Thanks for the answer! hmm its possible, I just make a little example:
auc is [0.9777752710670069, 0.01890450385597026, 0.0059624156214325846, 0.05391726570661811] expected is [0.0, 1.0, 1.0, 1.0] but this is already with changed values, in the test set i set every value 0->1 and 1 to 0. SO there is the misstake? it seems that i should "turn" the expected vector y_test ? On 4 August 2015 at 16:36, Artem <barmaley....@gmail.com> wrote: > Hi Herbert > > The worst value for AUC is 0.5 actually. Having values close to 0 means > than you can get a value as close to 1 by just changing your predictions > (predict class 1 when you think it's 0 and vice versa). Are you sure you > didn't confuse classes somewhere along the lines? (You might have chosen > the wrong column from predict_proba's result, for example) > > On Tue, Aug 4, 2015 at 4:51 PM, Herbert Schulz <hrbrt....@gmail.com> > wrote: > >> Hey, >> >> I'm computing the AUC for some data... >> >> >> The classification target is 1 or 0. And i have a lot of 0's ( 5600) and >> just 700 1's as a target. >> >> My AUC is about 0.097... >> >> where y_test are a vector containing 1's and 0's and auc is containg the >> predict_proba values >> >> roc= metrics.roc_auc_score(y_test, auc). >> >> >> Actually this value seems way to bad, because my ballance accuracy is >> about 0.77... i thought that I'm Doing maybe something wrong. >> >> >> report: >> >> precision recall f1-score support >> >> 0.0 0.95 0.91 0.93 537 >> 1.0 0.49 0.63 0.55 73 >> >> avg / total 0.89 0.88 0.88 610 >> >> >> >> >> ------------------------------------------------------------------------------ >> >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> >> > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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