Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
and see what the separation boundary looks like: 100% accuracy on the training data and a separating boundary that doesn’t run too close to the data! Yay! The shape of the separating boundary in the original space depends on the projection. In the projected space, this is always a hyperplane.