Question: When the gap between training and testing learning curves is large and does not get narrowed, what is most NOT likely to do ? Change

When the gap between training and testing learning curves is large and does not get narrowed, what is most NOT likely to do?
Change the ML algorithm to more sophisticated one
Increase the training data
Increase the regularization parameter
Add noise to the training data.

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