rf_prediction

Random Forest model(randomForest).

model

test.data

generates the prediction of the random forest 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.

rf_prediction function

<dl><dt>model</dt>
<dd>Random Forest model(randomForest).</dd>
<dt>test.data</dt>
<dd>dataframe.</dd></dl>

Arguments

rf_prediction — rf_prediction

<dl>

<dt>model</dt>
<dd>Random Forest model(randomForest).</dd>


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

</dl>

rf_prediction: rf_prediction

Description

Usage

Arguments