Unverified50% confidenceDecision RuleExact time
Setting the number of evaluation runs is critical; a single pass does not prove anything, and multiple runs are needed to build confidence in the results.
1
Sources
50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn evaluation set design, a holdout set refers to the portion of data deliberately kept out of the optimization process and used only for final validation, to detect overfitting, provided that the scorer definition reflects the good outputs you truly care about.76% similarUnverifiedA useful decision benchmark should simultaneously report both accuracy and calibration, ensure that evaluation questions match deployment questions, and be able to distinguish strong from weak systems.72% similarUnverifiedWhen evaluating tasks such as persuasiveness detection, it is usually necessary to report the random baseline, the majority-class baseline, and human annotation agreement, in order to judge the true gain of the number 0.57.71% similarUnverifiedWhen introducing probabilistic judgments into production workflows, it is necessary to combine real-task testing, set appropriate thresholds, and retain fallback paths for errors and uncertain situations.71% similarUnverified3次以上的独立采样才能提供足够的方差估计，是生产级提示词评估流程中被广泛采用的最佳实践71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1105633API
curl https://kongchang.com/api/v1/knowledge/claims/1105633MCP
get_claim(id=1105633)