var_rank_info

Retrieves a data frame containing several metrics related to information theory.
Metrics are: entropy (en), mutual information (mi), information gain (ig) and gain ratio (gr).

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Pablo Casas

funModeling

Exploratory Data Analysis and Data Preparation Tool-Box

var_rank_info function

<dl><dt>data</dt>
<dd>input data frame, all the variables will be evaluated against the variable defined in 'target' parameter</dd>
<dt>target</dt>
<dd>string variable name containing the output variable.</dd></dl>

Arguments

Importance variable ranking based on information theory — var_rank_info

<dl>

<dt>data</dt>
<dd>input data frame, all the variables will be evaluated against the variable defined in 'target' parameter</dd>


<dt>target</dt>
<dd>string variable name containing the output variable.</dd>

</dl>

var_rank_info: Importance variable ranking based on information theory

Description

Usage

Value

Arguments

Examples