Neural Network Pattern Recognition target data values 0 to 4

Hello,

I want to train a neural network with data that is about heart diseases. The problem is on my target data, they can accept values (0,1,2,3 and 4).

What i have is a double array that contains values like (0,2,1,0,1,2,4,4,2,3,1,0,2,0,1,3,4 etc...). It's size is 1 x 297 and the range is 0 to 4.

What i tried is to convert those values to binary values with de2bi(targets) function so they are represented like this example:

1) 0 0 1

2) 0 1 0 --> (These are the first 3 examples from the array that i showed to you before)

3) 0 0 0

^ ^ ^

0 2 1

But the problem is that when i am trying to show the plot confusion diagram it shows only 3 classes as results because as you can see in my example my binary data are represented in a 3 row that starts with the value 1. So this is clearly wrong.

So my question is how can i convert my data in a way that they will show right as result in the plot confusion diagram?

Thank you very much guys