[KongchangAI]
Unverified50% confidenceOpinionExact time

In credit approval, anomalous applications are out-of-distribution cases insufficiently covered by the training data, and the more confident the model is, the higher the cost of error.

1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen

Sources

Related Entities

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/1055034
API
curl https://kongchang.com/api/v1/knowledge/claims/1055034
MCP
get_claim(id=1055034)