Why is random forest better than bagging?

Related questions

1. What is regression in machine learning?
2. Is boosting an ensemble method?
3. Why does regularization reduce Overfitting?
4. Can AdaBoost be used for regression?
5. How do you calculate bias?
6. Does boosting reduce variance at expense of bias?
7. What is gradient boosting regression?
8. What is the main objective of boosting?
9. Does boosting reduce bias?
10. Does bagging reduce variance?

Tags

1. #features
2. #other
3. #feature
4. #bagging
5. #results
6. #performance
7. #random
8. #trade
9. #variance
10. #independent
11. #because
12. #often
13. #compared
14. #learns
15. #trees
16. #selection
17. #faster
18. #regular
19. #predictive
20. #better
21. #subset
22. #which