best_information_gain: Find the attribute that provides the best information...
In teofanan/classprobtree: Fitting and Display of Classification and Probability Estimation Trees
Description
Usage
Arguments
Value
See Also
View source: R/script.R
View source: R/script_BACKUP_1282.R
View source: R/script_BACKUP_1990.R
View source: R/script_BACKUP_2903.R
View source: R/script_BACKUP_3193.R
View source: R/script_BASE_1282.R
View source: R/script_BASE_1990.R
View source: R/script_BASE_2903.R
View source: R/script_BASE_3193.R
View source: R/script_LOCAL_1282.R
View source: R/script_LOCAL_1990.R
View source: R/script_LOCAL_2903.R
View source: R/script_LOCAL_3193.R
View source: R/script_REMOTE_1282.R
View source: R/script_REMOTE_1990.R
View source: R/script_REMOTE_2903.R
View source: R/script_REMOTE_3193.R
Description
best_information_gain investigates a set of attributes of a dataset to find the one that provides the best Information Gain as a splitter for a given target variable.
Usage
1
best_information_gain(x, f)
Arguments
x
the target vector i.e. the entire set of labels (target variable values)
f
a data frame with the candidate attributes as columns
Value
A list with two members: the value of the best information gain and the column index in f of the 'winning' attribute
See Also
teofanan/classprobtree documentation built on May 17, 2019, 5:53 p.m.
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Description Usage Arguments Value See Also
View source: R/script.R View source: R/script_BACKUP_1282.R View source: R/script_BACKUP_1990.R View source: R/script_BACKUP_2903.R View source: R/script_BACKUP_3193.R View source: R/script_BASE_1282.R View source: R/script_BASE_1990.R View source: R/script_BASE_2903.R View source: R/script_BASE_3193.R View source: R/script_LOCAL_1282.R View source: R/script_LOCAL_1990.R View source: R/script_LOCAL_2903.R View source: R/script_LOCAL_3193.R View source: R/script_REMOTE_1282.R View source: R/script_REMOTE_1990.R View source: R/script_REMOTE_2903.R View source: R/script_REMOTE_3193.R
Description
best_information_gain investigates a set of attributes of a dataset to find the one that provides the best Information Gain as a splitter for a given target variable.
Usage
1 | best_information_gain(x, f)
|
Arguments
x |
the target vector i.e. the entire set of labels (target variable values) |
f |
a data frame with the candidate attributes as columns |
Value
A list with two members: the value of the best information gain and the column index in f of the 'winning' attribute
See Also
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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