prune.bagging: Pruning for Bagging

In ipred: Improved Predictors

Pruning for Bagging

Description

Prune each of the trees returned by bagging.

Usage

## S3 method for class '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.

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.

Value

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

Examples

data("Glass", package = "mlbench")
library("rpart")

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

ipred documentation built on March 31, 2023, 3:09 p.m.