Glossary term
Glossary term
Foundations
A model created from multiple decision trees. A decision forest makes a prediction by aggregating the predictions of its decision trees. Popular types of decision forests include random forests and gradient boosted trees.
See the Decision Forests section in the Decision Forests course for more information.
Created for this library
An insurance underwriting team uses a decision forest as its production claim-risk model because tabular features and missing values are common.
A retail demand forecasting team relies on decision forests as a robust baseline that handles seasonality features without much tuning.
A credit risk team uses a decision forest in shadow mode to compare against the legacy scorecard before recommending a swap.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License