Common Pitfalls and Better Practices in Forecast Evaluation for Data Scientists

Christoph Bergmeir

Foresight: The International Journal of Applied Forecasting, 2023, issue 70, 5-12

Abstract: Nowadays, forecasting is often performed by data scientists with no specialized forecasting training. Such forecasters may be unaware of many pitfalls in forecast evaluation, leading to the improper evaluation we find in numerous papers published in the machine learning literature. Christoph Bergmeir explores forecast evaluation pitfalls and offers better practices to avoid them. Copyright International Institute of Forecasters, 2023

Date: 2023
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