How do you ensure that a machine learning model is interpretable for non-technical stakeholders?

Use simple models like decision trees or linear regression and visualize model outputs with tools like SHAP or LIME to explain how predictions are made.For example,Showing a decision tree can help stakeholders understand the factors influencing predictions.