where to get the datasets? Whether in Active Competitions <http://www.kaggle.com/competitions>
On Sat, Nov 9, 2013 at 4:51 PM, unmesha sreeveni <[email protected]>wrote: > normally in svm how are the training data classified in 1/0 class label? > > In 1/-1 classification we will be checking sign(decision function) ie , if > the calculated decision function value is negative we will give -1 > classlabel and if it is positive we will give 1 as class label. > > After finding that we will compare the class label with the class label of > input data...and find the accuracy/miss classification. > > What about in 1/0 classification??? > > > On Sat, Nov 9, 2013 at 4:45 PM, unmesha sreeveni <[email protected]>wrote: > >> 1/-1 is not available? >> >> >> On Fri, Nov 8, 2013 at 7:58 PM, Robin East <[email protected]>wrote: >> >>> You could try having a look at some of the competition data sets on >>> http://www.kaggle.com. Many of them are 1/0 classification problems >>> >>> Sent from my iPhone >>> >>> On 8 Nov 2013, at 10:10, unmesha sreeveni <[email protected]> wrote: >>> >>> where can i get a large file for checking svm .with classes 1 and -1 >>> around 1 GB file >>> >>> >>> On Fri, Nov 8, 2013 at 11:14 AM, unmesha sreeveni <[email protected] >>> > wrote: >>> >>>> thx Mirko Kampf >>>> >>>> >>>> On Fri, Nov 8, 2013 at 10:48 AM, Mirko Kämpf <[email protected]>wrote: >>>> >>>>> There are three Jira issues about it: >>>>> Mahout-14<https://issues.apache.org/jira/browse/MAHOUT-14> >>>>> and Mahout-334 <https://issues.apache.org/jira/browse/MAHOUT-334> have >>>>> been closed as won't fix. >>>>> Mahout-232<https://issues.apache.org/jira/browse/MAHOUT-232> was >>>>> assigned later because some code was contributed early (2009) but it did >>>>> not work so it was not incorporated into Mahout. Since then Mahout has >>>>> changed, so porting the code would be difficult, and if you look at the >>>>> issue there is some disagreement about whether it approaches the problem >>>>> in >>>>> the best way. >>>>> >>>>> There is some code for a cascadeSVM >>>>> implementation<https://code.google.com/p/cascadesvm/> but >>>>> the training part - the hard part - was never published. >>>>> >>>>> There is a parallel SVM implementation<https://code.google.com/p/psvm/> >>>>> that >>>>> runs on MPI rather than Hadoop. >>>>> >>>>> This San Francisco Meetup >>>>> abstract<http://www.meetup.com/sfmachinelearning/events/116497192/> has >>>>> some discussion of current state of the art and issues for parallel SVM. >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> 2013/11/8 unmesha sreeveni <[email protected]> >>>>> >>>>>> Do we have an SVM implementation? >>>>>> >>>>>> -- >>>>>> *Thanks & Regards* >>>>>> >>>>>> Unmesha Sreeveni U.B >>>>>> >>>>>> *Junior Developer* >>>>>> >>>>>> *Amrita Center For Cyber Security * >>>>>> >>>>>> >>>>>> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>* >>>>>> >>>>> >>>>> >>>> >>>> >>>> -- >>>> *Thanks & Regards* >>>> >>>> Unmesha Sreeveni U.B >>>> >>>> *Junior Developer* >>>> >>>> *Amrita Center For Cyber Security * >>>> >>>> >>>> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>* >>>> >>> >>> >>> >>> -- >>> *Thanks & Regards* >>> >>> Unmesha Sreeveni U.B >>> >>> *Junior Developer* >>> >>> *Amrita Center For Cyber Security * >>> >>> >>> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>* >>> >>> >> >> >> -- >> *Thanks & Regards* >> >> Unmesha Sreeveni U.B >> >> *Junior Developer* >> >> *Amrita Center For Cyber Security * >> >> >> * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>* >> > > > > -- > *Thanks & Regards* > > Unmesha Sreeveni U.B > > *Junior Developer* > > *Amrita Center For Cyber Security * > > > * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>* > -- *Thanks & Regards* Unmesha Sreeveni U.B *Junior Developer* *Amrita Center For Cyber Security* * Amritapuri.www.amrita.edu/cyber/ <http://www.amrita.edu/cyber/>*
