Which term refers to the error introduced by the tendency of a model to fit the training data too closely, capturing noise?

  • Bias
  • Overfitting
  • Underfitting
  • Variance
Overfitting is the term used to describe when a model fits the training data too closely, capturing noise and leading to poor generalization on unseen data. It results in a high variance.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *