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What are best practices for Interpretable Machine Learning Models

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When working with Interpretable Machine Learning Models, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example A company chooses a decision tree, an interpretable model, over a complex neural network so it can easily explain loan decisions to customers.

Common follow-ups: What is Explainable AI (XAI), How is Interpretable Machine Learning Models evaluated in practice, What tools are commonly used for Interpretable Machine Learning Models

Explainable AI (XAI) topics: Introduction to Explainable AI Why Model Interpretability Matters SHAP Values for Model Explanation
All 7 Interpretable Machine Learning Models questions