Displaying 2 results from an estimated 2 matches for "typey".
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type
2018 Jan 10
1
svm
...ific R package(s).
*Here is my codes:*
feature.x1 <- c(0.25,0.5,1,1,1.5,2,2.25,2.5,2,1,3, 5,3.75,
1,3.5,4,4,5,5.5,6,6,6.5)
length(feature.x1)
feature.x2 <- c(2,3.5,1,2.5,1.75,2,1.75,1.5,2.5,1,1,
3.5,3.5,5.8,3,4,4.5,5,4,1,4,3)
length(feature.x2)
y <- c(rep(-1,11), rep(1,11))
typey<-as.factor(y)
my.data.x1x2y <- data.frame(feature.x1, feature.x2, typey)
my.data.x1x2y
install.packages("e1071")
library(e1071)
SVM.Model1 <- svm(type ~ ., data=my.data.x1x2y, type='C-classification',
kernel='linear',scale=FALSE)
plot(my.data.x1x2y[,-3]...
2018 Jan 10
1
svm --- type~.
...ific R package(s).
*Here is my codes:*
feature.x1 <- c(0.25,0.5,1,1,1.5,2,2.25,2.5,2,1,3, 5,3.75,
1,3.5,4,4,5,5.5,6,6,6.5)
length(feature.x1)
feature.x2 <- c(2,3.5,1,2.5,1.75,2,1.75,1.5,2.5,1,1,
3.5,3.5,5.8,3,4,4.5,5,4,1,4,3)
length(feature.x2)
y <- c(rep(-1,11), rep(1,11))
typey<-as.factor(y)
my.data.x1x2y <- data.frame(feature.x1, feature.x2, typey)
my.data.x1x2y
install.packages("e1071")
library(e1071)
SVM.Model1 <- svm(type ~ ., data=my.data.x1x2y, type='C-classification',
kernel='linear',scale=FALSE)
plot(my.data.x1x2y[,-3]...