midScikit-Learn
What is Random Forest?
Updated May 17, 2026
Short answer
Random Forest combines multiple decision trees for better performance.
Deep explanation
It uses bagging and feature randomness to reduce overfitting.
Real-world example
Used in fraud detection systems.
Common mistakes
- Assuming it never overfits.
Follow-up questions
- What is bagging?
- Why use multiple trees?