地球资源数据云——数据资源详情

出国留学费用预测

发布时间：2026-03-17 14:31:20资源ID：2031998002565386242资源类型：免费

该数据集《Abroad Study Cost Predictor》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：A dataset that contains cost of education for various different courses 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：abroad - Sheet1.csv。 This dataset provides information about the yearly fees for various courses offered by colleges and universities across different countries. The data is sourced from Jeduka.com, a platform known for providing detailed insights into educational opportunities abroad. The dataset consists of four key columns: COUNTRY: The country where the course is offered. COURSE: The specific course being offered (e.g., Engineering, Medicine, Business). COURSE TYPE: The type of course (e.g., Bachelor's, Master's, Diploma). FEES: The yearly tuition fees for the course in the respective country (in local currency). This dataset is ideal for those interested in comparing study costs across countries and analyzing trends in international education expenses. It can be utilized to predict and compare fees based on various parameters, helping students make informed decisions about their study abroad options.

出国留学费用预测

摘要概览

该数据集《Abroad Study Cost Predictor》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：A dataset that contains cost of education for various different courses

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：abroad - Sheet1.csv。

This dataset provides information about the yearly fees for various courses offered by colleges and universities across different countries. The data is sourced from Jeduka.com, a platform known for providing detailed insights into educational opportunities abroad. The dataset consists of four key columns:

COUNTRY: The country where the course is offered. COURSE: The specific course being offered (e.g., Engineering, Medicine, Business). COURSE TYPE: The type of course (e.g., Bachelor's, Master's, Diploma). FEES: The yearly tuition fees for the course in the respective country (in local currency).

This dataset is ideal for those interested in comparing study costs across countries and analyzing trends in international education expenses. It can be utilized to predict and compare fees based on various parameters, helping students make informed decisions about their study abroad options.