Why Time Series Forecasts Impossible Numbers
How can you measure the quality of forecasted values with the Time Series algorithm when you do not have the actual data yet? Waiting until the data is available is likely not practical because by that time, you might already have made wrong decisions based on your forecasting model. There is a better way to measure the performance of the Time Series model. Using a specific number of periods from the past, you can try to forecast present values. If the model performs well for forecasting present values, probability is good that it will perform well for forecasting future values
Tags: data mining