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>
