Jacques Corbeil

Refnd: Preventing Data Leakage in Relational Datasets

Anthony Lavertu, Jacob Cote, Jacques Corbeil, Sophie Gobeil, Pascal Germain

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. Existing splitting methods lack theoretical grounding and scale at best q…Read more