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

import shap
import xgboost as xgb