How to use fitcsvm in matlab classifications Brain tumor Mr image?(Benign,Malignant)

load egitimseti.mat xdata = meas; group = label;

 %svmStruct1 = svmtrain(xdata,group,'kernel_function', 'linear');
 %Train the SVM Classifier
SVMModel= fitcsvm(meas,group,'KernelFunction','rbf','BoxConstraint',Inf);

 sv = SVMModel.SupportVectors;
 figure,
gscatter(xdata(:,1),xdata(:,2),group);
hold on
plot(sv(:,1),sv(:,2),'ko','MarkerSize',10)
legend('MALIGNANT','BENIGN','Support Vector')
hold off

 %species = svmclassify(svmStruct1,feat,'showplot',false

%x = fitcdiscr(xdata,group); label= predict(SVMModel,xdata);

%data1 = [meas(:,1),meas(:,2)]; %newfeat = [feat(:,1),feat(:,2)];

%close all

%SVMModel2=fitcsvm(data1,group); %label2=predict(SVMModel2,newfeat);

%En yüksek doğruluk(accurasy) icin trainset

data = meas; groups = ismember(label,'BENIGN'); groups = ismember(label,'MALIGNANT'); [train,test] = crossvalind('HoldOut',groups);%test ve egitim icin veriler karıstırıldı.0 ve 1 cp = classperf(groups);

%svmStruct = svmtrain(data(train,:),groups(train),'showplot',false,'kernel_function','linear');%yapi olustu%r %classes = svmclassify(svmStruct,data(test,:),'showplot',false);%svm ile sınıflandır SVMModelson=fitcsvm(data(train,:),groups(train)); class=predict(SVMModelson,data(test,:));

classperf(cp,class,test);

indicies = crossvalind('Kfold',label,10); cp = classperf(label);%for ;

    %svmStruct = svmtrain(xdata(train,:),group(train),'boxconstraint',Inf,'showplot',false,'kernel_function','rbf');
    %classes = svmclassify(svmStruct,xdata(test,:),'showplot',false);
    SVMModelnormalize=fitcsvm(xdata(train,:),group(train));
    classes=predict(SVMModelnormalize,xdata(test,:));
    classperf(cp,classes,test);

%end

%çapraz geçerlilik sonucu

Accuracy = cp.CorrectRate*100; sprintf("Dogruluk oranı %d dir",Accuracy);

[Image Analyst]

"How to use?" It looks like you ARE using it. I presume you found out how to use it by looking at its documentation, which is what I would have done. Nothing for us to do here, so I'm moving on.

[Ahmet Gürbüz]

thanks but this code is not working

[Sagar V]

how to create oad egitimseti.mat xdata = meas; group = label;

[lamis ke]

same question how to create load egitimseti.mat xdata = meas; group = label;

[Saad Rana]

The code gives an error for

load egitimseti.mat 
xdata = meas;
group = label;

can you help me to create .mat file?

Answer 1

[Bernhard Suhm]

Can you illustrate what your data looks like, and where you get what type of error? And which release of MATLAB are you using? Looks like you were on an old release at first, since svmtrain has long been depracated.

[Ahmet Gürbüz]

the training set consists of 20 rows and 4 columns o meas = 4 features for good and malignant 20 tumors

[Image Analyst]

You can help us to help you.

http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

http://www.mathworks.com/matlabcentral/answers/13205#answer_18099

Of course it always starts by you answering direct questions people ask, which you aren't doing (yet).