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AWS Certified AI Practitioner · AWS
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The goal is to help people understand why the model makes its predictions. Partial Dependence Plots (PDPs) do exactly that by showing how changing one feature affects the model's prediction while holding other features constant. Example: If the model predicts quarterly demand, a PDP might show: As advertising spend increases → forecasted demand increases. As price increases → forecasted demand decreases. This makes the model's behavior understandable to business stakeholders.
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