calibrate_boosting

helps to get the maximum of n.minobsinnode and bag.fraction values with which no error is generated in 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.

calibrate_boosting function

<dl><dt>data</dt>
<dd>the name of the learning data.</dd></dl>

Arguments

calibrate_boosting — calibrate_boosting

<dl>

<dt>data</dt>
<dd>the name of the learning data.</dd>

</dl>

calibrate_boosting: calibrate_boosting

Description

Usage

Arguments

See Also

Examples