plot.multiclass: Plot of Metrics for Multiclass Classification Models

In ModelOriented/forester: Quick and Simple Tools for Training and Testing of Tree-Based Models

Plot of Metrics for Multiclass Classification Models

Description

Function plot.multiclass plots measure of quality of regression models.

Usage

## S3 method for class 'multiclass'
plot(x, models = NULL, type = "comparison", metric = "accuracy", ...)

Arguments

x	An object, returned from train() function.
models	A character or numeric that indicates which models will be presented. If 'NULL' (the default option) then the three best models will be presented.
type	A character one of 'comparison', 'confusion-matrix', 'train-test' indicates the type of chart.
metric	A character such as 'accuracy' indicates the metric on the plots.
...	Other parameters that are necessary for consistency with generic plot function.

Value

a ggplot2 object

Examples

## Not run: 
library('forester')
data('iris')

x <- train(iris, 'Species', bayes_iter = 0, random_evals = 0)
plot(x)

## End(Not run)

ModelOriented/forester documentation built on June 6, 2024, 7:29 a.m.