Why do large margin separators have lower VC dimension?
		• Consider a random set of N points that all fit inside a unit hypercube. • If the number of dimensions is bigger than N-2, it is easy to find a separating plane for any labeling of the points. – So the fact that there is a separating plane doesn’t tell us much. It like putting a straight line through 2 data points. • But there is unlikely to be a separating plane with a margin that is big – If we find such a plane its unlikely to be a coincidence. So it will probably apply to the test data too.