Hi all! I am having problems with using SVM in R I have a data frame `trainData` which contains 198 rows and? looks like Matchup Win HomeID AwayID A_TWPCT A_WST6 A_SEED B_TWPCT B_WST6 B_SEED2010_1115_1457?? 1?? 1115?? 1457?? 0.531????? 5???? 16?? 0.567????? 4???? 16 2010_1124_1358?? 1?? 1124?? 1358?? 0.774????? 5????? 3??? 0.75????? 5???? 14 ??? ... The testData is similar. In order to use SVM, I have to change the response variable Win to a factor. I tried the below: ??? trainDataSVM <- trainData ??? trainDataSVM$Win <- factor(trainDataSVM$Win) ??? svmfit =svm (Win ~ A_WST6 + A_SEED + B_WST6 + B_SEED , data = trainDataSVM , kernel ="linear", cost =10,scale =FALSE, probability=TRUE ) ??? testDataSVM<-testData ??? testDataSVM$Win <-factor(testDataSVM$Win) ??? predictions_SVM <- predict(bestmod, testDataSVM, type = "response",probability=TRUE) However, I get the message ??? Error in matrix(ret$prob, nrow = nrow(newdata), byrow = TRUE, dimnames = list(rowns,? : ? length of 'dimnames' [2] not equal to array extent If I re-run the code except not changing trainDataSVM$Win and testDataSVM$Win to factors, if I print out predictions_SVM, I get the message named numeric(0) How do I fix this? Thanks! [[alternative HTML version deleted]]