Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
our goal is to choose a hyperplane with the greatest possible margin. This is because if the margin is high then the chance of misclassification would reduce. Thus the generalization error (i.e., accuracy on the future unseen datapoint) will improve. Logistic Regression Vs  Often times I get