I could still linearly separate this data set with something like that, but I'm somehow letting one slightly suspicious example skew my entire decision boundary by a lot, and so what I'm going to talk about now is the L1 norm soft margin SVM, which is a slightly modified formulation of the SVM optimization problem. 