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The ensemble of SuperParent one-dependence estimators (SPODEs) is one of the most effective improved algorithms. It achieves high classification accuracy while decreasing variance. However, most existing approaches only focus on performance improvement of individual SPODEs in selection and weighting procedures but overlook the importance of the entire ensemble model.Based on the assumption that the...
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