juniorRandom Forest
What are decision trees in Random Forest?
Updated May 17, 2026
Short answer
Decision trees are base learners used in Random Forest to make predictions based on feature splits.
Deep explanation
Each tree recursively splits data based on feature thresholds to minimize impurity. Random Forest aggregates multiple such trees.
Real-world example
Used in credit scoring systems to evaluate loan risk.
Common mistakes
- Believing trees are pruned in Random Forest (they are usually unpruned).
Follow-up questions
- What is impurity in trees?
- Why deep trees are used?