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how can do training with libsvm in a right way?

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jack nn
jack nn on 30 Jun 2015
hi everybody I want to use libsvm. for training I used:
model = svmtrain(YTrain, XTrain, 'libsvm_options')
I have about 10000 samples. when I used libsvm with this samples I see this result:
I reduced sampels to 100 I saw this result:
can you help me where is the problem? are the features that I selected good? should I change C and gamma? how can I change them? Is this overfitting? I appreciate your helps and supports in advanced.


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