Solving Classification problems in R
Now I feel quite stupid :) I was assuming that since there is a "Clustering" one there would have been a "Classification" one as well :) Thanks for pointing it out to me! Luca Cerone Tel: +34 692 06 71 28 Skype: luca.cerone On Fri, Feb 28, 2014 at 6:38 PM, Prof Brian Ripley
<ripley at stats.ox.ac.uk> wrote:
http://cran.r-project.org/web/views/MachineLearning.html for a task view you missed. On 28/02/2014 17:10, Luca Cerone wrote:
Thanks for the advices Sergio and Jean-Olivier. Of course I forgot, but I am interested in supervised classification! I'll go through the packages you suggested to me! Any ideas for Neural Networks and Random Forests instead? Luca Cerone Tel: +34 692 06 71 28 Skype: luca.cerone On Fri, Feb 28, 2014 at 6:01 PM, JiHO <jo.lists at gmail.com> wrote:
Do you mean supervised or unsupervised classification. If supervised, I have had great success using gradient boosted classification in package gbm. multinomial distribution will get you multiple classes and it will select relevant predictors by itself given the training data. Not sure about the customized cost functions Jean-Olivier Irisson ? Universit? Pierre et Marie Curie Laboratoire d'Oc?anographie de Villefranche 181 Chemin du Lazaret 06230 Villefranche-sur-Mer Tel: +33 04 93 76 38 04 Mob: +33 06 21 05 19 90 http://www.obs-vlfr.fr/~irisson/ Send me large files at: http://www.obs-vlfr.fr/~irisson/upload/ On Fri, Feb 28, 2014 at 5:53 PM, Sergio Fonda <sergio.fonda99 at gmail.com> wrote:
Focus on MASS, CCA and e1071 packages Brgds, Sergio Il 28/feb/2014 17:47 "Luca Cerone" <luca.cerone at gmail.com> ha scritto:
Dear all, I would like some advices on R packages to solve classification problems. I have tried to search among the Task views, but couldn't find anything. Can somebody recommend me some packages? Some of the features I am looking for: - deal with multiple classes - use customized cost functions - perform features/predictors selection Any hint would be greatly appreciated, thanks a lot in advance for the help! Cheers, Luca
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______________________________________________ R-help at 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 at 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.
-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595