task_categories:tabular-regression task_categories:tabular-classification size_categories:1K<n<10K language:en license:cc abalone tabular_regression regression binary_classification region:us
@misc{misc_abalone_1,
  title        = {{Abalone}},
  year         = {1995},
  howpublished = {UCI Machine Learning Repository},
  note         = {{DOI}: \\url{10.24432/C55C7W}}
}
---
language:
- en
tags:
- abalone
- tabular_regression
- regression
- binary_classification
pretty_name: Abalone
size_categories:
- 1K<n<10K
task_categories:
- tabular-regression
- tabular-classification
configs:
- abalone
- binary
license: cc
---
# Abalone
The [Abalone dataset](https://archive-beta.ics.uci.edu/dataset/1/abalone) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Predict the age of the given abalone.

# Configurations and tasks
| **Configuration** | **Task**                  | **Description**                         |
|-------------------|---------------------------|-----------------------------------------|
| abalone           | Regression                | Predict the age of the abalone.         |
| binary            | Binary classification     | Does the abalone have more than 9 rings?|

# Usage
```python
from datasets import load_dataset

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

# Features
Target feature in bold.

|**Feature**            |**Type**       |
|-----------------------|---------------|
| sex                   | `[string]`    |
| length                | `[float64]`   |
| diameter              | `[float64]`   |
| height                | `[float64]`   |
| whole_weight          | `[float64]`   |
| shucked_weight        | `[float64]`   |
| viscera_weight        | `[float64]`   |
| shell_weight          | `[float64]`   |
| **number_of_rings**   | `[int8]`      |