error using classperf

I have a code

data=[0.5 .3 0.6 0.5;0.2 0.3 0.5 0.9;0.1 0.7 0.2 0.8;0.5 .3 0.6 0.5;0.2 0.3 0.5 0.9;0.1 0.7 0.2 0.8]
TrainData=data(:,1:2)
 TestVector=data(:,3:4)
 groups=[0;1;1;0;1;1]

   cvFolds = crossvalind('kfold', groups, 10);  %# get indices of 10-fold CV %# get indices of 10-fold CV
  cp = classperf(groups);  
  for i = 1:10   

%   testIdx = (cvFolds == i);                %# get indices of test instances
%    trainIdx = ~testIdx; 
   Training=(data(:,1:2));
   TestVector=data(:,3:4)
 Group=groups;
 TreeObject=TreeBagger(50,Training,Group,'NVarToSample','all');

   [YFIT,scores] = predict(TreeObject,TestVector);
  %cp = classperf(cp, YFIT, testIdx)
  cp = classperf(cp, YFIT)

end

I get error

Error using classperf (line 230)
When the class labels of the CP object are numeric, the output
of the classifier must be all non-negative integers or NaN's.

Error in yass (line 30)
cp = classperf(cp, YFIT)

Answer 1

[Ilya]

See my response in http://www.mathworks.com/matlabcentral/answers/34771-classifier

In your code snippet, the error is caused by TreeBagger returning predicted class labels as a cell array of strings, while the class labels (groups variable) passed to classperf are numeric. To avoid this, convert groups to a cell array of strings:

groups = cellstr(num2str(groups))

[FIR]

am getting the same error as before

Error using classperf (line 230)

When the class labels of the CP object are numeric, the output

of the classifier must be all non-negative integers or NaN's.

Error in ya (line 23)

cp = classperf(cp, YFIT)

[Ilya]

Well, the error says "When the class labels of the CP object are numeric..." This means you have not converted groups to a cell array before passing to classperf.