error using classperf function

I am working on neural network ,I want ti find the classifier performance,but i get error

Indices = crossvalind('Kfold',class1 , 10);cp = classperf(class1);
for i=1:10
     test = (Indices == i); 
     trainn = ~test;
net = newff(inputs(:,trainn),targets(:,trainn),20,{},'trainscg');
net = train(net,res1(trainn),class1(trainn));
 a = sim(net,res1(test));
%  b=sim(net,inputs(:,test));
  classperf(cp,a,test)
end

i have input as 4x30

error msg is

When the class labels of the CP object are numeric, the output of the classifier must be all non-negative integers or NaN's.

kindly assist

[Greg Heath]

It would help immensely if you tried your code on MATLAB data:

help nndatasets.

Have you thought about including a non-training validation design set to prevent overtraining an overfit net?

What version are you using?

>> help newff newff Create a feed-forward backpropagation network.

   Obsoleted in R2010b NNET 7.0.  Last used in R2010a NNET 6.0.4.

Why NEWFF instead of the classification/pattern-recognition function NEWPR? Remember,as of 2010

NEWFIT/NEWPR/NEWFF ==> FITNET/PATTERNNET/FEEDFORWARDNET

I'll try your code on

help simpleclass_dataset

Greg

Answer 1

[Greg Heath]

Why the RBF tag ??

SORRY. I cannot run your code because I have neither CROSSVALIND nor CLASSPERF.

HOWEVER, I understand the error message:

Your targets should be unit vectors containing only one "1" with the rest zeros. Regardless of the normalization used for training, unnormalized output values will be continuous over an interval [ -eps1, 1+eps2]. To get valid class indices use VEC2IND(a).

Hope this helps.

Thank you for formally accepting my answer

Greg