The Treebagger give different results in 2012a and 2013a

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xq
xq 2013-4-19
I used
B = TreeBagger(NTrees(j),train_feats',train_labels');
and
Y = predict(B,test_feats');
to classification, in train_feats each column is a sample,the train_labels total of 30 categories,label from 0 to 29.
when I run the code in matlab 2012a the accuracy almost 90%,but when i update to 2013a the accuracy is less than 1%. The data and the code are intact, why the result is so different?
Does anyone have an explanation?

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采纳的回答

Tom Lane
Tom Lane 2013-4-23
This might be the explanation, and it includes a suggestion of how to avoid the problem:
http://www.mathworks.com/support/bugreports/927692
  1 个评论
xq
xq 2013-4-23
Thank you so much for your answer and advice. The answer is exactly the problem. I change the labels from ordinals to chars:
NewLabels{i} = num2str(labels(i));
problem solved!
Thank you again for your help.

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