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by selectron 3685 days ago
The real question though is whether this is because the model is biased, or whether it is because the two populations have different levels of risk. If group A had a higher risk than group B, than I would expect the model to have a higher rate of false negatives for group A than for group B. This is just because the model is more likely to (correctly) assign members of group A as high risk, and some of these classifications will be wrong. To check for bias you have to control for this base rate difference.