rftrain

This function is not intended for end users. Users should use the brif.formula or brif.default function.

Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' <https://gcc.gnu.org/wiki/openmp>.

Yanchao Liu

brif

A Tree and Forest Tool for Classification and Regression

rftrain function

<dl><dt>rdf</dt>
<dd>a data frame. The first column is treated as the target variable.</dd>
<dt>par</dt>
<dd>a list containing all parameters.</dd></dl>

Arguments

Train a random forest — rftrain

<dl>

<dt>rdf</dt>
<dd>a data frame. The first column is treated as the target variable.</dd>


<dt>par</dt>
<dd>a list containing all parameters.</dd>

</dl>

rftrain: Train a random forest

Description

Usage

Value

Arguments