Question

What is the difference between logistic regression and svm without a kernel? (only in implementation one is much more efficient and has good optimiz

Answer 1

SVM with a linear kernel performs as good as Logistic Regression on high-dimension, high instance datasets. The key difference between them is they have difference loss function. The loss function of LR is negative log loss while SVM has hinge loss