Glossary term
Glossary term
Foundations
A type of decision forest in which:
Training relies on gradient boosting.
The weak model is a decision tree.
See Gradient Boosted Decision Trees in the Decision Forests course for more information.
Created for this library
A credit risk team uses gradient boosted decision trees as the production scorecard because tabular features and missing values are handled well.
A retail demand team uses gradient boosted decision trees on store-week-SKU data because the model captures non-linear interactions without much engineering.
An insurance underwriting team uses gradient boosted decision trees on claim history features to produce a robust risk score for new policies.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License