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水随机森林的置信区间

[英]Confidence Interval for h2o Random Forest

I noticed that there are a couple functions designed to calculate the confidence interval for models built using randomForest packages, such as rfPredVar in RFinfer . 我注意到有一些旨在计算使用randomForest软件包构建的模型的置信区间的函数,例如rfPredVar中的RFinfer I am wondering if anyone knows any functions like rfPredVar that can calculate the confidence interval for RF models built using h2o package. 我想知道是否有人知道rfPredVar函数可以为使用h2o软件包构建的RF模型计算置信区间。 Many thanks in advance. 提前谢谢了。

At this point, there is no built-in functionality for generating confidence intervals within H2O. 此时,尚无内置功能可在H2O内生成置信区间。

As an aside: It says in the docs that the RFInfer package only works for regression trees. 顺便一句 它在文档中说RFInfer包仅适用于回归树。 So if you happen to be performing binary classification instead of regression and want CIs for the AUC or cross-validated AUC estimate of model performance, then you can use a package I wrote called cvAUC for your Random Forest predictions or any type of model predictions. 因此,如果您恰好执行二进制分类而不是回归,并且希望使用CI作为AUC或对模型性能进行交叉验证的AUC估计,那么您可以使用我编写的名为cvAUC的程序包进行随机森林预测或任何类型的模型预测。

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