MAE

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Glossary

Mittlerer Absolutfehler (MAE)

Der Mittlere Absolutfehler (MAE) ist eine grundlegende Kennzahl im maschinellen Lernen zur Bewertung von Regressionsmodellen. Er misst die durchschnittliche Größe der Fehler in Vorhersagen und bietet eine einfache und interpretierbare Möglichkeit, die Modellgenauigkeit zu beurteilen, ohne die Richtung des Fehlers zu berücksichtigen.

MAE Regression Machine Learning +2
• 5 min read

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