The Random Forest Through Xgboost

[damienbenveniste]

The implementation of Random Forest through Xgboost is not truly Random Forest as defined by Breiman, am I correct? In the Xgboost case the features seems to be sampled at random once for each tree where for the Breiman RF, the features are selected at random at each decision node of each tree. Additionally the Breiman RF has the samples selected at random with replacement where I don't think it is the case for Xgboost. I am glad to be able to discuss those in more details. Thanks