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model_predict(input_data): return model.predict(input_data) # Initialize the SHAP explainer explainer = shap.KernelExplainer(model_predict, X_train.values) # Calculate SHAP values for the test set shap_values = explainer.shap_values(X_test.values) # Plot the SHAP summary plot