FairScoreNormalization Alternatives

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Face recognition models require different thresholds for different races? [D]
2 projects | /r/MachineLearning | 26 May 2023

And yes, there are performance differences between ethnicities. You can either calculate a global decision threshold for all subgroups in your dataset for a given and fixed FMR, or you can apply normalization techniques. You could apply Group Based Score Normalization to calculate different thresholds for your subgroups and then use these in the normalisation procedure when doing the comparison. But when applying these techniques you should check the FNMR at different FMRs.