Generalization is standard lingo in machine learning – it's about going from known data (training set / test set) to new data which shares the same underlying patterns but wasn't available at learning time.
Taking the posts simple polynomial example, it would be going from
Taking the posts simple polynomial example, it would be going from
4x^2 + 2x -3 = 0
to
2x^2 -5x +2 = 0
or more generally to
ax^2 + bx + c = 0