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.


Best Answer

  • Options
    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,525 RM Data Scientist
    Solution Accepted
    You are correct, yes.
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany


Sign In or Register to comment.