Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
regression so that you can understand logistic regression much better. How does SVM work? The main objective of SVM is to find an optimal hyperplane in an N-dimensional space which separates the classes as widely as possible. Possible hyperplanes and the optimal hyperplane In the above figure(left