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  5. Calibration
Evaluation & Benchmarksaka Probability Calibration

Calibration

Calibration describes whether predicted confidence levels correspond to observed outcome frequencies.

Ask Melo about this← all terms

If predictions assigned a given probability are correct at roughly that rate, the system is calibrated for that group and setting. Reliability diagrams and proper scoring rules can reveal overconfidence or underconfidence.

Related terms

AccuracyROC AUCExact MatchPass at KVideo-MMEHallucination

Where Calibration comes up

  • OpenAI Decisions API Developer Verdict: Day-One Tests vs Jev
  • Neuralink Pretrains Brain-Computer Interface Encoders on 50,000 Hours of Unlabeled Neural Data
  • What Are Decision Models? The Practitioner Category Guide
  • LLMs Repeat 96% of Jev-Style Confident Errors, Undermining Eval Cascades