d the Decision boundary. Polynomial Kernels are used in specific cases, when you know the degree of the decision boundary, because in those cases the polynomial kernel
                                                exploits its advantage of being finite-dimensioned over the likes of the Gaussian RBF kernel. We use two parameters apart from the universal parameter C which is used for allowing misclassifications, and
                                                for what is called Soft-Margin Classificatio