Why You Should Build XGBoost Models Within H2O - Sefik Ilkin Serengil

#artificialintelligence 

XGBoost triggered the rise of the tree based models in the machine learning world. It earns reputation with its robust models. Its built models mostly get almost 2% more accuracy. On the other hand, it is a fact that XGBoost is almost 10 times slower than LightGBM. Speed means a lot in a data challenge.

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