makes classifications by defining a decision boundary and then seeing what side of the boundary an unclassified point falls on
a classification method that works on the principle of fitting a boundary to a region of points that are all alike
produce models that generalize well, by maximizing the margin between the decision boundary and and the nearest element of each class.