Unverified50% confidenceConceptExact time
Calibration means that when the model outputs 0.9, across a large number of similar samples about 90% are indeed the correct class; an uncalibrated model can have high AUC but its values cannot be used directly as probabilities.
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10/14/2026
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UnverifiedModel calibration refers to the degree to which a model's output probabilities match its actual accuracy rate; for a well-calibrated model, if the probability it gives for a certain type of question is 0.8, then about 80% of such questions are indeed answered correctly.78% similarUnverifiedNone of the 9 models could clearly outperform the "fixed guess of 31%" baseline, with all models' AUC confidence intervals containing 0.5.78% similarUnverified校准的不确定性区间意味着：若模型声称 90% 置信区间为某范围，则在大量测试样本中约 90% 的真实值应落入该范围。77% similarUnverifiedThe probability reported by a model (e.g., 90%) refers to the model's confidence in its own classification judgment and has nothing to do with business urgency.75% similarUnverifiedA confidence score given by a model (e.g., 90%) should not be interpreted as 'the model is correct 90% of the time'; accuracy must be empirically measured using your own samples.75% similar
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