The documentation says: The loss function to be used. Defaults to ‘hinge’, which gives a linear SVM. The ‘log’ loss gives logistic regression, a probabilistic classifier. ‘modified_huber’ is another smooth loss that brings tolerance to outliers as well as probability estimates.
When we use 'modified_huber' loss function, which classification algorithm is used? Is it SVM? If yes, how come it is able to give probability estimates, which is something it can't do with hinge loss? Regards, Vikas
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