Subgroup-stratified, calibration-aware fairness auditing for ML models: DeLong AUC confidence intervals, per-subgroup calibration error, multiple-comparison-corrected significance, and a novel five-axis cross-platform protocol (CPFE). Grounded in peer-reviewed methods.
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