Classification and regression trees
neighbor models in the nodes. GUIDE also can pro-duce ensemble models using bagging16 and random forest17 techniques. Table 1 summarizes the features of the algorithms. To see how the algorithms perform in a real ap-plication, we apply them to a data set on new cars for the 1993 model year.18 There are 93 cars and 25 variables.
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