Classification, Catboost, Fastapi, Docker, Streamlit.
print(f"Churn Probability: {formatted_churn_probability}") This Python script allows the user to predict churn using the pre-trained model. It converts the user’s input into a DataFrame and gives it to the model to make a prediction. The script ends by printing the result to the screen.