Lesson 5: Underfitting and overfitting Flashcards
1
Q
What is overfitting?
A
Where a model matches the training data almost perfectly, but does poorly in validation and other new data.
2
Q
What is underfitting?
A
When a model fails to capture important distinctions and patterns in the data, so it performs poorly even in training data, that is called underfitting.
