agarkov-aleksei1/20251214-agentic_disease_spread_catboost_pollutant_with_beta-infected_90d-dataset
收藏Hugging Face2025-12-14 更新2025-12-20 收录
下载链接：
https://hf-mirror.com/datasets/agarkov-aleksei1/20251214-agentic_disease_spread_catboost_pollutant_with_beta-infected_90d-dataset
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资源简介：
该数据集用于执行基于模拟器生成数据的假设分析。数据集包含多个特征，如初始感染人数、最低和最高免疫力、口罩的beta减少系数、污染物对免疫力的减少系数、感染系数以及90天内的感染人数（回归目标）。数据集由Aleksei Agarkov创建，许可证为MIT。
Dataset should be used to perform What if? analysis on the data generated from the simulator. It includes features such as initially infected agents, lowest and highest immunity, mask beta penalty, pollutant immunity reduction, infectivity coefficient, and number of infected agents by day 90 (regression target). The dataset is created by Aleksei Agarkov and licensed under MIT.
提供机构：
agarkov-aleksei1
