Compare SHAP and LIME for explaining model predictions. What does SHAP guarantee that LIME does not?
Both explain one prediction by crediting features, but only one is backed by a uniqueness theorem. What interviewers reward is knowing SHAP's game-theory guarantees, LIME's instability, and when each fits. Here is the answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Both explain one prediction by crediting features, but only one is backed by a uniqueness theorem. What interviewers reward is knowing SHAP's game-theory guarantees, LIME's instability, and when each fits. Here is the answer.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
