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Old 09-03-2012, 05:55 AM
itooam itooam is offline
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Join Date: Jul 2012
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Default Re: Should SVMs ALWAYS converge to the same solution given the same data?

Quote:
Originally Posted by Andrs View Post
...But if we have a "difficult data", the classification margins may be very narrow and if we handle the data in different sequences we may get different results.
That also sounds reasonable to me as an explanation.

Keith can you confirm that you shuffled your data first? I can understand why the output could be considerably different when cross validation is applied due to what data gets put into each fold. However for a straight learn and predict I hadn't anticipated a "considerable" difference in Ein and Eout when the data is the same but in a different order.
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