Is there a way to determine if the data used with the SVC class, used to generate an SVM model, would generate a poor model, or confidence percentage (or 'decision_function', if that's preferred)?
Jeffrey Levesque https://github.com/jeff1evesque/ (603) 969-5363 Sent from my iPhone > On Dec 1, 2015, at 11:18 PM, Andreas Mueller <t3k...@gmail.com> wrote: > > I don't understand the question. > By definition this function provides probability estimates. In the case > of SVC, it is possible that these probabilities don't coincide with > the prediction. > You could make predictions using the probabilities if you'd liked. There > is no other way to ensure consistency. > > >> On 11/27/2015 05:00 AM, Jeff Levesque 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 ------------------------------------------------------------------------------ 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
