one more reason to continue working on probability calibration: https://github.com/scikit-learn/scikit-learn/pull/1176
Alex On Wed, Apr 10, 2013 at 7:59 PM, Andreas Mueller <[email protected]> wrote: > Hi Mathieu. > From my point of view, producing sensible probabilities is even harder than > producing > the correct class labels - so I don't think there is a great solution. > For binary classification, you could use LogisticRegression, but I'm not > sure that it really gives > you good estimates. > > Maybe I'd go with the RandomForestClassfier? > > Cheers, > Andy > > > On 04/10/2013 07:21 PM, mathieu lacage wrote: > > hi, > > I wonder if someone could suggest which classifiers are the most useful to > produce probabilities associated with their predictions. In my case, I am > trying to perform a binary classification and I am trying to obtain an > estimate of the probability that the output classification is correct. I > initially started from an SVC but it seems that producing probability > estimates is not one of their biggest strength. I then turned to bayes > classifiers but the sklearn documentation is pretty clear about the fact > that the estimates produced by these classifiers are "not good". Is there an > well known alternative to do this or am I stuck with trying every possible > option until I find one that appears to work ? > > Mathieu > -- > Mathieu Lacage <[email protected]> > > > ------------------------------------------------------------------------------ > Precog is a next-generation analytics platform capable of advanced > analytics on semi-structured data. The platform includes APIs for building > apps and a phenomenal toolset for data science. Developers can use > our toolset for easy data analysis & visualization. Get a free account! > http://www2.precog.com/precogplatform/slashdotnewsletter > > > > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > ------------------------------------------------------------------------------ > Precog is a next-generation analytics platform capable of advanced > analytics on semi-structured data. The platform includes APIs for building > apps and a phenomenal toolset for data science. Developers can use > our toolset for easy data analysis & visualization. Get a free account! > http://www2.precog.com/precogplatform/slashdotnewsletter > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ Precog is a next-generation analytics platform capable of advanced analytics on semi-structured data. The platform includes APIs for building apps and a phenomenal toolset for data science. Developers can use our toolset for easy data analysis & visualization. Get a free account! http://www2.precog.com/precogplatform/slashdotnewsletter _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
