Unverified50% confidenceFactExact time
在Elo系统中,若模型A评分为Ra、模型B评分为Rb,A获胜的期望概率为1/(1+10^((Rb-Ra)/400))
1
Sources
50%
Confidence
Long-term
Relevance
8/18/2026
First Seen
Sources
Related Claims
Unverified在Elo系统中评分差400分意味着强者的预期胜率约为91%,A获胜概率为1/(1+10^((Rb-Ra)/400))78% similarUnverifiedText Arena使用Bradley-Terry模型作为底层概率框架,模型A获胜的预期概率为1/(1+10^((Rb-Ra)/400))74% similarUnverifiedAUC的取值范围在0到1之间,数值越大代表模型分类能力越强66% similarUnverified期望校准误差(ECE)通过将预测样本按置信度分桶,计算每桶内预测置信度与实际准确率之差的加权平均值,理想情况下趋近于065% similarUnverified在Elo评分体系中,当两个模型分数差距在30-50分以内时,通常被认为处于统计不可区分的水平65% similar
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