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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...
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| 出版年: | PLoS One |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6078316/ https://ncbi.nlm.nih.gov/pubmed/30080866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0201904 |
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