i playing around support vector machines in r-language. using e1071 package. as long follow manual pages or tutorial @ wikibooks everythings works. if try use own datasets examples things aren't anymore. it seems model creation fails reason. @ least not getting levels on target column. below find example clarification. maybe can me figure out doing wrong here. here code , data. test dataset target,col1,col2 0,1,2 0,2,3 0,3,4 0,4,5 0,5,6 0,1,2 0,2,3 0,3,4 0,4,5 0,5,6 0,1,2 0,2,3 0,3,4 0,4,5 1,6,7 1,7,8 1,8,9 1,9,0 1,0,10 1,6,7 1,7,8 1,8,9 1,9,0 1,0,10 1,6,7 1,7,8 1,8,9 1,9,0 1,0,10 r-script library(e1071) dataset <- read.csv("test.csv", header=true, sep=',') tuned <- tune.svm(target~., data = dataset, gamma = 10^(-6:-1), cost = 10^(-1:1)) summary(tuned) model <- svm(target~., data = dataset, kernel="radial", gamma=0.001, cost=10) summary(model) output of summary(model) statement + summary(model) call: svm(formula = t...