Is it beneficial to perform dimensionality reduction before fitting an SVM? Why or why not?

Data Science Interview QuestionsCategory: Data ScienceIs it beneficial to perform dimensionality reduction before fitting an SVM? Why or why not?
1 Answers
MockInterview Staff answered 6 years ago
  • When the number of features is large comparing to the number of observations (e.g.¬†document-term matrix)
  • SVM will perform better in this reduced space

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