Does Random Forest select a subset of features for every tree or every node?

Related questions

1. When would you use random forests vs SVM and why?
2. How is feature importance calculated in random forest?
3. Why feature extraction is important?
4. How does random forest work?
5. How does random forest achieve feature importance?
6. How does random forest calculate probability?
7. How do you select features in machine learning?
8. What is random forest feature importance?
9. What is random forest regression?
10. What is random forest in simple terms?

Tags

1. #subset
2. #decision
3. #subsets
4. #forest
5. #random
6. #features
7. #nodes
8. #concept
9. #considered
10. #splitting
11. #other