ipred (version 0.9-9)

prune.classbagg: Pruning for Bagging

Description

Prune each of the trees returned by bagging.

Usage

# S3 method for classbagg
prune(tree, cp=0.01,...)

Arguments

tree

an object returned by bagging (calling this tree is needed by the generic function prune in package rpart).

cp

complexity parameter, see prune.rpart.

...

additional arguments to prune.rpart.

Value

An object of the same class as tree with the trees pruned.

Details

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.

Examples

# NOT RUN {
data("Glass", package = "mlbench")
library("rpart")

mod <- bagging(Type ~ ., data=Glass, nbagg=10, coob=TRUE)
pmod <- prune(mod)
print(pmod)


# }