rpart: prune.rpart – R documentation

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prune.rpart

Cost-complexity Pruning of an Rpart Object

Description

Determines a nested sequence of subtrees of the supplied rpart object by recursively snipping off the least important splits, based on the complexity parameter (cp).

Usage

prune(tree, ...)

## S3 method for class 'rpart'
prune(tree, cp, ...)

Arguments

`tree`	fitted model object of class `"rpart"`. This is assumed to be the result of some function that produces an object with the same named components as that returned by the `rpart` function.
`cp`	Complexity parameter to which the `rpart` object will be trimmed.
`...`	further arguments passed to or from other methods.

Value

A new rpart object that is trimmed to the value cp.

Examples

z.auto <- rpart(Mileage ~ Weight, car.test.frame)
zp <- prune(z.auto, cp = 0.1)
plot(zp) #plot smaller rpart object

rpart

Recursive Partitioning and Regression Trees

v4.1-15

GPL-2 | GPL-3

Authors

Terry Therneau [aut], Beth Atkinson [aut, cre], Brian Ripley [trl] (producer of the initial R port, maintainer 1999-2017)

Initial release

2019-04-10