juniorRandom Forest
What is overfitting in Random Forest?
Updated May 17, 2026
Short answer
Overfitting occurs when the model learns noise instead of general patterns.
Deep explanation
Random Forest reduces overfitting compared to single trees, but can still overfit if trees are too deep or too many features are used.
Real-world example
Overfitting may cause poor fraud detection on new transaction types.
Common mistakes
- Assuming Random Forest cannot overfit at all.
Follow-up questions
- How to prevent overfitting?
- Is more trees always better?