What are the hyperparameters that are tested while choosing the best models?

Asked on 16.12.2018 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....
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