<!-- Adapted from: claude-scientific-skills/scientific-skills/shap -- SHAP Model Explainability Explain ML predictions using Shapley values - feature importance and attribution. When to Use - Explain why a model made specific predictions - Calculate feature importance with attribution - Debug model behavior and validate predictions - Create interpretability plots (waterfall, beeswarm, bar) - Analyze model fairness and bias Quick Start Choose Explainer Compute SHAP Values Visualizations Global Feature Importance Individual Predictions Feature Relationships Heatmap (Multiple Samples) Common Pat…