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Dataset assetOpen Source CommunityBinary ClassificationStudent Academic Performance
mstz/student_performance
The student performance dataset, sourced from Kaggle, contains students' mathematics, writing, and reading exam scores. The task is binary classification to determine whether a student passed the mathematics, writing, or reading exam. Features include gender, ethnicity, parental education level, whether the student receives standard lunch, whether a preparation test was completed, and the reading, writing, and mathematics scores.
Source
hugging_face
Created
Nov 28, 2025
Updated
Apr 7, 2023
Signals
491 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Basic Information
- Name: Student Performance
- Language: English
- Tags:
- student performance
- tabular_classification
- binary_classification
- Description: Student performance dataset
- Size Category: n<1K
- Task Category: tabular‑classification
- Configurations:
- encoding
- math
- writing
- reading
- License: cc
Configuration Details
| Configuration | Task | Description |
|---|---|---|
| encoding | Encoding dictionary showing original values of encoded features. | |
| math | Binary classification | Does the student pass the mathematics exam? |
| writing | Binary classification | Does the student pass the writing exam? |
| reading | Binary classification | Does the student pass the reading exam? |
Feature Details
| Feature | Type |
|---|---|
is_male | bool |
ethnicity | string |
parental_level_of_education | int8 |
has_standard_lunch | bool |
has_completed_preparation_test | bool |
reading_score | int64 |
writing_score | int64 |
math_score | int64 |
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