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S5E17 Classification and Regression Trees with Yi Feng

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Exploring Prediction and Explanation Methods in Data Analysis

This chapter explores the integration of prediction methods, such as Classification and Regression Trees, with explanation methods in data analysis, emphasizing the importance of using prediction models as a starting point for further analyses. From discussing variable importance measures to the concept of Moneyball in baseball, the conversation also touches on player projections, data analytics in sports, and transitioning roles in the field.

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