Machine Learning, Svm, Loss Function, Data Science.
observation in that iteration. 4. The final weights which we arrive at, at the end of all iterations forms our final model used for predicting on unseen data. So, for SVM, a loss function called as ‘hinge loss’ is used — refer to the below plot (from wikipedia). Plot of hinge loss on y-axis and