I'm trying to implement a C4.5 decision tree using pandas and sklearn but in sklearn's documentation, the algo they use is CART.
What's the best way to go about in doing this?
C4.5 is very similar to CART. I don't think you will find any significant difference in your results.
If you really need a pure C4.5 algorithm, we can try the following implementation in Python:
https://github.com/geerk/C45algorithm
You just have to make sure you can map your pandas data frame into a dict, as follows:
{ "': [], "': [], ... }
Hi,
Python’s sklearn package should have something similar to C4.5 or C5.0 (i.e. CART).
A useful link:
Cheers
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