To scikit-learn-general, I am trying to do a binary classification (true/false) of millions of samples across 5 features with SVM. How many samples should I use for building my model? I tried using svm.SVC().fit() on hundreds of thousands of samples, but it ran for more than 12 hours. I am quite new to machine learning, so any help provided will be much appreciated. Thank you.
P.S. I am not sure, if this is the appropriate forum. Please ignore my question, if it does not belong on this mailing list. Best wishes, Tommy -- The Wellcome Trust Sanger Institute is operated by Genome Research Limited, a charity registered in England with number 1021457 and a company registered in England with number 2742969, whose registered office is 215 Euston Road, London, NW1 2BE. ------------------------------------------------------------------------------ Managing the Performance of Cloud-Based Applications Take advantage of what the Cloud has to offer - Avoid Common Pitfalls. Read the Whitepaper. http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
