task_categories:tabular-classification size_categories:n<1K language:en license:cc hayes tabular_classification binary_classification multiclass_classification UCI region:us
@misc{misc_hayes_efficiency_242,
  author       = {Tsanas,Athanasios & Xifara,Angeliki},
  title        = {{Hayes efficiency}},
  year         = {2012},
  howpublished = {UCI Machine Learning Repository},
  note         = {{DOI}: \\url{10.24432/C51307}}
}
---
language:
- en
tags:
- hayes
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Hayes evaluation
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- hayes
- hayes_1
- hayes_2
- hayes_3
license: cc
---
# Hayes
The [Hayes-Roth dataset](https://archive-beta.ics.uci.edu/dataset/44/hayes+roth) from the [UCI repository](https://archive-beta.ics.uci.edu).

# Configurations and tasks
| **Configuration** | **Task**                  | **Description**                |
|-------------------|---------------------------|--------------------------------|
| hayes             | Multiclass classification | Classify hayes type.           |
| hayes_1           | Binary classification     | Is this instance of class 1?   |
| hayes_2           | Binary classification     | Is this instance of class 2?   |
| hayes_3           | Binary classification     | Is this instance of class 3?   |



# Usage
```python
from datasets import load_dataset

dataset = load_dataset("mstz/hayes", "hayes")["train"]
```