juniorRandom Forest
What is feature randomness in Random Forest?
Updated May 17, 2026
Short answer
Feature randomness means each tree considers only a subset of features when splitting.
Deep explanation
This reduces correlation between trees, improving ensemble performance. It ensures diversity beyond just data sampling.
Real-world example
Used in recommendation systems to avoid over-reliance on dominant features.
Common mistakes
- Using all features at every split defeats randomness.
Follow-up questions
- Why reduce feature correlation?
- What is max_features?