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
This interactive tool would let users upload a dataset and instantly compare its performance across the four key benchmark methods mentioned in the "Forecaster's Toolbox" (Chapter 5): Display a leaderboard using the book's recommended error
A variation of the naive method that allows forecasts to increase or decrease over time based on the average change in historical data. Core Functionality Forecasting: Principles and Practice