Hi Adnan, can you give use some more specific information about your learning task / dataset including:
- number of samples - number of features - class distribution - features (normalization, preprocessing) best, Peter 2012/2/2 adnan rajper <[email protected]>: > hi everybody, > > I am using multinomial and LinearSVC classifier with default parameters to > classify twitter messages into two classes (positive or negative). I > followed the tutorial > on http://scikit-learn.github.com/scikit-learn-tutorial/working_with_text_data.html. > I tried "parameter tuning using grid search", but it gets too slow. Both > classifiers (multinomial and LinearSVC) give 75% accuracy. My problem is > that I want to improve the accuracy, for instance I want to make it more > than 80%. Is there anyway to do it through scikit. > > > thanks > Adnan > > ------------------------------------------------------------------------------ > Keep Your Developer Skills Current with LearnDevNow! > The most comprehensive online learning library for Microsoft developers > is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now! > http://p.sf.net/sfu/learndevnow-d2d > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > -- Peter Prettenhofer ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
