imodels/compas-recidivism
Port of the compas-recidivism dataset from propublica (github here). See details there and use carefully, as there are serious known social impacts and biases present in this dataset. Basic preprocessing done by the imodels team in this notebook. The target is the binary outcome is_recid. Sample usage Load the data: from datasets import load_dataset dataset = load_dataset("imodels/compas-recidivism") df = pd.DataFrame(dataset['train']) X = df.drop(columns=['is_recid']) y =… See the full description on the dataset page: https://huggingface.co/datasets/imodels/compas-recidivism.
| Author / organization | imodels |
|---|---|
| Downloads | 499 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 13 August 2022 |
| Last updated at source | 13 August 2022 |
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