The Decision Tree is delivered from this output port. The output of other operators can also be used as input. It is the output of the Retrieve operator in the attached Example Process. This description can be easily understood by studying the Example Process of the Decision Tree operator. Each leaf node represents a value of the label given the values of the input attributes represented by the path from the root to the leaf. The number of edges of an interior node is equal to the number of possible values of the corresponding input attribute. Each interior node of tree corresponds to one of the input attributes. The goal is to create a classification model that predicts the value of the label based on several input attributes of the ExampleSet. The representation of the data as Tree has the advantage compared with other approaches of being meaningful and easy to interpret. The non-binary splits on continuous attributes make the trees easier to understand and also seem to lead to more accurate trees in some domains. Although these repetitions can be simplfied when converting the decision tree into a set of rules, they make the constructed tree more leafy, unnecessarily deeper, and harder to understand for human experts. Using binary splits on numerical attributes implies that the attributes involved should be able to appear several times in the paths from the root of the tree to its leaves. If we have only categorical attributes, we can use any C4.5-like algorithm in order to obtain a multi-way decision tree, although we will usually obtain a binary tree if our dataset includes continuous attributes. Please study the documentation of the Subprocess operator for basic understanding of subprocesses. You need to have basic understanding of subprocesses in order to apply this operator. an operator that expects an ExampleSet and generates a Tree model. The subprocess must have a Tree learner i.e. The Decision Tree (Multiway) operator is a nested operator i.e. SynopsisThis operator generates a multiway decision tree. You are viewing the RapidMiner Studio documentation for version 8.0 - Check here for latest version Decision Tree (Multiway)
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