Time Series Analysis 102

While building a forecast model the available data is generally divided into 2 sets -- training set and validation/test set. The training set is used to learn the model. The learned model is then used to forecast for the test set period. The accuracy is then calculated using the actual and forecasted values for the test set. The accuracy calculated on an unseen data gives an idea about how the model would perform in the real world on the future data.