How does Random Forest reduce curse effects?
Updated May 15, 2026
Short answer
It reduces variance through feature randomness.
Deep explanation
Each tree sees a subset of features, reducing overfitting in high-dimensional spaces.
Real-world example
Medical diagnosis using many weak signals.
Common mistakes
- Assuming RF removes need for preprocessing.
Follow-up questions
- Why feature randomness helps?
- Does RF scale well?