defaultMetric

Caret defaults to RMSE for classification and RMSE for regression.
For classification, I would rather use ROC.

Functions for creating ensembles of caret models: caretList()
and caretStack(). caretList() is a convenience function for fitting multiple
caret::train() models to the same dataset. caretStack() will make linear or
non-linear combinations of these models, using a caret::train() model as a
meta-model.

Zachary A Mayer

caretEnsemble

Ensembles of Caret Models

Antón López

defaultMetric function

<dl><dt>is_class</dt>
<dd>logical, is this a classification or regression problem.</dd>
<dt>is_binary</dt>
<dd>logical, is this binary classification.</dd></dl>

Arguments

Construct a default metric — defaultMetric

<dl>

<dt>is_class</dt>
<dd>logical, is this a classification or regression problem.</dd>


<dt>is_binary</dt>
<dd>logical, is this binary classification.</dd>

</dl>

defaultMetric: Construct a default metric

Description

Usage

Arguments