But as the number of dimensions goes up, the number of training examples you need to locate the concept’s frontiers goes up exponentially. With twenty Boolean attributes, there are roughly a million different possible examples. With twenty-one, there are two million, and a corresponding number of ways the frontier could wind between them. Every extra attribute makes the learning problem twice as hard, and that’s just with Boolean attributes.
