hi, have a look at:
https://github.com/scikit-learn/scikit-learn/pull/1726 Cheers, Alex On Fri, Mar 1, 2013 at 11:31 AM, Tadej Janež <[email protected]> wrote: > Hi! > > I've been performing some tests with KFold cross validation and > encountered a strange behavior: > >>>> from sklearn import cross_validation >>>> list(cross_validation.KFold(14, 5, indices=True, shuffle=True, > random_state=32)) > [(array([13, 2, 12, 9, 1, 10, 4, 3, 8, 6, 5, 11]), array([0, > 7])), (array([ 0, 13, 12, 9, 1, 10, 4, 3, 8, 6, 5, 7]), > array([ 2, 11])), (array([ 0, 2, 12, 9, 1, 10, 4, 3, 6, 5, 11, > 7]), array([13, 8])), (array([ 0, 13, 2, 12, 1, 10, 4, 3, 8, 5, > 11, 7]), array([9, 6])), (array([ 0, 13, 2, 9, 8, 6, 11, 7]), > array([12, 1, 10, 4, 3, 5]))] > > Since I was performing a 5-fold cross validation on 14 examples, I would > have expected the first 4 folds to have 11 training indices and 3 > testing indices and the last fold to have 12 training indices and 2 > testing indices. > > Does anyone have any explanation for this? Is this an expected behavior? > > Thanks and best regards, > Tadej > > > ------------------------------------------------------------------------------ > Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics > Download AppDynamics Lite for free today: > http://p.sf.net/sfu/appdyn_d2d_feb > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_feb _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
