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.
Worcester Polytechnic Institute
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