Discuss the application of Partial Dependence Plots (PDPs) in interpreting complex models.

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.

Updated

Official answer available

Read the opening below, then unlock the full answer and practical guidance.

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...

Upgrade to view official answer

Related Questions