Hello Suneel, I want to check if any better performance is reached with SVM.
I've been using naive bayes, but my data is quite unbalanced and therefore I'm getting pretty bad results with it. I also tried the complementary naive bayes, but got the same bad results. I read about this difference between NaiveBayes performance of Weka and Mahout implementations and maybe that's the cause ( http://mail-archives.apache.org/mod_mbox/mahout-user/201109.mbox/%3ccabdaxxijtfv9nhqxxpyd72rrsv-h60ps13h0pund2injx70...@mail.gmail.com%3E ). I also tried logistic regression and got around 77% accuracy. So maybe with SVM it could be better. 2013/12/7 Suneel Marthi <[email protected]> > Any specific reasons u r looking for an SVM implementation only? > R u sure that those patches r still relevant given the codebase today? > > > > > > On Saturday, December 7, 2013 2:58 PM, Fernando Santos < > [email protected]> wrote: > > Thanks Manuel. > > It seems that these two (https://issues.apache.org/jira/browse/MAHOUT-334 > and https://issues.apache.org/jira/browse/MAHOUT-232) patches might work, > although not in parallel. > > Does anyone has sucessfully used any of these two patches already and could > share some comments about it? > > Thanks > > > 2013/12/6 Manuel Blechschmidt <[email protected]> > > > Hi Fernando, > > there are some patches and some discussions: > > > > SVM: > > https://issues.apache.org/jira/browse/MAHOUT-334 > > https://issues.apache.org/jira/browse/MAHOUT-232 > > https://issues.apache.org/jira/browse/MAHOUT-14 > > https://issues.apache.org/jira/browse/MAHOUT-227 > > > > /Manuel > > > > On 06.12.2013, at 19:14, Fernando Santos wrote: > > > > > Hello, > > > > > > Is there any tested SVM implementation for Mahout? > > > > > > Mahout in action says there is a sequential implementation, but > > > "Experimental still". I couldn't find this implementation. > > > > > > Thanks > > > > > > -- > > > Fernando Santos > > > +55 61 8129 8505 > > > > -- > > Manuel Blechschmidt > > M.Sc. IT Systems Engineering > > Dortustr. 57 > > 14467 Potsdam > > Mobil: 0173/6322621 > > Twitter: http://twitter.com/Manuel_B > > > > > > > > -- > Fernando Santos > +55 61 8129 8505 > -- Fernando Santos +55 61 8129 8505
