Relate to LinearSVC() and SGDClassifier() I ran both with a subset of my 33k-samples by 30k-features and I am getting a huge difference in results. Is this expected behavour!
After 10-fold-cross-validation (using the Defaults as arguments in both cases) I am getting: Accuracy = 44% for SGD Accuracy = 89% for LinearSVC This is the modules I called csvm = svm.LinearSVC() csvm.fit(X, y) csvm.score(crossv_X, crossv_y) sgd = linear_model.SGDClassifier() sgd.fit(X, y) sgd.score(crossv_X, crossv_y) ------------------------------------------------------------------------------ Try before you buy = See our experts in action! 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-dev2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
