Random Forest

Fact

A model where many decision trees vote or average their answers.

In Plain Words

Random Forest is like asking the whole class for an answer. One kid may be wild, but the crowd is harder to fool.

It is used to sort things into groups or guess numbers. It works well on spreadsheet data and overfits less than one tree.

Related Concepts

• Decision Tree
• Ensemble Learning
• Bias-Variance Tradeoff
• Classification Task

Decision Tree
Random Forest uses many Decision Trees, then combines their answers.

Ensemble
Random Forest is a classic example of an Ensemble.

Bias-Variance Tradeoff
Random Forest averages many trees, so it mainly lowers variance.

Classification
Random Forest is often used for Classification, with trees voting for the class.