Cross-Validation

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Glossary

Validation croisée

La validation croisée est une méthode statistique utilisée pour évaluer et comparer les modèles d'apprentissage automatique en partitionnant les données en ensembles d'entraînement et de validation à plusieurs reprises, afin de s'assurer que les modèles généralisent bien à des données inconnues et d'aider à prévenir le surapprentissage.

AI Machine Learning Model Evaluation +2
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