% For c classification categories numbered 1:c, use a classindex row vector
classind = [ 5 3 1 4 2 5 4 3 2 1 ]
N = length(classind)
% The corresponding target matrix is obtained using the ind2vec command
target = full(ind2vec(classind))
% The corresponding output will be a matrix of the same size
outind = vec2ind(output)
err = outind ~= classind
Nerr = sum(err)
PctErr = 100*Nerr/N
%Obviously, more is needed to obtain error rates for individual classes.
A search of both the NEWSGROUP and ANSWERS using
greg patternnet
should yield details.
Hope this helps.
Thank you for formally accepting my answer.
Greg
