On 03/26/2012 03:21 PM, Alexandre Gramfort wrote: >> Because SVC uses one-vs-one, for multiclass classification. The 3 three >> columns you see correspond to: >> >> >>>>> for i in xrange(3): >>>>> >> ... for j in xrange(i + 1, 3): >> ... print i, "vs", j >> ... >> 0 vs 1 >> 0 vs 2 >> 1 vs 2 >> > ok but are you suggesting that this behavior is normal wrt Y = [0, 1] > and Y = [1, 0] > > we fixed that at some point > Might be that this is only fixed in master.
Could you try to see if you have the same problem in the current github branch? ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
