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 ------------------------------------------------------------------------------ See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
