Does anyone know why most machine learning libraries (notably scikit-learn) implement trees and ensembles of trees based on the CART algorithm? It seems like using other types of trees (See5, MARS) particularly in ensembles could possibly have advantages as these types of trees were specifically developed as improvements to CART/C4.5.
> Does anyone know why most machine learning libraries (notably scikit-learn) implement trees and ensembles of trees based on the CART algorithm? This is just my theory. Because it was the first tree based algorithm and Leo Brieman really did market it out. He even trademark Random Forest. Kinda like how XGboost is doing right now. My professor is also trying to market his version out too. If I get around finishing m…
Re: A Practical Guide to Tree-Based Learning Algorithms
#21A professor who invents his own version of tree but can not program. Seriously. Is this common in academic circles where a computer professor who can not program ?