How to plot my 4 classes samples to visualize each classes's representing dot?

I created a features vector of more than 100 elements,then used my multiclass SVM code to classify my 106samples(91 trained,105 tested) and ended up with a classification for each of those 15 samples.Now i want to plot them in a similar way to the attached image.

%%SVM Multiclass Example 
% SVM is inherently one vs one classification. 
% This is an example of how to implement multiclassification using the 
% one vs all approach. 
TrainingSet=\[ 1 10;2 20;3 30;4 40;5 50;6 66;3 30;4.1 42;56 4;34 1\]; 
TestSet=\[3 34; 1 14; 2.2 25; 6.2 63\]; 
GroupTrain=\[1 1 2 2 2 2 3 3 4 4\]; 
results = multisvm(TrainingSet, GroupTrain, TestSet); 
disp('multi class problem'); 
disp(results);

multisvm code:

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

[Rena Berman]

(Answers Dev) Restored edit

Answer 1

[Image Analyst]

If you know what class each point was assigned to, then you can use gscatter() to plot each point/spot in a different color.

[Image Analyst]

It would be best to try with your data, but I don't have the multisvm function. Can you upload it along with your data. The number of points in your code doesn't match your picture.