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arXiv Machine Learning By Anthony Lavertu, Jacob Cote, Jacques Corbeil, Sophie Gobeil, Pascal Germain

Refnd: Preventing Data Leakage in Relational Datasets

Read the original on arXiv Machine Learning →

arXiv:2607. 19376v1 Announce Type: cross Abstract: Machine learning models trained on biochemical data are routinely evaluated using splits that fail to account for relational structure, causing information leakage and over-optimistic performance estimates.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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