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What is Interpretable Machine Learning Models

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Answer

Interpretable machine learning models are models, like linear regression or decision trees, that are naturally easy for humans to understand without needing extra explanation tools.
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