PyCaret 2.2.0 # how to get evaluation metrics for predict_model. I already have train and test data

[onkarS23]

Hi everyone
I am beginner in coding and recently learn about PyCaret and thought to apply on my classification task.
My problem is I have train and test data and when i am trying to predict_model I am only getting the label and score on test data but not the accuracy, AUC and other evaluation matrix. I used one line code --> predict_model(tuned_catboost, data=test). If i remove test data from here then it is showing all evaluation matrix but that is not on my test data (the result is showing from training data from which it use some part as test I think that is by default )
If you know how to solve my problem. I will really appreciate your help.
Thank you
PS: there are lot of tutorials available but no one addressed this problem.