DataCleaning

Feature selection algorithm that extracts features in highly
correlated spaces. The extracted features are meant to be fed into
simple explainable models such as linear or logistic regressions. The
package is useful in the field of explainable modelling as a
way to understand variable behavior.

Allen Sunny

TangledFeatures

Feature Selection in Highly Correlated Spaces

DataCleaning function

<dl><dt>Data</dt>
<dd>The imported Data Frame</dd>
<dt>Y_var</dt>
<dd>The X variable</dd></dl>

Arguments

Automatic Data Cleaning — DataCleaning

<dl>

<dt>Data</dt>
<dd>The imported Data Frame</dd>


<dt>Y_var</dt>
<dd>The X variable</dd>

</dl>

DataCleaning: Automatic Data Cleaning

Description

Usage

Value

Arguments

Examples