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.
Use STL decomposition (Seasonal-Trend decomposition using LOESS) to break down the user's data into Trend, Seasonality, and Remainder components. Forecasting: Principles and Practice
Forecasts are equal to the mean of historical data. Display a leaderboard using the book's recommended error
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