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



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

General information

Credit Approval data set
TypeClassificationOriginReal world
Features 15(Real / Integer / Nominal)(3 / 3 / 9)
Classes 2 Missing values? Yes
Total instances 690 Instances without missing values 653

Attribute description

AttributeDomainAttributeDomain
A1{b, a}A9{t, f}
A2[16.0, 8025.0]A10{t, f}
A3[0.0, 26335.0]A11[0, 67]
A4{u, y, l}A12{f, t}
A5{g, p, gg}A13{g, s, p}
A6{w, q, m, r, cc, k, c, d, x, i, e, aa, ff, j}A14[0, 2000]
A7{v, h, bb, ff, j, z, o, dd, n}A15[0, 100000]
A8[0.0, 14415.0]Class{positive, negative}

Additional information

This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the data.

This data set is interesting because there is a good mix of attributes: continuous, nominal with small numbers of values, and nominal with larger numbers of values. This data set is a extended version of the Australian data set (it has one more attribute, A8).




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

  • The complete data set already formatted in KEEL formatcan 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/Credit+Approval.


 
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