Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
y_train = ... # Training labels X_test = ... # Testing features # Train a random forest classifier rf_classifier = RandomForestClassifier(n_estimators=100, random_state=42) rf_classifier.fit(X_train, y_train) # Create a SHAP explainer explainer = shap.TreeExplainer(rf_classifier) # Calculate SHAP