task_categories:tabular-classification size_categories:n<1K language:en license:cc arrhythmia tabular_classification multiclass_classification binary_classification UCI region:us
@misc{misc_arrhythmia_5,
  author       = {Guvenir,H., Acar,Burak & Muderrisoglu,Haldun},
  title        = {{Arrhythmia}},
  year         = {1998},
  howpublished = {UCI Machine Learning Repository},
  note         = {{DOI}: \\url{10.24432/C5BS32}}
}
---
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](https://archive.ics.uci.edu/ml/datasets/Arrhythmia) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
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
```python
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.