MetricStress: Noise-and-Threshold Stress Test for Imbalanced Model Claims

A fixed-scope audit that perturbs a deployed fraud, default, or churn model with input noise and threshold shifts, then certifies which of its reported metrics (accuracy, precision, recall, F1, MCC) are statistically reliable — flagging accuracy- or precision-only claims on imbalanced data as unreliable.