In this example a two-class support vector machine classifier is trained on a
2-dimensional randomly generated data set and the trained classifier is used to
predict labels of test examples. As training algorithm the LIBSVM solver is used
with SVM regularization parameter C=1 and a Gaussian kernel of width 2.1.

For more details on LIBSVM solver see http://www.csie.ntu.edu.tw/~cjlin/libsvm/
