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Posted to user@spark.apache.org by Nirav Patel <np...@xactlycorp.com> on 2016/10/03 21:52:57 UTC

MulticlassClassificationEvaluator how weighted precision and weighted recall calculated

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!

-- 


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