Credit Score Estimation
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Assume we have some credit model, which has a calibrated (up to some error) score of how credit-worthy any individual person is.
For example, if the model’s estimate is 83% then we can assume the actual score is between 81% and 85%.
If we take 83% as a score cutoff and deem everyone above that score as credit-worthy, are we over-estimating or underestimating the actual population’s credit score?
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