Donated on 11/30/1995

Predict the age of abalone from physical measurements

Dataset Characteristics


Subject Area


Associated Tasks

Classification, Regression

Feature Type

Categorical, Integer, Real

# Instances


# Features


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?


Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
SexFeatureCategoricalM, F, and I (infant)no
LengthFeatureContinuousLongest shell measurementmmno
DiameterFeatureContinuousperpendicular to lengthmmno
HeightFeatureContinuouswith meat in shellmmno
Whole_weightFeatureContinuouswhole abalonegramsno
Shucked_weightFeatureContinuousweight of meatgramsno
Viscera_weightFeatureContinuousgut weight (after bleeding)gramsno
Shell_weightFeatureContinuousafter being driedgramsno
RingsTargetInteger+1.5 gives the age in yearsno

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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

Papers Citing this Dataset

Custodes: Auditable Hypothesis Testing

By Sacha Servan-Schreiber, Olga Ohrimenko, Tim Kraska, Emanuel Zgraggen. 2019

Published in ArXiv.

Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm

By Radin Rad, Maryam Haeri. 2019

Published in ArXiv.

Rank correlated subgroup discovery

By Mohamed Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet. 2019

Published in Journal of Intelligent Information Systems.

Communication Optimality Trade-offs For Distributed Estimation

By Anit Sahu, Dusan Jakovetic, Soummya Kar. 2018

Published in

0 to 5 of 57


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57 citations




Warwick Nash

Tracy Sellers

Simon Talbot

Andrew Cawthorn

Wes Ford


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