地球资源数据云——数据资源详情
学生表现预测
该数据集《Student Performance Predictions》主要用于监督学习任务，数据形态以表格为主。 题目说明：Elevate Education: Analyze Student Success with Comprehensive Performance Data! 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：student_performance_updated_1000.csv。 Student Performance Dataset (Updated) Overview The Student Performance Dataset is designed to evaluate and predict student outcomes based on various academic and behavioral factors. This updated synthetic version now contains 1,000+ records, new features, and includes random missing values and intentional data errors to make it more realistic for data cleaning and preprocessing practice. It is ideal for beginners and researchers interested in: Exploratory Data Analysis (EDA)
摘要概览
该数据集《Student Performance Predictions》主要用于监督学习任务，数据形态以表格为主。 题目说明：Elevate Education: Analyze Student Success with Comprehensive Performance Data!
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：student_performance_updated_1000.csv。
Student Performance Dataset (Updated)
Overview
The Student Performance Dataset is designed to evaluate and predict student outcomes based on various academic and behavioral factors. This updated synthetic version now contains 1,000+ records, new features, and includes random missing values and intentional data errors to make it more realistic for data cleaning and preprocessing practice.
It is ideal for beginners and researchers interested in:
Exploratory Data Analysis (EDA)