Confusion Matrix for non-binary classes

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.

Answer 1

[the cyclist]

I'm a bit confused. (Pun intended.)

The documentation for plotconfusion shows an example that has more than binary classification.

Does that example work for you? If so, maybe you can "interpolate" between that example and your actual problem, to see what went wrong.

[AlmostSurely]

Thank you. It seems that I need to use targets of the form (0,0,0,0,0,0,0,0,1) to represent class 9, for example. :)