MATLAB: Problem with “Confusion” in neural network toolbox

classificationconfusionneural networknntool

I am using matlab r2009b and implementing classification problem (mentioned here http://www.mathworks.com/matlabcentral/answers/89395-early-stopping-method-in-neural-networks-digits-recognition). During training, after validation stop occurs, I try to see confusion plots and I get error "??? Error using ==> confusion at 60 Targets are not all 1/0 values." As I said in a link above tagets are values from 1-10, how can i fix it? Morover, I tried using nprtool and I cannot fill space for targets
Any idea how to fix both problems? Thanks in advance

Best Answer

If you have a c-class classifier, the target matrix should contain columns of the c-dimensional unit matrix eye(c).
If the output transfer function is softmax, logsig or the unfortunate tansig default, the output matrix components should be in the interval (0,1).
If the output transfer function is purelin, there may be outputs outside the [ 0,1 ]interval. That should not affect classification if compet and/or vec2ind is used
 help compet
 help vec2ind
Thank you for formally accepting my answer
Greg
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