What is bias-variance tradeoff in Random Forest?
Updated May 17, 2026
Short answer
Random Forest reduces variance while maintaining low bias.
Deep explanation
Individual trees have high variance, but averaging many trees reduces variance significantly without increasing bias much.
Real-world example
Used in predictive analytics for customer churn.
Common mistakes
- Assuming both bias and variance are eliminated.
Follow-up questions
- What increases bias?
- What increases variance?