SVM in R language

Question

I have two data set like below 1st dataset

x1    x2      types
1     3         1
2     4         1
3     5         1

2nd dataset

x1    x2      types
4     8         -1
2     10        -1
3     12        -1

in 1st dataset x2 = 2+x1 amd 2nd x2= 2*x1 how can I train the dataset for SVM in R language so that if i input another data like(2,4) it will present in class 2

Answer 1

You have to tell svm() which is the class that has the label that describes you data, what is your dataset, and what parameters you want to use.

For example, supposing all of your data is together on a dataframe called "dataset" you could call:

svm(types ~., data = dataset, kernel = "radial", gamma = 0.1, cost = 1)

To check what parameters are better for your problem you can use tune.svm().

tune.svm(types~., data = dataset, gamma = 10^(-6:-1), cost = 10^(-3:1))