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



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

General information

Glass Identification data set
TypeClassificationOriginReal world
Features 9(Real / Integer / Nominal)(9 / 0 / 0)
Instances214 Classes7
Missing values?No

Attribute description

AttributeDomain
RI[1.51115, 1.53393]
Na[10.73, 17.38]
Mg[0.0, 4.49]
Al[0.29, 3.5]
Si[69.81, 75.41]
K[0.0, 6.21]
Ca[5.43, 16.19]
Ba[0.0, 3.15]
Fe[0.0, 0.51]
TypeGlass{1, 2, 3, 4, 5, 6, 7}

Additional information

From USA Forensic Science Service; 6 types of glass which can be found in the crime scene, defined in terms of their oxide content (i.e. Na, Fe, K, etc).




In this section you can download some files related to the glass 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/Glass+Identification.


 
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