When would you use the random forests Vs SVM and why?

Data Science, AI and ML
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#1

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.