student_performance_por

649 student records from two Portuguese secondary schools, collected via school reports and questionnaires. The dataset includes final year grades (G3) alongside demographic, social, and school-related features for the Portuguese language subject. It was uploaded to OpenML under a CC-BY-4.0 license.

Use Cases

• Predicting final year grades (G3) based on demographic and behavioral features like study time and past failures.
• Analyzing the impact of family background (parent education, job, family support) on academic performance.
• Investigating correlations between school-related factors (school choice reason, extra support) and student achievement.
• Building classifiers to identify students at risk of low performance using features like age, failures, and family relationships.

Strengths

• Includes 24 attributes covering grades, demographics, social, and school-related features.
• Attributes are well-documented with clear descriptions and value codes (e.g., mother's education from 0 to 4).
• Data collection method (school reports and questionnaires) is explicitly stated.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Data is limited to two Portuguese schools, which may affect generalizability.

Provenance

Source

null

Collection Method

Collected using school reports and questionnaires.

Time Range

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Freshness

null

Geography

Two Portuguese secondary schools (Gabriel Pereira and Mousinho da Silveira).