evaluation.r2

The predictions of a regression model (<code>vector</code>).

predictions

Actual targets of the dataset (<code>vector</code>).

targets

Evaluation predictions of a regression model according to R2

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

evaluation.r2 function

<dl><dt>predictions</dt>
<dd>The predictions of a regression model (<code>vector</code>).</dd>
<dt>targets</dt>
<dd>Actual targets of the dataset (<code>vector</code>).</dd></dl>

Arguments

R2 evaluation of regression predictions — evaluation.r2

<dl>

<dt>predictions</dt>
<dd>The predictions of a regression model (<code>vector</code>).</dd>


<dt>targets</dt>
<dd>Actual targets of the dataset (<code>vector</code>).</dd>

</dl>

evaluation.r2: R2 evaluation of regression predictions

Description

Usage

Value

Arguments

See Also

Examples