What is data leakage in supervised learning?

Data leakage occurs when information from outside the training dataset influences the model.

Data leakage happens when training data contains information that would not be available during prediction. This leads to overly optimistic performance and poor generalization. It can occur through improper preprocessing, target leakage, or time-series misalignment.