What Is Target Leakage—and Why Can It Make a Model Look Better Than It Is?
Target leakage happens when a model is trained on information that would not be available at prediction time. A measured example: one leaked column lifted ROC AUC from 0.81 to 0.96 on the same 8,238 held-out calls.