What does the parameter of svm signify?

svm
r

#1

I am currently studying about the svm I want to create the model of svm in R I have created the model but when I have used the summary on the model the model I am getting the value of gamma epsilon which I am not understand .

set.seed(1)
 x<-matrix(rnorm(20*2),ncol=2)
 y<-c(rep(-1,10),rep(1,10))
 x[y==1,]=x[y==1,]+1
 plot(x,col=(3-y))
 dat<-data.frame(x=x,y=y)
 require(e1071)
 svmfit=svm(y~.,data=dat,kernel="linear",cost=10,scale=FALSE)
summary(svmfit)

Call:

svm(formula = y ~ ., data = dat, kernel = "linear", cost = 10, scale = FALSE)

Parameters:
SVM-Type: eps-regression
SVM-Kernel: linear
cost: 10
gamma: 0.5
epsilon: 0.1

Number of Support Vectors: 19


#2

@hinduja1234-
cost- C is the parameter for the soft margin cost function, which controls the influence of each individual support vector; this process involves trading error penalty for stability.

gamma-Gamma is the free parameter of the Gaussian radial basis function.

epsilon- has an effect on the smoothness of the SVM’s response and it affects the number of support vectors, so both the complexity and the generalization capability of the network depend on its value.

Hope this helps!
Regards,
harry