plot.confusion

Plot method for the confusion matrix

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

plot.confusion function

<dl><dt>x</dt>
<dd>Return value from <code>confusion</code></dd>
<dt>vars</dt>
<dd>Measures to plot, i.e., one or more of "TP", "FP", "TN", "FN", "total", "TPR", "TNR", "precision", "accuracy", "kappa", "profit", "index", "ROME", "contact", "AUC"</dd>
<dt>scale_y</dt>
<dd>Free scale in faceted plot of the confusion matrix (TRUE or FALSE)</dd>
<dt>size</dt>
<dd>Font size used</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Plot method for the confusion matrix — plot.confusion

<dl>

<dt>x</dt>
<dd>Return value from <code>confusion</code></dd>


<dt>vars</dt>
<dd>Measures to plot, i.e., one or more of "TP", "FP", "TN", "FN", "total", "TPR", "TNR", "precision", "accuracy", "kappa", "profit", "index", "ROME", "contact", "AUC"</dd>


<dt>scale_y</dt>
<dd>Free scale in faceted plot of the confusion matrix (TRUE or FALSE)</dd>


<dt>size</dt>
<dd>Font size used</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

plot.confusion: Plot method for the confusion matrix

Description

Usage

Arguments

Details

See Also

Examples