Predict age of abalone from physical measurements

An abalone is an edible mollusk of warm seas that has a shallow ear-shaped shell lined with mother-of-pearl and pierced with respiratory holes. This dataset helps you predict the age of this mollusk.

Instances: 4417

Attributes: 9

Tasks: Classification, Regression

Downloads: 1144

Year Published: 1994

Missing Values: Yes

Attribute Details:
Name Type Description
sex string M, F, and I(infant)
length float Longest shell measurement (mm)
diameter float Perpendicular to length (mm)
height float With meat in chell (mm)
whole_weight float Whole abalone (grams)
shucked_weight float Weight of meat (grams)
viscera_weight float Gut weight: after bleeding (grams)
shell_weight float After being dried (grams)
rings integer Predictor: continuous from 1-29 except 28


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sex length diameter height whole weight shucked weight viscera weight shell weight rings
M 0.455 0.365 0.095 0.514 0.2245 0.101 0.15 15
M 0.35 0.265 0.09 0.2255 0.0995 0.0485 0.07 7
F 0.53 0.42 0.135 0.677 0.2565 0.1415 0.21 9
M 0.44 0.365 0.125 0.516 0.2155 0.114 0.155 10



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).

X Decoder Tables

Column Name One Hot Val Decoded Val
sex 1,0,0 F
sex 0,1,0 I
sex 0,0,1 M
Column Name Label Val Decoded Val
sex 0 F
sex 1 I
sex 2 M


UCI Machine Learning Repository

Data comes from an original (non-machine-learning) study:
Warwick J Nash, Tracy L Sellers, Simon R Talbot, Andrew J Cawthorn and Wes B Ford (1994)
"The Population Biology of Abalone (_Haliotis_ species) in Tasmania. I. Blacklip Abalone (_H. rubra_) from the North Coast and Islands of Bass Strait",
Sea Fisheries Division, Technical Report No. 48 (ISSN 1034-3288)

Original Owners of Database:

Marine Resources Division
Marine Research Laboratories - Taroona
Department of Primary Industry and Fisheries, Tasmania
GPO Box 619F, Hobart, Tasmania 7001, Australia
(contact: Warwick Nash +61 02 277277, wnash '@' dpi.tas.gov.au)

Donor of Database:

Sam Waugh (Sam.Waugh '@' cs.utas.edu.au)
Department of Computer Science, University of Tasmania
GPO Box 252C, Hobart, Tasmania 7001, Australia