[prog_1]

you surely mean that both are ensemble models. RFs and GBMs differ in how they fit the data

[jncfhnb]

A GBM like XGBoost is an ensemble of trees. It may be that when you load RandomForest modules they fit based on entropy or whatever the typical DecisionTree does but imo the term “random forest” should really convey nothing more than “ensemble of trees”.

I’m saying XGBoost would be a subclass of RF