dt_prediction

model

test.data

generates the prediction of the decision trees 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

Oldemar Rodriguez R.

Andres Navarro D.

Diego Jimenez A.

Ariel Arroyo S.

dt_prediction function

<dl><dt>model</dt>
<dd>a decision trees model(rpart).</dd>
<dt>test.data</dt>
<dd>dataframe.</dd></dl>

Arguments

dt_prediction — dt_prediction

<dl>

<dt>model</dt>
<dd>a decision trees model(rpart).</dd>


<dt>test.data</dt>
<dd>dataframe.</dd>

</dl>

dt_prediction: dt_prediction

Description

Usage

Arguments