MLSurvey Results
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/Sheeba-Samuel/MLSurvey
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资源简介：
该数据集总结了针对15位领域专家进行的调查结果，探讨了在机器学习实验中实现可重复性所面临的挑战及必要因素。数据集突显了科学家在机器学习领域普遍遭遇的可重复性难题，并强调了为了确保实验的可重复性，正确记录工作的重要性。该数据集的任务是理解机器学习实验中的可重复性挑战。
This dataset summarizes the results of a survey administered to 15 domain experts, investigating the challenges and requisite factors for achieving reproducibility in machine learning experiments. It highlights the widespread reproducibility challenges faced by scientists in the machine learning field, and underscores the significance of proper documentation of research work to ensure experimental reproducibility. The core task of this dataset is to understand reproducibility challenges in machine learning experiments.
提供机构：
Sheeba Samuel
