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When developing machine learning models, you generally benchmark multiple models during the build phase. Then you estimate the performances of those models and select the model that you consider most likely to perform well. You need objective measures of performance to decide which forecast to retain as your actual forecast.

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Model Evaluation for Forecasting

  • 章节

  • 发表日期：

    2025年

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  • Joos Korstanje

摘要

When developing machine learning models, you generally benchmark multiple models during the build phase. Then you estimate the performances of those models and select the model that you consider most likely to perform well. You need objective measures of performance to decide which forecast to retain as your actual forecast.