ML Problem Framing
A model can be accurate and useless if it predicts the wrong thing. Framing decides what is predicted, for which decision, and how success is judged.
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Machine Learning Problem Framing
A fictional churn project shows why predicting who will leave is not enough to decide whom to call. Evaluate incremental benefit, costs, and constraints.