Final answer:
The accuracy of a predictive model is evaluated in the Evaluating phase of the CRISP-DM methodology using statistical calculations.
Step-by-step explanation:
The accuracy of a predictive model is evaluated in the Evaluating phase of the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology. This phase focuses on assessing the performance of the model and determining how well it fits the data and meets the project objectives. Statistical calculations are commonly used to compare the predicted outcomes with the actual outcomes to determine the accuracy of the model.