# How to find False discovery rate of a ML model? Situation explained below

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

In your case, you can estimate the FDR by $$110 / 400 = 27.5\%$$