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2467Unsupervised Preprocessing Can Still Distort EvaluationWhy can fitting an unsupervised step like PCA or quantile normalization on all rows still make the final reported test error too optimistic?机器学习简单essay未尝试免费2468Group Leakage Inflates Confidence TooWhy does entity overlap across train and test typically make confidence intervals and model-stability assessments look better than they really are?机器学习中等essay未尝试面试订阅2469Why Point-in-Time Feature Stores MatterA team says they can avoid leakage by using the latest vendor table everywhere because the values are more accurate. What core point about deployment reality are they missing?机器学习中等essay未尝试免费2470Rare Category Thresholding After Seeing Test CompositionSuppose you choose the minimum frequency for keeping a category only after inspecting how many rare categories appear in the test set. Why is that already a contaminated design choice?机器学习困难essay未尝试面试订阅