Machine Learning, Svm, Loss Function, Data Science.
horizontal axis being the confidence of ‘predicted y’ value, if we take a value like ‘1.5’ on x-axis, then the corresponding logistic loss (yellow line) still shows some loss (close to 0.2 from the above plot and hence still not very confident of our prediction), whereas the hinge loss is ‘0’ (