I trained a linear svm and did classification. looking at the model I have, with a binary response 0/1, the decision values look like this: head(svm.model$decision.values) 2.5 3.1 -1.0
looking at the fitted values head(svm.model$fitted) 1 1 0 So it looks like anything less than or equal 0 is mapped to the negative class, i.e. 0), otherwise it is mapped to the positive class, i.e. 1. 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?) > > Best, > > Yunfei Li > -------------------------------------------------------------------------------------- > Research Assistant > Department of Statistics & > School of Molecular Biosciences > Biotechnology Life Sciences Building 427 > Washington State University > Pullman, WA 99164-7520 > Phone: 509-339-5096 > http://www.wsu.edu/~ye_lab/people.html > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.
