Lets say:- ML Model denied 1000 transactions FDR= FP/(FP+TP)
I randomly picked 400 accounts and checked if the model denied good user or bad user.
Good user denied- 110
Bad user denied - 290
How will I calculate False Discover rate of the model. Can it be based on the sample that I checked manually and then extrapolate ?