Ravi/others: With all due respect, this seems off topic for this list. I believe there are machine learning lists for which such discussion might be better suited.
-- Bert On Wed, Mar 23, 2011 at 9:55 AM, Ravi Varadhan <rvarad...@jhmi.edu> wrote: > Ruben, > > Thanks for bringing attention to this very interesting article. > > The Kaggle competition model is aimed at identifying a "single" best > prediction machine. I am curious as to whether the Kaggle model described > in the article can be extended to an ensemble "uber-learner", where one can > combine the individual prediction models in Kaggle to obtain a more powerful > predictor. I know that Chris Volinsky and others have used this ensemble > learner idea in winning their Netflix competition. Is this a practically > feasible idea that can be implemented within the Kaggle system so that at > the end of the competition an uber-learner (that is better than the best > individual prediction) is automatically developed? Also, would there be > challenges associated with the interpretability and portability of the > resulting uber-learner? > > I would love to hear thoughts from the R prediction experts. > > Thanks & Best, > Ravi. > > ------------------------------------------------------- > Ravi Varadhan, Ph.D. > Assistant Professor, > Division of Geriatric Medicine and Gerontology School of Medicine Johns > Hopkins University > > Ph. (410) 502-2619 > email: rvarad...@jhmi.edu > > > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Rubén Roa > Sent: Wednesday, March 23, 2011 12:10 PM > To: r-help@r-project.org > Subject: [R] R helps win competitions > > > DeaR ComRades, > > This is a quote from a News article in Science's 11-February issue, about > competitions to model data: > > "For Chris Raimondi, a search-engine expert based in Baltimore, Maryland, > and winner of the HIV-treatment competition, the Kaggle contest motivated > him to hone his skills in a newly learned computer language called R, which > he used to encode the winning data model. Raimondi also enjoys the > competitive aspect of Kaggle challenges: "It was nice to be able to compare > yourself with others; ... it became kind of addictive. ... I spent more time > on this than I should." > > If you are interested read the full article here: > > http://www.sciencemag.org/content/331/6018/698.full > > > Rubén > > ____________________________________________________________________________ > ________ > > Dr. Rubén Roa-Ureta > AZTI - Tecnalia / Marine Research Unit > Txatxarramendi Ugartea z/g > 48395 Sukarrieta (Bizkaia) > SPAIN > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Bert Gunter Genentech Nonclinical Biostatistics ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
