Unverified50% confidenceBenchmarkExact time
The model achieves a macro-average F1 of 95.92%, a weighted F1 of 96.83%, and a binary F1 of 93.94%.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe model's F1 score is 72%, and the data has a severe class imbalance with a ratio of 89:11.75% similarUnverifiedThe framework achieved a precision of 0.82, a recall of 0.85, and an F1 score of 0.82.74% similarUnverifiedCSP improves the F1 score for rule consistency determination from 0.90 to 0.94.70% similarUnverifiedThe standard normal quantile z-value corresponding to the 95% confidence level is approximately 1.96.69% similarUnverifiedThe OCR model achieves an F1 score of 87% on a real invoice dataset.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/975525API
curl https://kongchang.com/api/v1/knowledge/claims/975525MCP
get_claim(id=975525)