User 1067 | 3/18/2015, 3:28:39 PM
I read that you use XGboost as a part of your gradient boosted trees toolkit. I am currently experimenting with different python machine learning tools and I compared your gl.boostedtreesclassifier to XGboost on the same dataset. It was slower but the prediction error was better. Is it because gl.boostedtreesclassifier implement other models? Or is it just because I preprocessed my dataset to CSR to use XGboost?