metadata
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 from the UCI ML repository. 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
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] |