Unverified50% confidenceFactExact time
Appendix B of the AQuA paper documents a case in which the explanation for an early feature passed review, but future information was used when calculating the total daily trading volume as a denominator, constituting data leakage.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
Unverified坎贝尔·哈维等学者的研究表明,金融学术文献中大量被发表的因子可能都是回测过拟合或数据窥探偏差的结果65% similarUnverified数据泄漏是因意外引入测试集信息而导致模型评估虚高的陷阱,常见形式包括在划分数据集之前就对全量数据做标准化或使用时间上因果倒置的特征65% similarUnverifiedRegression tasks require predicting continuous fine-grained numerical values and rely on fine-grained sample information in the history, which is lost when compressed into a compact persona description.65% similarUnverified基准过拟合和数据污染会导致模型通过记忆而非真正理解获得高分,使公开基准分数可信度存疑64% similarUnverifiedThe data quality of records extracted from faxes and scans has a cascading effect—OCR errors can lead to NLP misinterpretations that in turn affect downstream AI decisions—making this a key challenge in healthcare data aggregation.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/901182API
curl https://kongchang.com/api/v1/knowledge/claims/901182MCP
get_claim(id=901182)