In RapidMiner, the attribute you wish to predict must be set to the role of ________.

• A. Target
• B. Label
• C. Outcome
• D. Predictor

Answer: (B)

In RapidMiner, the thing you want to predict is designated by assigning the Label role to that attribute. The model learns from the predictor attributes (the inputs) to estimate the value of the Label, which is the target of the prediction. This labeling tells the learning operators which column is the outcome to predict and which columns are the inputs used to make that prediction. Other roles aren’t used to mark the target variable, so they won't instruct the algorithm on what to forecast. For example, if you have features like age and income and a target like churn, you set churn as the Label and age/income as Predictors, so the model can learn to predict churn from those inputs.