SurvSet
收藏arXiv2022-03-07 更新2024-07-24 收录
下载链接：
https://github.com/ErikinBC/SurvSet/
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资源简介：
SurvSet是首个专为快速基准测试机器学习算法和统计方法设计的时间到事件（T2E）数据集仓库。该数据集包含76个数据集，涵盖了不同的维度、时间依赖性和背景，多数来自生物医学领域。数据集格式一致，支持单一预处理方法适用于所有数据集。SurvSet旨在解决T2E分析中算法评估的难题，特别是在生存分析领域，为机器学习社区提供了一个重要的资源。
SurvSet is the first dedicated time-to-event (T2E) dataset repository specifically designed for rapid benchmarking of machine learning algorithms and statistical methodologies. It comprises 76 datasets spanning diverse dimensions, temporal dependencies and application contexts, with most sourced from the biomedical domain. All datasets share a unified format, enabling a single preprocessing workflow to be applied across the entire repository. SurvSet aims to address the challenges of algorithm evaluation in T2E analysis, particularly within the field of survival analysis, serving as a critical resource for the machine learning community.
提供机构：
未提及
创建时间：
2022-03-07
