Unverified50% confidenceFactExact time
The harmonic mean is sensitive to weak links; as long as performance in any one dimension is poor, the overall score will be noticeably pulled down.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe low recall indicates that relying solely on the top two principal axes with the greatest variance cannot cover all style dimensions that humans care about; extending to more principal components can improve recall but introduces noisy axes that cause precision to decline.76% similarUnverifiedMulti-position aggregation is highly effective against local perturbations (loss ≤ 0.5 percentage points), but can only attenuate distributed perturbations, with performance still dropping by approximately 3.8 percentage points.75% similarUnverifiedImproving a fairness metric along one dimension may reduce overall accuracy or harm fairness along other dimensions.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001570API
curl https://kongchang.com/api/v1/knowledge/claims/1001570MCP
get_claim(id=1001570)