Is that CART? Why not using C5.0 tree?

A perhaps more general question:

Since C5.0 tree frequently have better performance than CART, why people still use CART to build random forest (or people already are doing this)?

  • $\begingroup$ I suspect primarily this is because CART has always been open-source, while C5.0 started out largely proprietary. See also stackoverflow.com/q/9979461/10495893 $\endgroup$
    – Ben Reiniger
    Commented Feb 17, 2020 at 3:57

1 Answer 1


My experience is with sklearn and python.

A Random Forest is a bagging of decision trees, the sklearn package uses a Decision Tree Classifier which is a CART.

You can see in this post that I made a bit ago of how to build a Random Forest tree the exact same as a decision tree.


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