What is the support vector machine classifier? A practical extension of an ideal classification rule – where the ideal case achieves zero prediction errors, but the extension must compromise via minimal error. The literature calls that ideal classification rule, the “optimal separating hyperplane.” This optimal separating hyperplane must be understood first, before extending to the support vector machine.