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A proposed new ensemble method of classification Public

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A proposed new ensemble method for classification is introduced. The goal of the new method is to reduce CPU time while producing more accurate classification. This is achieved by using a smaller re-sampling rate compared to bagging, which is an existing ensemble method. Two variations of the new method are explored, and are compared to bagging. The accuracy of the two methods are comparable to bagging while the CPU time of the new ensemble procedure is reduced significantly.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Last modified
  • 10/11/2021
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Identifier
  • 03D151M
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Year
  • 2003
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Date created
  • 2003-01-01
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