hi, i have a multi label problem
but i minimize the loss even when the model was right in only one class
i mean, if the model was right in one class:
label = [1,1,0,0,1]
predication = [1,0,0,0,0]
this is a success (loss=0)
im not sure how to calculate the accuracy in that case
when i should count a predication as +1 for acuuracy?
i know the metric of sklearn for multi label, but it dos not feet for my case