地球资源数据云——数据资源详情
该数据集《Global Student Migration & Higher Education Trends》主要用于监督学习任务,数据形态以表格为主。 题目说明:Where Students Have Migrated Globally for Higher Education (2019 - 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:global_student_migration.csv。 This dataset captures the global migration of students pursuing higher education from 2019 to 2023, including their countries of origin, destinations, universities, courses, placement outcomes, and more. It covers 10 major destination countries with realistic mappings of top universities and cities, reflecting trends and choices students have made over the last five years. This dataset can help analyze: Popular destination countries In - demand fields and courses Scholarship and visa trends

该数据集《Global Student Migration & Higher Education Trends》主要用于监督学习任务,数据形态以表格为主。 题目说明:Where Students Have Migrated Globally for Higher Education (2019 - 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:global_student_migration.csv。
This dataset captures the global migration of students pursuing higher education from 2019 to 2023, including their countries of origin, destinations, universities, courses, placement outcomes, and more.
It covers 10 major destination countries with realistic mappings of top universities and cities, reflecting trends and choices students have made over the last five years. This dataset can help analyze:
Popular destination countries
In - demand fields and courses
Scholarship and visa trends