You've trained a model and the training score looks very different from the validation score. The team wants to know whether the model is overfitting or underfitting, and what that implies about the current setup.
How would you determine whether a model is overfitting or underfitting?
You've trained a model and the training score looks very different from the validation score. The team wants to know whether the model is overfitting or underfitting, and what that implies about the current setup.
How would you determine whether a model is overfitting or underfitting?
