Help Needed-XGBoost Tabular Classification
I am trying to run an XGBoost model for Tabular Classification and get the following error.DataFrame.dtypes for data must be int, float, bool or category. When categorical type is supplied, The experimental DMatrix parameterenable_categoricalmust be set toTrue. Invalid columns:td: object, xd: object, ac: object, act: objectHelp would be appreciated …Repository: uisikdag/simple_clasi_aylaThe code can be found as “classify_ayla.py” in the “Files and Versions” section of the repo