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#1
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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 |
#2
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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.
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Where everyone thinks alike, no one thinks very much |
#3
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Thanks a lot.
Regards Michal |
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