can somebody help me to generate a confusion matrix for this multisvm code?

I have been trying to plot a confusion matrix for this svm code but im reaching nowhere,so the purpose of my code is to classify my 95 images into 3 classes, i have made the training_label which is the label of every image.then i don't know how to generate the confusion matrix. here is the code

close all
clear all
clc
srcFiles = dir('E:\sense\cata2\cata\all\*.jpg');
for i = 1 : length(srcFiles)
    filename = strcat('E:\sense\cata2\cata\all\',srcFiles(i).name);

Img = imread(filename);
Img = imresize(Img,[256,256]);
%figure, imshow(Img); title('Image');

% Enhance Contrast
I = imadjust(Img,stretchlim(Img));
figure, imshow(I);title('Contrast Enhanced');

% Extract Features from query image
[Feature_Vector] = Extract_FeaturesofSoilforall(I);
whos Feature_Vector

% Load Training Features

[X,T] = cataractdataset;
 TrainFeat = X;
 Train_Label = T;
test = Feature_Vector;
result = multisvm(TrainFeat,Train_Label,test)
disp(result)

if result == 1
   helpdlg(' grade1');
   disp(' grade1 ');
elseif result == 2
    helpdlg(' last ');
    disp('last');
elseif result == 3
    helpdlg('normal');
    disp(' normal ');

end
confMat = confusionmat(,test )
end

Answer 1

[Hadeer tawfik]

confMat = confusionmat(Train_Label, results)

[Hadeer tawfik]

This worked for me hince: results is a vector that contains the classifier results.

[kokeb Dese]

This is very interesting, but what if it is for all testing data confusion matrix together.