machine learning - Evaluate the classification model when we care both the positive and negative? -

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there classification model problem, unless spam mail classification, care positive , negative data.

for example, have classification of isa. if data isa=true, data, else if data isa=false, else it.

if only care isa=true, care precision , recall isa=true.
but, care both isa=true , isa=false, how evaluate classification model best result?





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