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On the overestimation of random forest’s out-of-bag error
The ensemble method random forests has become a popular classification tool in bioinformatics and related fields. The out-of-bag error is an error estimation technique often used to evaluate the accuracy of a random forest and to select appropriate values for tuning parameters, such as the number of...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078316/ https://www.ncbi.nlm.nih.gov/pubmed/30080866 http://dx.doi.org/10.1371/journal.pone.0201904 |