confusion

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

Alexandre Blansché

confusion function

<dl><dt>predictions</dt>
<dd>The prediction.</dd>
<dt>gt</dt>
<dd>The ground truth.</dd>
<dt>norm</dt>
<dd>Whether or not the confusion matrix is normalized</dd>
<dt>graph</dt>
<dd>Whether or not a graphic is displayed.</dd></dl>

Arguments

Confuion matrix — confusion

<dl>

<dt>predictions</dt>
<dd>The prediction.</dd>


<dt>gt</dt>
<dd>The ground truth.</dd>


<dt>norm</dt>
<dd>Whether or not the confusion matrix is normalized</dd>


<dt>graph</dt>
<dd>Whether or not a graphic is displayed.</dd>

</dl>

confusion: Confuion matrix

Description

Usage

Value

Arguments

See Also

Examples