Computer scienceData scienceMachine learningIntroduction to machine learning

Over- and underfitting

Overfitting markers

Report a typo

Let's imagine we are in the process of model training. We know that overfitting might happen so we decided to check the validation error. In which of these situations can we state that overfitting has taken place?

Select one option from the list

The train error is high, the validation error is low.

The train error is low, the validation error is low.

The train error is high, the validation error is high.

The train error is low, the validation error is high.

___

Create a free account to access the full topic