error using classperf

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FIR
FIR 2012-4-11
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)

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采纳的回答

Ilya
Ilya 2012-4-11
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))
  2 个评论
FIR
FIR 2012-4-12
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
Ilya 2012-4-12
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.

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