KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

Liver Disorders (BUPA) data set

Description
Files and additional references

Description

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

General information

Liver Disorders (BUPA) data set
Type	Classification	Origin	Real world
Features	6	(Real / Integer / Nominal)	(1 / 5 / 0)
Instances	345	Classes	2
Missing values?			No

Attribute description

Attribute	Domain
Mcv	[65, 103]
Alkphos	[23, 138]
Sgpt	[4, 155]
Sgot	[5, 82]
Gammagt	[5, 297]
Drinks	[0.0, 20.0]
Selector	{1,2}

Additional information

This data set analizes some liver disorders that might arise from excessive alcohol consumption (the first 5 variables), and the number of half-pint equivalents of alcoholic beverages drunk per day for each individual. The task is to select if a given individual suffers from alcoholism.

Files and additional references

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

The complete data set already formatted in KEEL format can be downloaded from here .
A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here .
A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here .
The header file associated to this data set can be downloaded from here .
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/Liver+Disorders.