Loss functions for classification: Difference between revisions

Revision as of 15:59, 16 February 2023

Revision as of 17:59, 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|date=February 2023}}{{Clarify|reason=What is η?|date=February 2023}}

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