Hi Yunfei, On Fri, Apr 8, 2011 at 8:35 PM, Li, Yunfei <yunfei...@wsu.edu> wrote: > Hi, > > I am studying using SVM functions of e1071 package to do prediction, and I > found during the training data are "factor" type, then svm.predict() can > predict data directly by categories; but if response variables are > "numerical", the predicted value from svm will be continuous quantitative > numbers, then how can I connect these quantitative numbers to categories? > (for example:in an example data set, the response variables are numerical and > have two categories: 0 and 1, and the predicted value are continuous > quantitative numbers from 0 to 1.3, how can I know which of them represent > category 0 and which represent 1?)
You have to figure out if you want the svm to do classification or regression. If I remember correctly, a "vanilla" call to SVM will try to pick one or the other in a "smart way" by looking at the types (and values) of your labels (y vector). You can be more explicit and tell the SVM what you want by specifying a value for the `type` argument in your original `svm` call. See ?svm for more info. I'm not sure if I'm answering your question or not(?). If I didn't understand what you wanted, perhaps you can rephrase your question, or maybe explain how my answer is not what you were after ... otherwise hopefully someone else can provide a better answer. -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ 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.
