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Using C5.0 with Criterion as Information Gain?

varrxciavarrxcia Member Posts: 1 Learner I
in Help
I'm trying to learn more about decision trees (DT), and I stumbled upon C5.0 DT. I know that it uses information gain as the attribute selection measure. So I'm asking if I can modify the criterion of the DT operator to Information Gain, instead of the default, to make it use C5.0 DT? And I've read that the DT operator on RapidMiner is their own implementation of C4.5, and the program uses Gain Ratio as a default criterion, which suggests that it really uses C4.5. Although, I'm not yet sure. Is this information correct?
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