In the linear regression method, designate an attribute to be predicted as 'label'. Which Rapid Miner operator can be used to do that?

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Multiple Choice

In the linear regression method, designate an attribute to be predicted as 'label'. Which Rapid Miner operator can be used to do that?

Explanation:
Assigning which attribute to predict is done by giving that attribute the label role. In RapidMiner, learning operators rely on attribute roles to know which column is the target. Use the Set Role operator to assign the role to the chosen attribute, selecting 'label' as the role. After that, the linear regression algorithm will treat that attribute as the target and use the remaining attributes as predictors. The other options are not standard RapidMiner operators for this task; they don’t precisely assign the target role.

Assigning which attribute to predict is done by giving that attribute the label role. In RapidMiner, learning operators rely on attribute roles to know which column is the target. Use the Set Role operator to assign the role to the chosen attribute, selecting 'label' as the role. After that, the linear regression algorithm will treat that attribute as the target and use the remaining attributes as predictors. The other options are not standard RapidMiner operators for this task; they don’t precisely assign the target role.

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