Unverified50% confidenceBenchmarkExact time
研究表明将收入从精确值泛化为5个区间可能导致模型AUC下降2-5个百分点
1
Sources
50%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
UnverifiedIn highly imbalanced datasets (with a positive rate below 5%), the area under the precision-recall curve (AP) often reflects the model's ability to detect the minority class better than AUC does.70% similarUnverified2024年多项研究发现，部分模型在去污染版本的评测集上得分下降幅度可达10-20个百分点68% similarUnverified国际货币基金组织(IMF)2017年研究表明，全球主要发达经济体劳动份额普遍下降约5个百分点，美国降幅尤为突出67% similarUnverifiedWhen the ratio of positive to negative samples is extreme, the area under the PR curve (AUPRC) is often more revealing of true performance than AUC.66% similarUnverified虽然大模型单位Token成本在下降，但企业总体AI支出可能因使用量增长而不降反升65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/735546API
curl https://kongchang.com/api/v1/knowledge/claims/735546MCP
get_claim(id=735546)