When an ML Improvement Doesn't Survive Validation
Why an apparent ML gain can disappear under more rigorous validation: statistical uncertainty, selection bias, redundancy, and system-level impact.
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Publications Tags : #Data Leakage
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Building a Temporal ML Ranking System Without Data Leakage
How to avoid data leakage in a temporal ML ranking system: future-only validation, OOF predictions, stacking, and calibration.
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