Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
very close to some of the data. The best accuracy is not great, and to get even there, the line nearly straddles a few points. We need to do better. This is where one of my favorite bits about SVMs come in. Here’s what we have so far: we have a technique that is really good at finding hyperplanes.