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http://dx.doi.org/10.7465/jkdi.2016.27.4.855

A simple diagnostic statistic for determining the size of random forest  

Park, Cheolyong (Major in Statistics, Keimyung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.4, 2016 , pp. 855-863 More about this Journal
Abstract
In this study, a simple diagnostic statistic for determining the size of random forest is proposed. This method is based on MV (margin of victory), a scaled difference in the votes at the infinite forest between the first and second most popular categories of the current random forest. We can note that if MV is negative then there is discrepancy between the current and infinite forests. More precisely, our method is based on the proportion of cases that -MV is greater than a fixed small positive number (say, 0.03). We derive an appropriate diagnostic statistic for our method and then calculate the distribution of the statistic. A simulation study is performed to compare our method with a recently proposed diagnostic statistic.
Keywords
Diagnostic statistic; margin of victory; random forest; size determination;
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Times Cited By KSCI : 2  (Citation Analysis)
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