Support Vector Machine, Kernel Trick, Svm, Soft Margin Svm, Kernel.
dimension, there are chances that we may overfit the model. Thus choosing the right kernel function (including the right parameters) and regularization are of great importance. Also we need to play wisely with the regularization parameter C and the kernel parameter gamma. The regularization