information_gain: Computes information gain based on Shannon and Weaver's...
In dominikjung42/dstools: Toolbox for data science and business data analytics
View source: R/information_gain.R
information_gain R Documentation
Computes information gain based on Shannon and Weaver's entropy
Description
Computes information gain based on standard entropy.
Usage
information_gain(data, feature, target, bins = 4)
Arguments
data
Data frame for information gain computation
feature
Selected input feature
target
Selected target feature
bins
Number of bins to handle numeric features
Value
information gain value
Examples
information_gain(whisky_collection, "RATING", "PRICE", bins=5)
dominikjung42/dstools documentation built on June 16, 2024, 2:40 a.m.
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View source: R/information_gain.R
| information_gain | R Documentation |
Computes information gain based on Shannon and Weaver's entropy
Description
Computes information gain based on standard entropy.
Usage
information_gain(data, feature, target, bins = 4)
Arguments
data |
Data frame for information gain computation |
feature |
Selected input feature |
target |
Selected target feature |
bins |
Number of bins to handle numeric features |
Value
information gain value
Examples
information_gain(whisky_collection, "RATING", "PRICE", bins=5)
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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