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2003 Nov 03
1
svm in e1071 package: polynomial vs linear kernel
...gamma = 1/(dim(data)-1), degree = 3) { mse <- 0; r2 <- 0 for (n in 1:ntry) { svm.model <- svm(formula , data = data, scale = scale, kernel = kernel, cross = cross) mse <- mse + svm.model$tot.MSE r2 <- r2 + svm.model$scorrcoeff } mse <- mse/ntry; r2 <- r2/ntry; result <- c(mse, r2) cat(sprintf("cv.svm> mse, r2 = %5.3f %5.3f\n", mse, r2)) return (result) } # define data set x1 <- rnorm(9); x2 <- rnorm(9) df <- data.frame(y = 2*x1 + x2, x1, x2) # invoke cv.svm() for linear and...