What are some methods for interpreting AI models?
There are several methods for interpreting AI models, including LIME, SHAP, and feature importance analysis.
Can you explain LIME?
LIME, or Local Interpretable Model-agnostic Explanations, explains individual predictions by approximating the model locally with an interpretable one.
What about SHAP?
SHAP, or SHapley Additive exPlanations, assigns each feature an importance value for a particular prediction, based on cooperative game theory.
Are there any visual tools for these methods?
Yes, tools like SHAP's summary plots and LIME's local interpretable visualizations help visualize the importance of features.
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