Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
perfectly, but if it sees a test point that’s a little farther out from the clusters, there is a good chance it would get the label wrong. The second line doesn’t have this problem. For example, look at the test points shown as squares and the labels assigned by the classifiers in the figure below.