What is Hinge Loss in Machine Learning?
Analytics Vidhya
DECEMBER 23, 2024
Hinge loss is pivotal in classification tasks and widely used in Support Vector Machines (SVMs), quantifies errors by penalizing predictions near or across decision boundaries. By promoting robust margins between classes, it enhances model generalization. This guide explores hinge loss fundamentals, its mathematical basis, and applications, catering to both beginners and advanced machine learning enthusiasts. […] The post What is Hinge Loss in Machine Learning?
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