Computer scienceData scienceMachine learningIntroduction to machine learning

Over- and underfitting

How to avoid overfitting?

Report a typo

Let's suppose overfitting is still happening. We know that worsens our model's results so we are trying to get rid of it. What are our possible steps to take to avoid it happening?

Select one or more options from the list

Use a regularizer to penalize our model for large coefficients.

Change the validation set.

Try tuning some hyperparameters.

___

Create a free account to access the full topic