title: Classificaion with fitcsvm in matlab produces an error
body: <p>I had tried the following code</p>
  
  <pre><code>clear all;close all;
  data =  [27 9   2
  11.6723281  28.93422177 2
  25  9   2
  23  8   2
  5.896096039 23.97745722 1
  21  6   2
  21.16823369 5.292058423 2
  4.242640687 13.43502884 1
  22  6   2];
  Attributes = data(:,1:2);
  Classes = data(:,3);
  train = [1 3 4 5 6 7];
  testInds = [2 8 9];
  test1 = data(testInds,1:2);
  YTest =data(testInds,3);
  %%# Train
  svmStruct = svmtrain(Attributes(train,:),Classes(train),'ShowPlot',true);
  
   SVMModel = fitcsvm(Attributes(train,:),Classes(train))
   classOrder = SVMModel.ClassNames
  sv = SVMModel.SupportVectors;
  figure
  gscatter(data(:,1),data(:,2),Classes)
  hold on
  plot(sv(:,1), sv(:,2),'ko','MarkerSize',10)
  legend('good','bad','Support Vector')
  hold off
  [label,score] = predict(SVMModel,test1);
  % [predict_label, accuracy, prob_estimates] = predict(SVMModel,test1)
  table(YTest(1:2),label(1:2),score(1:10,2),'VariableNames',...
      {'TrueLabel','PredictedLabel','Score'})
  </code></pre>
  
  <p>I tried the above code. First two column are my data and last column is the group id. SVMModel is the classification. I'm getting error as</p>
  
  <p>Index exceeds matrix dimensions.</p>
  
  <p>Error in Untitled (line 34)
  table(YTest(1:2),label(1:2),score(1:10,2),'VariableNames',...
  I tried to test an instance. But both statements produces an error</p>
  
  <pre><code>[label,score] = predict(SVMModel,test);
   label           = svmclassify(SVMModel, test);
  </code></pre>