plot_real_prediction

scatter plot between the actual value of the variable to be predicted and the prediction of the model.

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

Oldemar Rodriguez

regressoR

Regression Data Analysis System

Diego Jimenez A.

plot_real_prediction function

<dl><dt>real</dt>
<dd>the real values in traning-testing.</dd>
<dt>prediction</dt>
<dd>the prediction values in traning-testing.</dd>
<dt>model</dt>
<dd>the name of the model of the scatter plot.</dd>
<dt>titles</dt>
<dd>Labels on the chart</dd></dl>

Arguments

Ariel Arroyo &lt;luis.ariel.arroyo@promidat.com&gt;

Author

plot_real_prediction — plot_real_prediction

<dl>

<dt>real</dt>
<dd>the real values in traning-testing.</dd>


<dt>prediction</dt>
<dd>the prediction values in traning-testing.</dd>


<dt>model</dt>
<dd>the name of the model of the scatter plot.</dd>


<dt>titles</dt>
<dd>Labels on the chart</dd>

</dl>

plot_real_prediction: plot_real_prediction

Description

Usage

Value

Arguments

Author