Loss At The Hinge And Square Loss At The Hinge
Submitted by Skillsupport | November 22, 2022, 06:49:45 | Technology
With squared hinge loss, the error function becomes more uniform and straightforward to manipulate numerically. Many researchers have found that a squared hinge loss can help improve performance on a specific binary classification problem when the hinge loss is used.
Better probability estimation can be achieved at the expense of precision using the logarithmic loss method. Hinge loss increases precision and sparsity without adding nearly as much sensitivity to probabilities.
Source: https://insideaiml.com/blog/Hinge-Loss-and-Square-Hinge-loss-1068
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