pular kernel in use. To control this nature of this kernel, we have two parameters, C and sigma. C is the usual universal parameter for allowing
                                                misclassifications, and for what is called Soft-Margin Classification. However, sigma is a parameter specific to Gaussian Kernel. It is used to basically control the variance of the higher order projection
                                                from the original point. That is, if sigma is higher, a point wil