Example: Le sous-ajustement du modèle réduit sa précision sur les données.
Definition
"Le sous-ajustement" refers to the situation in data analysis and artificial intelligence where a model is too simple or insufficiently trained, causing it to perform poorly by failing to capture underlying patterns in the data, thereby reducing its accuracy and predictive power.
The term "le sous-ajustement" comes from French, combining "sous" meaning 'under' and "ajustement" meaning 'adjustment' or 'fitting.' It literally means 'underfitting,' describing a model that is not adequately adjusted to the dataset. Did you know? This concept is the opposite of 'overfitting,' where a model is too closely fitted to the training data.
Learn to use this word actively
"Le sous-ajustement" appears in the Vocaplus list "French - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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