Confusion Matrix for non-binary classes
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I've trained an FFNN with 10 nodes in the single hidden layer, that takes in 10 inputs, with targets ranging between 0 and 9 (representing the 10 possible classes).
I am trying to plot the confusion matrix using plotconfusion, however, I am getting an error that the numbers are not 0/1. I am new to Matlab and am not sure if such a question is well posed, since network outputs are decimal numbers rather than integers.
I suppose I can round each network output to get integers, but they will still not be 0/1.
EDIT: keyword confusionmat does indeed produce a confusion matrix when I round up network outputs. However, I'd still like to get a plot if possible.
Any help is much appreciated.
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the cyclist
on 9 May 2015
I'm a bit confused. (Pun intended.)
Does that example work for you? If so, maybe you can "interpolate" between that example and your actual problem, to see what went wrong.
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