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

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    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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