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Dummy Post: Data Leakage Checklist Before You Train

By Aditya Mishra

A validation-oriented dummy write-up for testing list-heavy content and relatedness around model evaluation topics.

Table of Contents

A fast leakage scan

  • Check whether target-derived columns leak into features.
  • Verify time-based splits when timestamps exist.
  • Confirm feature engineering is fit only on training data.

If a metric feels suspiciously strong, leakage is often a better first hypothesis than breakthrough.

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