L'overfitting



Example: L'overfitting nei modelli di intelligenza artificiale riduce l'accuratezza.

Definition


"L'overfitting" refers to a modeling error in artificial intelligence where a model learns the noise and details in the training data too well, causing poor performance on new, unseen data. It reduces the model's general accuracy and ability to generalize.

Etymology


The term "l'overfitting" combines the Italian article 'l'' with the English word 'overfitting', which originates from 'fit' meaning to adjust or adapt. 'Overfitting' literally means fitting too much, indicating a model that adapts excessively to training data. Did you know it's a relatively modern term coined with the rise of machine learning?

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"L'overfitting" appears in the Vocaplus list "", containing 110 commonly used words.
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