summary.ndmodel: Summary function for class ndmodel

In noisemodel: Noise Models for Classification Datasets

Summary function for class ndmodel

Description

This method displays a summary containing information about the noise introduction process contained in an object of class ndmodel.

Usage

## S3 method for class 'ndmodel'
summary(object, ..., showid = FALSE)

Arguments

object	an object of class ndmodel.
...	other options to pass to the function.
showid	a logical indicating if the indices of noisy samples must be displayed (default: FALSE).

Details

This function presents a summary containing information of the noise introduction process and the resulting noisy dataset contained in the object object of class ndmodel. The information offered is as follows:

• the function call.

• the name of the noise introduction model.

• the parameters associated with the noise model.

• the number of noisy and clean samples in the dataset.

• the number of noisy samples per class/attribute.

• the number of clean samples per class/attribute.

• the indices of the noisy samples (if showid = TRUE).

Value

A list with the elements of object, including the showid argument.

See Also

print.ndmodel, plot.ndmodel, sym_uni_ln, sym_cuni_ln, sym_uni_an

Examples

# load the dataset
data(iris2D)

# usage of the default method
set.seed(9)
outdef <- sym_uni_ln(x = iris2D[,-ncol(iris2D)], y = iris2D[,ncol(iris2D)], level = 0.1)

# show results
summary(outdef, showid = TRUE)

noisemodel documentation built on Oct. 17, 2022, 9:05 a.m.