var_rank_info: Importance variable ranking based on information theory
In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box
View source: R/information_theory.R
var_rank_info R Documentation
Importance variable ranking based on information theory
Description
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).
Usage
var_rank_info(data, target)
Arguments
data
input data frame, all the variables will be evaluated against the variable defined in 'target' parameter
target
string variable name containing the output variable.
Value
data frame ordered by gain ratio metric
Examples
var_rank_info(data_golf, "play_golf")
funModeling documentation built on May 29, 2024, 3:24 a.m.
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View source: R/information_theory.R
| var_rank_info | R Documentation |
Importance variable ranking based on information theory
Description
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).
Usage
var_rank_info(data, target)
Arguments
data |
input data frame, all the variables will be evaluated against the variable defined in 'target' parameter |
target |
string variable name containing the output variable. |
Value
data frame ordered by gain ratio metric
Examples
var_rank_info(data_golf, "play_golf")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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