What is a Random Forest?

What is a Random Forest?

Approach: Describe an ensemble of decision trees using bagging.

An ensemble learning method that constructs multiple decision trees during training. For classification, it outputs the mode of the classes; for regression, it outputs the mean prediction. It uses bootstrap aggregating and random feature selection to reduce variance.

Follow-up: Does it usually overfit?

Key concepts: bagging, feature randomness, bootstrap.