Last active
July 1, 2023 22:25
-
-
Save talperetz/6030f4e9997c249b09409dcf00e78f91 to your computer and use it in GitHub Desktop.
Hi. Could this code word for a dataset which has non numerical features like sex, city, profession ? And if yes, how ?
Sure thing. This dataset holds only categorical features.
You can see how I treat it here:
catboost.Pool(self.X_train, self.y_train, cat_features=self.categorical_columns_indices),
You can also take a look here at Catboost examples.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Can you explain where the 3-fold AUC data is coming from (how this is calculated)? I can figure out how to get AUC for validation data (for Catboost) but not for test data.