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Life Classification

Predict the age of abalone from physical measurements......

数据结构 ? 0M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    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 '@'

    Donor of Database:

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

    Data Set 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).

    Attribute 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.

    Relevant Papers:

    Sam Waugh (1995) "Extending and benchmarking Cascade-Correlation", PhD thesis, Computer Science Department, University of Tasmania.
    [Web Link]

    David Clark, Zoltan Schreter, Anthony Adams "A Quantitative Comparison of Dystal and Backpropagation", submitted to the Australian Conference on Neural Networks (ACNN'96).




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