haberman_trainPublic.arff

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Hodgskin/challenges/TesteClass/public/haberman_trainPublic.arff
Hodgskin

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2010-07-28 21:20:16

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% 1. Title: Haberman's Survival Data
% 
% 2. Sources:
%    (a) Donor:   Tjen-Sien Lim (limt@stat.wisc.edu)
%    (b) Date:    March 4, 1999
% 
% 3. Past Usage:
%    1. Haberman, S. J. (1976). Generalized Residuals for Log-Linear
%       Models, Proceedings of the 9th International Biometrics
%       Conference, Boston, pp. 104-122.
%    2. Landwehr, J. M., Pregibon, D., and Shoemaker, A. C. (1984),
%       Graphical Models for Assessing Logistic Regression Models (with
%       discussion), Journal of the American Statistical Association 79:
%       61-83.
%    3. Lo, W.-D. (1993). Logistic Regression Trees, PhD thesis,
%       Department of Statistics, University of Wisconsin, Madison, WI.
% 
% 4. Relevant Information:
%    The dataset 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.
% 
% 5. Number of Instances: 306
% 
% 6. Number of Attributes: 4 (including the class attribute)
% 
% 7. Attribute Information:
%    1. Age of patient at time of operation (numerical)
%    2. Patient's year of operation (year - 1900, numerical)
%    3. Number of positive axillary nodes detected (numerical)
%    4. Survival status (class attribute)
%          1 = the patient survived 5 years or longer
%          2 = the patient died within 5 year
% 
% 8. Missing Attribute Values: None
%
% Information about the dataset
% CLASSTYPE: nominal
% CLASSINDEX: last
%

@relation haberman

@attribute Age_of_patient_at_time_of_operation INTEGER
@attribute Patients_year_of_operation {58,59,60,61,62,63,64,65,66,67,68,69}
@attribute Number_of_positive_axillary_nodes_detected INTEGER
@attribute Survival_status {1,2}

@data
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78,65,1,2


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