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Prune each of the trees returned by bagging.
# S3 method for classbagg
prune(tree, cp=0.01,...)An object of the same class as tree with the trees pruned.
an object returned by bagging
(calling this tree is needed by the generic function
prune in package rpart).
complexity parameter, see prune.rpart.
additional arguments to prune.rpart.
By default, bagging grows classification
trees of maximal size. One may want to prune each tree, however,
it is not clear whether or not this may decrease prediction error.
data("Glass", package = "mlbench")
library("rpart")
mod <- bagging(Type ~ ., data=Glass, nbagg=10, coob=TRUE)
pmod <- prune(mod)
print(pmod)
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