[KongchangAI]
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Any-of Rule

An aggregation rule in AI evaluation that marks a result as passing if any single run passes. Its error rate decreases geometrically as p to the power of N, forming a mirror image of the unanimous-consistency rule.

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Oct 13

Under the any-of rule (passing if any run passes), at p=0.10 the error rate decreases geometrically with N: 0.0010 for N=3 and 1.000e-10 for N=10.

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