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After training a model, evaluating its performance becomes a crucial step. Researchers strive to establish quantitative evaluation metrics and industry-recognized experimental validation standards. This section delves into model evaluation and validation, encompassing two key aspects: model evaluation metrics and model validation methods.

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Model Evaluation and Validation

  • 工具书词条

  • 发表日期：

    2026年

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  • Zhe Wang

摘要

After training a model, evaluating its performance becomes a crucial step. Researchers strive to establish quantitative evaluation metrics and industry-recognized experimental validation standards. This section delves into model evaluation and validation, encompassing two key aspects: model evaluation metrics and model validation methods.