What is LIME, and how does it aid in model interpretability?
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Answer / Sulekha Kumari
LIME (Local Interpretable Model-agnostic Explanations) is a technique used for improving the interpretability of black box machine learning models. LIME explains the predictions of complex models by approximating them locally with simpler, more interpretable models that are easier to understand.
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