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_categorical must be set to True. Invalid columns:td: object, xd: object, ac: object, act: object
Help would be appreciated …
Repository: uisikdag/simple_clasi_ayla
The code can be found as “classify_ayla.py” in the “Files and Versions” section of the repo