Forecasting: Principles And Practice · Secure

Display a leaderboard using the book's recommended error metrics like MAE (Mean Absolute Error) and RMSE (Root Mean Squared Error) to identify which benchmark is hardest to beat.

Forecasts are equal to the mean of historical data. Forecasting: Principles and Practice

Forecasts are equal to the last observed value from the same season. Display a leaderboard using the book's recommended error

Include interactive plots that show how parameters like the "smoothing rate" in Exponential Smoothing change the forecast line in real-time. Implementation Resources You can build this using the following tools and libraries: Forecasting: Principles and Practice (3rd ed) - OTexts Forecasting: Principles and Practice