MACHINE-LEARNING-LITERACY5 MIN READ
Read the Fairness Gap Behind the Average
Interpret subgroup metrics to explain why average accuracy alone is not enough for a consequential model launch.
Read the launch-review metrics and decide what they imply. Underwriting Model Review Overall validation accuracy All validation applicants 91% Recall for established-credit applicants Qualified cases correctly recognized 88% Recall for new-to-credit applicants 61% False-positive rate for established-credit applicants Incorrectly flagged as risky 6% False-positive rate for new-to-credit applicants 19% Cases manually reviewed last month Potential appeal and audit sample 420
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