roc.curves

The predictions of a classification model (<code>factor</code> or <code>vector</code>).

predictions

Actual labels of the dataset (<code>factor</code> or <code>vector</code>).

The name of the compared methods (<code>vector</code>).

methods.names

This function plots ROC Curves of several classification predictions.

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

roc.curves function

<dl><dt>predictions</dt>
<dd>The predictions of a classification model (<code>factor</code> or <code>vector</code>).</dd>
<dt>gt</dt>
<dd>Actual labels of the dataset (<code>factor</code> or <code>vector</code>).</dd>
<dt>methods.names</dt>
<dd>The name of the compared methods (<code>vector</code>).</dd></dl>

Arguments

Plot ROC Curves — roc.curves

<dl>

<dt>predictions</dt>
<dd>The predictions of a classification model (<code>factor</code> or <code>vector</code>).</dd>


<dt>gt</dt>
<dd>Actual labels of the dataset (<code>factor</code> or <code>vector</code>).</dd>


<dt>methods.names</dt>
<dd>The name of the compared methods (<code>vector</code>).</dd>

</dl>

roc.curves: Plot ROC Curves

Description

Usage

Value

Arguments

See Also

Examples