What is Random Forest regression?
Updated May 17, 2026
Short answer
Random Forest regression predicts continuous values using averaged tree outputs.
Deep explanation
Each tree predicts a value, and final output is the average. It reduces variance compared to single regression trees.
Real-world example
Used in house price prediction systems.
Common mistakes
- Using classification intuition for regression outputs.
Follow-up questions
- How is regression different from classification?
- What loss is used?