Unverified50% confidenceFactExact time
Real data caught a bug that synthetic data would never expose: the severity score saturates at 1.0, making services indistinguishable from one another.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe symptom of this bug was that the holdout set score was far higher than similar price-volume features, and the high score could not be reproduced after performing a clean data split again.69% similarUnverifiedData leakage causes models to exhibit inflated test scores that cannot be reproduced in real-world environments.69% similarUnverifiedReliable abstention capability across datasets remains an unsolved problem, as methods that work on one dataset may fail on another.69% similarUnverifiedEvery upgrade of the agent may quietly deactivate the old data pipeline; a passing existence check, a non-empty result set, and numbers that look reasonable are all no proof that the query is still reading a live system.68% similarUnverified错误的归纳偏置会让模型花费容量拟合数据中不存在的虚假模式，导致分布外数据上严重失效68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1054878API
curl https://kongchang.com/api/v1/knowledge/claims/1054878MCP
get_claim(id=1054878)