Machine-learning prediction methods have been extremely productive in applications ranging from medicine to allocating fire and health inspectors in cities. However, there are a number of gaps between making a prediction and making a decision, and underlying assumptions need to be understood in order to optimize data-driven decision-making.
However, there are several gaps between forecasting and decision making REF .
Beyond prediction: Using big data for policy problems
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Medicine Computer Science