Let see the following data samples in Figure $2($different shapes mean different classes$).$ Which one$($s$)$ of the kernels

can be used in the SVM to separate the two classes samples?

Figure $2$: Samples distribution for Optional Problem $1$

$(1)$ Linear kernel $(2)$ Polynomial kernel $(3)$ Gaussian radial basis function $($RBF$)$ kernel

$(4)$ All of the above $(5)$ None of the above