Not enough input arguments

I'm very new to MATLAB and I am having some trouble. It says error using predict (line 70) Not enough input arguments. It gives this error for line [c_matrix,Result,RefereceResult]= confusion.getMatrix(actual,predict);

load veri.mat
load etiket.mat

figure;
plot(veri(1,:))

%özellik çıkarımı
for i=1:length(etiket)
    x=veri(i,:);
    ozellik(1,i)=(1/length(x))*sum(x.^2); %enerji
    ozellik(2,i)=std(x); %standart
    ozellik(3,i)=mean(abs(x)); %mutlak değerin ortalamaası
    ozellik(4,i)=skewness(x); %agirlik
    ozellik(5,i)=kurtosis(x); %basiklik
end
%4 katli capraz doğrulama 
fold=cvpartition(etiket, 'kfold',4);
label=etiket;

%egitim ve test idelerinin ayrilmasi
trainIdx=fold.training(1); testIdx=fold.test(1);
    
%egitim verisinin ayrilmasi
Xtrain=ozellik(:,trainIdx); Ytrain=label(trainIdx);

%test verisinin ayrilmasi
Xtest=ozellik(:,testIdx); Ytest=label(testIdx);

%DVM Tasarımı
%cekridek fonksiyonu seçimi
t= templateSVM('Standardize',true, 'KernelFunction','gaussian');

%model eğitim
giris=transpose(Xtrain);
SVMModel = fitcecoc(giris,Ytrain,'Learners',t,'FitPosterior',true,...
'Classnames', {'Sag','Swell', 'Flicker'})

%model test islemi
predict_label = predict(SVMModel,transpose(Xtest));
predict_label = (categorical(cellstr(predict_label)));

for i=1: length(Ytest)
    if Ytest(i,1)=='sag'
        
        actual(1,i)=1;
    end
    if Ytest(i,1)=='Swell'
       
        actual(1,i)=2;
    end
    if Ytest(i,1)=='Flicker'
        actual(1,i)=3;
    end
    
    i
end
  
[c_matrix,Result,RefereceResult]= confusion.getMatrix(actual,predict);

%es olusum matrisinin gösterimi
figure;
cm= confusionchart(Ytest, predict_label,'RowSummary','row-normalized','ColumnSummary','column-normalized');
cm.Title = 'Test Verisi İcin Es Olusum Matrisi';

Answer 1

[Yongjian Feng]

What is confusion.getMatrix? The built-in confusion is a function. There is another confusionmat, but the return arguments don't match yours.

Answer 2

[yanqi liu]

yes，sir，may be use

[c_matrix,Result,RefereceResult]= confusion(actual,predict_label);