n, that are 'a' and degree. The degree is used to control the dimension of the space where the kernel computes this dot product. 'a' on the other hand is merely
                                                a constant to produce a mixture of terms in that space. A higher degree tends to overfit the data, while a higher 'a', doesn't contribute much to the bias-variance tradeoff. Often, the polynomial kernel
                                                is used with a=1.
                                  