ETS (Error, Trend, Seasonality) Model

The ETS model, which stands for Error, Trend, and Seasonality, is a forecasting tool used to analyze time series data. It helps predict future values based on three key components: **Error** captures random fluctuations or noise, **Trend** indicates long-term movements in data (like steady growth or decline), and **Seasonality** reflects recurring patterns at specific intervals (like higher sales during holidays). By combining these elements, the ETS model produces more accurate forecasts, making it useful for businesses, economics, and various fields that rely on historical data trends.