In a logistic regression process, which Rapid Miner operator must be used to indicate the target attribute to be predicted?

• A. Set Role
• B. Set Target
• C. Designate Label
• D. Specify Outcome

Answer: (A)

The main idea is marking which attribute the model should predict. For supervised learning like logistic regression, you need to identify the target (the label). In RapidMiner, the Set Role operator is used to assign roles to attributes, and you set the chosen attribute’s role to label. This tells the algorithm which value to predict from the other features. That's why this option is the correct choice: it directly designates the target variable so the model learns to map inputs to that label. Other options don’t perform this role assignment in RapidMiner, so they wouldn’t designate the target for the training process.