Unverified50% confidenceOpinionExact time
In patent search scenarios, the cost of missed detection (low recall) is often higher than that of false detection (low precision), so researchers usually focus more on recall while controlling precision through ranking optimization.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe over-refusal rate and the harmful-output rate exhibit a trade-off during parameter tuning, which in machine learning is known as the precision-recall trade-off.67% similarUnverifiedWhen abstention costs and misclassification costs are on different orders of magnitude, decision boundaries become distorted; for example, estimating the cost of false acceptance at 10,000 and manual review cost at 1 will cause the manual review queue to be overwhelmed.67% similarUnverified在医疗诊断中假阴性代价极高因此召回率比精确率更重要,在垃圾邮件过滤中假阳性代价较高精确率更受关注66% similarUnverifiedWhen a prefix cache hit occurs, inference latency can drop from the second level to the millisecond level, and the cache-hit price offered by various vendors is typically one-tenth or even lower than the cache-miss price.66% 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.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1016085API
curl https://kongchang.com/api/v1/knowledge/claims/1016085MCP
get_claim(id=1016085)