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--- |
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configs: |
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- config_name: math |
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data_files: |
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- path: math/train.csv |
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split: train |
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default: true |
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- config_name: reading |
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data_files: |
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|
- path: reading/train.csv |
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split: train |
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default: false |
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- config_name: writing |
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data_files: |
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|
- path: writing/train.csv |
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split: train |
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default: false |
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language: en |
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license: cc |
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pretty_name: Student performance |
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size_categories: 1M<n<10M |
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tags: |
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- tabular_classification |
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- binary_classification |
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- multiclass_classification |
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task_categories: |
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|
- tabular-classification |
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|
--- |
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# Student performance |
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|
The [Student performance dataset](https://www.kaggle.com/datasets/ulrikthygepedersen/student_performances) from Kaggle. |
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|
| **Configuration** | **Task** | **Description** | |
|
|
|-------------------|---------------------------|-----------------------------------------------------------------| |
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| encoding | | Encoding dictionary showing original values of encoded features.| |
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|
| math | Binary classification | Has the student passed the math exam? | |
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| writing | Binary classification | Has the student passed the writing exam? | |
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| reading | Binary classification | Has the student passed the reading exam? | |
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# Usage |
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|
```python |
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from datasets import load_dataset |
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|
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dataset = load_dataset("mstz/student_performance", "math")["train"] |
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``` |
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|
|
# Features |
|
|
|**Feature** |**Type** | |
|
|
|-----------------------------------|-----------| |
|
|
|`is_male` |`bool` | |
|
|
|`ethnicity` |`string` | |
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|
|`parental_level_of_education` |`int8` | |
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|
|`has_standard_lunch` |`bool` | |
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|
|`has_completed_preparation_test` |`bool` | |
|
|
|`reading_score` |`int64` | |
|
|
|`writing_score` |`int64` | |
|
|
|`math_score` |`int64` | |
