how to fine correct classification for each class in NN
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Dear All
I have 2 questions:
1- What does false/ negative, positive rate and correct neagtive, positive rate means in NN.
2- How to find total correct classification for each class.
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Greg Heath
2014-10-18
target output label
0 0 true negative
0 1 false positive
1 0 false negative
1 1 true positive
The target matrix contains 0-1 column unit vectors
trueclassindices = vec2ind(target)
assignedclassindices = vec2ind(output)
err = assignedclassindices~=trueclassindices
Nerr = sum(err)
individual class errors are ontained via
ind1 = trueclassindices==1'
etc
Thank you for formally accepting my answer
Greg
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