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



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

General information

Appendicitis data set
TypeClassificationOriginReal world
Features 7(Real / Integer / Nominal)(7 / 0 / 0)
Instances106 Classes2
Missing values?No

Attribute description

AttributeDomain
At1[0.0,1.0]
At2[0.0,1.0]
At3[0.0,1.0]
At4[0.0,1.0]
At5[0.0,1.0]
At6[0.0,1.0]
At7[0.0,1.0]
Class{0,1}

Additional information

This dataset was proposed in S. M. Weiss, and C. A. Kulikowski, Computer Systems That Learn (1991).

The data represents 7 medical measures taken over 106 patients on which the class label represents if the patient has appendicitis (class label 1) or not (class label 0).




In this section you can download some files related to the appendicitis 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.


 
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