What are the two hyperparameters that were being tested by use of Weka?

Asked on 03.01.2019 in All Questions.
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These are the hyperparameters that were being tested: MinNumObj: it indicates the minimum number of outcome per leaf. It is used to do an early stopping. If the leaf contains a really small number of objects or they belong to the same category, it is better to remove the leaf in order to have a more general model. Confidence factor: it is used to determine if it is necessary to cut a branch. Used for...
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