Machine Learning, Svm, Loss Function, Data Science.
outlier in our data, the logistic loss (due to its diverging nature) will be very high compared to the hinge loss for that outlier. This means greater adjustments to our weights. Note that the logistic loss does not go to zero even if the point is classified sufficiently confidently — The