Underfitting

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Glossary

Trainingsfehler

Trainingsfehler in KI und Machine Learning ist die Abweichung zwischen den vom Modell vorhergesagten und den tatsächlichen Ausgaben während des Trainings. Er ist eine wichtige Kennzahl zur Bewertung der Modellleistung, muss jedoch zusammen mit dem Testfehler betrachtet werden, um Überanpassung oder Unteranpassung zu vermeiden.

AI Machine Learning Model Evaluation +2
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