In logistic regression, one designates an attribute to be predicted as 'label'. Which Rapid Miner operator can be used to do that?

• A. Set Role
• B. Label Data
• C. Define Target
• D. Assign Task

Answer: (A)

In supervised modeling, you tell the algorithm which attribute to predict by assigning it the role of the label. In RapidMiner, the Set Role operator is exactly for this purpose: it lets you mark a chosen attribute as the target (label) that the model should learn to predict. Once you set an attribute’s role to label, the logistic regression operator uses that attribute as the dependent variable during training, while the other attributes become input features.

The other options don’t perform this designation in RapidMiner. They aren’t standard operators for designating which attribute is the target, so they wouldn’t correctly instruct the model on what to predict. So the Set Role approach is the right one to designate the predictive target.