Unverified60% confidenceFactExact time
Calibration refers to the degree to which a model's expressed confidence matches the actual frequency of correctness, and is commonly quantified using reliability diagrams and Expected Calibration Error (ECE).
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60%
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Long-term
Relevance
7/21/2026
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Related Claims
VerifiedCommonly used calibration evaluation metrics include Expected Calibration Error (ECE) and Reliability Diagrams.85% similarUnverifiedCalibrated probability is a foundational concept in statistics and machine learning; commonly used measurement metrics include reliability diagrams and expected calibration error (ECE), and commonly used post-processing calibration methods include Platt scaling, Isotonic regression, or temperature scaling.79% similarUnverified校准性（Calibration）指模型表达的置信度与实际准确率之间的一致程度，是评估AI模型质量的核心指标之一77% similarUnverifiedA confidence score is the model's quantitative assessment of the reliability of its own answer, usually generated by the model or computed by an additional model; a low confidence score can trigger human review or a downgraded response to avoid error propagation.77% similarUnverifiedCalibration accuracy is a key metric for evaluating an agent's decision quality under uncertainty; it not only examines whether the final answer is correct but also measures whether confidence matches the true probability of correctness.76% similar
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