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Original Research PRACTICE-BASED RESEARCH Evaluation of a Model Comparative Drug Price Resource in Fostering Prescriber Patient Engagement, Lowering Consumer Costs and Improving Adherence Marcia Hams,
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Gather relevant data: Collect all the necessary data associated with the model. This may include input data, output data, performance metrics, and any other relevant information required for the evaluation.
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In summary, filling out an evaluation of a model involves reviewing its purpose, gathering relevant data, defining evaluation criteria, analyzing the model's performance, documenting findings, and providing recommendations. The evaluation of a model is useful for data scientists, businesses, organizations, regulatory bodies, and government agencies to understand the model's effectiveness, make improvements, and ensure compliance.
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