Hi Jeff, In general, most implementations of predict_proba are some proxy the conditional probability p(y|x). Some of them really are modelling this quantity quite well (e.g., gaussian process) while for some others it is closer to a heuristic than to the actual p(y|x) (e.g., with linear models).
If for your application, it is important to have an accurate estimation of p(y|x) I would recommend using an algorithm that explicitly computes this quantity and/or would resort to calibration. Hope this helps, Gilles On 26 November 2015 at 22:00, Jeff Levesque <jeff1eves...@yahoo.com> wrote: > Hey all, > > I have a specific question: how do I ensure that the '.predict_proba()' > method, associated with the classification sklearn, accurately provides > probability, that a provided value is one of the predefined class: > > https://github.com/jeff1evesque/machine-learning/issues/1924#issuecomment-159491052 > > There seems to be a level of error present for small datasets. Is this > normal? > > > Jeffrey Levesque > https://github.com/jeff1evesque/ > (603) 969-5363 > > Sent from my iPhone > ------------------------------------------------------------------------------ > Go from Idea to Many App Stores Faster with Intel(R) XDK > Give your users amazing mobile app experiences with Intel(R) XDK. > Use one codebase in this all-in-one HTML5 development environment. > Design, debug & build mobile apps & 2D/3D high-impact games for multiple OSs. > http://pubads.g.doubleclick.net/gampad/clk?id=254741551&iu=/4140 > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Go from Idea to Many App Stores Faster with Intel(R) XDK Give your users amazing mobile app experiences with Intel(R) XDK. Use one codebase in this all-in-one HTML5 development environment. Design, debug & build mobile apps & 2D/3D high-impact games for multiple OSs. http://pubads.g.doubleclick.net/gampad/clk?id=254741911&iu=/4140 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
