Verified75% confidenceFactExact time
Concept drift refers to the mapping relationship between input data and target labels changing over time, which is different from data drift where only the input distribution changes.
3
Sources
75%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified概念漂移是数据底层分布随时间发生的自然变化,而数据投毒是攻击者蓄意制造的分布偏移,两者在实际系统中往往同时存在且难以区分75% similarUnverifiedConcept drift refers to a change in the mapping relationship between inputs and correct outputs itself, for example when an answer that was originally correct no longer holds after business rules are updated.75% similarVerified数据漂移(Data Drift)指生产环境中输入数据的统计分布随时间发生变化,导致模型接收数据与训练时分布不匹配74% similarUnverifiedData drift or concept drift refers to the distribution of real-world data changing over time, which causes ML model accuracy to decline—this is a significant difference between MLOps and traditional software operations.71% similarUnverifiedData drift is a correlational signal rather than a causal signal: distribution shifts do not necessarily cause model errors, and model errors are not necessarily accompanied by detectable drift69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1011899API
curl https://kongchang.com/api/v1/knowledge/claims/1011899MCP
get_claim(id=1011899)