confusion

Plot a confusion matrix. Rows are the true labels and columns the predicted ones.

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. This is the first argument, as for every other
evaluation function of the package (<code>evaluation</code>, <code>evaluation.accuracy</code>,
<code>evaluation.precision</code>, ...): passing the ground truth first returns the transposed
matrix.</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>
<dt>...</dt>
<dd>Other parameters, ignored. <code>performance</code> forwards to its evaluation
function the same <code>...</code> it forwards to the learning method, so a call such as
<code>performance (BAGGING, ..., type = "confusion", learningmethod = CART)</code> would otherwise
fail on the unused <code>learningmethod</code>.</dd></dl>

Arguments

Confusion matrix — confusion

<dl>

<dt>predictions</dt>
<dd>The prediction. This is the first argument, as for every other
evaluation function of the package (<code>evaluation</code>, <code>evaluation.accuracy</code>,
<code>evaluation.precision</code>, ...): passing the ground truth first returns the transposed
matrix.</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>


<dt>...</dt>
<dd>Other parameters, ignored. <code>performance</code> forwards to its evaluation
function the same <code>...</code> it forwards to the learning method, so a call such as
<code>performance (BAGGING, ..., type = "confusion", learningmethod = CART)</code> would otherwise
fail on the unused <code>learningmethod</code>.</dd>

</dl>

confusion: Confusion matrix

Description

Usage

Value

Arguments

See Also

Examples