Pattern
Confidence calibration
Verify that a model's stated confidence matches how often it is actually right — and set routing thresholds from the measured relationship — so that a "0.9" means roughly ninety-percent accuracy rather than an arbitrary number the model emitted.
Classification — Checking that a model's confidence matches its empirical accuracy, and tuning thresholds to it.
Full entry
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