Basically, the support vector machine is a binary learning machine with some highly elegant properties. Given a training sample, the support vector machine constructs a hyperplane as the decision surface in such a way that the margin of separation between positive and negative examples is maximized.
原文：https://www.cnblogs.com/donggongdechen/p/9941466.html