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plot.randomForest

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

Examples

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

randomForest

Breiman and Cutler's Random Forests for Classification and Regression

v4.6-14
GPL (>= 2)
Authors
Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.
Initial release
2018-03-22

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