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

Haberman survival data set

Description
Files and additional references

Description

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

General information

Haberman survival data set
Type	Classification	Origin	Real world
Features	3	(Real / Integer / Nominal)	(0 / 3 / 0)
Instances	306	Classes	2
Missing values?			No

Attribute description

Attribute	Domain
Age	[30, 83]
Year	[58, 69]
Positive	[0, 52]
Survival	{positive, negative}

Additional information

This data set contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of patients who had undergone surgery for breast cancer. The task is to determine if the patient survived 5 years or longer (positive) or if the patient died within 5 year (negative).

Files and additional references

In this section you can download some files related to the haberman 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/Haberman%27s+Survival.