Squared hinge loss: Revision history

21 March 2023

• curprev 22:2722:27, 21 March 2023‎ Walle talk contribs‎ 2,689 bytes +2,689‎ Created page with "{{see also|Machine learning terms}} ==Squared Hinge Loss== Squared hinge loss, also known as the squared variant of the hinge loss, is a popular loss function in the field of machine learning and support vector machines (SVM). It is a modification of the standard hinge loss function that provides better convergence properties and smoothness, while still maintaining the ability to handle non-linear classification problems. The squared hinge loss function can be us..."