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Old 05-20-2013, 03:08 AM
nparslow nparslow is offline
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Join Date: May 2013
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Default libsvm random seeding (Q7)

I notice that the random division of data for libsvm is not so random:

http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.html#f421

so for me doing 100 runs just gives the identical answer 100 times.

I was thinking that a way around this might be to permute (randomly) the order of the data sample with each new run - thus meaning the same seed will be used within each run (as advised in the link above) but there would be a change between runs.

Does this seem reasonable? Or should I be doing a random seed for each call of svmtrain even within a single run? or am I going in completely the wrong direction?
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