地球资源数据云——数据资源详情
2023年上海世界大学排名
该数据集《Shanghai World University Rankings 2023》主要用于监督学习任务，数据形态以表格为主，应用场景偏向安全检测。 题目说明：Excellence in Education: World University Rankings 2023 任务类型：表格监督学习。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：shanghai - ranking_2023.csv。 The dataset comprises vital data of the top 1000 international universities, crucial for constructing various recommendation systems that account for diverse factors such as rankings, country and regional information as well as the enrollment statistics of both local and international students. Additionally, it includes key attributes necessary for the development of a web application, ensuring comprehensive coverage and functionality. Data Source : Shanghai Academic World University Ranking 2023 : https://www.shanghairanking.com/rankings/arwu/2023 Techniques : Collecting Method : Web Scraping.
摘要概览
该数据集《Shanghai World University Rankings 2023》主要用于监督学习任务，数据形态以表格为主，应用场景偏向安全检测。 题目说明：Excellence in Education: World University Rankings 2023
任务类型：表格监督学习。
建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：shanghai - ranking_2023.csv。
The dataset comprises vital data of the top 1000 international universities, crucial for constructing various recommendation systems that account for diverse factors such as rankings, country and regional information as well as the enrollment statistics of both local and international students.
Additionally, it includes key attributes necessary for the development of a web application, ensuring comprehensive coverage and functionality.
Data Source : Shanghai Academic World University Ranking 2023 : https://www.shanghairanking.com/rankings/arwu/2023
Techniques :
Collecting Method : Web Scraping.