The user wants to understand Underfitting in the context of Machine Learning Foundations and apply it to practical AI governance or compliance work.
Underfitting occurs when a model is too simple or insufficiently trained to capture meaningful patterns in the data. An underfit model performs poorly on both training data and new data because it has not learned the underlying relationships needed for the task.
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