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A model performs poorly on both training and validation data. What is the likely problem?

  1. A Overfitting
  2. B Underfitting due to insufficient model capacity
  3. C Too much regularisation is impossible
  4. D The test set is too small
Answer

Underfitting due to insufficient model capacity

Underfitting is high bias. More training data will not help; a more expressive model, better features or less regularisation will.

All Machine Learning MCQs

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