Quote:
Originally Posted by Michal Lewicki
HI,
Could you explain please the role of "decision trees" apprach in ML? Do you find it usefull in comparison to e.g. other classifier algorithms? For what problems?
Regards
Michal
|
Decision trees are a useful model with nice intuition. As with every ML model, there are examples where they perform well and examples where they don't. They benefit quite a bit from aggregation methods (random forests). If I had taught aggregation in more detail, I probably would have used decision trees as an example.