Glossary › Data Leakage

Data Leakage

When information from the future or from the target variable leaks into the training features, inflating offline metrics. The model appears accurate but fails in production because the leaked feature is not available at prediction time. Common sources: computing features using data after the event timestamp, including derived features that encode the label.

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Where Data Leakage shows up

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ML FoundationsINTERMEDIATE13 min read

Data Cleaning and Feature Engineering

Better data beats better algorithms every time. This guide covers missing values, outliers, categorical encoding, feature engineering, and the silent killer - data leakage.

#data-cleaning#feature-engineering#pipelines

ML FoundationsINTERMEDIATE7 min read

Feature Engineering and Data Leakage Defense

Teach the practical levers that often matter more than algorithm novelty in real datasets.

#feature-engineering#sklearn#evaluation