Hello, I hope you can help me! I`m trying to tune svm parameters: cost and gamma for a landsat image classification, but I get an error and I can't understand it. I write this: > tune(svm, Class~., data = mdt01bis, ranges = list(gamma = 2^(-15:3), cost > = 2^(-5:15))) and R gives: Error en predict.svm(model, if (!is.null(validation.x)) validation.x else if (useFormula) data[-train.ind[[sample]], : test data does not match model !
The matrix is as follows, with 720 rows and 4 categories in column Class B1 B2 B3 B4 B5 B6 Class [1,] "0.0450" "0.0599" "0.1169" "0.1820" "0.3040" "0.2826" "CV" [2,] "0.0481" "0.0630" "0.1222" "0.1854" "0.3040" "0.2891" "CV" [3,] "0.0497" "0.0630" "0.1329" "0.1988" "0.2929" "0.2794" "CV" [4,] "0.0450" "0.0567" "0.1196" "0.1854" "0.2973" "0.2859" "CV" and the svm: > svm(Class~., data=mdt01bis, method="C-classification", kernel="radial", > cost=10, gamma=0.1) works ok. Could you please tell me what is wrong? Thanks a lot! -- View this message in context: http://r.789695.n4.nabble.com/tune-svm-tp2209804p2209804.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.
