Unverified50% confidenceFactExact time
Fairness is measured by Equalized Odds, a metric that requires the model to maintain consistent true positive rates and false positive rates across different demographic groups.
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50%
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Long-term
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10/4/2026
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UnverifiedPrecision refers to the proportion of samples the model identifies as positive that are truly positive; recall refers to the proportion of all true positives that the model successfully identifies; the two typically have an inverse relationship.70% similarUnverifiedIn class-imbalance scenarios, a model can achieve seemingly impressive accuracy by always predicting the majority class, a phenomenon known as the Accuracy Paradox.69% similarUnverified对同一测试用例执行多次调用统计成功比例得到通过率,比二元的通过/失败判断更能反映模型真实表现68% similarUnverifiedConfidence is typically represented by the product of per-token probabilities or the sum of their logarithms.68% similarUnverifiedThe theoretical error rate of probabilistic data structures is built on the assumption of uniform hash distribution; if a hash function is biased toward a particular input distribution, the actual false positive rate will be significantly higher than the theoretical value.67% similar
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