Support Vectors and Linear Separability The ideas behind SVMs are shown in the graph in Figure 2. The goal of an SVM is to find the line that best separates two classes, where best separation means ...

The goal of an SVM is to find the hyperplane that maximises the margin between the classes, resulting in a more robust classification. SVMs use the concept of support vectors, which are the data ...