Comment by amrrs

The benchmark scores seem to have been measured against Kaggle dataset which makes the scores more reliable and also with Categorical Features support and less tuning requirement, Catboost might be the ML library XGBoost enthus might have been looking for, but on the contrary, how come a Gradient Boosting Library making news while everyone's talking about Deep learning stuff?