MATLAB SVM

clc;
clear;
close all;
traindata = [1,0; 3,10;  2,2; 2,3; -1,-1; -6,-4;  -4,-1;  -1.5, -3];
group =     [1      1      1   1    -1       -1     -1        -1]';
testdata = [ 1,2; 1,1; -1,-4;-2, -3];
svm_struct = svmtrain(traindata,group,'Showplot',true);       % training
Group = svmclassify(svm_struct,testdata,'Showplot',true);
hold on;
plot(testdata(:,1),testdata(:,2),'ro','MarkerSize',12);       % testing
hold off