---
configs:
- config_name: two-years-recidividity
  data_files:
  - path: two-years-recidividity/train.csv
    split: train
  default: true
- config_name: two-years-recidividity-no-race
  data_files:
  - path: two-years-recidividity-no-race/train.csv
    split: train
  default: false
- config_name: priors-prediction
  data_files:
  - path: priors-prediction/train.csv
    split: train
  default: false
- config_name: priors-prediction-no-race
  data_files:
  - path: priors-prediction-no-race/train.csv
    split: train
  default: false
language: en
license: cc
pretty_name: Compas
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
---
# 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`    |                                       |