I have an error with training SVM in Matlab. is there anyone can help me?

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Vania krm
Vania krm 2019-1-18
评论： Walter Roberson 2019-1-19
clear all
clc
ds=dataset('xlsfile','AD.xlsx');
feat1=ds.beta2L(1:100);
feat=ds.beta2T(1:100);
segmented_features = cell(1,3);
segmented_features =[feat1, feat];
[cA1,cH1,cV1,cD1] = dwt2(segmented_features,'db4');
[cA2,cH2,cV2,cD2] = dwt2(cA1,'db4');
[cA3,cH3,cV3,cD3] = dwt2(cA2,'db4');
DWT_feat = [cA3,cH3,cV3,cD3];
G = pca(DWT_feat);
whos DWT_feat
whos G
load trainset
xdata = meas;
group = label;
%svmStruct = svmtrain(xdata,group,'showplot',false);
% species = svmclassify(svmStruct,feat)
svmStruct1 = svmtrain(xdata,group,'kernel_function', 'linear');
species = svmclassify(svmStruct1,feat,'showplot',false);
classperf(cp,classes,test);
Accuracy_Classification = cp.CorrectRate.*100;
sprintf('Accuracy of Linear kernel is: %g%%',Accuracy_Classification)
**********************
Error using svmtrain (line 236)
Y must be a vector or a character array.
Error in newcodewithoutkmeans (line 22)
svmStruct1 = svmtrain(xdata,group,'kernel_function', 'linear');
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Vania krm
Vania krm 2019-1-19
Yes. Now my problem is solved. Very very thanks of your help. Just can I ask you that I use this code for accuracy based on Matlab codes of site but I have different accuracy in each time of run. How do I mention the final accuracy of system?
% Multiple runs for accuracy highest is 90%
groups = ismember(label,'AD ');
groups = ismember(label,'Nold');
[train,test] = crossvalind('HoldOut',groups);
cp = classperf(groups);
svmStruct = svmtrain(xdata(train,:),groups(train),'showplot',false,'kernel_function','linear');
classes = svmclassify(svmStruct,xdata(test,:),'showplot',false);
classperf(cp,classes,test);
Accuracy_Classification = cp.CorrectRate.*100;
sprintf('Accuracy of Linear kernel is: %g%%',Accuracy_Classification)
Walter Roberson
Walter Roberson 2019-1-19
svmtrain uses random partitions . You would need to set the random seed to repeat the same results .

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