, the complex relationships between the features are usually not considered for t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403431/ https://www.ncbi.nlm.nih.gov/pubmed/37522865 http://dx.doi.org/10.1093/bioinformatics/btad471 |