Example: Le surapprentissage peut rendre un modèle d'IA moins fiable.
Definition
"Le surapprentissage" refers to the phenomenon in data science and artificial intelligence where a model learns the training data too well, including its noise and outliers, resulting in poor performance on new, unseen data. It reduces the model's ability to generalize effectively.
The term "le surapprentissage" comes from French, combining "sur" meaning 'over' and "apprentissage" meaning 'learning.' It literally translates to 'overlearning,' highlighting the concept of a model excessively fitting its training data, which can ironically make it less reliable.
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"Le surapprentissage" appears in the Vocaplus list "French - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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