Example: Unteranpassung kann die Genauigkeit von KI-Modellen stark verringern.
Definition
"Unteranpassung" refers to the situation in data science and machine learning where a model is too simple to capture the underlying patterns of the data, resulting in poor performance and low accuracy on both training and new data sets.
Translations
underfitting
subajuste
onderaanpassing
subajustament
sous-ajustement
Etymology
The term "Unteranpassung" comes from German, combining 'unter-' meaning 'under' and 'Anpassung' meaning 'adjustment' or 'fitting.' It literally means 'underfitting,' describing models that do not fit the data well enough. Did you know this concept is crucial in balancing model complexity?
Learn to use this word actively
"Unteranpassung" appears in the Vocaplus list "German - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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