As an practical example, in an classification experiment on 492 617 training documents, 275 364 test documents and 132 199 categories of Yahoo!, ScutTD costs only 2.1 hours on training and 0.12 hours on classifying, while 1-vs-Rest costs 310 hours on training and 54 hours on classifying .
scutTD has a well-known deficiency of classification accuracy, that is, its performance is generally worse than the flat 1-vs-Rest approach (Bennett and Nguyen, 2009;Ceci and Malerba, 2007a;Xue et al., 2008).