plot.randomForest: Plot method for randomForest objects

In randomForest: Breiman and Cutler's Random Forests for Classification and Regression

Plot method for randomForest objects

Description

Plot the error rates or MSE of a randomForest object

Usage

## S3 method for class 'randomForest'
plot(x, type="l", main=deparse(substitute(x)), ...)

Arguments

x	an object of class randomForest.
type	type of plot.
main	main title of the plot.
...	other graphical parameters.

Value

Invisibly, the error rates or MSE of the randomForest object. If the object has a non-null test component, then the returned object is a matrix where the first column is the out-of-bag estimate of error, and the second column is for the test set.

Note

This function does not work for randomForest objects that have type=unsupervised.

If the x has a non-null test component, then the test set errors are also plotted.

Author(s)

Andy Liaw

See Also

randomForest

Examples

data(mtcars)
plot(randomForest(mpg ~ ., mtcars, keep.forest=FALSE, ntree=100), log="y")

randomForest documentation built on May 23, 2022, 9:05 a.m.