main main
KEEL-dataset - data set description
dataset/images/haberman.jpg



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

General information

Haberman survival data set
TypeClassificationOriginReal world
Features 3(Real / Integer / Nominal)(0 / 3 / 0)
Instances306 Classes2
Missing values?No

Attribute description

AttributeDomain
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).




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 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/Haberman%27s+Survival.


 
 Copyright 2004-2018, KEEL (Knowledge Extraction based on Evolutionary Learning)
About the Webmaster Team
Valid XHTML 1.1   Valid CSS!