vectors so we have D plus which is the shortest distance to the closest positive point and D minus which is the shortest distance to the closest negative point and then we have the margin of a separating hyperplane which is the positive plus the negative the line or decision boundary that segregates the two classes is commonly referred to as a hyperplane because s VMs can be used in multi dimensional data sets and the data points are referred to as vectors as they have coordinates within the space of data so