Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
RandomForestClassifier(n_estimators=100, random_state=42) model.fit(X, y) # Create a SHAP explainer explainer = shap.TreeExplainer(model) # Generate SHAP values for a specific instance instance = ... # Instance to explain shap_values = explainer.shap_values(instance) # Visualize the SHAP values