: Vocabulario de PLN: overfitting

NLP methods and tools > artificial intelligence > machine learning > learning problem > overfitting

overfitting

Overfitting occurs when a machine learning model learns to perform exceedingly well on the training data but poorly on new, unseen data. This usually happens when the model memorizes the training data rather than learning the underlying patterns, making it less generalizable to new data. (Ubiquity, Glossary of terms related to Generative artificial intelligence)

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