Question: What happens to a model that is neither well-trained on data nor can generalize to new information.
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Answer:
Underfitting refers to a model that can neither model the training data nor generalize to new data. An underfit machine learning model is not a suitable model and will be obvious as it will have poor performance on the training data.
Answered by
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Answer:
sory don't know about that
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