Your fraud model's input statistics look totally normal (same amount ranges, same countries), but its accuracy on freshly labeled cases has been sliding for a month. Which kind of drift is this?
Your fraud model's input statistics look totally normal (same amount ranges, same countries), but its accuracy on freshly labeled cases has been sliding for a month. Which kind of drift is this?