Thanks for all the suggestions. I will try them and let you know. El 10/09/14 16:46, "Andy" <t3k...@gmail.com> escribió:
>On 09/10/2014 09:07 AM, Gael Varoquaux wrote: >> How are you measuring your errors? If you are using the zero-one loss >> (accuracy score), you are taking in account only the binary decisions, >> and not a possible decision function. I have found that in the situation >> of unbalanced classes, it could be useful to threshold the decision >> function at a different value than 0, to maximize the left-out accuracy >> score. >> >> Of course, that's an extra hyper-parameter, and I don't have a great way >> to set it. >> >> G > >I usually use AUC or AP for this setting, which means you don't have to >set a threshold. > >I would try to pick a class weight that optimizes AUC. The "auto" class >weight is just a heuristic which works often but is in no way guaranteed >to give good results. > >-------------------------------------------------------------------------- >---- >Want excitement? >Manually upgrade your production database. >When you want reliability, choose Perforce >Perforce version control. Predictably reliable. >http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clkt >rk >_______________________________________________ >Scikit-learn-general mailing list >Scikit-learn-general@lists.sourceforge.net >https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ________________________________ Este mensaje y sus adjuntos se dirigen exclusivamente a su destinatario, puede contener información privilegiada o confidencial y es para uso exclusivo de la persona o entidad de destino. Si no es usted. el destinatario indicado, queda notificado de que la lectura, utilización, divulgación y/o copia sin autorización puede estar prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, le rogamos que nos lo comunique inmediatamente por esta misma vía y proceda a su destrucción. The information contained in this transmission is privileged and confidential information intended only for the use of the individual or entity named above. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this transmission in error, do not read it. Please immediately reply to the sender that you have received this communication in error and then delete it. Esta mensagem e seus anexos se dirigem exclusivamente ao seu destinatário, pode conter informação privilegiada ou confidencial e é para uso exclusivo da pessoa ou entidade de destino. Se não é vossa senhoria o destinatário indicado, fica notificado de que a leitura, utilização, divulgação e/ou cópia sem autorização pode estar proibida em virtude da legislação vigente. Se recebeu esta mensagem por erro, rogamos-lhe que nos o comunique imediatamente por esta mesma via e proceda a sua destruição ------------------------------------------------------------------------------ Want excitement? Manually upgrade your production database. When you want reliability, choose Perforce Perforce version control. Predictably reliable. http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
