What is feature leakage and how does it affect feature engineering?

Updated May 16, 2026

Short answer

Feature leakage occurs when training data contains information that would not be available at prediction time.

Deep explanation

Leakage leads to overly optimistic model performance and poor generalization. It can occur through improper preprocessing, future data inclusion, or target encoding mistakes.

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Real-world example

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Common mistakes

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