rf_model

data

the name of the variable to be predicted.

variable.pred

ntree

mtry

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.

rf_model function

<dl><dt>data</dt>
<dd>dataframe</dd>
<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>
<dt>ntree</dt>
<dd>the ntree parameter of the model.</dd>
<dt>mtry</dt>
<dd>the mtry parameter of the model.</dd></dl>

Arguments

rf_model — rf_model

<dl>

<dt>data</dt>
<dd>dataframe</dd>


<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>


<dt>ntree</dt>
<dd>the ntree parameter of the model.</dd>


<dt>mtry</dt>
<dd>the mtry parameter of the model.</dd>

</dl>

rf_model: rf_model

Description

Usage

Arguments

See Also