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Asked by FIR
on 11 Apr 2012

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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Answer by Ilya
on 11 Apr 2012

Accepted answer

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
on 12 Apr 2012

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)

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