What is extra trees classifier vs random forest?
Updated May 17, 2026
Short answer
Extra Trees uses random splits, while Random Forest uses best splits.
Deep explanation
Extra Trees increases randomness by choosing split thresholds randomly, often improving speed and sometimes accuracy.
Real-world example
Used in high-dimensional bioinformatics data.
Common mistakes
- Assuming both models are identical.
Follow-up questions
- Which is faster?
- Which is more accurate?