Machine Learning, Svm.
regularization parameter of ‘C’ in the cost function, that we discussed in Part#1, we indirectly manipulate the margin ‘m’ for each observation ((x1i, x2i) and thereby tune the amount of cushion / slack, we agree to, in mis-classifying the data. If ‘C’ is chosen higher, then we allow more cushion