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


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.

Duplicate Docs Excel Report

None found

Similar Docs  Excel Report  more

None found