Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
points are misclassified in the train set? To handle this, we have something called as Soft margin SVM which relaxes some assumptions of hard margin SVM by allowing some misclassifications of data points. This is particularly used when data is not perfectly linearly separable but almost linearly