Performance of individual Gradient Boosted Trees
Muhammed_Fatih_
New Altair Community Member
Dear Community,
I have executed the GBT tutorial process and could see that an overall Performance Vector was generated. I assume that the underlying performance values are representative for the sum of the ten GBTs which were generated, right?
Is there a possbility to see the performance development of the intermediate steps or does the algorithm "only" calculates an overall score? So probably, what is the performance of Tree 5?
Best regards
Fatih
I have executed the GBT tutorial process and could see that an overall Performance Vector was generated. I assume that the underlying performance values are representative for the sum of the ten GBTs which were generated, right?
Is there a possbility to see the performance development of the intermediate steps or does the algorithm "only" calculates an overall score? So probably, what is the performance of Tree 5?
Best regards
Fatih
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Answers
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Hi Fatih,i think there is a bit of a misconception. Those trees are not parallel to one another but depend on the proceeding ones. If you want to use a subset of the trees, you would need to evaluate the first 1-k trees compared to the first 1-k+m trees. I don't see a reason to evaluate trees individually.ABoth things are afaik not easily doable.Best,Martin0
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Hi @mschmitz,
thank you for your answer!
Does this mean that the Performance Vector calculates the values for the last (in this case:10th) Decision Tree which is sequentially optimised?
Best regards!
Fatih0 -
Hi,maybe have a look at this kb article: https://community.rapidminer.com/discussion/51258/a-practical-guide-to-gradient-boosted-trees-part-i-regression this should help. Happy to help for further questions.Best,Martin
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