How Accurate Is Your Model Right Now? Estimating Accuracy Without Labels
Label-free accuracy estimation under data shift — and the monitoring sidecar that uses it. Scope note: two intent-classification datasets (Banking77, CLINC150), one ModernBERT-base classifier each, rule-based shift ladder. No vision, no NLU, no frontier models. The problem Your model was 91% accura…
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- 2026-10-04 17:26 · DEV Community — Machine Learning
How Accurate Is Your Model Right Now? Estimating Accuracy Without Labels