. A Linear Kernel is not a kernel per se, but the simple SVM. As evident, from the name, it finds a linear decision boundary between the classes, and
                                                works well when the classes are linearly separable. However, since the points here, are not linearly separable, we cannot use it to find the perfect decision boundary. What we can do though, is to allow
                                                the SVM to perform some misclassifications in order to achieve 