l influence and occupy a larger portion around itself. Thus, increasing sigma makes the decision boundary more flexible and smooth. As a result,
                                                the SVM does a bit of misclassifications as well. However, this is not a bad thing. Gaussian Kernels, being as powerful as they are, have a very high tendency of overfitting the data. Hence, increasing sigma
                                                tends to reduce overfitting.
                                  