Back to results for “Why Model Interpretability Matters”
Explainable AI (XAI) › Interpretable Machine Learning Models

How does Interpretable Machine Learning Models work

Beginner

Answer

These models make decisions using simple, traceable logic, such as a clear set of weighted factors or a readable series of decision rules.
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