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".

Data Mining and R Programming for Beginners

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5

This class contains the classification model obtained by the CDA method.

<dl>
<dt><code>models</code></dt>
<dd>
List of models.
</dd>
<dt><code>x</code></dt>
<dd>
The learning set.
</dd>
<dt><code>y</code></dt>
<dd>
The target values.
</dd>
</dl>

<code><a href="ADABOOST.html">ADABOOST</a></code>, <code><a href="BAGGING.html">BAGGING</a></code>, <code><a href="predict.boosting.html">predict.boosting</a></code>

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5#docs#boosting-class

boosting-class

Description

Slots

See Also

fdm2id

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