Unverified50% confidenceDecision RuleExact time
The high-probability admission rule requires using fresh, independently verified data to judge whether a revision should be adopted, rather than relying on data seen during training.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
Unverified模型晋升需满足更严格条件：要么在两个相互独立的正向窗口上验证通过，要么一个正向选择结果加上一个从未被查询过的全新数据切片76% similarUnverifiedPerforming integrity checks at the data entry point before training can reduce debugging difficulty, avoid wasting training runs due to data defects, and establish basic trust in the dataset75% similarVerifiedNormalization parameters must be calculated only from the training set and then applied to the validation and test sets to avoid data leakage.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1028047API
curl https://kongchang.com/api/v1/knowledge/claims/1028047MCP
get_claim(id=1028047)