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L. Oneto

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Open access Aug 2026

Eleven quick tips to reduce overfitting in machine learning

Eleven practical tips for reducing unintentional overfitting in supervised biomedical machine learning studies are presented and stress principled data splitting, domain-informed preprocessing, controlled model complexity, systematic tuning, comprehensive performance evaluation, and robustness analysis.

D. Chicco, L. Oneto · 0 citations

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