Ok, here a simple example. The file http://r.789695.n4.nabble.com/file/n4637924/test.csv test.csv has 400 lines containing 20 columns (1. column is class label, the other 19 are the features). So what I'm doing is / data <- read.csv(file="test.csv", head=F, sep=",")
names(data) <- c("Class","V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19") model <- svm(as.factor(Class)~., data=data, kernel="linear") / This gives me the result / Parameters: SVM-Type: C-classification SVM-Kernel: linear cost: 1 gamma: 0.05263158 Number of Support Vectors: 5 / When plotting this with / plot(model, data, V2~V1) / I'm getting http://r.789695.n4.nabble.com/file/n4637924/svm_result.png Where am I wrong here?? -- View this message in context: http://r.789695.n4.nabble.com/Only-one-class-shown-in-SVM-plot-tp4637782p4637924.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.