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Old 05-22-2013, 12:39 PM
Katie C. Katie C. is offline
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Join Date: Apr 2013
Posts: 17
Default Re: libsvm random seeding (Q7)

Quote:
Originally Posted by nparslow View Post
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?
Permuting the order between each run sounds reasonable to me, assuming what you mean by "run" is to try all of the C values.
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