Unverified50% confidenceFactExact time
In a facial recognition system with 99.9% accuracy, if there are only 10 real targets among 1 million people, approximately 99% of the roughly 1,010 alerts generated would be false positives.
1
Sources
50%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
Related Entities
Related Claims
Unverified即便单字符识别准确率达到99%,对于一个包含10个字符的字段,其整体正确率也仅约90%,这被称为"准确率衰减效应"70% similarUnverifiedIn the configuration using ten policy snapshots, using only 8 prompts achieved an average accuracy of 24.09%, approaching the 24.51% achieved with 14,080 prompts.69% similarUnverifiedThe 98% score from a single classification is the confidence level for that message's corresponding category, and does not represent an overall model accuracy of 98%.68% similarUnverifiedIn a fraud detection task with a positive-to-negative sample ratio of 1:99, a model that predicts all samples as 'non-fraud' can still achieve 99% accuracy.67% similarUnverifiedPangram claims to have 99.98% accuracy, 17 million users, and a reported false positive rate of approximately one in ten thousand67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/959690API
curl https://kongchang.com/api/v1/knowledge/claims/959690MCP
get_claim(id=959690)