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



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

General information

Hepatitis data set
TypeClassificationOriginReal world
Features 19(Real / Integer / Nominal)(2 / 17 / 0)
Classes 2 Missing values? Yes
Total instances 155 Instances without missing values 80

Attribute description

AttributeDomainAttributeDomain
Age[7, 78]Spiders[1, 2]
Sex[1, 2]Ascites[1, 2]
Steroid[1, 2]Varices[1, 2]
Antivirals[1, 2]Bilirubin[0.3, 8.0]
Fatigue[1, 2]AlkPhosphate[26, 295]
Malaise[1, 2]Sgot[14, 648]
Anorexia[1, 2]AlbuMin[2.1, 6.4]
LiverBig[1, 2]ProTime[0, 100]
LiverFirm[1, 2]Histology[1, 2]
SpleenPalpable[1, 2]Class{1, 2}

Additional information

This data set contains a mixture of integer and real valued attributes, with information about patients affected by the Hepatitis disease.

The task is to predict if these patients will die (1) or survive (2).




In this section you can download some files related to the hepatitis 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/Hepatitis.


 
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