Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
cross-validation needs to be tailored. In contrast to cross-validation in other machine learning scenarios, time-series cross-validation mandates that observations in the training set must chronologically precede those in the test set. This guarantees that information from the future is not used