Dear all,

Thank you very much for all of your quick and informative answers. The
papers which you introduced really help me.

Cheers,
Hamed



On Thu, Jul 24, 2014 at 1:42 AM, Dayvid Victor <victor.d...@gmail.com>
wrote:

> Wow, I didn't know that. I've seen so many publications (and also used in
> publications)
> using this approximation and calling it AUC (including that survey I
> sent);  But it is always
> good to know the correct terms.
>
> Thanks,
>
>
> On Wed, Jul 23, 2014 at 8:32 PM, Mario Michael Krell <kr...@uni-bremen.de>
> wrote:
>
>> Dayvid, as I said, this metric should be called "balanced accuracy" (BA)
>> to avoid misunderstandings with the real AUC from the ROC curve as stated
>> in the given reference. I also had my autocorrection on: 1 - FP_rate =
>> TN_rate and BA = (TP_rate+TN_rate)/2.  It is not "another" but the same
>> evaluation metric with your formula.
>>
>> Using AUC for this might result in wrong expectations as for example it
>> was done in the old WEKA implementation, where no real AUC was calculated
>> but the BA. Sometimes "simplified AUC" or "one point AUC" is used, too, but
>> BA is shorter and avoids misunderstandings.
>>
>> The concept of the balanced accuracy can be also generalized to an
>> arbitrary number of classes. If the geometric mean is used instead of the
>> arithmetic mean, the metric is called "G-Mean". It is a little less
>> intuitive but is more sensitive to different rates and can be generalized
>> to more than two classes as well.
>>
>> G-Mean = sqrt(TP_rate x TN_rate)
>>
>> On 23.07.2014, at 19:46, Dayvid Victor <victor.d...@gmail.com> wrote:
>>
>> Mario, as I said, the correct would be:
>>
>>    - AUC = (1 + TP_rate - FP_rate) / 2
>>
>>
>> But you are also right, that is another evaluation metric stated in those
>> references I sent!
>>
>>
>>
>>
>> On Wed, Jul 23, 2014 at 2:06 PM, Mario Michael Krell <kr...@uni-bremen.de
>> > wrote:
>>
>>> 1-FN_rate = TN_rate
>>>
>>> Concequently, (1 + TP_rate - FN_rate)/ 2 should be named "Balanced
>>> Accuracy" to avoid misunderstandings. Nevertheless, it is a good choice.
>>>
>>>
>>> On 23.07.2014, at 18:57, Dayvid Victor <victor.d...@gmail.com> wrote:
>>>
>>>
>>> Or you might use the trapezoid aproximation: auc = (1 + TP_rate -
>>> FN_rate)/ 2
>>>
>>>
>>>
>>>
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>>
>>
>> --
>> *Dayvid Victor R. de Oliveira*
>> PhD Candidate in Computer Science at Federal University of Pernambuco
>> (UFPE)
>> MSc in Computer Science at Federal University of Pernambuco (UFPE)
>> BSc in Computer Engineering - Federal University of Pernambuco (UFPE)
>>
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>
>
> --
> *Dayvid Victor R. de Oliveira*
> PhD Candidate in Computer Science at Federal University of Pernambuco
> (UFPE)
> MSc in Computer Science at Federal University of Pernambuco (UFPE)
> BSc in Computer Engineering - Federal University of Pernambuco (UFPE)
>
>
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>
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