In this experiment a linear SVM is trained on a linearly separable two-dimensional data set consisting of two classes, that is a subset of the Wine data set. The classification accuracy of the linear SVM is determined on the data set.
Figure 8.6. A linearly separable subset of the Wine data set [UCI MLR] used in the experiment (2 of the total of 3 classes and 2 of the total of 13 attributes was selected).
The figure shows that the linear SVM perfectly classifies all training examples.