Unverified50% confidenceFactExact time
ECE (Expected Calibration Error) measures the consistency between a model's confidence and its true accuracy; a lower ECE indicates more trustworthy probability outputs.
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10/12/2026
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VerifiedExpected Calibration Error (ECE) bins prediction samples by confidence level, computes the weighted average of the difference between predicted confidence and actual accuracy within each bin, and ideally approaches 0.79% similarUnverified研究者通常使用期望校准误差（ECE）来量化模型的校准程度79% similarUnverifiedThere is an unverified risk with calibration rewards: they may simply flatten the confidence of all outputs toward a middle value, performing well on the ECE metric while losing discriminative information.75% similarUnverifiedThe academic community refers to the phenomenon of significant deviation between a model's confidence and its actual accuracy as Poor Calibration.72% similarUnverifiedCalibrated confidence refers to the consistency between the confidence value output by a model and the actual accuracy rate; a well-calibrated model that claims 80% confidence should have an actual accuracy rate close to 80%.71% similar
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