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The purpose of "Decision Tree (Multiway) operator" is?
The purpose of "Decision Tree (Multiway) operator" is? The help just emphasizes "The Decision Tree (Multiway) operator is a nested operator i.e. it has a subprocess. The subprocess must have a Tree learner i.e. an operator that expects an ExampleSet and generates a Tree model. ",what is the unique function of this operator ?
in addition,the result of its attached tutorial process is empty
in addition,the result of its attached tutorial process is empty
0
Answers
you have to select an element on the left.
The Decision Teree (Multiway) is a grouped model that additionally applies discretization based on the results of it's inner tree model.
Greetings,
Jonas
the main difference is the multisplit vs the binary tree, for the motivation of the algorithm i can only cite this paper.
...it dramatically reduces tree complexity without hurting classifier accuracy at a reasonable cost. Moreover, knowledge workers (the executives, analysts, and managers who employ decision support systems) usually feel more comfortable with multi-way splits than with binary trees, and this is also true for numerical attributes.
Jonas
It may look the same, but one is a binary tree the other one could have multiple categorical splits.
Greetings,
Jonas