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Which one of these classifiers are considered computationally efficient for high dimensional problems and why?

 

Define the below two classification methods: 

 

  • The decision trees and Naive Bayes. 

 

Elaborate on the theories behind these classifiers. Which one of these classifiers are considered computationally efficient for high dimensional problems and why?

 

Assignment Requirements:

 

  • 5-page paper(Including title page) – double spaced. (Does not include the title page and the reference page)
  • APA format
  • 4 scholarly references

 

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