Abalone
Donated on 11/30/1995
Predict the age of abalone from physical measurements
Dataset Characteristics
Tabular
Subject Area
Biology
Associated Tasks
Classification, Regression
Feature Type
Categorical, Integer, Real
# Instances
4177
# Features
8
Dataset Information
Additional Information
Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope -- a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem. From the original data examples with missing values were removed (the majority having the predicted value missing), and the ranges of the continuous values have been scaled for use with an ANN (by dividing by 200).
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Sex | Feature | Categorical | M, F, and I (infant) | no | |
| Length | Feature | Continuous | Longest shell measurement | mm | no |
| Diameter | Feature | Continuous | perpendicular to length | mm | no |
| Height | Feature | Continuous | with meat in shell | mm | no |
| Whole_weight | Feature | Continuous | whole abalone | grams | no |
| Shucked_weight | Feature | Continuous | weight of meat | grams | no |
| Viscera_weight | Feature | Continuous | gut weight (after bleeding) | grams | no |
| Shell_weight | Feature | Continuous | after being dried | grams | no |
| Rings | Target | Integer | +1.5 gives the age in years | no |
0 to 9 of 9
Additional Variable Information
Given is the attribute name, attribute type, the measurement unit and a brief description. The number of rings is the value to predict: either as a continuous value or as a classification problem. Name / Data Type / Measurement Unit / Description ----------------------------- Sex / nominal / -- / M, F, and I (infant) Length / continuous / mm / Longest shell measurement Diameter / continuous / mm / perpendicular to length Height / continuous / mm / with meat in shell Whole weight / continuous / grams / whole abalone Shucked weight / continuous / grams / weight of meat Viscera weight / continuous / grams / gut weight (after bleeding) Shell weight / continuous / grams / after being dried Rings / integer / -- / +1.5 gives the age in years The readme file contains attribute statistics.
Baseline Model Performance
Dataset Files
| File | Size |
|---|---|
| abalone.data | 187.4 KB |
| abalone.names | 4.2 KB |
| Index | 114 Bytes |
Papers Citing this Dataset
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By Sacha Servan-Schreiber, Olga Ohrimenko, Tim Kraska, Emanuel Zgraggen. 2019
Published in ArXiv.
By Radin Rad, Maryam Haeri. 2019
Published in ArXiv.
By Mohamed Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet. 2019
Published in Journal of Intelligent Information Systems.
By Zhilei Chai, Wei Song, Qinxin Bao, Feng Ding, Fei Liu. 2018
Published in Royal Society open science.
By Anit Sahu, Dusan Jakovetic, Soummya Kar. 2018
Published in
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset abalone = fetch_ucirepo(id=1) # data (as pandas dataframes) X = abalone.data.features y = abalone.data.targets # metadata print(abalone.metadata) # variable information print(abalone.variables)
Nash, W., Sellers, T., Talbot, S., Cawthorn, A., & Ford, W. (1994). Abalone [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C55C7W.
Keywords
Creators
Warwick Nash
Tracy Sellers
Simon Talbot
Andrew Cawthorn
Wes Ford
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.