Loss functions for classification: Difference between revisions

Revision as of 19:07, 4 January 2023

Revision as of 15:59, 16 February 2023

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\frac{\partial \phi(f)}{\partial f}\eta + \frac{\partial \phi(-f)}{\partial f}(1-\eta)=0 \;\;\;\;\;(1)

</math>{{Citation needed}}{{Clarify|reason=What is η?}}

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which is also equivalent to setting the derivative of the conditional risk equal to zero.