gini_impurity: Gini Impurity

In mltools: Machine Learning Tools

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))

mltools documentation built on May 2, 2019, 5:22 a.m.