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森林随机R包中的袋外观察

[英]Out of bag observation in randomForest R-Package

原文 2013-12-23 19:35:06 9 1 r/ machine-learning/ classification/ regression/ random-forest

I need to find the object in randomForest that has the out-of-bag data. 我需要在randomForest中找到具有数据包数据的对象。 The out-of-bag error rate can be found but the observations on which this error is based are not given. 可以找到袋外错误率，但是没有给出该错误所基于的观察结果。 How to find this object? 如何找到这个物体？

1 个解决方案

I don't think so. 我不这么认为。 In general randomForest will create many out-of-bag samples in the course of the algorithm, not one. 通常， randomForest将在算法过程中创建许多袋装样本，而不是一个。 So there is not one out-of-bag observation set to begin with. 因此，开始时没有一个自付费用的观察集。

Search through http://cran.r-project.org/web/packages/randomForest/randomForest.pdf to see mentions of how out-of-bag is used. 通过http://cran.r-project.org/web/packages/randomForest/randomForest.pdf进行搜索，以了解有关如何使用手提包的信息。

我可以看到 R randomForest 包中回归任务的袋外错误吗？ - Can I see the out of bag error for regression tasks in the R randomForest package?

如何将从R包randomForest创建的基础决策规则应用于新的Out of Bag测试集？ - How do I apply underlying decision rules created from the R package randomForest onto a NEW Out of Bag test set?

将观察权重合并到randomForest包中 - Incorporating observation weights in the randomForest package

randomForest 袋外变量重要性 - randomForest out-of-bag variable importance

R 包中的数据弃用 - Data Deprecation in R-package

未找到 conda 的 R-Package - R-Package not found for conda

randomForest：如何控制袋内/袋外样品的比例？ - randomForest: how to control the proportion of in-bag / out-of-bag samples?

制作R包：NAMESPACE - Making R-Package: NAMESPACE

用于 OPC UA 的 R 包 - R-package for OPC UA

R package 'randomForest' 未安装 - R package 'randomForest' not installing

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相关问题 我可以看到 R randomForest 包中回归任务的袋外错误吗？ - Can I see the out of bag error for regression tasks in the R randomForest package? 如何将从R包randomForest创建的基础决策规则应用于新的Out of Bag测试集？ - How do I apply underlying decision rules created from the R package randomForest onto a NEW Out of Bag test set? 将观察权重合并到randomForest包中 - Incorporating observation weights in the randomForest package randomForest 袋外变量重要性 - randomForest out-of-bag variable importance R 包中的数据弃用 - Data Deprecation in R-package 未找到 conda 的 R-Package - R-Package not found for conda randomForest：如何控制袋内/袋外样品的比例？ - randomForest: how to control the proportion of in-bag / out-of-bag samples? 制作R包：NAMESPACE - Making R-Package: NAMESPACE 用于 OPC UA 的 R 包 - R-package for OPC UA R package 'randomForest' 未安装 - R package 'randomForest' not installing

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