如何从 party::cforest() 获取 OOB 混淆矩阵？

Question

randomForest 包中的 randomForest() 函数非常有用 provides the confusion matrix based on out-of-bag prediction in classification。

party 包 does not seem to provide this information. Searching for "confusion" in the party documentation did not yield anything useful, nor did searching here 中的 cforest() 函数。也许我忽略了什么？

有没有办法获得 party::cforest() 分类模型的 OOB 混淆矩阵？

Answer 1

我从 party.pdf

比较，OOB=TRUE 和 FALSE

set.seed(290875)
### honest (i.e., out-of-bag) cross-classification of
### true vs. predicted classes
data("mammoexp", package = "TH.data")
table(mammoexp$ME, predict(cforest(ME ~ ., data = mammoexp,
                                   control = cforest_unbiased(ntree = 50)),
                           OOB = TRUE))


                  Never Within a Year Over a Year
  Never           195            31           8
  Within a Year    57            46           1
  Over a Year      54            20           0

table(mammoexp$ME, predict(cforest(ME ~ ., data = mammoexp,
                                   control = cforest_unbiased(ntree = 50)),
                           OOB = FALSE))
  Never Within a Year Over a Year
  Never           212            22           0
  Within a Year    58            46           0
  Over a Year      54            17           3

如何从 party::cforest() 获取 OOB 混淆矩阵？

How to get the OOB confusion matrix from `party::cforest()`?

r

random-forest

party