You have trained a model that looks strong on the data it learned from, but the team is worried it may not hold up on new examples. You need to decide whether the gap is real or just normal variation.
How would you evaluate whether a model is overfitting?
You have trained a model that looks strong on the data it learned from, but the team is worried it may not hold up on new examples. You need to decide whether the gap is real or just normal variation.
How would you evaluate whether a model is overfitting?
