RRF: margin – R documentation

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RRF

margin

Margins of RRF Classifier

Description

Compute or plot the margin of predictions from a RRF classifier.

Usage

## S3 method for class 'RRF'
margin(x, ...)
## Default S3 method:
margin(x, observed, ...)
## S3 method for class 'margin'
plot(x, sort=TRUE, ...)

Arguments

`x`	an object of class `RRF`, whose `type` is not `regression`, or a matrix of predicted probabilities, one column per class and one row per observation. For the `plot` method, `x` should be an object returned by `margin`.
`observed`	the true response corresponding to the data in `x`.
`sort`	Should the data be sorted by their class labels?
`...`	other graphical parameters to be passed to `plot.default`.

Value

For margin, the margin of observations from the RRF classifier (or whatever classifier that produced the predicted probability matrix given to margin). The margin of a data point is defined as the proportion of votes for the correct class minus maximum proportion of votes for the other classes. Thus under majority votes, positive margin means correct classification, and vice versa.

Author(s)

Robert Gentlemen, with slight modifications by Andy Liaw

Examples

set.seed(1)
data(iris)
iris.rf <- RRF(Species ~ ., iris, keep.forest=FALSE)
plot(margin(iris.rf))

RRF

Regularized Random Forest

v1.9.1

GPL (>= 2)

Authors

Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener, Regularized random forest for classification by Houtao Deng. Regularized random forest for regression by Xin Guan.

Initial release

2018-07-16