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Ive tried to understand what the ROC Curve represents and what EER (Equal Error Rate) means. And I somehow think I got to understand some of the explanations I read on the internet and videos I watched and papers I read. But I still cant get a grip on what it means in my particular case.

I am reading a paper on face verification. The described method is trained and tested on the "Labeled Faces in the Wild"-Benchmark. That benchmark offers a standard dataset for comparison to other face-verification-methods. It essentually is a huge database of image-pairs which each depict the same or different persons. The methods at hand should now tell if the depicted persons on these image-pairs are the same or different people. The machine learned method is evaluated with a measure called ROC-EER and the score/result is stated in percentage. And they also evaluated by doing a 10-fold cross validation (which I actually do understand and know what is being done and why)

For example: ROC-EER, %: 89.5

So I just dont know what that 89% should tell me? 89% of what is what? And how does that value correlates to the 10-fold cross validation procedure?

And I even dont know If I am missing some information for you to answer a complete question...I feel a bit lost here :)

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  • $\begingroup$ Please, could you link the paper and/or some explanation of EER? I haven't met the term before, although I could make guesses what the term may mean... $\endgroup$ – cbeleites supports Monica Jan 28 '15 at 8:02
  • $\begingroup$ The paper can be found here google.de/… and the explanations in question are on page 6 and the table on page 7 $\endgroup$ – degill Jan 28 '15 at 8:28
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The paper you link explains ROC-EER as

Receiving Operating Characteristic Equal Error Rate (ROC-EER), which is the accuracy at the ROC operating point where the false positive and false negative rates are equal

So the EER is a way to fix the working point (= threshold for deciding the class) for an actual classifier on the ROC.

So the 89% you quote are then the overall accuracy if you fix the threshold according to the ROC-EER method.

Cross validation is the method ("measurement schedule") how they measured the 89%

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