K-fold cross validation

Hi, I would like to ask about "crossvalind" function in Matlab. From what I have known, k-fold validation partitioned the samples into few parts for training and training. The final estimation rate is the average of the all estimated result for each k. In the example shown, the final answer show 0.0200, may I know is that the overall estimation error rate? Thank you

if true
  load fisheriris 
indices = crossvalind('Kfold',species,10);
cp = classperf(species);
for i = 1:10
  test = (indices == i); train = ~test;
  class = classify(meas(test,:),meas(train,:),species(train,:));
  classperf(cp,class,test)
end
cp.ErrorRate

ans =

    0.0200
  end

Answer 1

[nana rosd]

can you explain, what is 'species' in your code?

if i run this code error 'Undifine variable or function species'