Hinge loss is a loss function in machine learning

Machine learning

Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases...

. The hinge loss function is the following:



Hinge loss works well for its purposes in SVM as a classifier, since the more you violate the margin, the higher the penalty is. However, hinge loss is not well-suited for regression-based problems as a result of its one-sided error. Various other loss functions are more suitable for regression.