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One of the prominent algorithms related to the classification task is the decision tree. The model presented with the tree data structure is learned directly from the data. Through the tree induction process, the characteristics of the training data are processed on the tree. The decision tree algorithm we often use and are used to seeing is the C4.5 algorithm [29]. Since the C4.5 algorithm is suitable for working with both numerical and categorical input variables, it can be used in many data sets.