Machine Learning, Svm, Loss Function, Data Science.
fitting to the training data and make the model less sensitive to outliers. So with the added regularization term, the total cost function finally looks like: Total cost = ||w²||/2 + C*(Sum of all losses for each observation) where ‘C’ is the hyper-parameter that controls the amount of