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袋外编码的分类预测因素对袋外样本的影响

Helen L Smith1, Patrick J Biggs2,3,4, Nigel P French3,4

  • 1School of Mathematical and Computational Sciences, Massey University, Palmerston North, New Zealand.

PeerJ. Computer science
|December 9, 2024
PubMed
概括

随机森林模型中的基于目标的编码可能会影响性能指标. 在这种方法中使用袋外 (OOB) 样本可能会低估错误率并高估变量的重要性,这表明单独的测试集至关重要.

关键词:
缺席的水平 缺席的水平类别预测指标是指类别预测指标.标签编码的标签编码.在袋外的错误错误.随机的森林随机的森林重要性的变量.

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