Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
multiple test sets for comprehensive forecast evaluation. Ensure that the training set does not incorporate events that occur after the test set. • Beyond Metrics: While metrics are crucial, don’t solely rely on them to assess forecast quality. Examine residuals’ autocorrelation patterns and