I think its via using MulticlassMetrics class. Just found it. Thanks
On Mon, Oct 3, 2016 at 3:31 PM, Nirav Patel <npa...@xactlycorp.com> wrote: > I see that in scikit library if you specify 'Non' or nothing for 'average' > parameter it returns metrics for each classes. How to get this in ML > library? > http://scikit-learn.org/stable/modules/generated/ > sklearn.metrics.precision_score.html > > Current weighted metrics does help to see overall picture but doesn't > really help to narrow down issue unless looking at raw confusion matrix. > Having individual class score might help to narrow down problem with > dataset pertaining to problematic class data. > > Thanks > -- [image: What's New with Xactly] <http://www.xactlycorp.com/email-click/> <https://www.nyse.com/quote/XNYS:XTLY> [image: LinkedIn] <https://www.linkedin.com/company/xactly-corporation> [image: Twitter] <https://twitter.com/Xactly> [image: Facebook] <https://www.facebook.com/XactlyCorp> [image: YouTube] <http://www.youtube.com/xactlycorporation>
