Instruction: Explain how PDPs are used to show the effect of a feature on the prediction and discuss their limitations.
Context: This question assesses the candidate's understanding of Partial Dependence Plots as a tool for AI Explainability, including their ability to articulate how PDPs work and to critically evaluate their limitations.
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The way I'd explain it in an interview is this: Partial Dependence Plots are useful for showing how a feature affects the model's predicted output on average, holding other features in the background distribution. They can help teams understand broad directional relationships in complex...
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