Learn R Programming

RRF (version 1.9.4)

margin: Margins of RRF Classifier

Description

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

Usage

# S3 method for RRF
margin(x, ...)
# S3 method for default
margin(x, observed, ...)
# S3 method for 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.

See Also

RRF

Examples

Run this code
# NOT RUN {
set.seed(1)
data(iris)
iris.rf <- RRF(Species ~ ., iris, keep.forest=FALSE)
plot(margin(iris.rf))
# }

Run the code above in your browser using DataLab