首页随机森林变量重要性的阈值

随机森林变量重要性的阈值

时间: 2023-03-27 07:02:46 浏览: 118

Bias in random forest variable importance measures

This thesis proposes to employ an alternative random forest method, the variable importance measure of which can be employed to reliably select relevant predictor variables in any data set. The performance of this method is compared to that of the original random forest method in simulation studies, and is illustrated by an application to the prediction of C-to-U edited sites in plant mitochondrial RNA, re-analyzing the data of that were previously analyzed with the original random forest method.

随机森林变量重要性的阈值通常是由用户自己设定的，根据实际情况和需求来确定。一般来说，变量重要性得分越高，说明该变量对模型的影响越大，因此可以根据得分高低来筛选出重要的变量。但具体的阈值应该根据具体问题和数据集来确定。

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