Unverified50% confidenceFactExact time
In rare-positive scenarios (such as fraud, abuse, and defect detection), AUC may look high, but because the negative pool is enormous, even a low false-positive rate produces many false alarms, resulting in very low precision.
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50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
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Related Claims
UnverifiedWhen the ratio of positive to negative samples is extreme, the area under the PR curve (AUPRC) is often more revealing of true performance than AUC.73% similarUnverifiedAUC将所有阈值下的表现等权平均，掩盖了在特定低误报率工作阈值下的真实表现，在高安全场景可能给出误导性评估72% similarUnverifiedIn scenarios with extreme class imbalance (such as fraud detection), looking solely at accuracy as an evaluation metric is completely meaningless.71% similarUnverifiedAverage accuracy masks distributional skew; a judge that gets all easy cases right and is overconfident on hard cases can post a high average score while failing at critical points.69% similarUnverifiedIn introspection-style deception tests, the probe needs to distinguish conversation records containing the model's true hidden objective from records containing other objectives, and the probe's AUC reaches as high as 99.7%.68% similar
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