Machine Learning, Svm.
and negative classes. Doing so, we arrive at : y*(w1*x1 + w2*x2 + w0) ≥ 1. Comparing this to the previous in-equation (in bold), we see that the margin, m equals 1. Depending on the hinge-loss function we use, we can change this margin to the value that we want. The optimization algorithm will