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About the reason why the thickness of the branches of the decision tree is different

KohsayKKohsayK Member Posts: 2 Learner I
edited March 2022 in Help 
I created a model using a decision tree.
After that, I checked the output result.

It seems that if the number of samples after branching is large, it is thick, and if it is small, it is thin.

But I haven't been confirmed.
Is this interpretation correct?

thank you.
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Best Answer

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 RM Data Scientist
    Solution Accepted
    You are correct, yes.
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany

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