Unverified50% confidenceBenchmarkExact time
A simple station-month climatology baseline achieved 88.4% accuracy and an AUC of 0.950 in classifying high-rainfall months.
1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedModels including lagged rainfall features achieved a Brier skill score of 0.074 (95% CI 0.064-0.088) relative to climatology for next-day prediction.69% similarUnverifiedA random forest using only calendar features achieved a next-day wet-day AUC of 0.889 under random split, which dropped to 0.835 when transferred to future years, below the climatology baseline's 0.859.69% similarUnverifiedThe ranking ability of listing-time features for settlement disputes reached an AUC of 0.78, but the average precision was only 0.012.66% similarUnverifiediPSAE评分对Binder二分类预测的AUC仅为0.65,远低于可靠分类器水平62% similarUnverifiedAureaCam's composition scoring range is from 0 to 100.60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1114804API
curl https://kongchang.com/api/v1/knowledge/claims/1114804MCP
get_claim(id=1114804)