Dear Mario,

Yes of course. Sorry I forgot to mention GMeans. It is also one of the
measures which have been used frequently.

-- Hamed



On Tue, Jul 29, 2014 at 2:24 AM, Mario Michael Krell <[email protected]>
wrote:

> Dear Hamed,
>
> I think it would be a good idea to also consider gmean when extending
> scikit. It is the geometric mean of TNR and TPR instead of the arithmetic
> mean used for the balanced accuracy.
>
> Greets
>
> Mario
>
> On 28.07.2014, at 19:00,
> [email protected] wrote:
>
> Dear Joel,
>
> Sorry for the delay. I was in a trip and I couldn't check my email.
>
> To the best of my knowledge and according to the kind responses in this
> email thread, we cannot claim that an specific measure is better than the
> others for imbalanced data. In other words, there are some evaluation
> measure suitable for imbalanced data and each of them has its own
> advantages. Hence, choosing the best evaluation measure totally depends on
> the application which you are working on.
>
> Anyway, "Matthew's Correlation Coefficient", "AUC of ROC", "F-measure",
> "Balanced Accuracy", and generally "Weighted Accuracy" have been used
> frequently in the literature. Among these measures, only "balanced
> accuracy" is not developed in scikit-learn and I think it is worthwhile to
> add it to this library. I have developed it before and if you want I can
> add it to the project or send it to you.
>
> Kind Regards,
> Hamed
>
>
>
>
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