For example 3 class would it be? weightedPrecision = ( TP1 * w1 + TP2 * w2 + TP3 * w3) / ( TP1 * w1 + TP2 * w2 + TP3 * w3) + ( FP1 * w1 + FP2 * w2 + FP3 * w3)
where TP1..2 are TP for each class. w1, w2.. are wight for each class based on their distribution in sample data? and similar for recall? How about accuracy? 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>
