Figure 2

Support vector classification (SVC). Illustration of an SVC classification function represented by w ^T x. The slack variables ξ _i =y _i w ^T x facilitate the trade-off between the size of the margin (indicated by a gray tube) and the error due to misclassifications. w denotes the weight vector, y _i the label of instance i, and x is the feature vector. ξ _i can assume a positive value between 0 and for 1 for training instances located in the margin. For instances on the wrong side of the margin ξ _i is less than 0. Support vectors are indicated by a red ring.