Hi Stephen, How many variables do you have? How many of them are categorical? How many observations do you have? Since I am not a racing expert, in how many races a typical horse participates? How many years does it usually span?
In the past I had a good experience with Random Forest. There exists a RandomForest package in R. If you run out of memory and do not mind to spend some time you can try the original Fortran code (after trying the R package without saving the forest). Regards, Moshe. --- [EMAIL PROTECTED] wrote: > Hi > > I am trying to use various techniques (eg svm, > logistic regression, > neural networks) to classify and predict the outcome > of horse races. > > Most of my predictive features are categorical - > horse, jockey, trainer > - and I keep on running out of memory owing to the > size of the vector. > > Does anyone know how to solve the problem? > > I have classified the outcomes as win/lose or > place/lose with a view to > train on x years of results and then testing on the > subsequent years > results. Is there some alternate way of looking at > the problem? > > Does anyone have pointers to published work in this > area? > > Thanks. > > Stephen > > ______________________________________________ > 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.
