2-Class Problem with patternnet

Hej, I have a problem. Using the NN toolbox a neural network shall be trained to recognize a two class problem. I used the default settings ( dividerand , 10 hidden neurons, divide radio 0.7, 0.15, 0.15) and my input is a 3xn matrix and my target is a 2xn matrix ([0; 1] for class one and [1; 0] for class two for each sample), where n=21000. the ratio of the classes are about 3:2.

Why my confusion matrix looks like:

Thank you very much!!

Answer 1

[Greg Heath]

Class 1 target should be [1;0] and class 2 should be [0;1]

 N1 = 13840,   N1trn = 9421, N1val = 2044, N1tst = 2015
 N2 = 7895,    N2trn = 5542, N2val = 1162, N2tst = 1191

All inputs except one class2 validation vector are classified as class 1

The confusion matrix format could be revised to make it easier to understand.

Thank you for formally accepting my answer.

Greg

[Michael Dorner]

Thank you for answering. Unfortunately, I tried it with 50:50 data, but still the same result. The second (and further classes) are almost not detected, but they should, at least as wrong. In the sample code (e.g. iris_data) they are ok, even for two classes (although in this case the hitrate is quite bad :-) ).

[Greg Heath]

Show your code, dimensions of input and target, comments and error messages