Underfitting

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Glossary

Błąd uczenia

Błąd uczenia w AI i uczeniu maszynowym to rozbieżność między przewidywanymi a rzeczywistymi wynikami modelu podczas treningu. Jest to kluczowy wskaźnik oceny jakości modelu, ale należy go analizować wraz z błędem testowym, aby uniknąć przeuczenia lub niedouczenia.

AI Machine Learning Model Evaluation +2
• 6 min read

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