Just what the title says. In every model we try to approximate a function
$$Y = f(X) + \epsilon$$
Assume we that $Var(\epsilon)=0 \forall X$. However, the train/test set correspond to different sets of $(X, Y)$ pairs. In that scenario, is overfitting possible?