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Check for source overlap before you trust an ML test score

A dataset can have unique row IDs and still leak. For example, a microscopy image might be exported as several crops. A row-level random split can then put crops from the same source image in both train and test. The experiment would measure performance on partly familiar sources. Keep a group ID t…

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  1. 2026-11-13 05:07 · DEV Community — Machine Learning
    Check for source overlap before you trust an ML test score

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