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?
A. Linear kernel
B. Quadratic kernel
C. Higher-order polynomial kernel
D. RBF kernel
Answer:A
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?
A. Linear kernel B. Quadratic kernel C. Higher-order polynomial kernel D. RBF kernel