How to flag a model as overfitted

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
1

In MLS course 1 week3, we talked about what overfitting means and how to reduce it.

How do we know whether a model has overfitted the training set? To my knowledge, when the error on training is very low and high on test set, that indicates overfitting.

2

Typically this requires measuring the performance on some data that wasn’t used in training (a test set or a validation set).

3

Hello @Uma_Savili,

You may also want to watch the videos in MLS course 2 week 3 that talks about overfitting and underfitting.

Raymond