You've trained a model and the training score looks strong, but the validation score is noticeably worse. The team wants to know whether the model is learning real signal or just memorizing the training set.
How do you detect overfitting?
You've trained a model and the training score looks strong, but the validation score is noticeably worse. The team wants to know whether the model is learning real signal or just memorizing the training set.
How do you detect overfitting?