Machine Learning, Svm, Loss Function, Data Science.
which means there is no loss and we are more confident of our prediction). This nature of logistic loss might lead to minor degradation in accuracy. Logistic regression has a more probabilistic interpretation. Given this understanding of the hinge loss function for a SVM, lets add a regularization