Which is better random forest or SVM?

Related questions

1. What is min max normalization?
2. What is score in SVM?
3. What is StandardScaler?
4. Can SVM be used for multiclass classification?
5. What is the output of SVM classifier?
6. What does gamma mean in SVM?
7. What kernel is used in SVM?
8. What is one vs all classification?
9. What is split validation?
10. What is a similarity function in SVM?

Tags

1. #between
2. #vectors
3. #class
4. #problems
5. #classes
6. #closest
7. #general
8. #interest
9. #sparse
10. #gives
11. #generally
12. #those
13. #points
14. #better
15. #support
16. #interpretation
17. #perform
18. #models
19. #forest
20. #where
21. #trees
22. #applies
23. #themselves
24. #boundary
25. #performs
26. #random