A model performs poorly on both training and validation data. What is the likely problem?
- A Overfitting
- B Underfitting due to insufficient model capacity
- C Too much regularisation is impossible
- 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.





