I see. Would it be a good idea to select only those with very high or very low probability (class 0 and 1 respectively), or this doesn't make sense at all? In addition, may I ask to provide some hints on how to implement that? Thanks in advance!
On Tue, Aug 19, 2014 at 9:10 PM, Lars Buitinck <larsm...@gmail.com> wrote: > 2014-08-19 20:07 GMT+02:00 Adamantios Corais <adamantios.cor...@gmail.com > >: > > Great. And what about the confidence error? I mean, how should I select a > > subset of classified data points such that the probability they belong to > > any class is high whereas the confidence error is 95% or above? > > Sorry, I hadn't seen that in your original message. You mean you want > confidence intervals on the probability estimates? Those are not > computed/returned. There has been talk of implementing those some time > ago, but I don't think anything came of it. > > You could look at statsmodels (but I've only casually used that > myself, so no guarantees). > > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >
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