Unverified50% confidenceBenchmarkExact time
The expected calibration error (ECE) of the initial model was 0.117.
1
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50%
Confidence
Long-term
Relevance
10/20/2026
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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 0.78% 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78% similarUnverifiedThe Expected Calibration Error (ECE) increased in seven out of eight event pairs, and in affected scenarios, 12%–51% of the area was confidently mislabeled by the model with near-zero accuracy.77% similarUnverifiedOn a test set of 333 articles and 1,218 prompts, Fiorillo v0.5 achieved an Expected Calibration Error (ECE) of 0.0168, well below the preset upper limit of 0.05.75% similarUnverifiedECE (Expected Calibration Error) measures the consistency between a model's confidence and its true accuracy; a lower ECE indicates more trustworthy probability outputs.71% similar
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