Glossary term
Glossary term
Foundations
A metric similar to entropy. Splitters use values derived from either gini impurity or entropy to compose conditions for classification decision trees. Information gain is derived from entropy. No universally accepted equivalent term for the metric derived from gini impurity exists; however, this unnamed metric is just as important as information gain.
Gini impurity is also called gini index, or simply gini.
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Created for this library
A credit risk team uses Gini impurity as the split criterion in its decision-tree baseline before evaluating gradient-boosted alternatives.
A marketing analytics team uses Gini impurity to grow a tree on customer segments because it produces splits that business reviewers find easy to interpret.
A fraud team uses Gini impurity as the splitting metric in its rule-derivation tree so each branch reads as a clean policy condition.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License