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Hyper-heuristic evolutionary approach for constructing decision tree classifiers

In this paper, a hyper-heuristic approach was presented for tuning the hyper parameters of recursive and partition trees (Rpart), which is a typical implementation of CART in statistical and data analytics package R. The study employed an evolutionary algorithm as hyper-heuristic for tuning the hyper parameters of the decision tree classifier. |