task_categories:tabular-classification size_categories:1K<n<10K language:en license:cc compas tabular_classification binary_classification UCI region:us
---
language:
- en
tags:
- compas
- tabular_classification
- binary_classification
- UCI
pretty_name: Compas
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- encoding
- two-years-recidividity
- two-years-recidividity-no-race
- priors-prediction
- priors-prediction-no-race
- race
license: cc
---
# Compas
The [Compas dataset](https://github.com/propublica/compas-analysis) for recidivism prediction.
Dataset known to have racial bias issues, check this [Propublica article](https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing) on the topic.

# Configurations and tasks
| **Configuration**                | **Task**                  | Description                                                     |
|----------------------------------|---------------------------|-----------------------------------------------------------------|
| encoding                         |                           | Encoding dictionary showing original values of encoded features.|
| two-years-recidividity           | Binary classification     | Will the defendant be a violent recidivist?                     |
| two-years-recidividity-no-race   | Binary classification     | As above, but the `race` feature is removed.                    |
| priors-prediction                | Regression                | How many prior crimes has the defendant committed?              |
| priors-prediction-no-race        | Binary classification     | As above, but the `race` feature is removed.                    |
| race                             | Multiclass classification | What is the `race` of the defendant?                            |


# Usage
```python
from datasets import load_dataset

dataset = load_dataset("mstz/compas", "two-years-recidividity")["train"]
```

# Features
|**Feature**                            |**Type**   |**Description**                        |
|---------------------------------------|-----------|---------------------------------------|
|`sex`                                  |`int64`    |                                       |
|`age`                                  |`int64`    |                                       |
|`race`                                 |`int64`    |                                       |
|`number_of_juvenile_fellonies`         |`int64`    |                                       |
|`decile_score`                         |`int64`    |Criminality score                      |
|`number_of_juvenile_misdemeanors`      |`int64`    |                                       |
|`number_of_other_juvenile_offenses`    |`int64`    |                                       |
|`number_of_prior_offenses`             |`int64`    |                                       |
|`days_before_screening_arrest`         |`int64`    |                                       |
|`is_recidivous`                        |`int64`    |                                       |
|`days_in_custody`                      |`int64`    |Days spent in custody                  |
|`is_violent_recidivous`                |`int64`    |                                       |
|`violence_decile_score`                |`int64`    |Criminality score for violent crimes   |
|`two_years_recidivous`                 |`int64`    |                                       |