How to choose a kernel function:

How to choose a kernel function:
If the number of features is as large as the number of samples, choose LR or SVM with linear kernel;
If the number of features is small and the number of samples is normal, SVM+Gaussian kernel function is selected;
If the number of features is small and the number of samples is large, you need to manually add some features to become the first case.