Unverified50% confidenceFactExact time
The root cause of the issue in this case was data leakage in the data split, where random assignment placed nearly duplicate form templates on both the training set and regression test set sides simultaneously
1
Sources
50%
Confidence
Long-term
Relevance
10/2/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSample-level leakage refers to the situation where, when multiple augmented samples originate from the same original sample, if the split is done randomly rather than by original individual, information about the same entity appears in both the training set and the validation set.80% similarUnverifiedPerforming StandardScaler normalization on the entire dataset before the train/test split causes the mean and variance information of the test set to leak into the training set, constituting data leakage.79% similarUnverified冻结基准可能因数据泄露被纳入模型训练数据而随时间失去区分力，这是一个权衡77% similarUnverified在稠密检索中，批内负样本训练要求批次包含有信息量的负样本，随机采样会导致训练损失快速收敛但泛化性能差75% similarUnverified预处理泄漏在小数据集上尤为显著，当训练集仅有数百张图像时加入测试集样本会明显改变均值和标准差估计75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/968365API
curl https://kongchang.com/api/v1/knowledge/claims/968365MCP
get_claim(id=968365)