Machine Learning, Data Science, Overfitting, Underfitting.
and val/test error is large too. Overfitting means that your model makes not accurate predictions. In this case, train error is very small and val/test error is large. When you find a good model, train error is small (but larger than in the case of overfitting), and val/test error is small too. In