A modeling problem where a machine learning model is too simple to capture underlying patterns in data, resulting in poor performance on both training and test data. Underfitting occurs when models lack sufficient complexity or training time.
A modeling problem where a machine learning model is too simple to capture underlying patterns in data, resulting in poor performance on both training and test data. Underfitting occurs when models lack sufficient complexity or training time.
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