Support Vector Machine, Support Vector Classifier, Kernel Trick, Rbf, Polynomial.
hyperplane margin, ϵ = the error we have allowed to make some amount of misclassification, C = maximum value of summation of all errors(ϵ). Strength of regularization is inversely proportional to the parameter C. In order to find the maximum margin we have to maximize the margin between data points