Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
doesn’t show you the separating boundary, but shows you the regions that the SVM learns as belonging to a specific label. As you can see, the linear kernel completely ignores the red points. It thinks of the whole space as yellow (-ish green). But the RBF kernel neatly carves out a ring for the red