Machine Learning Intermediate
random forest
An ensemble of decision trees in which each decision tree is trained with a specific random noise, such as bagging.
Plain English Explanation
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.
How is it used?
Practitioners refer to random forest when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.