Unverified50% confidenceFactExact time
Calibration means that when a model claims 80% confidence, over the long run about 80% of those are correct; an uncalibrated score is only a relative magnitude and cannot be used as a threshold.
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50%
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Long-term
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10/16/2026
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VerifiedIn a well-calibrated model, an output score of 0.8 should statistically correspond to an actual accuracy of 80%.76% similarUnverifiedCalibration 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.74% 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.72% similarUnverifiedThe original author states that approximately 80% of accuracy issues can be resolved through metadata filtering, but this is an estimate based on personal experience rather than a rigorous statistical conclusion.72% similarUnverified当所有模型在某评测上都能拿90分时该评测就应退场，即基准饱和现象72% similar
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