Evaluation & observability

Evaluation & observability / CASE STUDY

Jevcal: choose confidence thresholds from labeled data

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AI-ASSISTED CASE SUMMARY

Evaluates decision probabilities on labeled examples and compares accuracy, calibration and automation coverage. It helps choose when to accept Jev decisions or escalate them, and supports regression checks when model behavior changes.
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