factclean

Does miscellaneous cleaning of prediction datasets

Create, visualize, and test fast-and-frugal decision trees (FFTs) using methods described in Phillips, Neth, Woike & Gaissmaier. (2017). FFTs are very simple decision trees for
binary classification problems. FFTs can be preferable to more complex algorithms because they are easy to communicate,
require very little information, and are robust against overfitting.

Nathaniel Phillips

FFTrees

Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Hansjoerg Neth

Jan Woike

Wolfgang Gaissmaer

factclean function

<dl><dt>data.train</dt>
<dd>A training dataset</dd>
<dt>data.test</dt>
<dd>A testing dataset</dd>
<dt>show.warning</dt>
<dd>...</dd></dl>

Arguments

Does miscellaneous cleaning of prediction datasets — factclean

<dl>

<dt>data.train</dt>
<dd>A training dataset</dd>


<dt>data.test</dt>
<dd>A testing dataset</dd>


<dt>show.warning</dt>
<dd>...</dd>

</dl>

factclean: Does miscellaneous cleaning of prediction datasets

Description

Usage

Arguments