Overfitting is expected when we observe that?

1. AWith training iterations errors on the training set as well as the test set decrease
2. BWith training iterations error on the training set decreases but the test set increases Q
3. CWith training iterations errors on the training set as well as the test set increase
4. DWith training iterations training set as well as test error remain constant

Pick an option to check yourself, or open the answer below.

Show answer & explanation

Correct answer: B. With training iterations error on the training set decreases but the test set increases Q

Explanation

Overfitting shows when training error keeps falling while test (validation) error starts rising: the model is memorizing noise.