Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
possible as the real life data always has some misclassifications. The hard margin SVM is sensitive to outliers and noise in the data because even a single outlier can significantly affect the decision boundary and the margin. Therefore, the Maximum Margin M: For mathematical convenience, the