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K-fold cross validation

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James Brooke
James Brooke 2018-3-31
回答： nana rosd 2020-2-4
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

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回答（1 个）

nana rosd
nana rosd 2020-2-4
can you explain, what is 'species' in your code?
if i run this code error 'Undifine variable or function species'

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