You are given a labeled binary classification data set with N data points and D features. Suppose that N $<$ D$.$ In training an SVM on this data set, which of the following kernels is likely to be most appropriate?

Radial basis function $($RBF$)$ kernel

Higher$-$order polynomial kernel

Linear kernel

Quadratic kernel