gini_impurity {mltools} | R Documentation |
Gini Impurity
Description
Calculates the Gini Impurity of a set
Usage
gini_impurity(vals)
Arguments
vals |
A vector of values. Values can be given as raw instances like c("red", "red", "blue", "green") or as a named vector of class frequencies like c(red=2, blue=1, green=1) |
Details
Gini Impurity is a measure of how often a randomly chosen element from a set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the set.
Examples
gini_impurity(c("red", "red", "blue", "green"))
gini_impurity(c(red=2, blue=1, green=1))
[Package mltools version 0.3.5 Index]