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in Data Science by
Q:
When would you use random forests Vs SVM and why?

1 Answer

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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.

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