Which of the following is an indication of model underfitting? A) High variance in model predictions. B) The model performs poorly on both training and test datasets. C) The model captures all the nuances in the training data. D) The model's performance improves significantly with more training data.
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Overfitting occurs when a model is too complex and captures the noise in the training data, leading to inconsistent predictions on new data. B) The model performing poorly on both training and test datasets is an indication of underfitting. Underfitting occurs Show more…
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