findnoise

Detect the differences between two datasets, focusing on the input attributes (<code>x</code>, 
<code>xnoise</code>), the output class (<code>y</code>, <code>ynoise</code>) or both depending on the type of 
the model (label, attributes, combined).

internal

Implementation of models for the controlled introduction of errors in
classification datasets. This package contains the noise models described in
Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels,
attributes and both simultaneously.

Jos<c3><a9> A. S<c3><a1>ez

noisemodel

Noise Models for Classification Datasets

José A. Sáez

findnoise function

<dl><dt>x</dt>
<dd>a data frame of input attributes (clean dataset).</dd>
<dt>y</dt>
<dd>a factor vector with the output class of each sample (clean dataset).</dd>
<dt>xnoise</dt>
<dd>a data frame of input attributes (noisy dataset).</dd>
<dt>ynoise</dt>
<dd>a factor vector with the output class of each sample (noisy dataset).</dd>
<dt>model</dt>
<dd>a character with the name of the noise model.</dd></dl>

Arguments

Find the differences between two datasets — findnoise

<dl>

<dt>x</dt>
<dd>a data frame of input attributes (clean dataset).</dd>


<dt>y</dt>
<dd>a factor vector with the output class of each sample (clean dataset).</dd>


<dt>xnoise</dt>
<dd>a data frame of input attributes (noisy dataset).</dd>


<dt>ynoise</dt>
<dd>a factor vector with the output class of each sample (noisy dataset).</dd>


<dt>model</dt>
<dd>a character with the name of the noise model.</dd>

</dl>

findnoise: Find the differences between two datasets

Description

Usage

Value

Arguments