print.boosting

Prints how many models the ensemble holds and what it was fitted on.

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

print.boosting function

<dl><dt>x</dt>
<dd>The model (object of class <code>boosting-class</code>, created by
<code>ADABOOST</code> or <code>BAGGING</code>).</dd>
<dt>...</dt>
<dd>Other parameters.</dd></dl>

Arguments

Print an ensemble model — print.boosting

<dl>

<dt>x</dt>
<dd>The model (object of class <code>boosting-class</code>, created by
<code>ADABOOST</code> or <code>BAGGING</code>).</dd>


<dt>...</dt>
<dd>Other parameters.</dd>

</dl>

print.boosting: Print an ensemble model

Description

Usage

Arguments

See Also

Examples