and to Andreas who finished in the 6th position out of 50 final submitters.
This contest was about text classification: http://www.kaggle.com/c/detecting-insults-in-social-commentary Any feedback on what scikit-learn models where used, which feature extraction / blending techniques were useful and which were not working as expected is always appreciated. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ How fast is your code? 3 out of 4 devs don\\\'t know how their code performs in production. Find out how slow your code is with AppDynamics Lite. http://ad.doubleclick.net/clk;262219672;13503038;z? http://info.appdynamics.com/FreeJavaPerformanceDownload.html _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
