How do I identify nontrained members when using svm?

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Tola 2013-5-10

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https://ww2.mathworks.cn/matlabcentral/answers/75346-how-do-i-identify-nontrained-members-when-using-svm

关闭： MATLAB Answer Bot 2021-8-20

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I downloaded the following file from matlab:

              function [result] = multisvm(TrainingSet,GroupTrain,TestSet)
              %Models a given training set with a corresponding group vector and 
              %classifies a given test set using an SVM classifier according to a 
              %one vs. all relation. 
              %
              %This code was written by Cody Neuburger cneuburg@fau.edu
              %Florida Atlantic University, Florida USA
              %This code was adapted and cleaned from Anand Mishra's multisvm function
              %found at http://www.mathworks.com/matlabcentral/fileexchange/33170-multi-class-support-vector-machine/>
u=unique(GroupTrain);
numClasses=length(u);
result = zeros(length(TestSet(:,1)),1);
%build models
for k=1:numClasses
    %Vectorized statement that binarizes Group
    %where 1 is the current class and 0 is all other classes
    G1vAll=(GroupTrain==u(k));
    models(k) = svmtrain(TrainingSet,G1vAll);
end
%classify test cases
for j=1:size(TestSet,1)
    for k=1:numClasses
        if(svmclassify(models(k),TestSet(j,:))) 
            break;
        end
    end
    result(j) = k;
end

but when I send in data I did not train with it keeps giving a match for the test data. How am I supposed to test for people I did not train with? Thank you.