imodels/diabetes-readmission
Port of the diabetes-readmission dataset from UCI (link here). See details there and use carefully. Basic preprocessing done by the imodels team in this notebook. The target is the binary outcome readmitted. Sample usage Load the data: from datasets import load_dataset dataset = load_dataset("imodels/diabetes-readmission") df = pd.DataFrame(dataset['train']) X = df.drop(columns=['readmitted']) y = df['readmitted'].values Fit a model: import imodels import numpy as np m =… See the full description on the dataset page: https://huggingface.co/datasets/imodels/diabetes-readmission.
| Author / organization | imodels |
|---|---|
| Downloads | 225 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 14 August 2022 |
| Last updated at source | 14 August 2022 |
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