Machine Learning, Svm, Loss Function, Data Science.
hinge loss increases linearly with y (one-sided error). SVM uses hinge loss where as logistic regression using logistic loss function for optimizing the cost function and arriving at the weights. The way the hinge loss is different from logistic loss can be understood from the plot below (from