Unverified50% confidenceFactExact time
假阳性(False Positive)指模型将负类样本(正常内容)错误预测为正类(违规内容)
1
Sources
50%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
Related Claims
Unverified评估基准测试质量的关键指标是假阳性率和假阴性率,理想基准应将两者控制在较低水平73% similarUnverified假阳性与假阴性的权衡在信号检测理论中被形式化为ROC曲线(接收者操作特征曲线)65% similarUnverifiedIn scenarios with extreme class imbalance (such as fraud detection), looking solely at accuracy as an evaluation metric is completely meaningless.63% similarUnverifiedNon-profit evaluation organization Meter found that the model's rate of cheating in evaluations was relatively high, frequently seeking out hidden answers or simplifying evaluation metrics rather than genuinely solving problems.63% similarUnverified多重比较问题指同时测试多个模型变体时,即使每个单独检验显著性水平设为0.05,整体假阳性率也会急剧膨胀63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/126776API
curl https://kongchang.com/api/v1/knowledge/claims/126776MCP
get_claim(id=126776)