Glossary term
Glossary term
Foundations
An ensemble of decision trees in which each decision tree is trained with a specific random noise, such as bagging.
Random forests are a type of decision forest.
See Random Forest in the Decision Forests course for more information.
Created for this library
A credit risk team uses a random forest as a strong tabular baseline before evaluating gradient boosted alternatives.
A retail demand team uses a random forest on store-week-SKU features for next-week sales forecasting where interpretability matters less than robustness.
An insurance underwriting team uses a random forest on claim history features as a robust production model.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License