information_gain: Information gain
In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box
View source: R/information_theory.R
information_gain R Documentation
Information gain
Description
Computes the information gain between an 'input' and 'target' variable (using log2). In general terms, the higher the more predictable the input is.
Usage
information_gain(input, target)
Arguments
input
numeric/character vector
target
numeric/character vector
Value
information gain
Examples
information_gain(input=data_golf$outlook, target=data_golf$play_golf)
funModeling documentation built on May 29, 2024, 3:24 a.m.
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View source: R/information_theory.R
| information_gain | R Documentation |
Information gain
Description
Computes the information gain between an 'input' and 'target' variable (using log2). In general terms, the higher the more predictable the input is.
Usage
information_gain(input, target)
Arguments
input |
numeric/character vector |
target |
numeric/character vector |
Value
information gain
Examples
information_gain(input=data_golf$outlook, target=data_golf$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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