metadata
configs:
- config_name: pima
data_files:
- path: pima/train.csv
split: train
default: true
language: en
license: cc
pretty_name: Pima
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
pima
The pima dataset from the UCI ML repository. Predict diabetes of a patient.
Configurations and tasks
| Configuration | Task | Description |
|---|---|---|
| pima | Binary classification | Does the patient have diabetes? |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/pima")["train"]