I want to detect data drift on a dataset that has 54 binary categorical features?
Which method would work better if I want to compare the features separately? KL Divergence vs Z Test.
The size of dataset is very huge.
Also, if I want to consider all the features together and detect the data drift which method would be the most appropriate in this case??
