Classification, Catboost, Fastapi, Docker, Streamlit.
{customer_id}: Actual value for the Customer Churn : {y_test.iloc[customer_index]}') y_pred = model.predict(X_test) st.write(f"Customer {customer_id}: CatBoost Model's prediction for the Customer Churn : {y_pred[customer_index]}") plot_shap(model, data, customer_id, X_train=X_train, X_test=X_test)