When would you use random forests Vs SVM and why?

There are a couple of reasons why a random forest is a better choice of model than a support vector machine:

• Random forests allow you to determine the feature importance. SVM’s can’t do this.
• Random forests are much quicker and simpler to build than an SVM.
• For multi-class classification problems, SVMs require a one-vs-rest method, which is less scalable and more memory intensive.