地球资源数据云——数据资源详情
预测学生的辍学和学业成功
该数据集《Predict students' dropout and academic success》主要用于回归/预测任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Investigating the Impact of Social and Economic Factors 任务类型：表格回归/预测。 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：dataset.csv。 _____ Predict students' dropout and academic success Investigating the Impact of Social and Economic Factors By [[source]](https://zenodo.org/record/5777340#.Y7FJotJBwUE) _____ About this dataset This dataset provides a comprehensive view of students enrolled in various undergraduate degrees offered at a higher education institution. It includes demographic data, social - economic factors and academic performance information that can be used to analyze the possible predictors of student dropout and academic success. This dataset contains multiple disjoint databases consisting of relevant information available at the time of enrollment, such as application mode, marital status, course chosen and more. Additionally, this data can be used to estimate overall student performance at the end of each semester by assessing curricular units credited/enrolled/evaluated/approved as well as their respective grades.
摘要概览
该数据集《Predict students' dropout and academic success》主要用于回归/预测任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Investigating the Impact of Social and Economic Factors
任务类型：表格回归/预测。
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：dataset.csv。
_____ Predict students' dropout and academic success Investigating the Impact of Social and Economic Factors By [[source]](https://zenodo.org/record/5777340#.Y7FJotJBwUE) _____
About this dataset
This dataset provides a comprehensive view of students enrolled in various undergraduate degrees offered at a higher education institution. It includes demographic data, social - economic factors and academic performance information that can be used to analyze the possible predictors of student dropout and academic success.
This dataset contains multiple disjoint databases consisting of relevant information available at the time of enrollment, such as application mode, marital status, course chosen and more.
Additionally, this data can be used to estimate overall student performance at the end of each semester by assessing curricular units credited/enrolled/evaluated/approved as well as their respective grades.