2013/7/19 Arnaud Joly <[email protected]>:
> You can probably average the precision recall curve
> or use some ranking metrics [1].
>
> Arnaud
>
> [1]  Mining Multi-label Data
> http://lkm.fri.uni-lj.si/xaigor/slo/pedagosko/dr-ui/tsoumakas09-dmkdh.pdf

This paper indeed suggests to use micro and macro averaging for all
label binary measures (such as precision, recall, f1 and ROC-AUC). We
already do it for precision, recall and f1. We could add micro and
macro averaging for ROC-AUC and PR-AUC.

--
Olivier

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