AI Theory

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Glossary

Generalisierungsfehler

Der Generalisierungsfehler misst, wie gut ein Machine-Learning-Modell auf unbekannte Daten vorhersagt, indem er Bias und Varianz ausbalanciert, um robuste und zuverlässige KI-Anwendungen zu gewährleisten. Entdecken Sie seine Bedeutung, mathematische Definition und effektive Techniken zu seiner Minimierung für den Erfolg in der Praxis.

Machine Learning Generalization Model Evaluation +2
• 5 min read

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