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