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KEEL-dataset - data set description
dataset/images/abalone.jpg



This section describes main characteristics of the abalone data set and its attributes:

General information

Abalone data set
TypeClassificationOriginReal world
Features 8(Real / Integer / Nominal)(7 / 0 / 1)
Instances4174 Classes28
Missing values?No

Attribute description

AttributeDomain
Sex{M, F, I}
Length[0.075, 0.815]
Diameter[0.055, 0.65]
Height[0.0, 1.13]
Whole_weight[0.0020, 2.8255]
Shucked_weight[0.0010, 1.488]
Viscera_weight[0.0005, 0.76]
Shell_weight[0.0015, 1.005]
Rings{15, 7, 9, 10, 8, 20, 16, 19, 14, 11, 12, 18, 13, 5, 4, 6, 21, 17, 22, 1, 3, 26, 23, 29, 2, 27, 25, 24}

Additional information

Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone and counting the number of rings through a microscope. 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.

In this version, 3 duplicated instances have been removed from the original UCI dataset.




In this section you can download some files related to the abalone data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository . The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Abalone.


 
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