Forecasting: Principles And Practice [SAFE]

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

Forecasts are equal to the value of the last observation. Forecasting: Principles and Practice

Use STL decomposition (Seasonal-Trend decomposition using LOESS) to break down the user's data into Trend, Seasonality, and Remainder components. A variation of the naive method that allows

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): Forecasting: Principles and Practice