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Decision Tree Data exploration with numerical value
I am fairly new to data science but wish to use a deicision tree to explore a dataset. The dataset has no label so I am assigning a label that would be a numerical value of 1-20. Would it be possible to have my label to target only high scorers on that attribute so a the class label would only be those objects which are scored 15 - 20 on the attribute I select as a label? If this make sense would anyone have any ideas of how to do so in rapidminer?
Any help is much appreciated.