Unverified50% confidenceFactExact time
Calibration does not equal high accuracy; a system that reports 95% confidence on everything may still be overconfident or blindly optimistic even if its accuracy reaches 95%.
1
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50%
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Long-term
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10/12/2026
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VerifiedWhen samples are severely imbalanced, Accuracy becomes misleading—a model that predicts everyone as healthy can still achieve an accuracy of over 99%.79% similarUnverifiedGeneral-purpose large models commonly suffer from overconfidence issues in confidence calibration, tending to output confidence levels close to 100%.77% similarUnverifiedPrecision bias refers to the tendency for people to assign higher credibility to statements containing precise numbers; experiments show that subjects rated the credibility of "41.3%" significantly higher than "approximately 40%".76% similarUnverifiedResearch shows that when humans assign 90% confidence, their actual accuracy rate is often only around 70%, indicating a systematic overconfidence76% similarUnverifiedWhen Jev returns a confidence level above 0.95 (approximately 60% of messages), accuracy reaches 95.8%, indicating reliable confidence calibration quality76% similar
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