In RapidMiner, the attribute to be predicted must have its role set to which term?

• A. Input
• B. Label
• C. Target
• D. Output

Answer: (B)

In RapidMiner, the attribute you want to predict is designated with the role called Label. This tells the learning operators which column is the target variable and should be predicted, while all other attributes serve as input features. Marking the target as Label ensures it’s used as the ground truth for evaluation and is not treated as an input feature itself. Other roles like Input denote features, and Output or Target are not the standard designation for the prediction target in RapidMiner.