In RapidMiner, what is the required role designation for the variable the model predicts?

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

Answer: (C)

In predictive modeling, you designate the variable you want to forecast as the label. In RapidMiner, each attribute has a role, and the attributes you feed into the model are inputs (the predictors), while the attribute you try to predict is the label. This labeling is crucial for both training and evaluation: the algorithm uses the input attributes to learn to predict the label, and you compare the model’s predictions to the true label values to measure performance. Other roles like input or output don’t describe the target the model should predict, and target isn’t the standard designation in this context. So the correct designation for the variable the model predicts is the label.