1
$\begingroup$

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)?

$\endgroup$
1
  • $\begingroup$ 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

2
$\begingroup$

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.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.