Forecast Evaluation: Pitfalls & Best Practices for Data Scientists

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Forecast evaluation is crucial for assessing the accuracy and reliability of time series predictions. This presentation covers the importance of proper evaluation, common pitfalls like flawed metrics and data leakage, as well as challenges introduced by non-stationarity. We will also explore best practices, including robust benchmarks, maintaining data validation integrity, and statistical testing for model comparison. Leveraging experience in technology and analytical methodologies, this...