Datasets:
metadata
language:
- en
tags:
- arrhythmia
- tabular_classification
- multiclass_classification
- binary_classification
- UCI
pretty_name: Arhythmia
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- arhytmia
- has_arhytmia
license: cc
Arhythmia
The Arrhythmia dataset from the UCI ML repository. Does the patient have arhythmia? If so, what type?
Configurations and tasks
Configuration | Task | Description |
---|---|---|
arhytmia | Multiclass classification | What type of arhythmia does the patient have? |
has_arhytmia | Binary classification | Does the patient have arhythmia? |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/arhythmia", "arhythmia")["train"]
Features
Target feature changes according to the selected configuration and is always in last position in the dataset.