Student Grade Prediction
Dataset
A student performance dataset from the UCI Machine Learning Repository, containing student data for mathematics and Portuguese courses in Portuguese secondary schools, covering 33 demographic, social, and school-related features, suitable for educational data mining research.
Dataset Highlights
Rich educational datasets suitable for social science and educational data mining
Real Educational Data
Data comes from real student records of two high schools in Portugal, including three exam scores (G1, G2, G3).
Social Factors
Includes rich social background information such as family size, parents' occupations, parents' education levels, and family relationships.
Behavioral Characteristics
Includes students' behavioral characteristics such as drinking frequency on weekdays and weekends, frequency of going out, and health status.
Dual Subject Data
Provides independent datasets for mathematics and Portuguese courses, allowing for cross-disciplinary comparative analysis.
Regression and Classification
Scores G3 can be used as continuous values for regression or grouped for classification (pass/fail).
UCI Authoritative Source
Originates from the UCI Machine Learning Repository, published in an academic paper by P. Cortez et al.
Applicable Scenarios
Rich application scenarios from grade prediction to social factor analysis
Grade Prediction
Predict students' final grades based on social and behavioral characteristics, practicing regression and classification algorithms
Factor Analysis
Analyze which family and social factors most affect student performance, discovering educational patterns
Comparative Study
Compare the differences in factors affecting grades in mathematics and Portuguese courses
Exploratory Analysis
Visualize the relationship between social factors and academic performance, suitable for educational data EDA
Data Preview
The following are examples of the first few rows of the student math scores dataset
school,sex,age,address,famsize,Pstatus,Medu,Fedu,Mjob,Fjob,...,G1,G2,G3 GP,F,18,U,GT3,A,4,4,at_home,teacher,...,5,6,6 GP,F,17,U,GT3,T,1,1,at_home,other,...,5,5,6 GP,F,15,U,LE3,T,1,1,at_home,other,...,7,8,10 GP,F,15,U,GT3,T,4,2,health,services,...,15,14,15 GP,F,16,U,GT3,T,3,3,other,other,...,6,10,10
3 Steps to Get Started
From browsing to analysis, you can start your data science project in just a few minutes
Browse the Dataset
View dataset details on the Ace Data Cloud platform, understand field descriptions, sample size, and licensing agreements.
Download Data
Download the two CSV files for math (42 KB) and Portuguese (69 KB).
Load and Analyze
Use pandas.read_csv() to load the data and start exploring the relationship between social factors and scores.
Start Exploring Student Score Data
A classic educational dataset with open licensing, available for immediate download. 33 social and behavioral features make it an ideal choice for educational data mining and social science analysis.